Loading...
Loading...
Found 11,954 Skills
Generate AI-agent-first CLIs from any API (OpenAPI, GraphQL, or browser-sniffed) with SQLite sync, compound commands, and MCP servers
Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally
Lossless Context Management plugin for Hermes Agent with DAG-based compression and drill-down tools
Curated collection of 1209+ best OpenClaw AI agent skills, weekly updated by MyClaw.ai
Use when scaffolding a new repository (public or private) to the Patina Project baseline, when realigning an existing repository with that baseline, or when auditing or adding commit conventions, PR templates, husky + commitlint, PNPM tooling, release-please, agent docs (AGENTS.md, CLAUDE.md), or AI agent plugin manifests for Claude Code, Codex, Cursor, Windsurf, and Copilot. Triggers on phrases like "scaffold this repo", "scaffold a Patina plugin", "realign with the baseline", "audit our repo conventions", "set up commitlint and husky", or "add Codex/Cursor/Windsurf surfaces".
A collection of Agent Skills for the Stitch MCP server: generate high-fidelity UI screens, create multi-page websites from a single prompt, produce DESIGN.md documentation, enhance vague UI prompts, convert designs to React/shadcn-ui components, and generate walkthrough videos via Remotion. Use when the user needs AI-assisted UI design generation, prompt refinement, or screen-to-code workflows. Triggers on: stitch, stitch-design, stitch-loop, enhance-prompt, react-components, remotion, shadcn-ui, screen generation, ui generation.
Wren Engine CLI workflow guide for AI agents. Answer data questions end-to-end using the wren CLI: gather schema context, recall past queries, write SQL through the MDL semantic layer, execute, and learn from confirmed results. Use when: user asks a data question, requests a report or analysis, asks about metrics, revenue, customers, orders, trends, or any business data; user says 'how many', 'show me', 'what is the', 'top N', 'compare', 'trend', 'growth', 'breakdown'; user wants to explore, analyze, filter, aggregate, or summarize data from a database; agent needs to query data, connect a data source, handle errors, or manage MDL changes via the wren CLI.
Configure an AI agent to send OpenTelemetry traces to Coval. Use when a user wants to add Coval tracing, instrument an agent for simulations or conversation monitoring, make traces show up in Coval, handle SIP/PSTN/WebSocket trace correlation, or replace the one-command wizard with a security-reviewable manual setup.
Build a complete test suite with test set and test cases for evaluating an AI agent. Guides through test set type selection, scenario design using vertical-specific templates, expected behavior crafting, and bulk creation. Use when user says "create test cases", "build test suite", "add test scenarios", "set up evaluation tests", or "design test cases".
Design and create a simulation persona for testing an AI agent. Guides through use case selection, voice and language configuration, behavior prompt crafting, and interruption calibration. Use when user says "create a persona", "design a persona", "set up a test persona", "configure simulation persona", or "build a caller profile".
Interactively set up a first Coval AI evaluation. Guides users through installing the CLI, connecting an agent, creating personas, building test cases, selecting metrics, and launching their first eval run. Use when user says "onboard", "get started", "set up evaluation", "first eval", "new to coval", or wants help creating their first test run.
Retrieve and analyze simulation results from a Coval run. Use when user wants to review evaluation outcomes or debug agent behavior.