155 lines
4.2 KiB
Python
155 lines
4.2 KiB
Python
#!/usr/bin/env python3
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import argparse
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import json
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from datetime import date
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from pathlib import Path
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from render_reference_scan import render_reference_scan
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from render_skill_overview import render_skill_overview
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SKILL_TEMPLATE = """---
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name: {name}
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description: {description}
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---
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# {title}
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## Workflow
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1. Understand the request.
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2. Execute the main task.
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3. Validate the result.
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"""
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README_TEMPLATE = """# {title}
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## What It Does
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`{name}` is a reusable skill package for this job:
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> {description}
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## How To Use
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1. Load the skill through `SKILL.md`.
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2. Follow the workflow steps in `SKILL.md`.
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3. Check `reports/skill-overview.html` if you want a fast visual explanation of the package.
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## Package Map
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- `SKILL.md`: trigger and workflow entrypoint
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- `agents/interface.yaml`: portable interface metadata
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- `manifest.json`: lifecycle and packaging metadata
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- `reports/skill-overview.html`: visual overview report
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"""
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INTERFACE_TEMPLATE = """interface:
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display_name: "{title}"
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short_description: "{short_description}"
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default_prompt: "Use ${name} when you need to {default_prompt}."
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compatibility:
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canonical_format: "agent-skills"
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adapter_targets:
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- "openai"
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- "claude"
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- "generic"
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activation:
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mode: "manual"
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paths: []
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execution:
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context: "inline"
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shell: "bash"
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trust:
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source_tier: "local"
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remote_inline_execution: "forbid"
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remote_metadata_policy: "allow-metadata-only"
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degradation:
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openai: "metadata-adapter"
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claude: "neutral-source-plus-adapter"
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generic: "neutral-source"
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"""
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def build_manifest(name: str) -> dict:
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return {
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"name": name,
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"version": "0.1.0",
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"owner": "Yao Team",
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"updated_at": str(date.today()),
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"status": "active",
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"maturity_tier": "scaffold",
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"lifecycle_stage": "scaffold",
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"context_budget_tier": "scaffold",
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"review_cadence": "per-release",
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"target_platforms": [
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"openai",
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"claude",
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"generic",
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"agent-skills-compatible",
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],
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"factory_components": [
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"references",
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"scripts",
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"reports",
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],
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}
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def main() -> None:
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parser = argparse.ArgumentParser(description="Initialize a minimal skill package.")
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parser.add_argument("name", help="skill folder and frontmatter name")
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parser.add_argument("--description", default="Describe what the skill does and when to use it.")
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parser.add_argument("--title", default=None)
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parser.add_argument("--output-dir", default=".")
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args = parser.parse_args()
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title = args.title or args.name.replace("-", " ").title()
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root = Path(args.output_dir).resolve() / args.name
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(root / "agents").mkdir(parents=True, exist_ok=True)
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(root / "references").mkdir(exist_ok=True)
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(root / "scripts").mkdir(exist_ok=True)
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(root / "reports").mkdir(exist_ok=True)
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(root / "SKILL.md").write_text(SKILL_TEMPLATE.format(name=args.name, description=args.description, title=title), encoding="utf-8")
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(root / "README.md").write_text(
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README_TEMPLATE.format(name=args.name, description=args.description, title=title),
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encoding="utf-8",
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)
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(root / "agents" / "interface.yaml").write_text(
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INTERFACE_TEMPLATE.format(
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name=args.name,
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title=title,
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short_description=args.description[:80],
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default_prompt=args.description.rstrip("."),
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),
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encoding="utf-8",
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)
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(root / "manifest.json").write_text(
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json.dumps(build_manifest(args.name), ensure_ascii=False, indent=2),
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encoding="utf-8",
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)
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overview = render_skill_overview(root)
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reference_scan = render_reference_scan(root, [])
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print(
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json.dumps(
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{
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"ok": True,
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"root": str(root),
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"artifacts": {
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"readme": str(root / "README.md"),
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"manifest": str(root / "manifest.json"),
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**overview["artifacts"],
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**reference_scan["artifacts"],
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},
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},
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ensure_ascii=False,
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indent=2,
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)
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)
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if __name__ == "__main__":
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main()
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