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Process modes first (`\u002Fbrainstorm`, `\u002Fdebug`) -- determine HOW to approach the task\n2. Implementation modes second (`\u002Fwrite-plan`, `\u002Fexecute-plan`) -- guide execution\n3. Completion modes last (`\u002Fverify`, `\u002Ffinish`) -- close out work\n\n## Reference: Mode Tool\n\nThe `mode` tool allows programmatic mode transitions. Use `mode(operation=\"set\", name=\"write-plan\")` to request a mode change. The first request will be blocked with a reminder — call again to confirm. This is useful when agents need to request transitions during automated workflows.\n\n## Reference: Modes\n\n| Mode | Shortcut | Purpose | Who Does The Work |\n|------|----------|---------|-------------------|\n| Brainstorm | `\u002Fbrainstorm` | Design refinement through collaborative dialogue | You (main agent) |\n| Write Plan | `\u002Fwrite-plan` | Create detailed implementation plan with TDD tasks | You (main agent) |\n| Execute Plan | `\u002Fexecute-plan` | Subagent-driven development with three-agent pipeline | Subagents (you orchestrate) |\n| Debug | `\u002Fdebug` | 4-phase systematic debugging | You (main agent) |\n| Verify | `\u002Fverify` | Evidence-based completion verification | You (main agent) |\n| Finish | `\u002Ffinish` | Complete branch -- verify, merge\u002FPR\u002Fkeep\u002Fdiscard | You (main agent) |\n\n## Reference: Agents\n\n| Agent | Purpose | When to Use |\n|-------|---------|-------------|\n| `superpowers:brainstormer` | Design refinement specialist | MANDATORY — after brainstorm conversation, delegate document creation |\n| `superpowers:plan-writer` | Detailed plan creation | MANDATORY — after write-plan conversation, delegate plan creation |\n| `superpowers:implementer` | Implements tasks following strict TDD | MANDATORY -- every task in `\u002Fexecute-plan` |\n| `superpowers:spec-reviewer` | Reviews implementation against spec | MANDATORY -- every task in `\u002Fexecute-plan`, after implementer |\n| `superpowers:code-quality-reviewer` | Reviews code quality and best practices | MANDATORY -- every task in `\u002Fexecute-plan`, after spec-reviewer |\n\n**Delegation rules:**\n- **Brainstorm and Write-Plan: YOU own the conversation.** When it's time to write the artifact, delegate to the brainstormer\u002Fplan-writer agent. The back-and-forth with the user is what makes these phases effective. The agent writes the document after you've validated everything.\n- **Execute-Plan: YOU delegate everything.** You are the orchestrator. Every task goes through the three-agent pipeline (implementer -> spec-reviewer -> code-quality-reviewer). You never write code in this mode.\n- **Debug: YOU investigate (Phases 1-3). Fixes MUST be delegated** to `foundation:bug-hunter` or `superpowers:implementer` (Phase 4). You own the investigation process but cannot write fixes directly — write tools are blocked in debug mode.\n- **Verify, Finish: YOU do the work directly.** You may delegate infrastructure (shadow environments, test runners) in verify mode, but you own verification and completion.\n\n**Why fresh subagents per task:**\n- **Clean context** — No pollution from previous work\n- **Focused attention** — Single task, single responsibility\n- **Quality gates** — Review checkpoints catch issues early\n- **Parallel safety** — Subagents don't interfere with each other\n\n## Reference: Recipes\n\nExecute these workflows using the recipes tool:\n\n| Recipe | Purpose | When to Use |\n|--------|---------|-------------|\n| `superpowers:recipes\u002Fsuperpowers-full-development-cycle.yaml` | End-to-end: idea to merged code | Complete feature development |\n| `superpowers:recipes\u002Fbrainstorming.yaml` | Refine ideas into designs | Starting a new feature |\n| `superpowers:recipes\u002Fwriting-plans.yaml` | Create detailed implementation plans | After design is approved |\n| `superpowers:recipes\u002Fexecuting-plans.yaml` | Execute plans in batches | For batch execution with checkpoints |\n| `superpowers:recipes\u002Fsubagent-driven-development.yaml` | Fresh agent per task + reviews | For same-session execution with foreach |\n| `superpowers:recipes\u002Fgit-worktree-setup.yaml` | Create isolated workspace | Before implementation |\n| `superpowers:recipes\u002Ffinish-branch.yaml` | Complete development branch | After implementation done |\n\n## Reference: Anti-Rationalization Table\n\n| Your Excuse | Why It's Wrong | What You MUST Do |\n|-------------|---------------|------------------|\n| \"This is a simple\u002Ftrivial change\" | Simple changes cause production outages. They still need tests and review. | Follow the appropriate mode's process. |\n| \"I can do this faster myself\" | Speed is not the goal. Tested, reviewed, quality code is the goal. | In `\u002Fexecute-plan`: delegate. In `\u002Fbrainstorm`: follow the process. |\n| \"The user seems to want a quick response\" | The user chose the Superpowers methodology. They want quality. | Give them the full process for the active mode. |\n| \"I'll write the test after\" | That's not TDD. Test FIRST defines what you need, not confirms what you wrote. | RED-GREEN-REFACTOR. Always. |\n| \"This doesn't need a review\" | Everything in `\u002Fexecute-plan` needs review. Both reviews. | Delegate to spec-reviewer, then code-quality-reviewer. |\n| \"I need to debug this myself\" | Use `\u002Fdebug` mode and follow the 4-phase framework. | Activate debug mode. Phase 1 before any fixes. |\n| \"I already know what to build\" | Then the brainstorming questions will be fast. That's not a reason to skip design. | Follow `\u002Fbrainstorm` process. Assumptions kill designs. |\n| \"The plan is obvious\" | If it's obvious, writing exact code will be fast. Vague plans produce bad implementations. | Follow `\u002Fwrite-plan` process. Every task needs complete code. |\n| \"Should work now\" | Run the verification. \"Should\" is not evidence. | Use `\u002Fverify`. Run the command. Read the output. THEN claim. |\n| \"Just one more fix attempt\" | 3+ failed fixes = architectural problem. Stop fixing symptoms. | Question the architecture. Discuss with user. |\n| \"No mode applies here\" | If there's even a 1% chance, suggest it. Let the user decide. | State which mode might apply and why. |\n\n## Reference: Key Rules\n\n1. **Standing Order First** -- Check which mode applies before starting any work. Suggest it even if you're only 1% sure.\n2. **Own Design Conversations, Delegate Artifacts** -- You brainstorm and write plans through conversation. 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Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1399,1402,1403,1406,1409,1410],{"name":1400,"slug":1401,"type":15},"Analytics","analytics",{"name":1385,"slug":1386,"type":15},{"name":1404,"slug":1405,"type":15},"Data Analysis","data-analysis",{"name":1407,"slug":1408,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":1411,"slug":1412,"type":15},"Monitoring","monitoring","2026-05-13T06:14:16.261754",{"slug":1415,"name":1415,"fn":1416,"description":1417,"org":1418,"tags":1419,"stars":1390,"repoUrl":1391,"updatedAt":1428},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1420,1423,1424,1425],{"name":1421,"slug":1422,"type":15},"AI Infrastructure","ai-infrastructure",{"name":1385,"slug":1386,"type":15},{"name":1407,"slug":1408,"type":15},{"name":1426,"slug":1427,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":1430,"name":1430,"fn":1431,"description":1432,"org":1433,"tags":1434,"stars":1390,"repoUrl":1391,"updatedAt":1445},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1435,1436,1439,1440,1441,1444],{"name":1385,"slug":1386,"type":15},{"name":1437,"slug":1438,"type":15},"Compliance","compliance",{"name":1388,"slug":1389,"type":15},{"name":9,"slug":8,"type":15},{"name":1442,"slug":1443,"type":15},"Python","python",{"name":1426,"slug":1427,"type":15},"2026-07-18T05:14:23.017504",{"slug":1447,"name":1447,"fn":1448,"description":1449,"org":1450,"tags":1451,"stars":1390,"repoUrl":1391,"updatedAt":1456},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1452,1453,1454,1455],{"name":1400,"slug":1401,"type":15},{"name":1385,"slug":1386,"type":15},{"name":1388,"slug":1389,"type":15},{"name":1442,"slug":1443,"type":15},"2026-07-31T05:54:29.068751",{"slug":1458,"name":1458,"fn":1459,"description":1460,"org":1461,"tags":1462,"stars":1390,"repoUrl":1391,"updatedAt":1469},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1463,1466,1467,1468],{"name":1464,"slug":1465,"type":15},"API Development","api-development",{"name":1385,"slug":1386,"type":15},{"name":9,"slug":8,"type":15},{"name":1442,"slug":1443,"type":15},"2026-07-18T05:14:16.988376",{"slug":1471,"name":1471,"fn":1472,"description":1473,"org":1474,"tags":1475,"stars":1390,"repoUrl":1391,"updatedAt":1484},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1476,1477,1480,1483],{"name":1385,"slug":1386,"type":15},{"name":1478,"slug":1479,"type":15},"Computer Vision","computer-vision",{"name":1481,"slug":1482,"type":15},"Images","images",{"name":1442,"slug":1443,"type":15},"2026-07-18T05:14:18.007737",{"slug":1486,"name":1486,"fn":1487,"description":1488,"org":1489,"tags":1490,"stars":1390,"repoUrl":1391,"updatedAt":1499},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1491,1492,1495,1498],{"name":1385,"slug":1386,"type":15},{"name":1493,"slug":1494,"type":15},"Configuration","configuration",{"name":1496,"slug":1497,"type":15},"Feature Flags","feature-flags",{"name":1407,"slug":1408,"type":15},"2026-07-03T16:32:01.278468",{"slug":1501,"name":1501,"fn":1502,"description":1503,"org":1504,"tags":1505,"stars":1390,"repoUrl":1391,"updatedAt":1518},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1506,1509,1512,1515],{"name":1507,"slug":1508,"type":15},"Cosmos DB","cosmos-db",{"name":1510,"slug":1511,"type":15},"Database","database",{"name":1513,"slug":1514,"type":15},"NoSQL","nosql",{"name":1516,"slug":1517,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":1520,"name":1520,"fn":1502,"description":1521,"org":1522,"tags":1523,"stars":1390,"repoUrl":1391,"updatedAt":1531},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1524,1525,1526,1527,1528],{"name":1507,"slug":1508,"type":15},{"name":1510,"slug":1511,"type":15},{"name":9,"slug":8,"type":15},{"name":1513,"slug":1514,"type":15},{"name":1529,"slug":1530,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1533,"name":1533,"fn":1534,"description":1535,"org":1536,"tags":1537,"stars":1390,"repoUrl":1391,"updatedAt":1543},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1538,1539,1540,1541,1542],{"name":1385,"slug":1386,"type":15},{"name":1507,"slug":1508,"type":15},{"name":1510,"slug":1511,"type":15},{"name":1407,"slug":1408,"type":15},{"name":1513,"slug":1514,"type":15},"2026-05-13T06:14:17.582229",267,{"items":1546,"total":22},[1547,1562,1580],{"slug":1273,"name":1273,"fn":1548,"description":1549,"org":1550,"tags":1551,"stars":22,"repoUrl":23,"updatedAt":1561},"follow E2E testing discipline","4 principles for E2E testing discipline — observe first, fix in batches, expect long durations, check container state directly. NO FIXES DURING OBSERVATION RUNS.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1552,1555,1558],{"name":1553,"slug":1554,"type":15},"E2E Testing","e2e-testing",{"name":1556,"slug":1557,"type":15},"QA","qa",{"name":1559,"slug":1560,"type":15},"Testing","testing","2026-04-06T18:38:12.870937",{"slug":1563,"name":1563,"fn":1564,"description":1565,"org":1566,"tags":1567,"stars":22,"repoUrl":23,"updatedAt":1579},"sdd-walkthrough","orchestrate subagent-driven development sessions","Use when about to orchestrate a subagent-driven-development execute-plan session — provides 5 realistic task scenarios with Amplifier delegate() patterns, model_role selection, status handling (DONE, DONE_WITH_CONCERNS, NEEDS_CONTEXT), and fix loops for spec and quality issues",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1568,1569,1572,1573,1576],{"name":20,"slug":21,"type":15},{"name":1570,"slug":1571,"type":15},"Amplifier","amplifier",{"name":1359,"slug":1360,"type":15},{"name":1574,"slug":1575,"type":15},"Multi-Agent","multi-agent",{"name":1577,"slug":1578,"type":15},"Workflow Automation","workflow-automation","2026-04-07T19:00:24.572734",{"slug":4,"name":4,"fn":5,"description":6,"org":1581,"tags":1582,"stars":22,"repoUrl":23,"updatedAt":24},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1583,1584,1585],{"name":13,"slug":14,"type":15},{"name":20,"slug":21,"type":15},{"name":17,"slug":18,"type":15}]