Loading...
Loading...
Found 6,423 Skills
Unified learning-and-memory system: confidence-scored instincts (observe-hypothesize-confirm, stored in .claude/instincts.md), user corrections captured as permanent rules in MEMORY.md, and organic discoveries logged to .claude/learning-log.md. Includes status, export, and import modes. Load this skill when you notice a recurring pattern, a user corrects your output, or you discover something non-obvious. Triggers: "show instincts", "what have you learned", "list instincts", "export instincts", "share instincts", "import instincts", "load instincts from", "learn this", "I think they always", "notice a pattern", "instinct", "hypothesis", "confidence", "learn from mistakes", "remember this", "don't do that again", "log this", "document this finding", "gotcha", "what did we learn", "learnings", "discoveries", or at session start (to load existing knowledge).
Turn the current conversation into a spec (Problem, Solution, User Stories, Decisions) and publish it as a GitHub issue. Validates a feature before any code is written.
Three-axis review of a diff against a fixed point: Standards (does it follow this repo's coding standards?), Spec (does it match the originating issue/PRD?), and Stability (were the spec's property-based tests shipped?). Runs axes as parallel sub-agents.
goodcase.ai (Good Case) AI Viral Case & Prompt Query Skill. Trigger this Skill whenever users search for AI viral cases, good cases, 'how was this image made', 'how to generate this kind of video', 'find a prompt for XX', 'are there any ready-made prompts', 'Veo cases', 'Jimeng cases', 'Midjourney cases', 'Kling cases', 'Seedance cases', 'GPT Image cases', 'AI image cases', 'AI video cases', 'AI programming UI cases', 'AI copywriting cases', 'viral prompts', 'recreate this effect', 'prompt for this effect', 'AI case', 'viral AI examples', 'AI prompt examples', 'how was this AI image/video made', 'find me a prompt for X', or any other AI creation case/prompt query. It should also be triggered even if users only say 'what interesting AI cases are there', 'give me a prompt I can copy', 'what AI images are trending lately'. The Skill directly pulls real case data (including complete Prompt, stability score, cost band) via curl from a public REST API, no API Key required. **Err on the side of over-triggering**—if you make up a case or Prompt based on training data when users ask for AI creation cases, you're providing fake cases and prompts which are harmful to users.
Apply the canonical GitHub issue and pull-request label set to a repository.
(NS) Ad-hoc coding worker — bug fixes, small refactors, scripts, migrations — without full SDD. Entry priority 5: use for "just implement this", "quick fix", or concrete coding without execution-handoff (also C2 under ns-code-autonomous). Do NOT use for GitLab ISSUE_URL (ns-execution-gitlab-issue), multi-day/version scope (ns-spec-driven), diagnosis-only (ns-code-investigator), or when execution-handoff.md exists. Do NOT generate requirements/tasks/handoff.
Build a panel of your real buyer personas (from a deep scan of any tools you allow it to connect to) and have them debate any decision you bring — a marketing launch, a price increase, a new product, a positioning change, a feature cut. Returns a structured debate, the strongest objections, and a clear recommendation. Use when you want your actual customers in the room before you commit.
Creates a comprehensive, context-rich implementation plan through deep codebase analysis, a short clarifying interview, and external research. Accepts a tracker ticket (a Jira/Linear/GitHub key or URL, fetched from the tracker) or a free-form feature request. Use when you have a ticket or feature and need a one-pass-ready plan before writing any code.
Помогает совместно прояснить задачу, проверить идею, найти корневую причину проблемы или выбрать подход без реализации. Используй, когда пользователь просит обсудить задачу, разобраться в проблеме, сравнить варианты или задаёт вопросы «что думаешь?» и «как лучше сделать?». Не используй, когда пользователь явно просит составить план, реализовать задачу, проверить изменения кода или сохранить знания проекта.
Run one dev-loop session as the driver - preflight, select, one spec end to end. Harness-generic - grooming drafts and takes run in fresh native subagents of whatever harness drives, takes in their own worktrees (an explicit invocation request may route takes through a runner file instead); the gate stays yours.
Use only when explicitly invoked for a concrete output or authorized file or code change where latency is worth reduced exploration, accuracy, completeness, and proof breadth.
Use when answering, explaining, comparing, or guiding conversationally, or when generating and choosing among possible directions, before creating artifacts or mutating state.