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Found 2,174 Skills
Use when writing git commit messages for non-trivial changes — captures decision context (constraints, rejected alternatives, confidence, directives) as structured git trailers so future agents and developers can query project knowledge via git log --trailer=
Check whether your rules file (CLAUDE.md or AGENTS.md) still matches the codebase after recent changes — run before a merge, or fold into your code-review pass. Reports stale/now-false rules, drifted architecture-map entries, and any new invariant worth adding, each with the minimal edit. Advisory and anti-bloat: it keeps the rules file true, never longer than it needs to be.
阿里云百炼联网搜索（web search）入口：为联网搜索 / 网页搜索 / 查最新资讯做路径分发。 先识别当前连接身份：Token Plan（profile `token-plan` 或 base_url host 为 `token-plan.<region>.maas.aliyuncs.com`）→ 模型自带搜索 （`bl text chat --api responses --tool '{"type":"web_search"}'`）；其他 / 默认 → Bailian MCP（`bl search web`）；仅在 MCP 鉴权失败、未开通或传输失败时兜底一次到模型自带搜索。 Token Plan 联网搜索失败、两条路径鉴权混淆的排查也走本技能。 反触发：宿主可完成的 普通问答 / 编程 / 写作 → 不触发；知识库 RAG → bailian-cli （`bl knowledge`）；生图/生视频/语音 → bailian-gen；精调/训练 → bailian-finetune； agents.yaml → bailian-managed-agent。 共享协议（consent / 版本预检 / 鉴权 / 错误上报）在 bailian-protocol；官方安装 `bl skill init`。
Application security testing (AppSec) across a whole product with Strix — decide which asset needs which test (source code, running web app, API, CI pipeline), run it, and turn the results into a ranked remediation plan. Autonomous agents exploit and prove each issue instead of emitting static-analysis alerts, so the plan is ordered by what is actually reachable. Use when the user asks for an application security review or audit, an appsec assessment, vulnerability scanning across their stack, a security review before a launch or a customer security questionnaire, or does not yet know which kind of security test they need.
(NS) NextStage harness face — session boot, artifact layout, AND brownfield prepare. Use whenever the user says /ns-harness, prepare this repo, harness prepare, generate architecture rules, architecture-rules.md, write AGENTS.md, reverse-engineer the codebase, engenharia reversa, brownfield map, or bootstrap brownfield — even if they name ns-harness-prepare, ns-architecture-rules, ns-agent-generator, ns-codebase-reverse-spec, or ns-bootstrap-brownfield. Route to references/prepare.md (full chain) or the matching worker reference. Do NOT use for coding, SDD versions, or GitLab issue execution.
Install a single Skill or a collection of Skills to general Agents, Claude Code, Codex, WorkBuddy, Grok, Hermes Agent, Kiro, Qwen Code, Cline and other Agents. Use this when users request cross-Agent installation, synchronization, viewing, deduplication, or uninstallation of Skills.
Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Guide AI agents through TypeScript coding best practices including type safety, error handling, code organization, and architecture patterns. This skill should be used when generating TypeScript code, reviewing TypeScript files, creating new TypeScript modules, refactoring JavaScript to TypeScript, or when the user asks about TypeScript patterns, types, or coding standards. Keywords: typescript, types, coding standards, best practices, type safety, generics, architecture, refactoring.
Manages context window optimization, session state persistence, and token budget allocation for multi-agent workflows. Use when dealing with token budget management, context window limits, session handoff, state persistence across agents, or /clear strategies. Do NOT use for agent orchestration patterns (use moai-foundation-core instead).
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
Register and manage AI agent identities on Avalanche C-Chain using ERC-8004 (Trustless Agents). Use this skill when the user wants to register an AI agent on-chain, give or read reputation feedback, request validation, or interact with ERC-8004 identity/reputation/validation registries on Avalanche mainnet or Fuji testnet.