AI Agent Skills

This skill should be used when the user asks to "create a Makefile", "write a Makefile", "add a make target", or mentions Makefile conventions.

Locate and work with dwmkerr's repositories. Use when user mentions "my repos", "my repo X", "check my repo", or needs to find/access a specific repository.

This skill should be used when the user asks to "sign this PDF", "fill in this form", "add my signature to", or mentions signing letters, claim forms, or contracts. Over…

Create a new GitHub project with standard configuration. Use when user asks to "create a project", "set up a new repo", "initialize a repository", or wants to start a ne…

This skill should be used when the user asks to "set up release please", "configure automated releases", "manage version numbers", "add changelog automation", or mention…

Deep research into technical solutions by searching the web, examining GitHub repos, and gathering evidence. Use when the user explicitly says "use the research skill",…

Add a deterministic PDF test fixture via gen_fixtures.rs with hand-computed expected geometry. Use when a new feature or bug fix needs a PDF exercising specific structur…

Visually verify extraction changes against real PDFs using the embedded playground before opening a PR. Use after any change to extraction geometry, grouping, granularit…

Design and review distributed locks for agent step transitions. Use when preventing concurrent workers, duplicate resumes, retries, compensation, or external requests fr…

Build production-quality frontend interfaces. Use when creating or modifying UI components, layouts, interaction states, responsive behavior, accessibility, visual polis…

Design and review idempotency and audit contracts for agent runtimes. Use when preventing duplicate side effects, propagating idempotency keys, persisting operation hist…

Review LangGraph native runtime boundaries before building custom agent runtime infrastructure. Use when deciding whether queueing, workers, checkpointers, stores, inter…

Guide robust Node.js and TypeScript engineering. Use when working on Node services, scripts, CLIs, tests, streams, async workflows, module boundaries, environment config…

Design and review retry budgets for agent steps, tools, providers, and transport calls. Use when classifying retryable errors, enforcing max attempts, respecting Retry-A…

Fundamental principles of AI Agent cognitive loops, contrasting ReAct and Plan-and-Solve paradigms.

Theoretical foundations of Working, Semantic, and Episodic memory systems for autonomous agents.