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Intended to be used with Letta Code, Claude Code, Codex CLI, and other agents that support skills.","https:\u002F\u002Fgithub.com\u002Fletta-ai\u002Fskills\u002Ftree\u002FHEAD\u002Ftools\u002Fsentry","---\nname: \"sentry\"\ndescription: \"Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`.\"\n---\n\n\n# Sentry (Read-only Observability)\n\n## Quick start\n\n- If not already authenticated, ask the user to provide a valid `SENTRY_AUTH_TOKEN` (read-only scopes such as `project:read`, `event:read`) or to log in and create one before running commands.\n- Set `SENTRY_AUTH_TOKEN` as an env var.\n- Optional defaults: `SENTRY_ORG`, `SENTRY_PROJECT`, `SENTRY_BASE_URL`.\n- Defaults: org\u002Fproject `{your-org}`\u002F`{your-project}`, time range `24h`, environment `prod`, limit 20 (max 50).\n- Always call the Sentry API (no heuristics, no caching).\n\nIf the token is missing, give the user these steps:\n1. Create a Sentry auth token: https:\u002F\u002Fsentry.io\u002Fsettings\u002Faccount\u002Fapi\u002Fauth-tokens\u002F\n2. Create a token with read-only scopes such as `project:read`, `event:read`, and `org:read`.\n3. Set `SENTRY_AUTH_TOKEN` as an environment variable in their system.\n4. Offer to guide them through setting the environment variable for their OS\u002Fshell if needed.\n- Never ask the user to paste the full token in chat. Ask them to set it locally and confirm when ready.\n\n## Core tasks (use bundled script)\n\nUse `scripts\u002Fsentry_api.py` for deterministic API calls. It handles pagination and retries once on transient errors.\n\n## Skill path (set once)\n\n```bash\n# Set to the directory containing this SKILL.md\nexport SENTRY_API=\"\u003Cpath-to-skill>\u002Fscripts\u002Fsentry_api.py\"\n```\n\nReplace `\u003Cpath-to-skill>` with the actual skill installation directory (e.g. `.skills\u002Fsentry` or `~\u002F.letta\u002Fskills\u002Fsentry`).\n\n### 1) List issues (ordered by most recent)\n\n```bash\npython3 \"$SENTRY_API\" \\\n  list-issues \\\n  --org {your-org} \\\n  --project {your-project} \\\n  --environment prod \\\n  --time-range 24h \\\n  --limit 20 \\\n  --query \"is:unresolved\"\n```\n\n### 2) Resolve an issue short ID to issue ID\n\n```bash\npython3 \"$SENTRY_API\" \\\n  list-issues \\\n  --org {your-org} \\\n  --project {your-project} \\\n  --query \"ABC-123\" \\\n  --limit 1\n```\n\nUse the returned `id` for issue detail or events.\n\n### 3) Issue detail\n\n```bash\npython3 \"$SENTRY_API\" \\\n  issue-detail \\\n  1234567890\n```\n\n### 4) Issue events\n\n```bash\npython3 \"$SENTRY_API\" \\\n  issue-events \\\n  1234567890 \\\n  --limit 20\n```\n\n### 5) Event detail (no stack traces by default)\n\n```bash\npython3 \"$SENTRY_API\" \\\n  event-detail \\\n  --org {your-org} \\\n  --project {your-project} \\\n  abcdef1234567890\n```\n\n## API requirements\n\nAlways use these endpoints (GET only):\n\n- List issues: `\u002Fapi\u002F0\u002Fprojects\u002F{org_slug}\u002F{project_slug}\u002Fissues\u002F`\n- Issue detail: `\u002Fapi\u002F0\u002Fissues\u002F{issue_id}\u002F`\n- Events for issue: `\u002Fapi\u002F0\u002Fissues\u002F{issue_id}\u002Fevents\u002F`\n- Event detail: `\u002Fapi\u002F0\u002Fprojects\u002F{org_slug}\u002F{project_slug}\u002Fevents\u002F{event_id}\u002F`\n\n## Inputs and defaults\n\n- `org_slug`, `project_slug`: default to `{your-org}`\u002F`{your-project}` (avoid non-prod orgs).\n- `time_range`: default `24h` (pass as `statsPeriod`).\n- `environment`: default `prod`.\n- `limit`: default 20, max 50 (paginate until limit reached).\n- `search_query`: optional `query` parameter.\n- `issue_short_id`: resolve via list-issues query first.\n\n## Output formatting rules\n\n- Issue list: show title, short_id, status, first_seen, last_seen, count, environments, top_tags; order by most recent.\n- Event detail: include culprit, timestamp, environment, release, url.\n- If no results, state explicitly.\n- Redact PII in output (emails, IPs). 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Use when asked to make a mod, add an agent-callable tool, add a slash command, add a local provider\u002Fmodel adapter, transform turns, react to app events, or add lightweight mod UI outside the dedicated \u002Fstatusline flow.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1294,1295,1296],{"name":1190,"slug":1191,"type":16},{"name":1154,"slug":1155,"type":16},{"name":1297,"slug":1298,"type":16},"Coding","coding","2026-07-23T05:42:38.133565",{"slug":1301,"name":1301,"fn":1302,"description":1303,"org":1304,"tags":1305,"stars":1260,"repoUrl":1261,"updatedAt":1313},"creating-skills","create and update agent skills","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1306,1307,1310],{"name":1190,"slug":1191,"type":16},{"name":1308,"slug":1309,"type":16},"Documentation","documentation",{"name":1311,"slug":1312,"type":16},"Plugin Development","plugin-development","2026-07-13T06:22:56.998659",{"slug":1315,"name":1315,"fn":1316,"description":1317,"org":1318,"tags":1319,"stars":1260,"repoUrl":1261,"updatedAt":1323},"customizing-commands","create and manage Letta slash commands","Creates, edits, and enables Letta Code mod-provided slash commands. Use when the user asks to add a custom \u002Fcommand, slash command, command shortcut, scoped conversation-backed command, or command-driven panel behavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1320,1321,1322],{"name":1190,"slug":1191,"type":16},{"name":1154,"slug":1155,"type":16},{"name":1141,"slug":1142,"type":16},"2026-07-13T06:23:18.266798",{"slug":1325,"name":1325,"fn":1326,"description":1327,"org":1328,"tags":1329,"stars":1260,"repoUrl":1261,"updatedAt":1334},"customizing-statusline","customize Letta Code statusline mods","Creates, edits, and migrates Letta Code statusline mods. Use when handling the \u002Fstatusline command or continuing work started by \u002Fstatusline.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1330,1331],{"name":1141,"slug":1142,"type":16},{"name":1332,"slug":1333,"type":16},"Engineering","engineering","2026-07-13T06:23:27.465985",{"slug":1336,"name":1336,"fn":1337,"description":1338,"org":1339,"tags":1340,"stars":1260,"repoUrl":1261,"updatedAt":1346},"dispatching-coding-agents","dispatch stateless coding agents","Dispatch stateless coding agents (Claude Code or Codex) via Bash. Use when you're stuck, need a second opinion, or need parallel research on a hard problem. They have no memory — you must provide all context.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1341,1342,1343],{"name":1190,"slug":1191,"type":16},{"name":1297,"slug":1298,"type":16},{"name":1344,"slug":1345,"type":16},"Multi-Agent","multi-agent","2026-07-26T05:46:56.388845",{"slug":1348,"name":1348,"fn":1349,"description":1350,"org":1351,"tags":1352,"stars":1260,"repoUrl":1261,"updatedAt":1362},"editing-letta-code-desktop-preferences","edit Letta Code Desktop preferences","Edits Letta Code Desktop (LCD) preferences by safely reading and updating ~\u002F.letta\u002Fdesktop_preferences.json. Use only when the user asks to change current Desktop\u002FLCD settings such as theme, default working directory, remote access preference, or remote environment name via the preferences JSON.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1353,1356,1359],{"name":1354,"slug":1355,"type":16},"Configuration","configuration",{"name":1357,"slug":1358,"type":16},"Desktop","desktop",{"name":1360,"slug":1361,"type":16},"Themes","themes","2026-07-13T06:23:41.407811",{"slug":1364,"name":1364,"fn":1365,"description":1366,"org":1367,"tags":1368,"stars":1260,"repoUrl":1261,"updatedAt":1373},"finding-agents","locate and manage agents on server","Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1369,1370],{"name":1190,"slug":1191,"type":16},{"name":1371,"slug":1372,"type":16},"Management","management","2026-07-16T06:02:17.297841",{"slug":1375,"name":1375,"fn":1376,"description":1377,"org":1378,"tags":1379,"stars":1260,"repoUrl":1261,"updatedAt":1385},"generating-mod-envs","generate Letta mod learning environments","Generates and reviews mod learning env JSON files for Letta Code local mods. Use when asked to teach, learn, or optimize a mod behavior; create, draft, validate, improve, or explain envs for `\u002Fmods learn --env`; or design evaluation scenarios, memory fixtures, requiredResultMarkers, requiredTraceMarkers, negative controls, and candidate diversity hints.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1380,1381,1384],{"name":1190,"slug":1191,"type":16},{"name":1382,"slug":1383,"type":16},"AI Infrastructure","ai-infrastructure",{"name":1354,"slug":1355,"type":16},"2026-07-13T06:23:08.838181",{"slug":1387,"name":1387,"fn":1388,"description":1389,"org":1390,"tags":1391,"stars":1260,"repoUrl":1261,"updatedAt":1400},"image-generation","generate images from text prompts","Generate images from text prompts (and optionally edit\u002Fremix input images). Use when the user asks to create, generate, draw, render, or edit an image, illustration, logo, icon, diagram, or photo.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1392,1395,1398],{"name":1393,"slug":1394,"type":16},"Creative","creative",{"name":1396,"slug":1397,"type":16},"Graphics","graphics",{"name":1399,"slug":1387,"type":16},"Image Generation","2026-07-13T06:23:06.189403",69]