Skill Creator

display_name: 'Skill Creator'
short_description: 'Create or refactor skills with strict validation and packaging.'
default_prompt: 'Help me create or update a skill in this repository.'

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#!/usr/bin/env python3
"""
Generate agents/openai.yaml for a skill.
"""

from __future__ import annotations

import argparse
from pathlib import Path


REQUIRED_KEYS = ("display_name", "short_description", "default_prompt")


def parse_interface_values(values: list[str]) -> dict[str, str]:
    parsed: dict[str, str] = {}
    for item in values:
        if "=" not in item:
            raise ValueError(f"Invalid --interface value: {item}")
        key, value = item.split("=", 1)
        parsed[key.strip()] = value.strip()
    missing = [key for key in REQUIRED_KEYS if not parsed.get(key)]
    if missing:
        raise ValueError(f"Missing required interface fields: {', '.join(missing)}")
    return parsed


def write_openai_yaml(skill_dir: Path, fields: dict[str, str]) -> Path:
    agents_dir = skill_dir / "agents"
    agents_dir.mkdir(parents=True, exist_ok=True)
    target = agents_dir / "openai.yaml"
    lines = [f"{key}: {fields[key]!r}" for key in REQUIRED_KEYS]
    target.write_text("\n".join(lines) + "\n", encoding="utf-8")
    return target


def main() -> int:
    parser = argparse.ArgumentParser(description="Generate agents/openai.yaml")
    parser.add_argument("skill_path", help="Path to the skill directory")
    parser.add_argument(
        "--interface",
        action="append",
        default=[],
        help="Interface values in key=value form; repeat for display_name, short_description, default_prompt",
    )
    args = parser.parse_args()

    skill_dir = Path(args.skill_path).resolve()
    if not skill_dir.exists():
        raise SystemExit(f"Skill directory not found: {skill_dir}")

    try:
        fields = parse_interface_values(args.interface)
    except ValueError as exc:
        raise SystemExit(str(exc))

    path = write_openai_yaml(skill_dir, fields)
    print(f"Wrote {path}")
    return 0


if __name__ == "__main__":
    raise SystemExit(main())

#!/usr/bin/env python3
"""
Initialize a skill with optional resource folders and agent metadata.
"""

from __future__ import annotations

import argparse
from pathlib import Path

from generate_openai_yaml import write_openai_yaml


SKILL_TEMPLATE = """---
name: {skill_name}
description: {description}
---

# {skill_title}

## Overview

Describe what this skill enables and when to use it.

## Workflow

1. Define the concrete user requests this skill should handle.
2. Add only the scripts, references, or assets that make execution more reliable.
3. Keep instructions concise and move deep detail into `references/` when needed.
4. Validate the skill before packaging or publishing it.
"""


EXAMPLE_SCRIPT = """#!/usr/bin/env python3
\"\"\"
Example helper for {skill_name}.
\"\"\"


def main() -> None:
    print("Replace this example with a real script or delete it.")


if __name__ == "__main__":
    main()
"""


EXAMPLE_REFERENCE = """# Reference Notes

Keep long-form details here instead of bloating `SKILL.md`.
"""


def title_case(skill_name: str) -> str:
    return " ".join(part.capitalize() for part in skill_name.split("-"))


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(description="Initialize a skill")
    parser.add_argument("skill_name", help="Hyphen-case skill name")
    parser.add_argument("--path", required=True, help="Output directory")
    parser.add_argument(
        "--resources",
        default="scripts,references,assets",
        help="Comma-separated resource folders to create",
    )
    parser.add_argument(
        "--examples",
        action="store_true",
        help="Create example files in resource folders",
    )
    parser.add_argument(
        "--interface",
        action="append",
        default=[],
        help="Agent metadata values in key=value form",
    )
    return parser.parse_args()


def parse_interface(values: list[str], skill_name: str) -> dict[str, str]:
    parsed: dict[str, str] = {}
    for item in values:
        if "=" not in item:
            raise SystemExit(f"Invalid --interface value: {item}")
        key, value = item.split("=", 1)
        parsed[key.strip()] = value.strip()
    return {
        "display_name": parsed.get("display_name", title_case(skill_name)),
        "short_description": parsed.get(
            "short_description", "Add a concise human-facing summary."
        ),
        "default_prompt": parsed.get(
            "default_prompt", f"Help me use the {skill_name} skill."
        ),
    }


def init_skill(args: argparse.Namespace) -> Path:
    skill_dir = Path(args.path).resolve() / args.skill_name
    if skill_dir.exists():
        raise SystemExit(f"Skill directory already exists: {skill_dir}")

    skill_dir.mkdir(parents=True, exist_ok=False)
    description = "Replace with a concise description of what the skill does and when to use it."
    (skill_dir / "SKILL.md").write_text(
        SKILL_TEMPLATE.format(
            skill_name=args.skill_name,
            description=description,
            skill_title=title_case(args.skill_name),
        ),
        encoding="utf-8",
    )

    resources = {item.strip() for item in args.resources.split(",") if item.strip()}
    if "scripts" in resources:
        scripts_dir = skill_dir / "scripts"
        scripts_dir.mkdir()
        (scripts_dir / "requirements.txt").write_text("", encoding="utf-8")
        if args.examples:
            example = scripts_dir / "example.py"
            example.write_text(EXAMPLE_SCRIPT.format(skill_name=args.skill_name), encoding="utf-8")
            example.chmod(0o755)
    if "references" in resources:
        references_dir = skill_dir / "references"
        references_dir.mkdir()
        if args.examples:
            (references_dir / "notes.md").write_text(EXAMPLE_REFERENCE, encoding="utf-8")
    if "assets" in resources:
        (skill_dir / "assets").mkdir()

    write_openai_yaml(skill_dir, parse_interface(args.interface, args.skill_name))
    return skill_dir


def main() -> int:
    args = parse_args()
    result = init_skill(args)
    print(f"Initialized skill at {result}")
    return 0


if __name__ == "__main__":
    raise SystemExit(main())

#!/usr/bin/env python3
"""
Skill Packager - Creates a distributable zip file of a skill folder

Usage:
    python skill-creator/scripts/package_skill.py <path/to/skill-folder> [output-directory]

Example:
    python skill-creator/scripts/package_skill.py my-skill
    python skill-creator/scripts/package_skill.py my-skill ./dist
"""

import sys
import zipfile
from pathlib import Path
from quick_validate import validate_skill


def package_skill(skill_path, output_dir=None):
    """
    Package a skill folder into a zip file.

    Args:
        skill_path: Path to the skill folder
        output_dir: Optional output directory for the zip file (defaults to current directory)

    Returns:
        Path to the created zip file, or None if error
    """
    skill_path = Path(skill_path).resolve()

    # Validate skill folder exists
    if not skill_path.exists():
        print(f"❌ Error: Skill folder not found: {skill_path}")
        return None

    if not skill_path.is_dir():
        print(f"❌ Error: Path is not a directory: {skill_path}")
        return None

    # Validate SKILL.md exists
    skill_md = skill_path / "SKILL.md"
    if not skill_md.exists():
        print(f"❌ Error: SKILL.md not found in {skill_path}")
        return None

    # Run validation before packaging
    print("🔍 Validating skill...")
    valid, message = validate_skill(skill_path)
    if not valid:
        print(f"❌ Validation failed: {message}")
        print("   Please fix the validation errors before packaging.")
        return None
    print(f"✅ {message}\n")

    # Determine output location
    skill_name = skill_path.name
    if output_dir:
        output_path = Path(output_dir).resolve()
        output_path.mkdir(parents=True, exist_ok=True)
    else:
        output_path = Path.cwd()

    zip_filename = output_path / f"{skill_name}.zip"

    # Create the zip file
    try:
        with zipfile.ZipFile(zip_filename, 'w', zipfile.ZIP_DEFLATED) as zipf:
            # Walk through the skill directory
            for file_path in skill_path.rglob('*'):
                if file_path.is_file():
                    # Calculate the relative path within the zip
                    arcname = file_path.relative_to(skill_path.parent)
                    zipf.write(file_path, arcname)
                    print(f"  Added: {arcname}")

        print(f"\n✅ Successfully packaged skill to: {zip_filename}")
        return zip_filename

    except Exception as e:
        print(f"❌ Error creating zip file: {e}")
        return None


def main():
    if len(sys.argv) < 2:
        print("Usage: python skill-creator/scripts/package_skill.py <path/to/skill-folder> [output-directory]")
        print("\nExample:")
        print("  python skill-creator/scripts/package_skill.py my-skill")
        print("  python skill-creator/scripts/package_skill.py my-skill ./dist")
        sys.exit(1)

    skill_path = sys.argv[1]
    output_dir = sys.argv[2] if len(sys.argv) > 2 else None

    print(f"📦 Packaging skill: {skill_path}")
    if output_dir:
        print(f"   Output directory: {output_dir}")
    print()

    result = package_skill(skill_path, output_dir)

    if result:
        sys.exit(0)
    else:
        sys.exit(1)


if __name__ == "__main__":
    main()

#!/usr/bin/env python3
"""
Strict validation for skill folders.
"""

from __future__ import annotations

import re
import sys
from pathlib import Path


FRONTMATTER_RE = re.compile(r"^---\n(.*?)\n---\n", re.DOTALL)
NAME_RE = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$")
OPENAI_FIELDS = ("display_name", "short_description", "default_prompt")


def _parse_simple_yaml_block(block: str) -> dict[str, str]:
    data: dict[str, str] = {}
    for raw_line in block.splitlines():
        line = raw_line.strip()
        if not line or line.startswith("#"):
            continue
        if ":" not in line:
            raise ValueError(f"Invalid YAML line: {raw_line}")
        key, value = line.split(":", 1)
        key = key.strip()
        value = value.strip()
        if value.startswith(("'", '"')) and value.endswith(("'", '"')) and len(value) >= 2:
            value = value[1:-1]
        data[key] = value
    return data


def validate_skill(skill_path: str | Path) -> tuple[bool, str]:
    """Validate a skill directory."""
    skill_dir = Path(skill_path)

    if not skill_dir.exists() or not skill_dir.is_dir():
        return False, f"Skill directory not found: {skill_dir}"

    skill_md = skill_dir / "SKILL.md"
    if not skill_md.exists():
        return False, "SKILL.md not found"

    try:
        content = skill_md.read_text(encoding="utf-8")
    except UnicodeDecodeError:
        return False, "SKILL.md must be valid UTF-8"

    match = FRONTMATTER_RE.match(content)
    if not match:
        return False, "SKILL.md must start with YAML frontmatter"

    try:
        frontmatter = _parse_simple_yaml_block(match.group(1))
    except ValueError as exc:
        return False, str(exc)

    keys = set(frontmatter.keys())
    if keys != {"name", "description"}:
        extra = sorted(keys - {"name", "description"})
        missing = sorted({"name", "description"} - keys)
        if extra:
            return False, f"Unexpected frontmatter keys: {', '.join(extra)}"
        return False, f"Missing frontmatter keys: {', '.join(missing)}"

    name = frontmatter["name"]
    description = frontmatter["description"]

    if not NAME_RE.match(name):
        return False, "Frontmatter name must be hyphen-case lowercase"
    if name != skill_dir.name:
        return False, f"Frontmatter name '{name}' must match directory name '{skill_dir.name}'"
    if not description or len(description) > 200:
        return False, "Description must be present and 200 characters or fewer"
    if "<" in description or ">" in description:
        return False, "Description cannot contain angle brackets"

    agents_yaml = skill_dir / "agents" / "openai.yaml"
    if not agents_yaml.exists():
        return False, "agents/openai.yaml not found"

    try:
        agent_fields = _parse_simple_yaml_block(agents_yaml.read_text(encoding="utf-8"))
    except UnicodeDecodeError:
        return False, "agents/openai.yaml must be valid UTF-8"
    except ValueError as exc:
        return False, f"Invalid agents/openai.yaml: {exc}"

    missing_fields = [field for field in OPENAI_FIELDS if not agent_fields.get(field)]
    if missing_fields:
        return False, f"agents/openai.yaml missing required fields: {', '.join(missing_fields)}"

    scripts_dir = skill_dir / "scripts"
    if scripts_dir.exists():
        python_files = [path for path in scripts_dir.rglob("*.py") if path.is_file()]
        if python_files and not (scripts_dir / "requirements.txt").exists():
            return False, "scripts/requirements.txt required when Python scripts are present"

    return True, "Skill is valid!"


def main() -> int:
    if len(sys.argv) != 2:
        print("Usage: python quick_validate.py <skill_directory>")
        return 1

    valid, message = validate_skill(sys.argv[1])
    print(message)
    return 0 if valid else 1


if __name__ == "__main__":
    raise SystemExit(main())

# No external dependencies required - uses Python standard library only