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Find your next superpower If you are an agent, refer to our llms.txt for full access.Provides an Understand, Clarify, Design, Implement, and Complete workflow triggered by /do. Uses codeagent-wrapper to coordinate code exploration, architecture, review, and development agents in parallel.
Executes an approved, unblocked implementation slice with minimal code changes and testing, then hands off its status. Supports work defined by a SPEC and Slice or a single-context change approved directly through planning.
Creates documentation from code, including JSDoc comments, README files, and API specifications.
Covers RST files, NumPy-style Python docstrings, README files, example scripts, and Sphinx configuration. Applies formatting, content structure, Google developer style guidance, Sphinx extensions, and Vale linting.
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 …
Use when syncing rollout docs, BR docs, implementation docs, review checklists, and knowledge base notes after code or process changes.
文档与 codemap 更新专家，用于生成/更新 docs/CODEMAPS、README 与指南；在功能变更、API 变更或架构调整后主动执行。
Update documentation and specifications through index maintenance, link repairs, and small refactors. Supports reorganising docs and improving navigation.
AI-driven documentation repair with structured research workflow, template-aware generation, and quality validation loops. Generates or fixes canonical documentation by researching the actual codebase, not using placeholders. Iterates until guard passes.
Run DocGuard guard validation against Canonical-Driven Development standards. Parses output, triages severity, suggests targeted fixes, and optionally chains to docguard-fix for automated remediation. Use as a quality gate before commits or after implementation phases.
Cross-document consistency analysis and quality assessment. Performs read-only analysis across all canonical docs, identifies drift, coverage gaps, and quality issues. Produces a structured report with severity-ranked findings. Modeled after speckit-analyze.
CDD maturity assessment with category-aware improvement roadmap. Runs scoring engine, analyzes category breakdown, identifies highest-impact improvements, and generates a before/after improvement plan with projected score gains.
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npx skillycli add owner/repo --skill name