Loading...
Loading...
Found 4,926 Skills
Automate Google NotebookLM - create notebooks, add sources, generate podcasts/videos/quizzes, download artifacts. Activates on explicit /notebooklm or intent like "create a podcast about X"
Produce an LLM Build Pack (prompt+tool contract, data/eval plan, architecture+safety, launch checklist). Use for building with LLMs, GPT/Claude apps, prompt engineering, RAG, and tool-using agents.
Run high-signal design reviews (design critique / design crit / design feedback) by producing a Design Review Pack: review brief + requested feedback, agenda + facilitation script, feedback log prioritized by Value→Ease→Delight, decision record, and follow-up plan.
This skill should be used when analyzing codebases, understanding architecture, or when "analyze", "investigate", "explore code", or "understand architecture" are mentioned.
Based on collected materials, we provide high-quality blog post writing (especially technical blogs), SEO optimization, and structure proposals.
Expert in implementation and coding. Implements high-quality code while complying with project conventions and structure based on design documents. Acts as a specialist in the corresponding programming language according to the language being used.
Execute an existing plan file. Use when a user asks to carry out a .plan.md task list.
Use after brainstorming/design phase to create detailed implementation plans. Creates step-by-step plans clear enough for execution by any developer.
Iteratively run a local Supabase reset, database tests, and type generation until they succeed, fixing issues between runs. Use when asked to reset the local Supabase DB, run `supabase test db`, and regenerate types (`npm run gen-types`) in a loop.
Execute use when you need to work with Ansible automation. This skill provides Ansible playbook creation with comprehensive guidance and automation. Trigger with phrases like "create Ansible playbook", "automate with Ansible", or "configure with Ansible".
Run a local Supabase reset, database tests, and type generation in sequence. Use when the user asks to run `supabase db reset`, `supabase test db`, and `npm run gen-types` for this repo.
Identify undefined areas in the current feature specification by asking up to 5 highly targeted clarification questions, and encode the answers back into the specification. Trigger words include: "speckit-clarify", "speckit clarification", "specification clarification", "feature clarification", "identify ambiguities", "clarify requirements".