Total 56,723 skills, AI & Machine Learning has 9434 skills
Showing 12 of 9434 skills
Prompt engineering patterns including structured prompts, chain-of-thought, few-shot learning, and system prompt design
Invoke Codex as a coworker for implementation, brainstorming, specs, and reviews. Use when you want parallel thinking, cheap execution, or a second opinion. Codex tokens are cheaper than yours — delegate aggressively. Keywords: codex, delegate, implement, draft, review, brainstorm, write tests, code review, moonbridge.
A clear description of what this skill does and when Claude should use it. Include trigger phrases like "when asked to...", "use when...", or specific keywords that should activate this skill.
Skill for creating Lucid agents with JavaScript handler code. Shows three options: MCP tool with SIWE, SDK with your wallet, or viem with custom signing. Teaches JS handler code contract, paymentsConfig, and identityConfig. Activate when: user wants to create Lucid agents with inline JS handlers (no generate API, no self-hosting). The agent will be hosted on the Lucid platform.
Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".
Guidelines for writing Agent Skills. TRIGGERS: create a skill, new skill, write a skill, skill template, skill structure, review skill, skill PR, skill compliance, agentskills spec, SKILL.md format, skill frontmatter, skill best practices
Query and update Lee's goals graph through natural language. Translates conversational questions and updates into goals_query.py commands.
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
TDD-style testing methodology for skills using fresh subagent instances to prevent priming bias and validate skill effectiveness. Use when validating skill improvements, testing skill effectiveness, preventing priming bias, measuring skill impact on behavior. Do not use when implementing skills (use skill-authoring instead), creating hooks (use hook-authoring instead).
Shared foundation for Oracle & Corrector agents. Establishes the source hierarchy for resolving conflicts between documentation, code, and specs. Load this skill first when investigating how the system works.
Local text-to-speech on Ubuntu using Kokoro TTS with fallbacks. Use when the user asks to speak text out loud, test audio output, switch Kokoro voices, or debug TTS playback issues. Triggers on "say this", "read aloud", "speak", "TTS", "voice test".
Use when the user says "vm", "voice mode", "team", "coordinate", or needs to orchestrate multiple agents working on related tasks in parallel