Total 56,830 skills, AI & Machine Learning has 9448 skills
Showing 12 of 9448 skills
Create effective skills for OpenCode agents. Load FIRST before writing any SKILL.md. Provides required format, naming conventions, progressive disclosure patterns, and validation. Use when building, reviewing, or debugging skills.
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates.
Build autonomous RAG agents that reason, plan, and use tools for complex retrieval tasks. Use this skill when simple retrieve-and-generate isn't enough. Activate when: agentic RAG, RAG agent, multi-step retrieval, tool-using RAG, autonomous retrieval, query decomposition.
OpenSpec Spec-Driven Development Assistant - An AI-aided programming framework based on the OPSX workflow. Align requirements with AI before writing code, and manage changes using a Schema-driven artifact dependency system. Trigger Conditions: 1. User mentions "openspec", "opsx", or spec-driven development 2. User wants to start new feature development or refactoring 3. User needs to explore complex problems or clarify requirements 4. User complains about AI misunderstanding or frequent rework 5. User uses slash commands such as /opsx:new, /opsx:ff, /opsx:apply, etc. 6. During project initialization or preparation for major changes
Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.
Frames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for coding tasks, refactors, feature builds, bug fixes, or other multi-step execution where scope drift is a risk.
Execute this skill should be used when the user asks about "SPAWN REQUEST format", "agent reports", "agent coordination", "parallel agents", "report format", "agent communication", or needs to understand how agents coordinate within the sprint system. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Create AI evaluation plans with benchmarks, rubrics, and error analysis workflows.
Structured checkpoint format for requesting human input. When an agent needs a decision, it must stop, present context, show options, and wait. Activate when delegating to subagents, running background tasks, or hitting any decision point that requires human judgment.
Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.
Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any inter-agent communication task.
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.