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Found 2,162 Skills
Focused interactive tutor for the Reverse Engineering path in AI Engineering from Scratch. Start or resume this route when a learner wants to read a compiled program: file formats, disassembly, control flow, lifting, evidence, proof, calling conventions, compiler idioms, linking, types, debugging, bytecode, diffing, symbolic execution, and AI-assisted analysis. Teaches one lesson per invocation and records evidence in REVERSE-ENGINEERING-LEARNING.md.
Analyzes a codebase for software testing fitness, producing scores (1-10) across test pyramid balance, test quality, coverage strategy, performance testing, debugging support, and CI integration. Use when the user says /review:review-testing, requests a test quality review, asks about testing strategy, wants test pyramid analysis, asks about QA practices, or needs testing fitness scores before shipping. Only reports findings with confidence >= 7/10.
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production. Use when: langfuse, llm observability, llm tracing, prompt management, llm evaluation.
WatermelonDB models, observation patterns, and React integration. Use when writing or debugging model code, observers (findAndObserve, query.observe), or screens that display live-updating DB data.
Implement request logging, tracing, and observability. Use for debugging, monitoring, and production observability.
MCP server building, advanced patterns, and security hardening. Use when building MCP servers, implementing tool handlers, adding authentication, creating interactive UIs, hardening MCP security, or debugging MCP integrations.
Retrieve plan and apply logs from Terraform Cloud runs. Use when examining TFC run output, debugging failed plans/applies, or reviewing infrastructure changes. Requires TFE_TOKEN environment variable.
Build, integrate, and troubleshoot SharePlay GroupActivities features, including GroupActivity definitions, activation flows, GroupSession lifecycle, messaging and journals, ShareLink and SharePlay UI surfaces, and visionOS spatial coordination. Use when implementing or debugging SharePlay experiences across Apple platforms, especially visionOS.
Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.
Explains JavaScript bundling, code splitting, chunking strategies, tree shaking, and build pipelines. Use when optimizing bundle size, understanding how modern build tools work, configuring Webpack/Vite/esbuild, or debugging build output.
Designs and implements testing strategies for any codebase. Use when adding tests, improving coverage, setting up testing infrastructure, debugging test failures, or when asked about unit tests, integration tests, or E2E testing.
Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: "connect to API", "add gateway", "connect to MCP server", "Lambda tools", "OpenAPI", "gateway target", "Cedar policy", "restrict tools", "policy engine", "gateway auth error", "store API key", "outbound credential", "env var API key", "API key None after deploy", "credential not available after deploy", "should this be a gateway target", "give my agent tools", "add tools to agent". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.