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This sub-skill, 'Code Review and Understanding,' is for PR reviews, PR writing (author side), or understanding unfamiliar code module request paths/call stacks. It includes PR review (diff.html), PR writing (pr.html), and module diagrams, loading when parent skill routes match 'review/PR/audit/how this code works' requests.

Use when setting up a new project with the full opinionated workflow — session memory, commit hooks, copyright headers, ROADMAP, and CLAUDE.md. Invoke with "bootstrap project", "setup project", "new project setup", or /bootstrap-project

Companion overlay for multi-round collaborative drafting of large specs, proposals, decision docs, and similar documents. Use when the workflow needs structured context gathering, explicit outline approval, section-by-section iteration, and reader-testing rather than a direct documentation pass.

Technical documentation writing skill covering API docs, architecture documentation, deployment guides, and various technical writing best practices. Use this skill when creating technical documentation, writing API documentation, creating architecture design documents, or need templates for deployment and operations manuals.

Use when the user wants to "model a problem", "translate to math", "formalize a problem", "mathematical modeling", "how to model this", "set up the math", "define the problem", "what kind of problem is this", or discusses translating real-world problems into formal mathematical structures. Covers any computational domain — discrete, continuous, statistical, or hybrid.

Name Haskell test modules after the module under test with a Spec suffix in the same namespace. Use when writing or reviewing Haskell test module names or test file organization.

Avoid partial functions such as head, fromJust, read, and (!!) in Haskell. Prefer total functions, Maybe-returning variants, and other safe alternatives. Use when writing or reviewing Haskell code that accesses lists, parses strings, or handles Maybe.

Convert docs base URLs, llms.txt, or llms-full.txt into installable Agent Skills with txtskills CLI. Use when a user asks to generate, publish, and optionally install a new skill from documentation.

Documents technical projects in an Obsidian vault. Use when the User mentions document this, close out, wrap up, update notes, track progress, where are we at, or asks about project documentation.

Analyzes writing samples to create a comprehensive voice DNA profile. Use when the user wants to capture their unique writing voice, needs to create a voice profile for AI content, or is setting up a new writing system.

Enables stable Feishu document writing via MCP (mcporter + lark.update-doc/create-doc) with real multiline markdown and post-write fetch validation, ideal for PRD or cloud docs while avoiding newline formatting corruption.

Generate images with xAI's Grok image models (grok-2-image / grok-2-image-1212). Use when the user asks for Grok-generated images, mentions xAI image generation, or wants an OpenAI-compatible image API alternative. Generation only — Grok image models do not support edit, mask, or reference-image inputs.