Files
yao-meta-skill/scripts/init_skill.py
T
2026-04-06 17:29:45 +08:00

155 lines
4.2 KiB
Python

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