所有 Skills
找到 7965 个 Skills
Skills 列表
flags
Use when you need to check feature flag states, compare channels, or debug why a feature behaves differently across release channels.
reactflow
Use when you need to run Flow type checking, or when seeing Flow type errors in React code.
reactfeature-flags
Use when feature flag tests fail, flags need updating, understanding @gate pragmas, debugging channel-specific test failures, or adding new flags to React.
reacttest
Use when you need to run tests for React core. Supports source, www, stable, and experimental channels.
reactverify
Use when you want to validate changes before committing, or when you need to check all React contribution requirements.
reactextract-errors
Use when adding new error messages to React, or seeing "unknown error code" warnings.
reactfix
Use when you have lint errors, formatting issues, or before committing code to ensure it passes CI.
react
fix
当出现 Lint 报错、代码格式问题，或在提交代码前确保能顺利通过 CI 时使用。
facebook
unified-memory
通过本地 ECC 记忆库，在 Claude、Codex、Hermes、Cursor、OpenCode 及其他代理之间共享持久、可检查的上下文和交接信息。当代理需要保存工作状态、转移上下文、恢复另一个代理的任务或搜索共享项目知识时使用。
affaan-mcontract-first
当多个消费方和提供方需要演进 API 或事件模式，且不希望出现字段漂移、集成意外或某一方静默重新定义接口时使用。
affaan-mito-compute
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, validate GPU nodes, revoke Itô access, or rent or purchase GPU compute and needs the supported boundary explained.
affaan-mloop-design-check
Design a goal-oriented agent loop, and review it for the ways loops go wrong — spinning and burning tokens, Goodhart-gaming the verifier, or running a wrong answer to completion. Two actions: (1) WRITE a loop — gate whether to build it, define a machine-decidable goal, pick the loop type, pick a skeleton; (2) REVIEW a loop — run it past five failure modes plus decidability, boundaries, fallback, judge independence, and keep-judgment-with-the-human red lines. Use when designing an autonomous agent loop, or when you already have one and worry it will spin, cheat, or run a wrong answer to the end. Complements the mechanism-layer loop skills (autonomous-loops, continuous-agent-loop) by covering the judgment layer they don't. 中文触发：写 loop、设计 loop、做一个 loop、检查 loop 对不对、loop 体检、loop 会不会跑飞、可判定目标、五个崩法、plan build judge。English triggers: design an agent loop, write a loop, check a loop, loop review, prevent a runaway loop, goal-oriented loop, decidable goal, plan/build/judge.
affaan-mplan-canvas
Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.
affaan-mreact-native-patterns
React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers.
affaan-mecc-recipes
Map a described workflow to the right ECC command-GROUP with run-order and stop condition, and browse all command-group recipe families. Adds a family-grouping + run-order + when-to-stop layer on top of the flat command catalog. Advisory only. TRIGGER when the user says which commands for X, what command group runs X, show ECC recipes, list ECC pipelines, or how do I run a workflow with ECC. DO NOT TRIGGER when the user wants the task executed directly, wants a single-command deep doc (use ecc-guide), or wants a draft prompt rewritten (use prompt-optimizer).
affaan-mgrowth-log
Use after a complex task, failure, or when reviewing what was learned. Teaches how to write growth logs that extract reusable patterns — not diary entries.
affaan-mdelivery-gate
Stop hook that blocks Claude from finishing until quality checks pass. Detects rationalization patterns (surface text heuristics), stale learning logs (filesystem mtime), and low disk space. Complements self-audit by mechanically enforcing learning capture habits. Use when Claude should be mechanically blocked from declaring work finished before quality checks and learning capture actually pass.
affaan-mmailtrap-email-integration
Guides agents through integrating transactional email sending via Mailtrap's Email API, including sandbox testing, domain verification, and API authentication. Use when implementing email-sending features, debugging delivery issues, or setting up safe dev/staging email testing.
affaan-mml-adoption-playbook
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.
affaan-mgenerating-python-installer
Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use when a Python app must ship as a minimal, fast-starting Windows installer; not for basic script-to-exe conversion. 中文触发：Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格
affaan-mteam-agent-orchestration
Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs. Use when coordinating an agent squad with work items, ownership, Kanban, and merge gates.
affaan-mdynamic-workflow-mode
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses. Use when building a task-local harness, adding eval gates, or extracting a reusable skill from ad-hoc work.
affaan-mkubernetes-patterns
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits.
affaan-mcodehealth-mcp
Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR.
affaan-m