empathic-expressions
Intent-based code interpretation across all languages โ SQL, Python, JS, YAML, Bash, and beyond
Intent-based code interpretation across all languages โ SQL, Python, JS, YAML, Bash, and beyond
Use this skill when creating Model Context Protocol (MCP) servers, adding tools to extend Claude's capabilities, or integrating external APIs as MCP tools.
Deploys a multi-agent swarm (Researcher, Reviewer, Safety Officer) to solve complex biomedical or research tasks in parallel.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
Skills็ใจใผใธใงใณใ้ชจๆ ผ๏ผCLAUDE.md, .github/skills/, .codex/็ญ๏ผใ็ๆใใๅๆ่จญๅฎใๅฎไบใใใใในใฑใซใใณ็ๆใใใจใผใธใงใณใ็ๆใใ้ชจๆ ผไฝๆใใไพ้ ผใใใใจใใซไฝฟ็จใใใ
Applies user feedback to prompts with precision - incorporates feedback intent without over-fitting, maintains information density, prevents regressions. Use when asked to apply feedback, incorporate suggestions, or update a prompt based on user input.
Python์ผ๋ก Claude Agent SDK ์์ด์ ํธ๋ฅผ ๊ตฌ์ถํ ๋ ์ฌ์ฉ. ์ปค์คํ ๋๊ตฌ, ํ , ์๋ธ์์ด์ ํธ, MCP ์ฐ๋ ์ฝ๋๋ฅผ ์์ฑํฉ๋๋ค.
Document for build custom skill for claude code, with full Reference and Example Codes.
Build Model Context Protocol (MCP) servers to extend GitHub Copilot and AI agents with custom tools and data sources
Multi-model ensemble consultation. Runs 3 models in parallel for diverse perspectives.
Subagent๏ผ{{AGENT_CONFIG_DIR}}/agents/*.md๏ผใฎไฝๆใปๆดๆฐใปๅ้คใๅฏพ่ฉฑใง่กใใใใญใณใใใฟใผไปๆงใจๅ่ณชใ็ถญๆใใใพใพๅๆ ใใใSubagentไฝๆใagent่ฟฝๅ ใsubagent updateใไพ้ ผใใใใจใใซไฝฟ็จใใใ
Create custom inspect-ai evaluation tasks through interacted, guided workflow.
Add or change allowed commands in AI agent permission configs (OpenCode, Claude Code)
Guides Claude Code setup and configuration. Use when setting up CLAUDE.md, rules, hooks, or skills structure for projects.
Plan LLM fine-tuning and evaluation experiments. Use when the user wants to design a new experiment, plan training runs, or create an experiment_summary.yaml file.
Skills็ใจใผใธใงใณใ้ชจๆ ผ๏ผCLAUDE.md, .cursor/skills/, .codex/็ญ๏ผใ็ๆใใๅๆ่จญๅฎใๅฎไบใใใใในใฑใซใใณ็ๆใใใจใผใธใงใณใ็ๆใใ้ชจๆ ผไฝๆใใไพ้ ผใใใใจใใซไฝฟ็จใใใ
Creates and manages Claude Code skills. Use when creating new skills, updating existing skills, or converting repeated prompts into reusable skill packages.
Single-agent implementation: executes plans in-place without subagents. Use /implement (default) for complex features; use this for simpler tasks or when subagent overhead is unwanted.