Total 58,637 skills
Showing 12 of 58637 skills
Actors: The primitive for stateful workloads.
Perform a focused security review of pending git changes to identify high-confidence security vulnerabilities with real exploitation potential. Use this skill when the user asks for a security review, security audit, vulnerability scan, or wants to check pending changes on a branch for security issues before merging. This is NOT a general code review.
Use when managing perf baselines, consolidating results, or comparing versions. Ensures one baseline JSON per version.
Generate and maintain a project's reader-facing documentation in-repo — getting-started, how-to guides, architecture overview, runbooks — with every command verified against the code, in four modes: init, update, audit, and an opt-in publish that mirrors the set to the GitHub wiki. Use when the user says "write docs for this project", "document this repo", "update the docs", "our docs are stale", "write a runbook", "write a getting-started guide", "architecture overview", "sync the docs to the GitHub wiki", or "/wikikit". Not an agent handoff, and not the glossary or ADRs.
Generate and conversationally edit short videos with Google Gemini Omni Flash (`gemini-omni-flash-preview`). Use when: (1) iterating on a clip with natural-language edits instead of regenerating ("make the phone invisible, keep everything else the same"), (2) generating 3-10s 720p clips with synthesized audio, rendered on-screen text, or timecoded beats, (3) binding reference images to roles with <FIRST_FRAME>/<IMAGE_REF_N> prompt tags, (4) editing an existing uploaded video. Accessed via the `gemini_omni_video` tool using the project's GEMINI_API_KEY/GOOGLE_API_KEY — the same key as Imagen and Google TTS.
Use when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity, sameAs, schema, disambiguation, and AI-recognition evidence through the entities registry. Not for page-level AI-citation readiness - use geo-content-optimizer; not for human-facing brand canon - use narrative-registry. 实体注册/知识图谱
Run /test to write a test suite for code you just built or changed, after implementing a feature, route, or fix. Targets uncommitted changes automatically, reads test preferences.json for your framework (asks and saves it if absent), and picks the right strategy per file: happy path, edge cases, error states, accessibility.
This skill should be used when the user asks about Stripe Connect configuration, charge patterns, dashboard access, or how to get started with Connect, is building a marketplace, platform, multi-vendor store, gig platform, or subscription platform, needs to pay out sellers, vendors, or providers, mentions split payments, revenue sharing, multi-party payments, or similar payment distribution concepts, provides a company URL or business description for a recommendation, builds SaaS that routes money between parties (e.g. POS, booking, invoicing — not operational SaaS without payment routing), asks about onboarding or KYC for merchants/sellers/vendors, mentions connected account dashboard or responsibility configurations, or asks about payment flows, white-label payments, or embedded payments.
Synthesize a recurring code-review rule into a custom lint rule — gated by an independent soundness test that abstains rather than ship a checker it can't prove sound
Produces distinctive, production-grade UI for pages, components, visual interfaces, typography, and screenshot-driven polish. Use when users ask in any language for UI, page, component, frontend, typography, screenshot-grounded visual polish, or complaints that a screen looks unclear, ugly, inconsistent, or visually wrong. Not for backend logic or data pipelines.
Web3 project intel: investors, funding rounds, rankings, personnel moves. Use when researching a crypto project or dealflow (e.g. who funded Berachain, latest seed rounds, recent VC team moves).
Shared vocabulary for designing deep modules. Suitable for users who want to design or improve module interfaces, identify deepening opportunities, decide where to place seams, make code easier to test or more navigable for AI, or when other skills require vocabulary for deep modules.