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Found 10,591 Skills
Creates PRDs using persistent file-based planning. Use when user explicitly says "PRD", "product requirements document", or "产品需求文档". Combines PRD methodology with planning-with-files to avoid context switching.
Use when the user asks for a code review by a fleet of specialized reviewer agents, wants multiple independent reviewer perspectives, or asks to run reviewers in single-pass or iterative fix-until-clean mode. Launches focused subagents for correctness, security, architecture, conventions, simplicity, UX, reliability, telemetry, testing, compatibility, and documentation review.
Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows.
Give your AI agent eyes to see the entire internet. Read and search across Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, RSS, and any web page — all from a single CLI. Use when: (1) reading content from URLs (tweets, Reddit posts, articles, videos), (2) searching across platforms (web, Twitter, Reddit, GitHub, YouTube, Bilibili, XiaoHongShu), (3) checking channel health or updating Agent Reach. Triggers: "search Twitter/Reddit/YouTube", "read this URL", "find posts about", "搜索", "读取", "查一下", "看看这个链接".
Container escape playbook. Use when operating inside a Docker container, LXC, or Kubernetes pod and need to escape to the host via privileged mode, capabilities, Docker socket, cgroup abuse, namespace tricks, or runtime vulnerabilities.
Validate positioning, authority, and messaging strategy using Expert Secrets principles. Assess Attractive Character, Big Domino, and New Opportunity framing. Activates for "validate my positioning" or authority assessment.
Explore consciousness, mental states, and mind-body relations. Use for: hard problem of consciousness, qualia, intentionality, mental causation, personal identity, free will phenomenology, predictive processing, Free Energy Principle. Triggers: 'consciousness', 'qualia', 'mind', 'subjective experience', 'what it is like', 'hard problem', 'explanatory gap', 'zombie', 'Mary's room', 'Nagel', 'Chalmers', 'Dennett', 'Friston', 'Seth', 'Metzinger', 'phenomenal', 'access consciousness', 'self-model', 'interoception', 'predictive processing', 'active inference', 'Markov blanket'.
Extract factual claims from PR copy, verify each claim independently, attach concrete citations, and warn when certainty is low. Runs each claim through proven newsroom verification methods (lateral reading, source-tier climbing, provenance pillars, triangulation, calibrated rating) and puts the burden of proof on the speaker. Use before a pitch, press release, reactive comment, DM, or other journalist-facing draft is trusted or sent.
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
typescript-eslint - ESLint plugin for TypeScript USE WHEN: user mentions "typescript-eslint", "TypeScript linting", "type-aware rules", asks about "no-floating-promises", "TypeScript ESLint config", "@typescript-eslint rules" DO NOT USE FOR: ESLint 9 full setup - use `eslint-biome` skill, Biome - use `eslint-biome`, general quality - use `quality-common`
Create structured change proposals and specification differences using an OpenSpec specification-driven approach. It is used for feature planning, proposal creation, specification writing, introducing new capabilities, or initiating development processes. Trigger words include "openspec proposal", "planning", "create proposal", "plan change", "specify feature", "new feature", "new characteristic", "new requirement", "add feature planning", "design specification"