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Found 30 Skills
Self-improve AI Factory skills based on project context, accumulated patches, and codebase patterns. Analyzes what went wrong, what works, and enhances skills to prevent future issues. Use when you want to make AI smarter for your project.
Create or update a shared Apple design context document that other HIG skills use to tailor guidance. Use when the user says "set up my project context," "what platforms am I targeting," "configure HIG settings," or when starting a new Apple platform project. Also activates when other HIG skills need project context but none exists yet. This skill creates .claude/apple-design-context.md so that hig-foundations, hig-platforms, hig-components-*, hig-inputs, and hig-technologies can provide targeted advice without repetitive questions.
Writes or rewrites README.md files tailored to the project type (CLI, library, app, framework, monorepo, or skill bundle). Discovers project context, selects the right structure, writes section by section, and validates against quality checks. Use when creating a README, writing a README from scratch, rewriting a bad README, bootstrapping project documentation, or asking "write a README for this project."
Initialize Spec-Driven Development context in any project. Detects stack, conventions, and bootstraps the active persistence backend. Trigger: When user wants to initialize SDD in a project, or says "sdd init", "iniciar sdd", "openspec init".
The project's all-seeing guide. Sentinel MUST activate before Claude takes any action that modifies, creates, or deletes anything in the project. It understands the codebase, architecture, brand, design system, business model, deployment pipeline, testing strategy, and every convention. Trigger on: action requests (build, fix, add, change, update, refactor, implement, create, remove, delete, migrate, deploy, integrate, improve, configure, install, bump, upgrade, debug, troubleshoot, move, rename); casual requests (can you, I need to, let's, go ahead and, help me, we need to); status reports (X is broken/failing, there's a bug); project questions (how does X work here, where would I add, walk me through); planning (scope this, break this down, write a spec). Do NOT trigger on general knowledge, blog posts, interview prep, or tech comparisons for other projects. Key test: does this need THIS project's context? If yes, trigger. Sentinel guides Claude, it does not execute. No task is too small.
This skill implements a specific task from a project's ROADMAP.md file. It should be used when the user wants to work on a roadmap action item by its ID (e.g., '1.1', '2.3'). Triggered by requests like '/do-task 1.1', '/do-task 2.3', or 'do task 3.1'. Works alongside the project-init skill (which creates the roadmap) and the checkpoint skill (which commits afterward).
Propose a new spec-driven change. Scaffolds proposal.md, design.md, tasks.md, and questions.md for a named change, populated with project context.
Use when starting work on a new or unfamiliar project, when encountering unexpected patterns, when user corrects your assumptions, or when explicitly invoked via /learn - auto-discovers and remembers project context through structured codebase analysis
Design professional, modern logos with automatic project context detection. Use when users ask to "create a logo", "design a logo", "generate brand identity", "make a favicon", or need visual brand assets. Analyzes project files (README, package.json, etc.) to understand product name, purpose, and existing brand colors before generating logo concepts.
Persistent local memory for AI agents. Use when starting a new session, when the user mentions remembering something, when you need project context, when making architecture decisions, or when working with other agents on the same project.
Improve a rough or thin prompt into a detailed, actionable one using project context. Use when the user types '/improve-prompt <rough idea>' or '/?? <rough idea>'. Takes a vague request and returns a well-structured prompt with specific file paths, project patterns, acceptance criteria, and relevant context. Do NOT use for executing tasks — this only improves the prompt text.
Self-improve AI Factory skills based on project context, accumulated patches, and codebase patterns. Analyzes what went wrong, what works, and enhances skills to prevent future issues. Use when you want to make AI smarter for your project.