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Detect Markdown spec changes and sync implementation plans, code, and tests.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "docs-is-code" yet — see the docs or source repo.
Check the recently changed Markdown spec files in the repository, summarize requirement changes, and generate a step-by-step implementation plan, impacted modules list, and testing tasks.
A structured development plan with change summary, implementation steps, impact scope, and testing recommendations.
Based on the new requirements in docs/api-auth.md, update the related implementation code and automated tests; if inconsistencies exist, list them and provide fix suggestions.
A description of required code and test updates, plus mismatches and corresponding fixes.
Scan the project's Markdown specs, implementation code, and test cases to find parts that are unimplemented, untested, or drifting from the docs, then rank them by priority.
A consistency report listing gaps, risk levels, priorities, and recommended actions.
Create repository docs from verified code facts with model-based drafting and fact-checking.
Audit, refactor, and document codebases in Cursor and Claude.
Analyze codebases to generate READMEs, API docs, diagrams, and changelogs.
Turn YAML manifests into MCP servers with configurable tools, resources, and prompts.
Generate and maintain traceable enterprise documentation from real codebase artifacts.
Enable AI to read and write SpecDown specs for spec-driven development.