Checks cyclomatic complexity, nesting, long methods, god classes, method signatures, O(n²), N+1 queries, constants management. Returns findings.
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Checks cyclomatic complexity, nesting, long methods, god classes, method signatures, O(n²), N+1 queries, constants management. Returns findings.
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Checks compiler/linter errors, deprecation warnings, type errors, failed tests, build config issues. Returns findings with severity, location, effort, recommendations.
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Checks hardcoded secrets, SQL injection, XSS, insecure dependencies, missing input validation. Returns findings with severity, location, effort, recommendations.
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Analyzes application logs: classifies errors, checks log quality/format, maps stack traces to source, recommends fixes.
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Applies safe auto-fixes for low-risk audit findings (unused imports, dead code, commented-out code). Confidence >=90% only. Creates single commit with summary.
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Checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates decisions via MCP Ref. Reports with SEC-/PERF-/MNT-/ARCH-/BP-/OPT- prefixes.
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Universal skill reviewer: SKILL mode (D1-D9 + M1-M5) or COMMAND mode (skill review)
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Builds interactive HTML presentation with 6 tabs (Overview, Requirements, Architecture/C4, Tech Spec, Roadmap, Guides). Creates presentation/README.md hub.
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Creates test documentation (testing-strategy.md + tests/README.md). Establishes testing philosophy and Story-Level Test Task Pattern.
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Coordinates code quality: ln-511 metrics, ln-512 cleanup, inline agent review (Codex + Gemini), ln-513 regression, ln-514 log analysis. Returns quality_verdict + aggregated results.
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Checks structured logging, health check endpoints, metrics collection, request tracing, log levels. Returns findings with severity, location, effort, recommendations.
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Performs manual testing of Story AC via executable bash scripts saved to tests/manual/. Creates reusable test suites per Story.
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Persistent cross-session knowledge base. Manages per-project learnings that compound across sessions — patterns, pitfalls, preferences, and project quirks. The agent gets smarter on your codebase over time. At session start, searches relevant learnings. During sessions, logs discoveries. Supports review, search, prune, and export. Use proactively when the agent encounters a durable project quirk, user preference, or pattern that would save 5+ minutes next time. Also use at session start to recover context. Triggers: "remember this", "log this", "what have we learned?", "show learnings".
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Creates .pi/skills from procedural doc sections with proper structure and transformation
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Worker that runs existing tests to catch regressions. Auto-detects framework, reports pass/fail. No status changes or task creation.
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Checks outdated packages, unused deps, reinvented wheels, vulnerability scan (CVE/CVSS). Supports mode: full | vulnerabilities_only.
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Builds dependency graph, detects cycles (DFS), validates boundary rules, calculates coupling metrics (Ca/Ce/I, CCD/NCCD). Adaptive architecture detection.
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Audits env var config: file inventory, code-to-example sync, default desync, naming, startup validation. Stack-adaptive.
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Generates Docker and docker-compose configuration for multi-container development
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Checks DRY (10 types), KISS/YAGNI, error handling, DI patterns. Returns findings with severity, location, effort, pattern_signature.
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Universal platform artifact cleaner: Replit, StackBlitz, CodeSandbox, Glitch
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Generates GitHub Actions CI workflow configuration
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Creates 5 root documentation files (PROJECT.md, docs/README.md, documentation_standards.md, principles.md, tools_config.md).
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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.).
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