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This commit is contained in:
Danilo Reyes
@@ -1,226 +0,0 @@
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#!/usr/bin/env python3
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"""
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OpenAI YAML Generator - Creates agents/openai.yaml for a skill folder.
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Usage:
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generate_openai_yaml.py <skill_dir> [--name <skill_name>] [--interface key=value]
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"""
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import argparse
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import re
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import sys
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from pathlib import Path
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ACRONYMS = {
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"GH",
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"MCP",
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"API",
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"CI",
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"CLI",
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"LLM",
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"PDF",
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"PR",
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"UI",
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"URL",
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"SQL",
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}
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BRANDS = {
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"openai": "OpenAI",
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"openapi": "OpenAPI",
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"github": "GitHub",
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"pagerduty": "PagerDuty",
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"datadog": "DataDog",
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"sqlite": "SQLite",
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"fastapi": "FastAPI",
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}
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SMALL_WORDS = {"and", "or", "to", "up", "with"}
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ALLOWED_INTERFACE_KEYS = {
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"display_name",
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"short_description",
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"icon_small",
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"icon_large",
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"brand_color",
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"default_prompt",
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}
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def yaml_quote(value):
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escaped = value.replace("\\", "\\\\").replace('"', '\\"').replace("\n", "\\n")
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return f'"{escaped}"'
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def format_display_name(skill_name):
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words = [word for word in skill_name.split("-") if word]
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formatted = []
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for index, word in enumerate(words):
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lower = word.lower()
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upper = word.upper()
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if upper in ACRONYMS:
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formatted.append(upper)
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continue
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if lower in BRANDS:
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formatted.append(BRANDS[lower])
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continue
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if index > 0 and lower in SMALL_WORDS:
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formatted.append(lower)
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continue
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formatted.append(word.capitalize())
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return " ".join(formatted)
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def generate_short_description(display_name):
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description = f"Help with {display_name} tasks"
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if len(description) < 25:
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description = f"Help with {display_name} tasks and workflows"
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if len(description) < 25:
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description = f"Help with {display_name} tasks with guidance"
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if len(description) > 64:
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description = f"Help with {display_name}"
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if len(description) > 64:
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description = f"{display_name} helper"
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if len(description) > 64:
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description = f"{display_name} tools"
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if len(description) > 64:
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suffix = " helper"
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max_name_length = 64 - len(suffix)
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trimmed = display_name[:max_name_length].rstrip()
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description = f"{trimmed}{suffix}"
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if len(description) > 64:
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description = description[:64].rstrip()
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if len(description) < 25:
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description = f"{description} workflows"
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if len(description) > 64:
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description = description[:64].rstrip()
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return description
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def read_frontmatter_name(skill_dir):
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skill_md = Path(skill_dir) / "SKILL.md"
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if not skill_md.exists():
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print(f"[ERROR] SKILL.md not found in {skill_dir}")
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return None
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content = skill_md.read_text()
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match = re.match(r"^---\n(.*?)\n---", content, re.DOTALL)
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if not match:
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print("[ERROR] Invalid SKILL.md frontmatter format.")
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return None
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frontmatter_text = match.group(1)
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import yaml
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try:
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frontmatter = yaml.safe_load(frontmatter_text)
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except yaml.YAMLError as exc:
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print(f"[ERROR] Invalid YAML frontmatter: {exc}")
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return None
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if not isinstance(frontmatter, dict):
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print("[ERROR] Frontmatter must be a YAML dictionary.")
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return None
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name = frontmatter.get("name", "")
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if not isinstance(name, str) or not name.strip():
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print("[ERROR] Frontmatter 'name' is missing or invalid.")
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return None
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return name.strip()
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def parse_interface_overrides(raw_overrides):
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overrides = {}
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optional_order = []
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for item in raw_overrides:
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if "=" not in item:
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print(f"[ERROR] Invalid interface override '{item}'. Use key=value.")
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return None, None
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key, value = item.split("=", 1)
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key = key.strip()
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value = value.strip()
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if not key:
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print(f"[ERROR] Invalid interface override '{item}'. Key is empty.")
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return None, None
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if key not in ALLOWED_INTERFACE_KEYS:
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allowed = ", ".join(sorted(ALLOWED_INTERFACE_KEYS))
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print(f"[ERROR] Unknown interface field '{key}'. Allowed: {allowed}")
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return None, None
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overrides[key] = value
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if key not in ("display_name", "short_description") and key not in optional_order:
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optional_order.append(key)
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return overrides, optional_order
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def write_openai_yaml(skill_dir, skill_name, raw_overrides):
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overrides, optional_order = parse_interface_overrides(raw_overrides)
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if overrides is None:
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return None
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display_name = overrides.get("display_name") or format_display_name(skill_name)
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short_description = overrides.get("short_description") or generate_short_description(display_name)
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if not (25 <= len(short_description) <= 64):
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print(
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"[ERROR] short_description must be 25-64 characters "
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f"(got {len(short_description)})."
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)
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return None
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interface_lines = [
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"interface:",
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f" display_name: {yaml_quote(display_name)}",
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f" short_description: {yaml_quote(short_description)}",
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]
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for key in optional_order:
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value = overrides.get(key)
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if value is not None:
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interface_lines.append(f" {key}: {yaml_quote(value)}")
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agents_dir = Path(skill_dir) / "agents"
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agents_dir.mkdir(parents=True, exist_ok=True)
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output_path = agents_dir / "openai.yaml"
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output_path.write_text("\n".join(interface_lines) + "\n")
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print(f"[OK] Created agents/openai.yaml")
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return output_path
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def main():
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parser = argparse.ArgumentParser(
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description="Create agents/openai.yaml for a skill directory.",
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)
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parser.add_argument("skill_dir", help="Path to the skill directory")
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parser.add_argument(
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"--name",
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help="Skill name override (defaults to SKILL.md frontmatter)",
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)
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parser.add_argument(
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"--interface",
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action="append",
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default=[],
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help="Interface override in key=value format (repeatable)",
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)
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args = parser.parse_args()
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skill_dir = Path(args.skill_dir).resolve()
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if not skill_dir.exists():
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print(f"[ERROR] Skill directory not found: {skill_dir}")
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sys.exit(1)
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if not skill_dir.is_dir():
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print(f"[ERROR] Path is not a directory: {skill_dir}")
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sys.exit(1)
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skill_name = args.name or read_frontmatter_name(skill_dir)
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if not skill_name:
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sys.exit(1)
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result = write_openai_yaml(skill_dir, skill_name, args.interface)
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if result:
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sys.exit(0)
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sys.exit(1)
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if __name__ == "__main__":
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main()
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@@ -3,14 +3,13 @@
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Skill Initializer - Creates a new skill from template
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Usage:
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init_skill.py <skill-name> --path <path> [--resources scripts,references,assets] [--examples] [--interface key=value]
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init_skill.py <skill-name> --path <path> [--resources scripts,references,assets] [--examples]
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Examples:
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init_skill.py my-new-skill --path skills/public
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init_skill.py my-new-skill --path skills/public --resources scripts,references
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init_skill.py my-api-helper --path skills/private --resources scripts --examples
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init_skill.py custom-skill --path /custom/location
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init_skill.py my-skill --path skills/public --interface short_description="Short UI label"
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"""
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import argparse
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@@ -18,8 +17,6 @@ import re
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import sys
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from pathlib import Path
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from generate_openai_yaml import write_openai_yaml
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MAX_SKILL_NAME_LENGTH = 64
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ALLOWED_RESOURCES = {"scripts", "references", "assets"}
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@@ -255,7 +252,7 @@ def create_resource_dirs(skill_dir, skill_name, skill_title, resources, include_
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print("[OK] Created assets/")
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def init_skill(skill_name, path, resources, include_examples, interface_overrides):
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def init_skill(skill_name, path, resources, include_examples):
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"""
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Initialize a new skill directory with template SKILL.md.
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@@ -296,15 +293,6 @@ def init_skill(skill_name, path, resources, include_examples, interface_override
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print(f"[ERROR] Error creating SKILL.md: {e}")
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return None
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# Create agents/openai.yaml
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try:
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result = write_openai_yaml(skill_dir, skill_name, interface_overrides)
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if not result:
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return None
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except Exception as e:
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print(f"[ERROR] Error creating agents/openai.yaml: {e}")
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return None
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# Create resource directories if requested
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if resources:
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try:
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@@ -324,8 +312,7 @@ def init_skill(skill_name, path, resources, include_examples, interface_override
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print("2. Add resources to scripts/, references/, and assets/ as needed")
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else:
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print("2. Create resource directories only if needed (scripts/, references/, assets/)")
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print("3. Update agents/openai.yaml if the UI metadata should differ")
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print("4. Run the validator when ready to check the skill structure")
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print("3. Run the validator when ready to check the skill structure")
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return skill_dir
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@@ -346,12 +333,6 @@ def main():
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action="store_true",
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help="Create example files inside the selected resource directories",
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)
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parser.add_argument(
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"--interface",
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action="append",
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default=[],
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help="Interface override in key=value format (repeatable)",
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)
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args = parser.parse_args()
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raw_skill_name = args.skill_name
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@@ -385,7 +366,7 @@ def main():
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print(" Resources: none (create as needed)")
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print()
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result = init_skill(skill_name, path, resources, args.examples, args.interface)
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result = init_skill(skill_name, path, resources, args.examples)
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if result:
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sys.exit(0)
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111
.codex/skills/.system/skill-creator/scripts/package_skill.py
Normal file
111
.codex/skills/.system/skill-creator/scripts/package_skill.py
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@@ -0,0 +1,111 @@
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#!/usr/bin/env python3
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"""
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Skill Packager - Creates a distributable .skill file of a skill folder
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Usage:
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python utils/package_skill.py <path/to/skill-folder> [output-directory]
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Example:
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python utils/package_skill.py skills/public/my-skill
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python utils/package_skill.py skills/public/my-skill ./dist
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"""
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import sys
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import zipfile
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from pathlib import Path
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from quick_validate import validate_skill
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def package_skill(skill_path, output_dir=None):
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"""
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Package a skill folder into a .skill file.
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Args:
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skill_path: Path to the skill folder
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output_dir: Optional output directory for the .skill file (defaults to current directory)
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Returns:
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Path to the created .skill file, or None if error
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"""
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skill_path = Path(skill_path).resolve()
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# Validate skill folder exists
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if not skill_path.exists():
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print(f"[ERROR] Skill folder not found: {skill_path}")
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return None
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if not skill_path.is_dir():
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print(f"[ERROR] Path is not a directory: {skill_path}")
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return None
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# Validate SKILL.md exists
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skill_md = skill_path / "SKILL.md"
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if not skill_md.exists():
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print(f"[ERROR] SKILL.md not found in {skill_path}")
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return None
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# Run validation before packaging
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print("Validating skill...")
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valid, message = validate_skill(skill_path)
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if not valid:
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print(f"[ERROR] Validation failed: {message}")
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print(" Please fix the validation errors before packaging.")
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return None
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print(f"[OK] {message}\n")
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# Determine output location
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skill_name = skill_path.name
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if output_dir:
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output_path = Path(output_dir).resolve()
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output_path.mkdir(parents=True, exist_ok=True)
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else:
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output_path = Path.cwd()
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skill_filename = output_path / f"{skill_name}.skill"
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# Create the .skill file (zip format)
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try:
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with zipfile.ZipFile(skill_filename, "w", zipfile.ZIP_DEFLATED) as zipf:
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# Walk through the skill directory
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for file_path in skill_path.rglob("*"):
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if file_path.is_file():
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# Calculate the relative path within the zip
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arcname = file_path.relative_to(skill_path.parent)
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zipf.write(file_path, arcname)
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print(f" Added: {arcname}")
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print(f"\n[OK] Successfully packaged skill to: {skill_filename}")
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return skill_filename
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except Exception as e:
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print(f"[ERROR] Error creating .skill file: {e}")
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return None
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def main():
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if len(sys.argv) < 2:
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print("Usage: python utils/package_skill.py <path/to/skill-folder> [output-directory]")
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print("\nExample:")
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print(" python utils/package_skill.py skills/public/my-skill")
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print(" python utils/package_skill.py skills/public/my-skill ./dist")
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sys.exit(1)
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skill_path = sys.argv[1]
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output_dir = sys.argv[2] if len(sys.argv) > 2 else None
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print(f"Packaging skill: {skill_path}")
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if output_dir:
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print(f" Output directory: {output_dir}")
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print()
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result = package_skill(skill_path, output_dir)
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if result:
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sys.exit(0)
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else:
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sys.exit(1)
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if __name__ == "__main__":
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main()
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