Explore skills

Generative Engine Optimization — optimize content for AI search engines (ChatGPT, Perplexity, Google AI Overviews, Gemini). Use when user wants to rank in AI search, improve AI citability, audit content for LLM visibility, or explicitly invokes /geo commands. Triggers on "GEO", "generative engine", "AI search", "AI overviews", "citability", "Perplexity", "ChatGPT search", or /geo commands.

Use when packaging, publishing, or updating a public agent-skill repository so it can be installed across machines, repos, Codex, Claude Code, and local skill directories.

Manually-triggered comprehensive codebase health audit covering security, architecture, documentation drift, dead code, and test coverage gaps. Produces a ranked markdown report, files prioritized GitHub issues, and proposes (but never autonomously opens) auto-fix PRs for trivial safe changes. Use when the user wants to audit, scan, review the health of, do a security check on, find dead code in,

Capture the current state of a project by updating documentation at the end of a development session. Invokes the readme skill to refresh README.md and the planning-with-files skill to record project status in a doc/ or docs/ directory. Use after merging a PR, finishing a feature, wrapping up a coding session, or any time the user wants to snapshot where the project stands — even implicit phrases

Use when the user wants to prevent broken code from being pushed, block git push when tests fail, run tests before push, set up push protection, or add a safety net against pushing untested code. Covers any request to gate pushes on test results — whether they mention "hook", "pre-push", or just describe wanting to stop bad code from reaching the remote. Also handles auto-fix/auto-repair of test f

Ingest broker / wallet screenshots and update the Obsidian portfolio tracker at Personal/Finance/Portfolio/. Reads each screenshot the user pastes (US broker, TW broker, crypto wallet/exchange), diffs the extracted holdings against existing ticker files, surfaces inferred buys/sells/transfers for user confirmation, prompts a one-line thesis-log entry for each change, then writes the transactions r

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

Use when repository documentation is stale and the user asks to refresh docs to match the current codebase and workflows.

Use after pulse:validating approves execution and swarm mode is recommended, when the current work slice should be run by coordinated parallel workers.

Audits a working feature for the gap between "happy path passes" and "production-ready" — edge cases, error handling, loading/empty/error states, a11y, responsive, i18n, observability, ops hooks. Use when a feature works but needs polish, for "완성도 높여줘", "production ready로", "edge case 검토", "polish this feature", "is this ready to ship?", "엣지 케이스 다 챙겼나", "PR 전 점검", "빠진 상태 없나", or before shipping an

SAP ABAP RESTful Application Programming Model (RAP) development skill. End-to-end scope: business objects (BO), CDS data model, behavior definitions and implementations, service definitions / bindings, file uploads/downloads, metadata extensions, value helps, and RAP testing. Use when the user asks to: build a RAP BO (managed or unmanaged), model CDS view entities / table entities / projection vi

Map the high-level microservice architecture and generate per-service spec .md files that give AI agents full context — owned APIs, DB tables, events, inter-service dependencies, and data flows. Use when user wants to document microservice interactions, generate context files for AI agents, understand service boundaries, or says "ms-spec" or "map my services".