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Found 3,072 Skills
Working effectively with JSON data structures.
L3 Worker. Reviews task implementation for quality, code standards, test coverage. Creates [BUG] tasks for side-effect issues found outside task scope. Sets task Done or To Rework. Usually invoked by ln-400 with isolated context, can also review a specific task on user request.
Create ASCII diagrams for markdown using graph-easy. TRIGGERS - ASCII diagram, graph-easy, architecture diagram, markdown diagram.
Semantic content auditor (L3 Worker). Verifies document content matches stated SCOPE, aligns with project goals, and reflects actual codebase state. Called by ln-600 for each project document. Returns scope_alignment and fact_accuracy scores with findings.
Modern TypeScript project architecture guide for 2025. Use when creating new TS projects, setting up configurations, or designing project structure. Covers tech stack selection, layered architecture, and best practices.
Diagnose and guide revisions in non-fiction books. Use for non-fiction book revision, when arguments feel weak, evidence is outdated, readers report confusion, thesis is unclear, or book structure has problems. Keywords: non-fiction, revision, thesis, argument, evidence, structure.
Chain-of-Verification (CoVe) prompting system. Converts lazy prompts into rigorous 4-stage verified output. Use for any code generation, debugging, or implementation task. Automatically invoked by wavybaby for medium/high complexity tasks. Reduces hallucinations and catches subtle bugs.
Review an implemented .plan.md by executing the instructions in its
Validates agent skill definitions against agentskills.io and AGENTS.md rules. Use when creating or modifying skills to ensure they are machine-readable and documentation-complete.
Comprehensive toolkit for generating best practice GitHub Actions workflows, custom local actions, and configurations following current standards and conventions. Use this skill when creating new GitHub Actions resources, implementing CI/CD workflows, or building reusable actions.
Use when generating 50+ structured items with parallel Claude Code subagents and merging outputs into one file.
Use this method when fact-checking drafts that include dates, quantities, or causal claims by cross-referencing multiple independent sources.