[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-anthropic-exam-forecast":3,"mdc--iwtleh-key":34,"related-repo-anthropic-exam-forecast":1309,"related-org-anthropic-exam-forecast":1409},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":32,"mdContent":33},"exam-forecast","forecast exam patterns from past papers","Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says \"what's on the exam\", \"analyze past exams\", \"predict the exam\", or shares past exams.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"anthropic","Anthropic","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fanthropic.png","anthropics",[13,17,20],{"name":14,"slug":15,"type":16},"Research","research","tag",{"name":18,"slug":19,"type":16},"Forecasting","forecasting",{"name":21,"slug":22,"type":16},"Legal","legal",8721,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fclaude-for-legal","2026-05-14T06:00:57.838818",null,1642,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":31},[],"A suite of plugins for legal workflows","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fclaude-for-legal\u002Ftree\u002FHEAD\u002Flaw-student\u002Fskills\u002Fexam-forecast","---\nname: exam-forecast\ndescription: >\n  Analyze past exams from the same professor to surface patterns — subject\n  weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine\n  mix — and forecast likely emphases for the upcoming exam. Use when the user\n  says \"what's on the exam\", \"analyze past exams\", \"predict the exam\", or\n  shares past exams.\nargument-hint: \"[class name, with past exams shared or paths to them]\"\n---\n\n# \u002Fexam-forecast\n\n1. Load `~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Flaw-student\u002FCLAUDE.md` → class, professor, exam format, syllabus.\n2. Apply the workflow below.\n3. Intake past exams (PDF, paste, or paths). Confirm sample size.\n4. Analyze each past exam: format, subject coverage, question style, fact-pattern density, recurring traps.\n5. Cross-exam pattern analysis — what's stable, what varies.\n6. Combine with current syllabus to produce forecast: subject weights, format, hobby horses, study emphasis.\n7. Write `~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Flaw-student\u002Fexam-forecasts\u002F[class]\u002Fforecast-[YYYY-MM-DD].md`. Framed as weighting heuristic, not prediction.\n\n---\n\n## Purpose\n\nEvery professor's exam has fingerprints. The same hypo structures recur. The same traps come back. The same subject ratios repeat. Students who have prior exams study smarter; students who don't, study harder. This skill analyzes the prior exams you have and surfaces the patterns.\n\nNot magic. A forecast, not a prediction. The skill cannot tell you what's on the exam — it can tell you what's been on past exams and what's likely to recur based on syllabus coverage.\n\n## Confidence discipline\n\n- Pattern analysis (what subjects appeared, how many questions per topic, how often policy vs. rule-application) — confident where the exams are clearly in front of me.\n- Inference about likely emphasis on upcoming exam — `[UNCERTAIN]` is the default; these are forecasts, not certainties. Explicitly frame as \"based on the [N] past exams you shared, [topic] appeared in [M]. Your upcoming exam may emphasize it, or the professor may rotate — use this as a weighting for review time, not a prediction.\"\n- If only 1-2 past exams are available, say so explicitly — any pattern inferred from 1 exam is noise.\n- If the professor is new (no past exams available), skill can't forecast. Say so; fall back to syllabus-based \"these are the subjects covered\" only.\n\n## Load context\n\n- `~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Flaw-student\u002FCLAUDE.md` → current classes, exam formats, syllabus if captured\n- User-provided past exams (PDF, pasted text, paths)\n- Optional: syllabus for the current class (for \"what's been covered to date\")\n\n**If the uploaded past exams have a professor's name, use it to match patterns** (same-professor exams are the highest-signal input). **If not, match on subject and structure.** Don't ask the user to type in the professor's name — use what's in the materials. If the user volunteers it in conversation that's fine; don't prompt for it.\n\n## Workflow\n\n### Step 1: Intake\n\n- Which class are we forecasting for?\n- How many past exams from this professor are available?\n- Are they from the same course, or different courses by the same professor?\n- Are any of them the take-home \u002F open-book \u002F different-format variants, vs. the typical format for your upcoming exam?\n- Syllabus for your current class?\n\nIf fewer than 3 past exams: flag as thin sample. Pattern inference is weaker.\nIf exams are across different courses: some patterns transfer (question style, policy vs. doctrine ratio); subject-specific patterns don't.\n\n### Step 2: Read each past exam\n\nFor each past exam:\n\n- Format (number of questions, length, time limit, open\u002Fclosed book)\n- Subject coverage (which topics tested, in what proportion)\n- Question style (issue-spotter, single-issue deep, policy essay, short-answer MBE-style, mix)\n- Fact pattern density (fact-heavy hypos, sparse facts with doctrinal focus, or policy prompts with no facts)\n- Recurring traps (e.g., professor always hides the jurisdictional issue in an otherwise-clean fact pattern; professor always asks about the exception rather than the rule)\n- Policy vs. doctrine ratio\n- Unusual structures (essays + MBE hybrid, moot court scenario, etc.)\n\n### Step 3: Cross-exam pattern analysis\n\nRoll up what's consistent across exams:\n\n**Stable patterns (appeared in most\u002Fall past exams):**\n- Subject weights (e.g., \"consideration and modification account for 30% of exam points consistently\")\n- Question style (e.g., \"always one long issue-spotter + two short-answer hypos\")\n- Professor hobby horses (e.g., \"always tests third-party beneficiaries even when it's a minor topic in class\")\n\n**Variable patterns (appeared in some but not all):**\n- Policy essays (e.g., \"appeared in 2 of 4 past exams — usually when the semester covered a policy-heavy topic late\")\n- Open-book vs. closed-book differences\n- Take-home vs. in-class differences\n\n**Absent patterns worth noting:**\n- Topics covered in class that have NEVER been tested in past exams — don't skip these, but don't weight them heavily either\n- Topics tested in past exams that aren't in your current syllabus — probably not coming back\n\n### Step 4: Forecast for the upcoming exam\n\n**Header — required, first line of the forecast, both in-chat and in the saved file.** Per plugin config `## Outputs`, every study output carries the verbatim study-notes header. The forecast is a study output. Do not omit, rephrase, or relocate the header. The header is not a disclaimer the student can ask to drop; it is the output's identity and prevents the forecast from being mistaken for a predicted exam or for legal advice:\n\n```\nSTUDY NOTES — NOT LEGAL ADVICE\n```\n\nCombine pattern analysis with current syllabus:\n\n```markdown\nSTUDY NOTES — NOT LEGAL ADVICE\n\n# Exam Forecast — [class \u002F professor] — [date]\n\n**Past exams analyzed:** [N]\n**Sample confidence:** [thin (\u003C3) \u002F moderate (3-5) \u002F strong (6+)]\n**Caveats:** [e.g., \"one of the past exams was an open-book final; your upcoming is closed-book. Pattern transfer is partial.\"]\n\n---\n\n## Subject weighting (historical)\n\n| Topic | Past exam weight (avg) | In current syllabus? | Forecast weight |\n|---|---|---|---|\n| [topic 1] | [%] | [yes\u002Fpartial\u002Fno] | [heavier \u002F stable \u002F lighter] |\n\n## Question-style forecast\n\n- **Format likely:** [X issue-spotters + Y short answers + Z policy, or similar]\n- **Fact-pattern density:** [fact-heavy \u002F sparse \u002F mixed]\n- **Call style:** [one broad call \u002F multiple specific calls \u002F bullet sub-parts]\n\n## Professor hobby horses to watch\n\n- [topic A] — appeared in [M of N] past exams. Weighted 3-5x its syllabus share.\n- [topic B] — [pattern]\n- [trap pattern] — e.g., \"hides jurisdictional issue in otherwise-clean facts\"\n\n## Topics covered this semester but rarely tested\n\n[list — don't skip, but don't over-weight]\n\n## Study emphasis recommendation\n\nBased on past exam patterns AND current syllabus coverage:\n\n**Heavy:** [topics likely to anchor the exam — 40-50% of study time]\n**Moderate:** [supporting topics — 30-40%]\n**Sanity check:** [topics covered but historically under-represented — 10-20%, just in case]\n\n## [UNCERTAIN — framing]\n\nThis forecast is derived from [N] past exams. Professors vary. Professors rotate. Topics that were emphasized in past years can be de-emphasized when the syllabus shifts. Treat this as a weighting heuristic for study time, not a prediction. The exam will include surprises.\n```\n\n### Step 5: Output location\n\nWrite to `~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Flaw-student\u002Fexam-forecasts\u002F[class]\u002Fforecast-[YYYY-MM-DD].md`. Versioned — if the student gets another past exam mid-semester, re-run and append.\n\n## Integration\n\n- **outline-builder:** forecast weights feed into outline depth decisions — weight depth on heavy topics\n- **flashcards:** forecast-heavy topics get more cards generated\n- **bar-prep-questions:** irrelevant for bar prep (that has its own forecast model); exam-forecast is for class-specific finals\n- **irac-practice:** use forecast topics as the subject areas for IRAC practice hypos\n\n## Close with the next-steps decision tree\n\nEnd with the next-steps decision tree per CLAUDE.md `## Outputs`. Customize the options to what this skill just produced — the five default branches (draft the X, escalate, get more facts, watch and wait, something else) are a starting point, not a lock-in. The tree is the output; the lawyer picks.\n\n## What this skill does not do\n\n- **Predict specific questions.** Past exams show patterns; they don't show you tomorrow's prompt.\n- **Work without past exams.** If you don't have prior exams from this professor, the skill can't forecast — it falls back to \"here's what the syllabus covers, study that.\"\n- **Replace studying everything on the syllabus.** Forecast is weighting, not elimination. Skipping a topic because it's historically under-represented is how students get burned.\n- **Account for changes you don't know about.** If the professor has shifted focus this year (e.g., emphasized a new case in class lectures), the skill doesn't see that unless you tell it.\n- **Work reliably with 1-2 past exams.** Thin sample. Flag as such.\n",{"data":35,"body":37},{"name":4,"description":6,"argument-hint":36},"[class name, with past exams shared or paths to them]",{"type":38,"children":39},"root",[40,48,105,109,116,122,127,133,187,193,216,234,240,247,275,280,286,291,329,335,340,348,366,374,392,400,413,419,437,449,454,1159,1165,1177,1183,1226,1232,1244,1250,1303],{"type":41,"tag":42,"props":43,"children":44},"element","h1",{"id":4},[45],{"type":46,"value":47},"text","\u002Fexam-forecast",{"type":41,"tag":49,"props":50,"children":51},"ol",{},[52,67,72,77,82,87,92],{"type":41,"tag":53,"props":54,"children":55},"li",{},[56,58,65],{"type":46,"value":57},"Load ",{"type":41,"tag":59,"props":60,"children":62},"code",{"className":61},[],[63],{"type":46,"value":64},"~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Flaw-student\u002FCLAUDE.md",{"type":46,"value":66}," → class, professor, exam format, syllabus.",{"type":41,"tag":53,"props":68,"children":69},{},[70],{"type":46,"value":71},"Apply the workflow below.",{"type":41,"tag":53,"props":73,"children":74},{},[75],{"type":46,"value":76},"Intake past exams (PDF, paste, or paths). Confirm sample size.",{"type":41,"tag":53,"props":78,"children":79},{},[80],{"type":46,"value":81},"Analyze each past exam: format, subject coverage, question style, fact-pattern density, recurring traps.",{"type":41,"tag":53,"props":83,"children":84},{},[85],{"type":46,"value":86},"Cross-exam pattern analysis — what's stable, what varies.",{"type":41,"tag":53,"props":88,"children":89},{},[90],{"type":46,"value":91},"Combine with current syllabus to produce forecast: subject weights, format, hobby horses, study emphasis.",{"type":41,"tag":53,"props":93,"children":94},{},[95,97,103],{"type":46,"value":96},"Write ",{"type":41,"tag":59,"props":98,"children":100},{"className":99},[],[101],{"type":46,"value":102},"~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Flaw-student\u002Fexam-forecasts\u002F[class]\u002Fforecast-[YYYY-MM-DD].md",{"type":46,"value":104},". Framed as weighting heuristic, not prediction.",{"type":41,"tag":106,"props":107,"children":108},"hr",{},[],{"type":41,"tag":110,"props":111,"children":113},"h2",{"id":112},"purpose",[114],{"type":46,"value":115},"Purpose",{"type":41,"tag":117,"props":118,"children":119},"p",{},[120],{"type":46,"value":121},"Every professor's exam has fingerprints. The same hypo structures recur. The same traps come back. The same subject ratios repeat. Students who have prior exams study smarter; students who don't, study harder. This skill analyzes the prior exams you have and surfaces the patterns.",{"type":41,"tag":117,"props":123,"children":124},{},[125],{"type":46,"value":126},"Not magic. A forecast, not a prediction. The skill cannot tell you what's on the exam — it can tell you what's been on past exams and what's likely to recur based on syllabus coverage.",{"type":41,"tag":110,"props":128,"children":130},{"id":129},"confidence-discipline",[131],{"type":46,"value":132},"Confidence discipline",{"type":41,"tag":134,"props":135,"children":136},"ul",{},[137,142,177,182],{"type":41,"tag":53,"props":138,"children":139},{},[140],{"type":46,"value":141},"Pattern analysis (what subjects appeared, how many questions per topic, how often policy vs. rule-application) — confident where the exams are clearly in front of me.",{"type":41,"tag":53,"props":143,"children":144},{},[145,147,153,155,161,163,168,170,175],{"type":46,"value":146},"Inference about likely emphasis on upcoming exam — ",{"type":41,"tag":59,"props":148,"children":150},{"className":149},[],[151],{"type":46,"value":152},"[UNCERTAIN]",{"type":46,"value":154}," is the default; these are forecasts, not certainties. Explicitly frame as \"based on the ",{"type":41,"tag":156,"props":157,"children":158},"span",{},[159],{"type":46,"value":160},"N",{"type":46,"value":162}," past exams you shared, ",{"type":41,"tag":156,"props":164,"children":165},{},[166],{"type":46,"value":167},"topic",{"type":46,"value":169}," appeared in ",{"type":41,"tag":156,"props":171,"children":172},{},[173],{"type":46,"value":174},"M",{"type":46,"value":176},". Your upcoming exam may emphasize it, or the professor may rotate — use this as a weighting for review time, not a prediction.\"",{"type":41,"tag":53,"props":178,"children":179},{},[180],{"type":46,"value":181},"If only 1-2 past exams are available, say so explicitly — any pattern inferred from 1 exam is noise.",{"type":41,"tag":53,"props":183,"children":184},{},[185],{"type":46,"value":186},"If the professor is new (no past exams available), skill can't forecast. Say so; fall back to syllabus-based \"these are the subjects covered\" only.",{"type":41,"tag":110,"props":188,"children":190},{"id":189},"load-context",[191],{"type":46,"value":192},"Load context",{"type":41,"tag":134,"props":194,"children":195},{},[196,206,211],{"type":41,"tag":53,"props":197,"children":198},{},[199,204],{"type":41,"tag":59,"props":200,"children":202},{"className":201},[],[203],{"type":46,"value":64},{"type":46,"value":205}," → current classes, exam formats, syllabus if captured",{"type":41,"tag":53,"props":207,"children":208},{},[209],{"type":46,"value":210},"User-provided past exams (PDF, pasted text, paths)",{"type":41,"tag":53,"props":212,"children":213},{},[214],{"type":46,"value":215},"Optional: syllabus for the current class (for \"what's been covered to date\")",{"type":41,"tag":117,"props":217,"children":218},{},[219,225,227,232],{"type":41,"tag":220,"props":221,"children":222},"strong",{},[223],{"type":46,"value":224},"If the uploaded past exams have a professor's name, use it to match patterns",{"type":46,"value":226}," (same-professor exams are the highest-signal input). ",{"type":41,"tag":220,"props":228,"children":229},{},[230],{"type":46,"value":231},"If not, match on subject and structure.",{"type":46,"value":233}," Don't ask the user to type in the professor's name — use what's in the materials. If the user volunteers it in conversation that's fine; don't prompt for it.",{"type":41,"tag":110,"props":235,"children":237},{"id":236},"workflow",[238],{"type":46,"value":239},"Workflow",{"type":41,"tag":241,"props":242,"children":244},"h3",{"id":243},"step-1-intake",[245],{"type":46,"value":246},"Step 1: Intake",{"type":41,"tag":134,"props":248,"children":249},{},[250,255,260,265,270],{"type":41,"tag":53,"props":251,"children":252},{},[253],{"type":46,"value":254},"Which class are we forecasting for?",{"type":41,"tag":53,"props":256,"children":257},{},[258],{"type":46,"value":259},"How many past exams from this professor are available?",{"type":41,"tag":53,"props":261,"children":262},{},[263],{"type":46,"value":264},"Are they from the same course, or different courses by the same professor?",{"type":41,"tag":53,"props":266,"children":267},{},[268],{"type":46,"value":269},"Are any of them the take-home \u002F open-book \u002F different-format variants, vs. the typical format for your upcoming exam?",{"type":41,"tag":53,"props":271,"children":272},{},[273],{"type":46,"value":274},"Syllabus for your current class?",{"type":41,"tag":117,"props":276,"children":277},{},[278],{"type":46,"value":279},"If fewer than 3 past exams: flag as thin sample. Pattern inference is weaker.\nIf exams are across different courses: some patterns transfer (question style, policy vs. doctrine ratio); subject-specific patterns don't.",{"type":41,"tag":241,"props":281,"children":283},{"id":282},"step-2-read-each-past-exam",[284],{"type":46,"value":285},"Step 2: Read each past exam",{"type":41,"tag":117,"props":287,"children":288},{},[289],{"type":46,"value":290},"For each past exam:",{"type":41,"tag":134,"props":292,"children":293},{},[294,299,304,309,314,319,324],{"type":41,"tag":53,"props":295,"children":296},{},[297],{"type":46,"value":298},"Format (number of questions, length, time limit, open\u002Fclosed book)",{"type":41,"tag":53,"props":300,"children":301},{},[302],{"type":46,"value":303},"Subject coverage (which topics tested, in what proportion)",{"type":41,"tag":53,"props":305,"children":306},{},[307],{"type":46,"value":308},"Question style (issue-spotter, single-issue deep, policy essay, short-answer MBE-style, mix)",{"type":41,"tag":53,"props":310,"children":311},{},[312],{"type":46,"value":313},"Fact pattern density (fact-heavy hypos, sparse facts with doctrinal focus, or policy prompts with no facts)",{"type":41,"tag":53,"props":315,"children":316},{},[317],{"type":46,"value":318},"Recurring traps (e.g., professor always hides the jurisdictional issue in an otherwise-clean fact pattern; professor always asks about the exception rather than the rule)",{"type":41,"tag":53,"props":320,"children":321},{},[322],{"type":46,"value":323},"Policy vs. doctrine ratio",{"type":41,"tag":53,"props":325,"children":326},{},[327],{"type":46,"value":328},"Unusual structures (essays + MBE hybrid, moot court scenario, etc.)",{"type":41,"tag":241,"props":330,"children":332},{"id":331},"step-3-cross-exam-pattern-analysis",[333],{"type":46,"value":334},"Step 3: Cross-exam pattern analysis",{"type":41,"tag":117,"props":336,"children":337},{},[338],{"type":46,"value":339},"Roll up what's consistent across exams:",{"type":41,"tag":117,"props":341,"children":342},{},[343],{"type":41,"tag":220,"props":344,"children":345},{},[346],{"type":46,"value":347},"Stable patterns (appeared in most\u002Fall past exams):",{"type":41,"tag":134,"props":349,"children":350},{},[351,356,361],{"type":41,"tag":53,"props":352,"children":353},{},[354],{"type":46,"value":355},"Subject weights (e.g., \"consideration and modification account for 30% of exam points consistently\")",{"type":41,"tag":53,"props":357,"children":358},{},[359],{"type":46,"value":360},"Question style (e.g., \"always one long issue-spotter + two short-answer hypos\")",{"type":41,"tag":53,"props":362,"children":363},{},[364],{"type":46,"value":365},"Professor hobby horses (e.g., \"always tests third-party beneficiaries even when it's a minor topic in class\")",{"type":41,"tag":117,"props":367,"children":368},{},[369],{"type":41,"tag":220,"props":370,"children":371},{},[372],{"type":46,"value":373},"Variable patterns (appeared in some but not all):",{"type":41,"tag":134,"props":375,"children":376},{},[377,382,387],{"type":41,"tag":53,"props":378,"children":379},{},[380],{"type":46,"value":381},"Policy essays (e.g., \"appeared in 2 of 4 past exams — usually when the semester covered a policy-heavy topic late\")",{"type":41,"tag":53,"props":383,"children":384},{},[385],{"type":46,"value":386},"Open-book vs. closed-book differences",{"type":41,"tag":53,"props":388,"children":389},{},[390],{"type":46,"value":391},"Take-home vs. in-class differences",{"type":41,"tag":117,"props":393,"children":394},{},[395],{"type":41,"tag":220,"props":396,"children":397},{},[398],{"type":46,"value":399},"Absent patterns worth noting:",{"type":41,"tag":134,"props":401,"children":402},{},[403,408],{"type":41,"tag":53,"props":404,"children":405},{},[406],{"type":46,"value":407},"Topics covered in class that have NEVER been tested in past exams — don't skip these, but don't weight them heavily either",{"type":41,"tag":53,"props":409,"children":410},{},[411],{"type":46,"value":412},"Topics tested in past exams that aren't in your current syllabus — probably not coming back",{"type":41,"tag":241,"props":414,"children":416},{"id":415},"step-4-forecast-for-the-upcoming-exam",[417],{"type":46,"value":418},"Step 4: Forecast for the upcoming exam",{"type":41,"tag":117,"props":420,"children":421},{},[422,427,429,435],{"type":41,"tag":220,"props":423,"children":424},{},[425],{"type":46,"value":426},"Header — required, first line of the forecast, both in-chat and in the saved file.",{"type":46,"value":428}," Per plugin config ",{"type":41,"tag":59,"props":430,"children":432},{"className":431},[],[433],{"type":46,"value":434},"## Outputs",{"type":46,"value":436},", every study output carries the verbatim study-notes header. The forecast is a study output. Do not omit, rephrase, or relocate the header. The header is not a disclaimer the student can ask to drop; it is the output's identity and prevents the forecast from being mistaken for a predicted exam or for legal advice:",{"type":41,"tag":438,"props":439,"children":443},"pre",{"className":440,"code":442,"language":46},[441],"language-text","STUDY NOTES — NOT LEGAL ADVICE\n",[444],{"type":41,"tag":59,"props":445,"children":447},{"__ignoreMap":446},"",[448],{"type":46,"value":442},{"type":41,"tag":117,"props":450,"children":451},{},[452],{"type":46,"value":453},"Combine pattern analysis with current syllabus:",{"type":41,"tag":438,"props":455,"children":459},{"className":456,"code":457,"language":458,"meta":446,"style":446},"language-markdown shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","STUDY NOTES — NOT LEGAL ADVICE\n\n# Exam Forecast — [class \u002F professor] — [date]\n\n**Past exams analyzed:** [N]\n**Sample confidence:** [thin (\u003C3) \u002F moderate (3-5) \u002F strong (6+)]\n**Caveats:** [e.g., \"one of the past exams was an open-book final; your upcoming is closed-book. Pattern transfer is partial.\"]\n\n---\n\n## Subject weighting (historical)\n\n| Topic | Past exam weight (avg) | In current syllabus? | Forecast weight |\n|---|---|---|---|\n| [topic 1] | [%] | [yes\u002Fpartial\u002Fno] | [heavier \u002F stable \u002F lighter] |\n\n## Question-style forecast\n\n- **Format likely:** [X issue-spotters + Y short answers + Z policy, or similar]\n- **Fact-pattern density:** [fact-heavy \u002F sparse \u002F mixed]\n- **Call style:** [one broad call \u002F multiple specific calls \u002F bullet sub-parts]\n\n## Professor hobby horses to watch\n\n- [topic A] — appeared in [M of N] past exams. Weighted 3-5x its syllabus share.\n- [topic B] — [pattern]\n- [trap pattern] — e.g., \"hides jurisdictional issue in otherwise-clean facts\"\n\n## Topics covered this semester but rarely tested\n\n[list — don't skip, but don't over-weight]\n\n## Study emphasis recommendation\n\nBased on past exam patterns AND current syllabus coverage:\n\n**Heavy:** [topics likely to anchor the exam — 40-50% of study time]\n**Moderate:** [supporting topics — 30-40%]\n**Sanity check:** [topics covered but historically under-represented — 10-20%, just in case]\n\n## [UNCERTAIN — framing]\n\nThis forecast is derived from [N] past exams. Professors vary. Professors rotate. Topics that were emphasized in past years can be de-emphasized when the syllabus shifts. Treat this as a weighting heuristic for study time, not a prediction. 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Versioned — if the student gets another past exam mid-semester, re-run and append.",{"type":41,"tag":110,"props":1178,"children":1180},{"id":1179},"integration",[1181],{"type":46,"value":1182},"Integration",{"type":41,"tag":134,"props":1184,"children":1185},{},[1186,1196,1206,1216],{"type":41,"tag":53,"props":1187,"children":1188},{},[1189,1194],{"type":41,"tag":220,"props":1190,"children":1191},{},[1192],{"type":46,"value":1193},"outline-builder:",{"type":46,"value":1195}," forecast weights feed into outline depth decisions — weight depth on heavy topics",{"type":41,"tag":53,"props":1197,"children":1198},{},[1199,1204],{"type":41,"tag":220,"props":1200,"children":1201},{},[1202],{"type":46,"value":1203},"flashcards:",{"type":46,"value":1205}," forecast-heavy topics get more cards generated",{"type":41,"tag":53,"props":1207,"children":1208},{},[1209,1214],{"type":41,"tag":220,"props":1210,"children":1211},{},[1212],{"type":46,"value":1213},"bar-prep-questions:",{"type":46,"value":1215}," irrelevant for bar prep (that has its own forecast model); exam-forecast is for class-specific finals",{"type":41,"tag":53,"props":1217,"children":1218},{},[1219,1224],{"type":41,"tag":220,"props":1220,"children":1221},{},[1222],{"type":46,"value":1223},"irac-practice:",{"type":46,"value":1225}," use forecast topics as the subject areas for IRAC practice hypos",{"type":41,"tag":110,"props":1227,"children":1229},{"id":1228},"close-with-the-next-steps-decision-tree",[1230],{"type":46,"value":1231},"Close with the next-steps decision tree",{"type":41,"tag":117,"props":1233,"children":1234},{},[1235,1237,1242],{"type":46,"value":1236},"End with the next-steps decision tree per CLAUDE.md ",{"type":41,"tag":59,"props":1238,"children":1240},{"className":1239},[],[1241],{"type":46,"value":434},{"type":46,"value":1243},". Customize the options to what this skill just produced — the five default branches (draft the X, escalate, get more facts, watch and wait, something else) are a starting point, not a lock-in. The tree is the output; the lawyer picks.",{"type":41,"tag":110,"props":1245,"children":1247},{"id":1246},"what-this-skill-does-not-do",[1248],{"type":46,"value":1249},"What this skill does not do",{"type":41,"tag":134,"props":1251,"children":1252},{},[1253,1263,1273,1283,1293],{"type":41,"tag":53,"props":1254,"children":1255},{},[1256,1261],{"type":41,"tag":220,"props":1257,"children":1258},{},[1259],{"type":46,"value":1260},"Predict specific questions.",{"type":46,"value":1262}," Past exams show patterns; they don't show you tomorrow's prompt.",{"type":41,"tag":53,"props":1264,"children":1265},{},[1266,1271],{"type":41,"tag":220,"props":1267,"children":1268},{},[1269],{"type":46,"value":1270},"Work without past exams.",{"type":46,"value":1272}," If you don't have prior exams from this professor, the skill can't forecast — it falls back to \"here's what the syllabus covers, study that.\"",{"type":41,"tag":53,"props":1274,"children":1275},{},[1276,1281],{"type":41,"tag":220,"props":1277,"children":1278},{},[1279],{"type":46,"value":1280},"Replace studying everything on the syllabus.",{"type":46,"value":1282}," Forecast is weighting, not elimination. Skipping a topic because it's historically under-represented is how students get burned.",{"type":41,"tag":53,"props":1284,"children":1285},{},[1286,1291],{"type":41,"tag":220,"props":1287,"children":1288},{},[1289],{"type":46,"value":1290},"Account for changes you don't know about.",{"type":46,"value":1292}," If the professor has shifted focus this year (e.g., emphasized a new case in class lectures), the skill doesn't see that unless you tell it.",{"type":41,"tag":53,"props":1294,"children":1295},{},[1296,1301],{"type":41,"tag":220,"props":1297,"children":1298},{},[1299],{"type":46,"value":1300},"Work reliably with 1-2 past exams.",{"type":46,"value":1302}," Thin sample. Flag as such.",{"type":41,"tag":1304,"props":1305,"children":1306},"style",{},[1307],{"type":46,"value":1308},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":1310,"total":1408},[1311,1325,1342,1359,1371,1382,1393],{"slug":1312,"name":1312,"fn":1313,"description":1314,"org":1315,"tags":1316,"stars":23,"repoUrl":24,"updatedAt":1324},"ai-inventory","track AI systems for EU AI Act","EU AI Act per-system inventory — track each AI system's role (provider, deployer, importer, distributor, authorized representative, product manufacturer) and risk tier (prohibited, high-risk, limited, minimal, GPAI, GPAI+systemic). Role and tier are assessed per system, not per company. Use when the user says \"ai inventory\", \"add an ai system\", \"what systems do we have\", \"classify this ai system\", \"eu ai act register\", or \"ai system registry\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1317,1320,1323],{"name":1318,"slug":1319,"type":16},"Compliance","compliance",{"name":1321,"slug":1322,"type":16},"Governance","governance",{"name":21,"slug":22,"type":16},"2026-05-14T06:02:19.677579",{"slug":1326,"name":1326,"fn":1327,"description":1328,"org":1329,"tags":1330,"stars":23,"repoUrl":24,"updatedAt":1341},"ai-tool-handoff","manage handoff to bulk legal review tools","Detects when Luminance, Kira, or a similar bulk-review tool is in use, hands off the high-volume clause extraction to it, and QAs its output per the trust level in `~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Fcorporate-legal\u002FCLAUDE.md`. Use when user says \"send to Luminance\", \"bulk review\", \"AI extraction\", or when diligence-issue-extraction hits a high-volume category.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1331,1334,1337,1338],{"name":1332,"slug":1333,"type":16},"Automation","automation",{"name":1335,"slug":1336,"type":16},"Contracts","contracts",{"name":21,"slug":22,"type":16},{"name":1339,"slug":1340,"type":16},"QA","qa","2026-05-14T06:01:31.00555",{"slug":1343,"name":1343,"fn":1344,"description":1345,"org":1346,"tags":1347,"stars":23,"repoUrl":24,"updatedAt":1358},"aia-generation","run AI impact assessments","Run an AI impact assessment — structured intake, risk analysis, regulatory classification per regime in scope, policy consistency diff, and recommendation with conditions. Uses the house-style structure learned from the seed impact assessment in `~\u002F.claude\u002Fplugins\u002Fconfig\u002Fclaude-for-legal\u002Fai-governance-legal\u002FCLAUDE.md`. Use when user says \"impact assessment for\", \"assess this AI use case\", \"run an AIA\", \"generate an AIA\", \"we need to document this AI system\", \"AI risk assessment for X\", or follows a conditional triage result.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1348,1349,1352,1355],{"name":21,"slug":22,"type":16},{"name":1350,"slug":1351,"type":16},"Policy","policy",{"name":1353,"slug":1354,"type":16},"Regulatory Compliance","regulatory-compliance",{"name":1356,"slug":1357,"type":16},"Risk Assessment","risk-assessment","2026-05-13T06:03:19.61029",{"slug":1360,"name":1360,"fn":1361,"description":1362,"org":1363,"tags":1364,"stars":23,"repoUrl":24,"updatedAt":1370},"amendment-history","trace contract amendment history","Trace how a contract has changed across its base agreement and all amendments — either a summary of all changes over time, or a provision trace for a specific clause. Use when the user says \"what changed in this contract over time\", \"show me the amendment history\", \"where's the latest [clause]\", \"how has [provision] evolved\", or uploads multiple versions of an agreement.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1365,1366,1369],{"name":1335,"slug":1336,"type":16},{"name":1367,"slug":1368,"type":16},"Documents","documents",{"name":21,"slug":22,"type":16},"2026-05-13T06:03:34.070339",{"slug":1372,"name":1372,"fn":1373,"description":1374,"org":1375,"tags":1376,"stars":23,"repoUrl":24,"updatedAt":1381},"auto-updater","check for community skill updates","Check installed community skills for updates. Shows a diff and requires explicit approval before applying. Use when the user says \"check for updates\", \"update my skills\", \"anything new for my installed skills\", or when invoked from the registry-sync agent.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1377,1378],{"name":1332,"slug":1333,"type":16},{"name":1379,"slug":1380,"type":16},"Plugin Development","plugin-development","2026-05-13T06:02:55.642269",{"slug":1383,"name":1383,"fn":1384,"description":1385,"org":1386,"tags":1387,"stars":23,"repoUrl":24,"updatedAt":1392},"bar-prep-questions","provide bar exam practice questions","Bar prep questions — MBE or essay, targeted at your weak subjects and bar jurisdiction. Tracks misses and comes back to patterns. Use when the user says \"bar prep\", \"MBE questions\", \"practice essay\", or \"test me for the bar\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1388,1391],{"name":1389,"slug":1390,"type":16},"Education","education",{"name":21,"slug":22,"type":16},"2026-07-24T05:41:43.01243",{"slug":1394,"name":1394,"fn":1395,"description":1396,"org":1397,"tags":1398,"stars":23,"repoUrl":24,"updatedAt":1407},"board-minutes","draft board and committee meeting minutes","Drafts board or committee meeting minutes in your house format. Auto-detects upcoming board and committee meetings from your calendar, asks for the agenda and any slides or pre-read materials, and produces a complete draft in the format learned from your seed minutes. Also handles written consents in lieu of meetings. Trigger: \"board minutes\", \"draft minutes\", \"upcoming board meeting\", \"committee minutes\", \"written consent\", or calendar detection of an upcoming board or committee event.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1399,1402,1403,1404],{"name":1400,"slug":1401,"type":16},"Documentation","documentation",{"name":1321,"slug":1322,"type":16},{"name":21,"slug":22,"type":16},{"name":1405,"slug":1406,"type":16},"Meetings","meetings","2026-05-14T06:01:29.792942",118,{"items":1410,"total":1593},[1411,1432,1446,1458,1477,1488,1507,1527,1541,1556,1564,1577],{"slug":1412,"name":1412,"fn":1413,"description":1414,"org":1415,"tags":1416,"stars":1429,"repoUrl":1430,"updatedAt":1431},"algorithmic-art","create algorithmic art with p5.js","Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1417,1420,1423,1426],{"name":1418,"slug":1419,"type":16},"Creative","creative",{"name":1421,"slug":1422,"type":16},"Design","design",{"name":1424,"slug":1425,"type":16},"Generative Art","generative-art",{"name":1427,"slug":1428,"type":16},"JavaScript","javascript",161831,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fskills","2026-04-06T17:56:15.455818",{"slug":1433,"name":1433,"fn":1434,"description":1435,"org":1436,"tags":1437,"stars":1429,"repoUrl":1430,"updatedAt":1445},"brand-guidelines","apply Anthropic brand colors and typography","Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1438,1441,1442],{"name":1439,"slug":1440,"type":16},"Branding","branding",{"name":1421,"slug":1422,"type":16},{"name":1443,"slug":1444,"type":16},"Typography","typography","2026-04-06T17:56:05.042852",{"slug":1447,"name":1447,"fn":1448,"description":1449,"org":1450,"tags":1451,"stars":1429,"repoUrl":1430,"updatedAt":1457},"canvas-design","create posters and visual art as PNG or PDF","Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1452,1453,1454],{"name":1418,"slug":1419,"type":16},{"name":1421,"slug":1422,"type":16},{"name":1455,"slug":1456,"type":16},"PDF","pdf","2026-04-06T17:56:03.794732",{"slug":1459,"name":1459,"fn":1460,"description":1461,"org":1462,"tags":1463,"stars":1429,"repoUrl":1430,"updatedAt":1476},"claude-api","build apps with the Claude API","Reference for the Claude API \u002F Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude\u002FAnthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing\u002Fmodel choice\u002Flimits\u002Fcaching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent\u002FMCP\u002Ftool-definition\u002Fmulti-agent\u002FRAG\u002FLLM-judge\u002Fcomputer-use; generate\u002Fsummarize\u002Fextract\u002Fclassify\u002Frewrite\u002Fconverse over NL; debugging refusals\u002Fcutoffs\u002Fstreaming\u002Ftool-calls\u002Ftokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI\u002FGPT\u002FGemini\u002FLlama\u002FMistral\u002FCohere\u002FOllama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1464,1467,1468,1471,1473],{"name":1465,"slug":1466,"type":16},"Agents","agents",{"name":9,"slug":8,"type":16},{"name":1469,"slug":1470,"type":16},"Anthropic SDK","anthropic-sdk",{"name":1472,"slug":1459,"type":16},"Claude API",{"name":1474,"slug":1475,"type":16},"LLM","llm","2026-07-28T05:36:08.213335",{"slug":1478,"name":1478,"fn":1479,"description":1480,"org":1481,"tags":1482,"stars":1429,"repoUrl":1430,"updatedAt":1487},"doc-coauthoring","co-author documentation and technical specs","Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1483,1484],{"name":1400,"slug":1401,"type":16},{"name":1485,"slug":1486,"type":16},"Technical Writing","technical-writing","2026-04-06T17:56:14.18897",{"slug":1489,"name":1489,"fn":1490,"description":1491,"org":1492,"tags":1493,"stars":1429,"repoUrl":1430,"updatedAt":1506},"docx","create and edit Word documents","Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1494,1495,1497,1500,1503],{"name":1367,"slug":1368,"type":16},{"name":1496,"slug":1489,"type":16},"DOCX",{"name":1498,"slug":1499,"type":16},"Office","office",{"name":1501,"slug":1502,"type":16},"Templates","templates",{"name":1504,"slug":1505,"type":16},"Word","word","2026-07-18T05:16:23.136271",{"slug":1508,"name":1508,"fn":1509,"description":1510,"org":1511,"tags":1512,"stars":1429,"repoUrl":1430,"updatedAt":1526},"frontend-design","design production-grade frontend interfaces","Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1513,1514,1517,1520,1523],{"name":1421,"slug":1422,"type":16},{"name":1515,"slug":1516,"type":16},"Frontend","frontend",{"name":1518,"slug":1519,"type":16},"React","react",{"name":1521,"slug":1522,"type":16},"Tailwind CSS","tailwind-css",{"name":1524,"slug":1525,"type":16},"UI Components","ui-components","2026-04-06T17:56:16.723469",{"slug":1528,"name":1528,"fn":1529,"description":1530,"org":1531,"tags":1532,"stars":1429,"repoUrl":1430,"updatedAt":1540},"internal-comms","write internal company communications","A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1533,1536,1537],{"name":1534,"slug":1535,"type":16},"Communications","communications",{"name":1501,"slug":1502,"type":16},{"name":1538,"slug":1539,"type":16},"Writing","writing","2026-04-06T17:56:20.695522",{"slug":1542,"name":1542,"fn":1543,"description":1544,"org":1545,"tags":1546,"stars":1429,"repoUrl":1430,"updatedAt":1555},"mcp-builder","build MCP servers","Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node\u002FTypeScript (MCP SDK).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1547,1548,1551,1552],{"name":1465,"slug":1466,"type":16},{"name":1549,"slug":1550,"type":16},"API Development","api-development",{"name":1474,"slug":1475,"type":16},{"name":1553,"slug":1554,"type":16},"MCP","mcp","2026-04-06T17:56:10.357665",{"slug":1456,"name":1456,"fn":1557,"description":1558,"org":1559,"tags":1560,"stars":1429,"repoUrl":1430,"updatedAt":1563},"read edit and manipulate PDF files","Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text\u002Ftables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting\u002Fdecrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1561,1562],{"name":1367,"slug":1368,"type":16},{"name":1455,"slug":1456,"type":16},"2026-04-06T17:56:02.483316",{"slug":1565,"name":1565,"fn":1566,"description":1567,"org":1568,"tags":1569,"stars":1429,"repoUrl":1430,"updatedAt":1576},"pptx","create and edit PowerPoint presentations","Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1570,1573],{"name":1571,"slug":1572,"type":16},"PowerPoint","powerpoint",{"name":1574,"slug":1575,"type":16},"Presentations","presentations","2026-07-18T05:16:24.1471",{"slug":1578,"name":1578,"fn":1579,"description":1580,"org":1581,"tags":1582,"stars":1429,"repoUrl":1430,"updatedAt":1592},"skill-creator","create and optimize agent skills","Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1583,1584,1585,1588,1591],{"name":1465,"slug":1466,"type":16},{"name":1400,"slug":1401,"type":16},{"name":1586,"slug":1587,"type":16},"Evals","evals",{"name":1589,"slug":1590,"type":16},"Performance","performance",{"name":1485,"slug":1486,"type":16},"2026-04-19T06:45:40.804",490]