claude-skills-for-copilot

Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.

Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work.

Use for landing pages, websites, apps, and UI where visual composition and structure are the primary concern. Enforces art direction, image-led hierarchy, content structure, and restrained motion. Complements frontend-design by focusing on layout and composition rules rather than aesthetic boldness.

Use when the user asks to build an MCP server, create an MCP integration, wrap an API for AI agents, or expose tools via the Model Context Protocol. Guides through deployment model selection (remote HTTP, MCPB, local stdio), tool-design patterns, and framework choice before scaffolding code.

Multi-agent code review for local changes, files, or directories. Detects bugs, security issues, and conventions-file violations (AGENTS.md/CLAUDE.md/GEMINI.md).

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Works on recently modified code, a set of changes, or the whole codebase.

Analyzes code comments for accuracy, completeness, and long-term maintainability. Detects comment rot and misleading documentation. Use after adding or modifying code comments.

Audit and improve project conventions files (AGENTS.md, CLAUDE.md, GEMINI.md). Scans for all conventions files, evaluates quality against a scoring rubric, outputs a quality report, then makes targeted improvements with user approval. Use when asked to check, audit, update, or improve AGENTS.md or similar files.

Guided feature development with multi-agent codebase understanding, architecture design, and implementation review. Use when starting a new feature or implementing a significant change.

Fetch all review comments and threads on the current branch's open GitHub PR using the gh CLI, present a numbered summary, and address the ones the user selects.

Debug failing GitHub Actions CI checks on the current branch's PR using the gh CLI — inspect logs, summarize root cause, and propose a focused fix plan before implementing.

Orchestrates a comprehensive code review using up to 6 specialist skills. Dispatches code-review, code-simplifier, comment-analyzer, silent-failure-hunter, type-design-analyzer, and test-analyzer based on the scope of changes. Use for thorough end-to-end review of code changes.

Audits error handling for silent failures, inadequate user feedback, and unjustified fallback behavior. Finds issues in catch blocks, fallbacks, and error paths. Use after modifying error handling code.

Reviews test coverage quality from a behavioral perspective, identifying critical gaps and test quality issues. Does not check line coverage — checks meaningful scenario coverage. Use after adding or modifying tests.

Analyzes type design quality by rating encapsulation, invariant expression, usefulness, and enforcement. Helps design types that make invalid states unrepresentable. Use when reviewing new types or data models.