بنقرة واحدة
summarize-docs
Run and integrate Skillz MCP server with Docker for skill execution.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Run and integrate Skillz MCP server with Docker for skill execution.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Conversational skill that interviews users to design new agentic workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Analyze and reduce token consumption in agentic workflows — guardrail-specific entry points, measurement, and optimization techniques.
Implement secret-safe HTTP headers for MCP transport in gh-aw.
Review code that performs git or gh operations against repository checkouts in gh-aw, checking that the right credentials are available at the right time and that sparseness, shallowness and credential-free factors are properly considered.
Teach Copilot how to plan, address, and respond to pull request review feedback.
| description | Run and integrate Skillz MCP server with Docker for skill execution. |
Skillz is an MCP server that turns Claude-style skills (SKILL.md plus optional resources) into callable tools for MCP clients. It discovers skills, exposes instructions/resources, and runs bundled helper scripts.
Repository: https://github.com/intellectronica/skillz
⚠️ Experimental proof-of-concept. Potentially unsafe. Treat skills like untrusted code and run in sandboxes/containers. Use at your own risk.
To use Skillz with GitHub Agentic Workflows, add it as an MCP server in your workflow frontmatter:
on: issues
engine: copilot
mcp-servers:
skillz:
container: "intellectronica/skillz"
args:
- "-v"
- "/path/to/skills:/skillz"
- "/skillz"
# Your workflow with skills
Use skills from the skillz server to accomplish tasks.
Key points:
/path/to/skills with the actual path to your skills directory/skillz inside the container/skillz as the argument to tell skillz where to find skillsSkillz looks for skills inside the root directory you provide (defaults to ~/.skillz). Each skill lives in its own folder or zip archive that includes a SKILL.md file with YAML front matter.
skills/
├── summarize-docs/
│ ├── SKILL.md
│ ├── summarize.py
│ └── prompts/example.txt
├── translate.zip
└── web-search/
└── SKILL.md
Each skill folder must contain:
SKILL.md - Required file with YAML frontmatter describing the skillExample SKILL.md:
name: summarize-docs
description: Summarize documentation files
# Document Summarization Skill
This skill helps summarize long documentation files.
Use the provided `summarize.py` script to process documents.
Skills can be packaged as .zip archives:
translate.zip
├── SKILL.md
└── helpers/
└── translate.js
Or with a top-level directory:
data-cleaner.zip
└── data-cleaner/
├── SKILL.md
└── clean.py
For compatibility with Claude Code, use a flat directory structure where every immediate subdirectory is a single skill:
skills/
├── hello-world/
│ ├── SKILL.md
│ └── run.sh
└── summarize-text/
├── SKILL.md
└── run.py
Limitations: No nested directories, no .zip files.
Skillz supports nested directories and .zip files:
skills/
├── text-tools/
│ └── summarize-text/
│ ├── SKILL.md
│ └── run.py
└── image-processing.zip
Note: This layout is NOT compatible with Claude Code.
When using Docker, you can pass environment variables to skills:
mcp-servers:
skillz:
container: "intellectronica/skillz"
args:
- "-v"
- "/path/to/skills:/skillz"
- "/skillz"
env:
API_KEY: "${{ secrets.SKILL_API_KEY }}"
Enable verbose logging for debugging:
mcp-servers:
skillz:
container: "intellectronica/skillz"
args:
- "-v"
- "/path/to/skills:/skillz"
- "/skillz"
- "--verbose"