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Found 1,574 Skills
Ingest, QC, and map reads with reproducible outputs. Use for raw read processing and coverage stats.
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
Fuzzing skill for automated input-driven bug finding in C/C++. Use when setting up libFuzzer or AFL++ fuzz targets, defining fuzz entry points around parsing or I/O boundaries, integrating fuzzing into CI, managing corpora, or combining fuzzing with sanitizers. Activates on queries about libFuzzer, AFL, afl-fuzz, fuzz targets, corpus management, coverage-guided fuzzing, or OSS-Fuzz integration.
Analyze, draft, and review Insurance clauses for Construction contracts. Use when the user mentions insurance clause, coverage requirements, construction insurance, or asks to review, redline, or generate this clause type. Returns structured risk assessment, plain-language summary, and suggested alternative language.
Three-lens code review using parallel subagents: Epimetheus (hindsight — bugs, debt, fragility), Metis (craft — clarity, idiom, fit-for-purpose), Prometheus (foresight — vision, extensibility, future-Claude). Triggers on /titans, /review, 'review this code', 'what did I miss', 'before I ship this'. Use after completing substantial work, before /close. (user)
Applies TDD workflow to development. Use when writing tests before code, implementing features test-first, fixing bugs via failing test, or refactoring with test coverage. Detects AI anti-patterns.
Pre-commit code quality review workflow. Use before committing changes to verify code quality, security, testing coverage, and adherence to project conventions. Supports both automated checking and interactive review modes.
Use when creating, searching, updating, or managing GitHub issues via CLI. Triggers: "issue", "create issue", "gh issue", "task tracking", "context", "handoff", "resume task", "session context", "save progress", "active tasks", "in-progress", "my tasks", "open issues". Covers: gh commands, bulk operations, JSON/jq, search filters, issue-to-PR workflow, AI session context storage, task workflow with labels.
Create or update repository README.md files with concise, human-skimmable structure and verified metadata. Use when writing or refreshing README content, adding or correcting badges, documenting stack and deployment/services, and explicitly reporting testing coverage (unit, integration, e2e api, e2e web) plus CI execution status.
Retrieve consensus price targets for any stock using Octagon MCP. Use when you need the average, median, high, and low analyst price targets to evaluate upside/downside potential and analyst agreement.
React testing best practices using React Testing Library, Vitest, and Jest. Use when writing, reviewing, or generating tests for React components, hooks, context providers, async interactions, or form submissions. Triggers on tasks like "write a test for this component", "add unit tests", "test this hook", "mock this API call", "improve test coverage", or "set up Vitest".
Technical documentation writing and diagram generation. Use when creating docs, syncing documentation with code changes, building Mermaid diagrams, running doc coverage audits, or establishing writing style guides. Use for doc-as-code workflows, ERD generation, sequence diagrams, documentation gap analysis, and AI-assisted drafting.