Loading...
Loading...
Found 6,620 Skills
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
Agent Skills authoring. Covers SKILL.md format, frontmatter, folders, docs ingestion. Keywords: agentskills.io, SKILL.md.
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
Use when working with error debugging multi agent review
Fully autonomous epic execution. Runs until ALL children are CLOSED. Local mode uses /swarm with runtime-native spawning (Codex sub-agents or Claude teams). Distributed mode uses /swarm --mode=distributed (tmux + Agent Mail) for persistence and coordination. NO human prompts, NO stopping.
Audits AGENTS.md and CLAUDE.md files using execution-first standards. Checks commands, gotchas, and signal-to-noise ratio. Use when asked to audit, review, score, refactor, or improve agent instruction files, fix stale commands, or reduce bloat.
Guide for creating Standard Operating Procedures and SOPs and composite workflows by combining atomic Agent Skills. Use when users want to design, structure, or implement multi-step workflows that orchestrate multiple skills for complex business goals. Transforms loose tool collections into reliable, repeatable business processes.
Validates Claude Code plugins against architectural best practices for Agents, Skills, MCP, and Progressive Disclosure. Use when validating plugin structure, reviewing manifest files, checking frontmatter compliance, or verifying tool invocation patterns.
Multi-agent feature implementation. Spawns independent solver agents that each implement the feature from scratch, then synthesizes the best elements from each. Use when building complex features where you want diverse approaches and comprehensive edge case coverage.
Analyze a codebase to extract its conventions, patterns, and style. Spawns specialized analyzer agents that each focus on one aspect (structure, naming, patterns, testing, frontend). Generates a comprehensive style guide that other skills can reference. Use when starting work on an unfamiliar codebase, or to create explicit documentation of implicit conventions.
Use this skill proactively and automatically after completing ANY development work. AI agent summarizes: what was done, what was changed/improved, and suggests future additions/improvements - all concisely in Korean.