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Found 10 Skills
Full-power feature implementation with parallel subagents. Use when implementing, building, or creating features.
Use when generating 50+ structured items with parallel Claude Code subagents and merging outputs into one file.
Technical debt detection and remediation. Run at session end to find duplicated code, dead imports, security issues, and complexity hotspots. Triggers: 'find tech debt', 'scan for issues', 'check code quality', 'wrap up session', 'ready to commit', 'before merge', 'code review prep'. Always uses parallel subagents for fast analysis.
Use when answering complex questions about a codebase that require exploring multiple areas or understanding how components connect - coordinates parallel sub-agents to locate, analyze, and synthesize findings
Conduct deep codebase research and produce a written report. Use when the user says "Research ...", "start a research for", "deeply investigate", or "fully understand how X works". Do not use for quick questions or simple code lookups.
Translate entire books (PDF/DOCX/EPUB) into any language using Claude Code parallel subagents with resumable chunked pipeline
Detects common LLM coding agent artifacts by spawning 4 parallel subagents
Run the evo optimization loop with parallel subagents until interrupted.
Populate `<docs-dir>/features/<slug>.md` for one, several, or every undocumented feature area by dispatching up to 10 parallel subagents — one per feature. The agent docs directory is discovered from `AGENTS.md` — typically `agents-docs/` (the `setup-agentic-repository` default) but may be elsewhere if `--docs-dir` was used. Use whenever the user wants to document features, fill out feature docs, write up specific features (e.g. "document auth and billing"), document all undocumented features, or follow up on `find-features` discovery. This is the natural sequel to `find-features` — that skill identifies what is missing, this skill writes the docs in parallel.
Document a recently solved problem to compound your team's knowledge