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Found 10,136 Skills
Spec-driven development framework with iterative refinement. Orchestrates feature development from intent to implementation via structured specs and task breakdown. Triggers on "/spec.plan", "/spec.refine", "/spec.clarify", "/spec.tasks", "/spec.run", "I want to build", "I want to add", "create spec", "spec-driven", "feature spec".
Multi-AI Parallel Deep Research. Triggered when users need comprehensive research, in-depth study, multi-party comparison, or comprehensive analysis covering multiple dimensions and sources for a certain topic. Suitable for complex topics (technical selection, competitor analysis, industry trends, controversial topics, etc.), not suitable for simple fact queries. Conduct parallel research through multiple AI services, cross-validate, and output a comprehensive report with citations.
Fan-out search across all memory sources when context is unclear or vaguely referenced. Triggers on: 'from earlier', 'remember when', 'what we discussed', 'that thing with', 'the conversation about', 'did we ever', 'what happened with', 'you mentioned', 'we talked about', 'earlier today', 'last session', 'the other day', or any vague reference to past context that needs resolution before the agent can act.
Use when you need to generate or update `{FEATURE_DIR}/verification/suites.md` (test suite) during the verification phase of Spec Pack, organize test cases into executable sets and define blocking rules and execution order.
Generate and maintain changelogs following Keep a Changelog format. Analyzes git commits, categorizes changes, and produces well-structured release notes.
Create a PR from current commits and/or local changes. Identifies base branch, creates topic branch if needed, commits changes, and opens a PR.
Manages multi-organization appellate amicus briefs with single-pen drafting, coalition sign-offs, conflict triage, and compliant disclosures. Use when coordinating a coalition amicus brief, managing amicus sign-on, handling FRAP 29 or Supreme Court Rule 37.6 disclosures, or preparing cover and interest sections for multiple amici.
Bind addressable evidence IDs from `papers/evidence_bank.jsonl` to each subsection (H3), producing `outline/evidence_bindings.jsonl`. **Trigger**: evidence binder, evidence plan, section->evidence mapping, 证据绑定, evidence_id. **Use when**: `papers/evidence_bank.jsonl` exists and you want writer/auditor to use section-scoped evidence items (WebWeaver-style memory bank). **Skip if**: you are not doing evidence-first section-by-section writing. **Network**: none. **Guardrail**: NO PROSE; do not invent evidence; only select from the existing evidence bank.
This skill should be used when the user asks to "트윗 가져와", "트윗 번역", "X 게시글 읽어줘", "tweet fetch", "트윗 내용", "트윗 원문", or provides an X/Twitter URL (x.com, twitter.com) and wants to read, translate, or analyze the tweet content. Also useful when other skills need to fetch tweet text programmatically.
Create a Plane task in Plane. By default, use the interview skill first to flesh out the issue before creating it; only skip the interview when the user clearly wants a minimal quick capture.
Generate an optimized shopping list from the current meal plan, grouped by store, and send it to Telegram and Discord. Triggers on: /shopping list, /shopping send, /shopping optimize [budget], 'send shopping list', 'what do I need to buy', 'shopping for the week', or after meal planning is complete.
Resolve PR review bot findings on current PR. Fetches unanswered bot comments, evaluates each finding, fixes real bugs, dismisses false positives, replies to every comment, and watches for new findings until bots go quiet.