Skill Export

# XML format (default)
sklab prompt ./my-skill

# Markdown format
sklab prompt ./my-skill --format markdown

# JSON format
sklab prompt ./my-skill --format json

# Export all skills in a directory
sklab prompt ./skill-a ./skill-b ./skill-c

# Pipe to file
sklab prompt ./skill-* > skills-prompt.xml

# Export current directory as a skill
sklab prompt

sklab prompt ./skill-a ./skill-b

<system>
You are a helpful coding assistant.

The following skills are available:

<available_skills>
<skill>
<name>run-python-tests</name>
<description>Execute pytest test suite for Python projects.</description>
<location>file:///path/to/.claude/skills/run-python-tests</location>
</skill>
</available_skills>

When the user's request matches a skill, invoke it by loading the SKILL.md from the location.
</system>

sklab prompt ./skill-a ./skill-b --format markdown

sklab prompt ./skill-a ./skill-b --format json

sklab prompt ./skill-a ./skill-b

# 2 skill(s), ~87 discovery tokens

import subprocess
import anthropic

# Generate skill prompt
result = subprocess.run(
    ["sklab", "prompt", "./my-skill", "--format", "xml"],
    capture_output=True,
    text=True
)
skills_xml = result.stdout

# Inject into system prompt
system_prompt = f"""
You are a helpful coding assistant.

The following skills are available:

{skills_xml}

When the user's request matches a skill, invoke the skill by reading SKILL.md from the location.
"""

client = anthropic.Anthropic()
message = client.messages.create(
    model="claude-sonnet-4-5-20250929",
    max_tokens=1024,
    system=system_prompt,
    messages=[{"role": "user", "content": "Run the tests"}]
)

import subprocess
from langchain.prompts import PromptTemplate

# Generate skill prompt (Markdown)
result = subprocess.run(
    ["sklab", "prompt", "./skill-a", "./skill-b", "-f", "markdown"],
    capture_output=True,
    text=True
)
skills_md = result.stdout

# Create LangChain prompt template
template = f"""
You are a helpful assistant. The following skills are available:

{skills_md}

User request: {{user_input}}

If the request matches a skill, use that skill. Otherwise, respond normally.
"""

prompt = PromptTemplate(
    input_variables=["user_input"],
    template=template
)

import subprocess
import json
from pathlib import Path

def load_skills_metadata():
    """Load skill metadata from sklab prompt command."""
    result = subprocess.run(
        ["sklab", "prompt", "./skills/*", "--format", "json"],
        capture_output=True,
        text=True
    )
    data = json.loads(result.stdout)
    return data["available_skills"]

def find_skill_by_name(name: str):
    """Find skill location by name."""
    skills = load_skills_metadata()
    for skill in skills:
        if skill["name"] == name:
            return Path(skill["location"])
    return None

def load_skill_content(name: str) -> str:
    """Load full SKILL.md content for a skill."""
    skill_path = find_skill_by_name(name)
    if skill_path:
        skill_md = skill_path / "SKILL.md"
        return skill_md.read_text(encoding="utf-8")
    raise ValueError(f"Skill not found: {name}")

# Usage
skill_content = load_skill_content("run-python-tests")
print(skill_content)

#!/bin/bash
# generate-agent-prompt.sh

# Discover all skills in .claude/skills/
SKILLS=$(find .claude/skills -mindepth 1 -maxdepth 1 -type d)

# Export as XML
sklab prompt $SKILLS > agent-skills.xml

echo "Exported $(echo $SKILLS | wc -w) skills to agent-skills.xml"

# Agent 1: Testing specialist
sklab prompt ./testing-skills/* > testing-agent-skills.xml

# Agent 2: Deployment specialist  
sklab prompt ./deployment-skills/* > deploy-agent-skills.xml

# Agent 3: Generalist
sklab prompt ./all-skills/* > general-agent-skills.xml

sklab prompt ./marketplace/skills/* --format json > skill-catalog.json

sklab prompt ./project-skills/* --format markdown > SKILLS.md

# .github/workflows/deploy-agent.yml
name: Deploy Agent with Skills

on: [push]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.11'
      
      - name: Install sklab
        run: pip install skill-lab
      
      - name: Export skills
        run: sklab prompt ./.claude/skills/* > skills.xml
      
      - name: Deploy agent
        run: ./deploy-agent.sh --skills skills.xml

sklab prompt ./skill-a ./skill-b ./skill-c
# Output: 3 skill(s), ~210 discovery tokens

sklab info ./my-skill

╭─────────────────── my-skill ───────────────────╮
│ Description: Execute pytest test suite        │
│ License:     MIT                               │
│                                                │
│ Structure:   scripts/ references/              │
│ Body:        47 lines                          │
│                                                │
│ Tokens (estimated):                            │
│   Discovery:   ~42 tokens (name + description) │
│   Activation:  ~487 tokens (full SKILL.md)     │
╰────────────────────────────────────────────────╯