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Found 1,212 Skills
Use when the requested deliverable includes creating, reviewing, moving, splitting, or updating a repository AGENTS.md; produces scoped repo guidance. Do not trigger for standalone skills, prompts, non-AGENTS instruction files, READMEs, changelogs, or architecture docs.
Guide for building WebMCP tools — client-side JavaScript tools that expose web application functionality to AI agents via the browser's navigator.modelContext API.
Secret safety for AWS Secrets Manager, secret management, credentials, API keys, tokens, and passwords. Prevents AI agents from directly fetching secret values and teaches runtime dynamic references with asm-exec so plaintext never enters the LLM context window.
Manage RVF (Ruflo Vector Format) files for portable agent memory and cross-platform transfer
Control and interact with Chrome browser via agent-browser-cli for tab management, page automation, CDP operations, and content extraction.
Fully offline speech-to-text via the Vosk library — streaming recognition, 16 kHz PCM, no network required after model download.
Use this skill whenever the user is working with the Pydantic AI framework — including building AI agents, defining structured outputs with Pydantic models, wiring up tools/function calling, configuring model providers (OpenAI, Anthropic, Gemini, etc.), managing dependencies via agent context, handling streaming responses, or debugging agent runs. Trigger this skill even for adjacent tasks like "how do I make my agent return JSON", "set up a multi-step agent", "add a tool to my agent", or "validate LLM output with Pydantic" — any time Pydantic AI is mentioned or implied as the target framework.
Playwright-based browser automation via Chrome extension + MCP/CLI. Connects to your RUNNING browser (existing logins, cookies, extensions preserved). Use for authenticated flows, stateful web automation, and AI agent browser control without re-logging in.
Local-first, security-first control center for OpenClaw agents — visibility dashboard with readonly defaults, token attribution, collaboration tracing, and safe write operations.
Use when the user asks to "create a metric", "write a metric", "design a metric", "build a metric for", "evaluate agent performance", "measure call quality", "track a KPI", "add a workflow metric", "improve my metric", "fix a metric", "debug metric results", "set up quality scoring", or "what metrics do I need". Also relevant when discussing LLM judge prompts, custom code metrics, evaluation triggers, VALID_SKIP patterns, section extraction, or metric best practices for Cekura voice AI agents. Covers both creating new metrics and reviewing, iterating on, or troubleshooting existing ones.
Universal task dispatcher. Start, route, and execute any task through the development workflow (Steps 0-9). Invoke on every task — /task <description>, /task
Per-conversation cost view — list every session in cost-tracking with started-at, message count, top model, and total cost