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Found 2,771 Skills
Use this agent when you need to verify that a UI implementation matches its Figma design specifications. This agent should be called after code has been written to implement a design, particularly after HTML/CSS/React components have been created or modified. The agent will visually compare the live implementation against the Figma design and provide detailed feedback on discrepancies.\n\nExamples:\n- <example>\n Context: The user has just implemented a new component based on a Figma design.\n user: "I've finished implementing the hero section based on the Figma design"\n assistant: "I'll review how well your implementation matches the Figma design."\n <commentary>\n Since UI implementation has been completed, use the design-implementation-reviewer agent to compare the live version with Figma.\n </commentary>\n </example>\n- <example>\n Context: After the general code agent has implemented design changes.\n user: "Update the button styles to match the new design system"\n assistant: "I've updated the butto...
Define, validate, and run lane-style multi-step automation sequences using `asc workflow` and a repo-local `.asc/workflow.json`. Use when migrating from lane-based automation, building enterprise CI flows, or orchestrating multi-command `asc` runs.
Comprehensive protocol for validating root causes of software issues. Use when you need to systematically debug a complex bug, flaky test, or unknown system behavior by forming hypotheses and validating them with specific tasks.
Use when analyzing plugin structures, MCP tools, and plugin security patterns.
Validate specifications, implementations, constitution compliance, or understanding. Includes spec quality checks, drift detection, and constitution enforcement.
Use when converting a design document, PRD, or task list into beads issues - ensures lossless conversion with proper epic hierarchy, validated dependencies for maximum parallelization, and three independent subagent review passes before execution
Validate Architecture Decision Records (ADR) against Layer 5 schema standards
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Review Code
Design and refactor Agent Skills with concise, high-signal instructions and explicit trigger metadata. Use when creating a new skill, revising SKILL.md/README.md structure, or improving skill discoverability and portability.
Generate professional Agent Skills for Claude Code and other AI agents. Creates complete skill packages with SKILL.md, references, scripts, and templates. Use when creating new skills, generating custom slash commands, or building reusable AI capabilities. Validates against Agent Skills specification.
Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.