docs: add analysis and implementation reports for VoltAgent integration

- VoltAgent repository analysis and validation reports
- Similar skills analysis and implementation tracking
- HTML to markdown conversion report
- Final skills count verification
This commit is contained in:
sck_0
2026-01-30 09:15:27 +01:00
parent dde0467e42
commit 76f43ef8ee
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#!/usr/bin/env python3
"""
Analyze remaining similar skills to determine if they are truly new
and worth adding to the repository.
"""
import json
import re
from pathlib import Path
from typing import Dict, List, Tuple
from urllib.parse import urlparse
from urllib.request import urlopen, Request
from urllib.error import URLError, HTTPError
def normalize_skill_name(name: str) -> str:
"""Normalize skill name to kebab-case."""
# Remove special chars, convert to lowercase, replace spaces/hyphens
name = re.sub(r'[^\w\s-]', '', name.lower())
name = re.sub(r'[\s_]+', '-', name)
name = re.sub(r'-+', '-', name)
return name.strip('-')
def check_url_accessible(url: str) -> bool:
"""Check if URL is accessible."""
try:
req = Request(url, method='HEAD')
with urlopen(req, timeout=10) as response:
return response.status == 200
except (URLError, HTTPError, Exception):
return False
def get_repo_base_url(github_url: str) -> str:
"""Extract base GitHub repository URL."""
# Handle various GitHub URL formats
patterns = [
r'https://github\.com/([^/]+/[^/]+)',
r'github\.com/([^/]+/[^/]+)',
]
for pattern in patterns:
match = re.search(pattern, github_url)
if match:
return f"https://github.com/{match.group(1)}"
return None
def check_skill_file_exists(repo_url: str, skill_path: str = None) -> Tuple[bool, str]:
"""Check if SKILL.md exists in the repository."""
base_url = get_repo_base_url(repo_url)
if not base_url:
return False, None
# Common paths to check
paths_to_check = [
f"{base_url}/raw/main/{skill_path}/SKILL.md" if skill_path else f"{base_url}/raw/main/SKILL.md",
f"{base_url}/raw/main/skills/{skill_path}/SKILL.md" if skill_path else None,
f"{base_url}/raw/master/{skill_path}/SKILL.md" if skill_path else f"{base_url}/raw/master/SKILL.md",
f"{base_url}/blob/main/{skill_path}/SKILL.md" if skill_path else f"{base_url}/blob/main/SKILL.md",
]
for path in paths_to_check:
if path and check_url_accessible(path):
return True, path
return False, None
def analyze_similarity(skill_name: str, similar_skills: List[str], existing_skills: Dict) -> Dict:
"""Analyze how similar a skill is to existing ones."""
analysis = {
'is_duplicate': False,
'is_complementary': False,
'similarity_score': 0.0,
'closest_match': None,
'reasoning': []
}
skill_lower = skill_name.lower()
# Check for exact or near-exact matches
for existing_name, existing_data in existing_skills.items():
existing_lower = existing_name.lower()
# Exact match
if skill_lower == existing_lower:
analysis['is_duplicate'] = True
analysis['closest_match'] = existing_name
analysis['reasoning'].append(f"Exact match with existing skill: {existing_name}")
return analysis
# Check if one contains the other
if skill_lower in existing_lower or existing_lower in skill_lower:
if abs(len(skill_lower) - len(existing_lower)) <= 3:
analysis['is_duplicate'] = True
analysis['closest_match'] = existing_name
analysis['similarity_score'] = 0.9
analysis['reasoning'].append(f"Near-exact match: '{skill_name}' vs '{existing_name}'")
return analysis
# Check similarity with similar skills list
for similar in similar_skills:
if similar.lower() in existing_skills:
existing_data = existing_skills[similar.lower()]
# If the similar skill exists, this might be a duplicate
analysis['similarity_score'] = 0.7
analysis['closest_match'] = similar
analysis['reasoning'].append(f"Similar to existing skill: {similar}")
# Determine if complementary
if analysis['similarity_score'] < 0.5:
analysis['is_complementary'] = True
analysis['reasoning'].append("Low similarity - likely complementary skill")
return analysis
def main():
base_dir = Path(__file__).parent.parent
# Load remaining similar skills
remaining_file = base_dir / "remaining_similar_skills.json"
if not remaining_file.exists():
print("❌ remaining_similar_skills.json not found. Run the analysis first.")
return
with open(remaining_file, 'r') as f:
data = json.load(f)
# Load existing skills
catalog_file = base_dir / "data" / "catalog.json"
with open(catalog_file, 'r') as f:
catalog = json.load(f)
existing_skills = {s['name'].lower(): s for s in catalog.get('skills', [])}
print(f"🔍 Analyzing {len(data['skills'])} remaining similar skills...\n")
results = {
'truly_new': [],
'duplicates': [],
'complementary': [],
'needs_review': [],
'invalid_sources': []
}
for skill in data['skills']:
skill_name = skill['name']
print(f"Analyzing: {skill_name}")
# Skip if already exists
if skill['exists_in_catalog'] or skill['folder_exists']:
results['duplicates'].append({
'name': skill_name,
'reason': 'Already exists in repository',
'url': skill['url']
})
continue
# Check source accessibility
exists, raw_url = check_skill_file_exists(skill['url'], skill.get('skill_part'))
if not exists:
results['invalid_sources'].append({
'name': skill_name,
'url': skill['url'],
'reason': 'SKILL.md not found or URL inaccessible'
})
continue
# Analyze similarity
similarity_analysis = analyze_similarity(
skill_name,
skill['similar_to'],
existing_skills
)
skill_result = {
'name': skill_name,
'url': skill['url'],
'raw_url': raw_url,
'description': skill['description'],
'org': skill['org'],
'category': skill['category'],
'similar_to': skill['similar_to'],
'similarity_analysis': similarity_analysis
}
if similarity_analysis['is_duplicate']:
results['duplicates'].append(skill_result)
elif similarity_analysis['is_complementary']:
results['complementary'].append(skill_result)
else:
results['needs_review'].append(skill_result)
# Generate report
report = {
'summary': {
'total_analyzed': len(data['skills']),
'truly_new': len(results['complementary']),
'duplicates': len(results['duplicates']),
'needs_review': len(results['needs_review']),
'invalid_sources': len(results['invalid_sources'])
},
'results': results
}
output_file = base_dir / "similar_skills_analysis.json"
with open(output_file, 'w') as f:
json.dump(report, f, indent=2)
print(f"\n✅ Analysis complete!")
print(f"📊 Summary:")
print(f" - Truly new (complementary): {len(results['complementary'])}")
print(f" - Duplicates: {len(results['duplicates'])}")
print(f" - Needs review: {len(results['needs_review'])}")
print(f" - Invalid sources: {len(results['invalid_sources'])}")
print(f"\n📄 Full report saved to: {output_file}")
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
Count uncommitted skills by checking git status.
"""
import subprocess
import json
from pathlib import Path
def run_git_command(cmd):
"""Run git command and return output."""
try:
result = subprocess.run(
cmd.split(),
capture_output=True,
text=True,
cwd=Path(__file__).parent.parent
)
return result.stdout.strip().split('\n') if result.stdout.strip() else []
except Exception as e:
print(f"Error running git command: {e}")
return []
def main():
base_dir = Path(__file__).parent.parent
# Get all uncommitted files
untracked = run_git_command("git ls-files --others --exclude-standard")
modified = run_git_command("git diff --name-only HEAD")
staged = run_git_command("git diff --cached --name-only")
# Also check status
status_output = run_git_command("git status --porcelain")
print("Git status output:")
for line in status_output[:20]: # First 20 lines
print(f" {line}")
print()
# Filter for skill files
skill_files = []
for file_list in [untracked, modified, staged]:
for file in file_list:
if '/skills/' in file and file.endswith('SKILL.md'):
skill_name = file.split('/skills/')[1].split('/SKILL.md')[0]
if skill_name not in [s['name'] for s in skill_files]:
skill_files.append({
'name': skill_name,
'file': file,
'status': 'untracked' if file in untracked else ('staged' if file in staged else 'modified')
})
# Load catalog to verify
catalog_file = base_dir / "data" / "catalog.json"
with open(catalog_file, 'r') as f:
catalog = json.load(f)
catalog_skills = {s['name']: s for s in catalog.get('skills', [])}
print("=" * 70)
print("SKILLS NON COMMITTATE")
print("=" * 70)
print(f"\nTotale skills trovate: {len(skill_files)}")
print(f"Totale skills nel catalog: {catalog.get('total', 0)}")
print()
# Group by status
untracked_skills = [s for s in skill_files if s['status'] == 'untracked']
modified_skills = [s for s in skill_files if s['status'] == 'modified']
staged_skills = [s for s in skill_files if s['status'] == 'staged']
print(f"📝 Skills non tracciate (nuove): {len(untracked_skills)}")
print(f"📝 Skills modificate: {len(modified_skills)}")
print(f"📝 Skills staged: {len(staged_skills)}")
print()
if untracked_skills:
print("Nuove skills (non tracciate):")
for skill in sorted(untracked_skills, key=lambda x: x['name']):
in_catalog = skill['name'] in catalog_skills
print(f"{skill['name']} {'(in catalog)' if in_catalog else '(NOT in catalog)'}")
if modified_skills:
print("\nSkills modificate:")
for skill in sorted(modified_skills, key=lambda x: x['name']):
print(f" 📝 {skill['name']}")
if staged_skills:
print("\nSkills staged:")
for skill in sorted(staged_skills, key=lambda x: x['name']):
print(f" 📦 {skill['name']}")
# Check for VoltAgent skills specifically
print("\n" + "=" * 70)
print("VERIFICA SKILLS DA VOLTAGENT")
print("=" * 70)
voltagent_skills_phase1 = [
'commit', 'create-pr', 'find-bugs', 'iterate-pr',
'culture-index', 'fix-review', 'sharp-edges',
'expo-deployment', 'upgrading-expo',
'using-neon', 'vercel-deploy-claimable', 'design-md',
'hugging-face-cli', 'hugging-face-jobs',
'automate-whatsapp', 'observe-whatsapp', 'readme', 'screenshots',
'deep-research', 'imagen', 'swiftui-expert-skill',
'n8n-code-python', 'n8n-mcp-tools-expert', 'n8n-node-configuration'
]
voltagent_skills_phase2 = [
'frontend-slides', 'linear-claude-skill', 'skill-rails-upgrade',
'context-fundamentals', 'context-degradation', 'context-compression',
'context-optimization', 'multi-agent-patterns', 'tool-design',
'evaluation', 'memory-systems', 'terraform-skill'
]
all_voltagent = voltagent_skills_phase1 + voltagent_skills_phase2
uncommitted_voltagent = []
for skill_name in all_voltagent:
skill_file = base_dir / "skills" / skill_name / "SKILL.md"
if skill_file.exists():
# Check if it's uncommitted
if skill_file.relative_to(base_dir).as_posix() in untracked:
uncommitted_voltagent.append(skill_name)
elif skill_file.relative_to(base_dir).as_posix() in modified:
uncommitted_voltagent.append(skill_name)
elif skill_file.relative_to(base_dir).as_posix() in staged:
uncommitted_voltagent.append(skill_name)
print(f"\nSkills da VoltAgent non committate: {len(uncommitted_voltagent)}")
print(f" Fase 1 (49 skills): {len([s for s in voltagent_skills_phase1 if s in uncommitted_voltagent])}")
print(f" Fase 2 (12 skills): {len([s for s in voltagent_skills_phase2 if s in uncommitted_voltagent])}")
print("\n" + "=" * 70)
print("RIEPILOGO FINALE")
print("=" * 70)
print(f"Totale skills non committate: {len(skill_files)}")
print(f"Skills da VoltAgent non committate: {len(uncommitted_voltagent)}")
print(f"Altre skills non committate: {len(skill_files) - len(uncommitted_voltagent)}")
return {
'total_uncommitted': len(skill_files),
'voltagent_uncommitted': len(uncommitted_voltagent),
'voltagent_phase1': len([s for s in voltagent_skills_phase1 if s in uncommitted_voltagent]),
'voltagent_phase2': len([s for s in voltagent_skills_phase2 if s in uncommitted_voltagent])
}
if __name__ == "__main__":
main()

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#!/usr/bin/env python3
"""
Implement the 12 new skills from similar skills analysis.
9 recommended + 3 verified (evaluation, memory-systems, terraform-skill)
"""
import json
import re
import sys
from pathlib import Path
from urllib.request import urlopen, Request
from urllib.error import URLError, HTTPError
from typing import Dict, Optional
def normalize_skill_name(name: str) -> str:
"""Normalize skill name to kebab-case."""
name = re.sub(r'[^a-z0-9-]', '-', name.lower())
name = re.sub(r'-+', '-', name)
return name.strip('-')
def download_file(url: str) -> Optional[str]:
"""Download content from URL."""
try:
req = Request(url)
req.add_header('User-Agent', 'Mozilla/5.0 (compatible; AntigravitySkillsDownloader/1.0)')
with urlopen(req, timeout=15) as response:
return response.read().decode('utf-8')
except Exception as e:
print(f" ❌ Error downloading {url}: {e}")
return None
def parse_frontmatter(content: str) -> Optional[Dict]:
"""Parse YAML frontmatter."""
fm_match = re.search(r'^---\s*\n(.*?)\n---', content, re.DOTALL)
if not fm_match:
return None
fm_text = fm_match.group(1)
metadata = {}
for line in fm_text.split('\n'):
if ':' in line:
key, val = line.split(':', 1)
metadata[key.strip()] = val.strip().strip('"').strip("'")
return metadata
def ensure_frontmatter_compliance(content: str, skill_name: str, source_url: str, description: str) -> str:
"""Ensure SKILL.md has compliant frontmatter."""
metadata = parse_frontmatter(content)
if not metadata:
# No frontmatter, add it
frontmatter = f"""---
name: {skill_name}
description: {description}
source: {source_url}
risk: safe
---
"""
return frontmatter + content
# Update existing frontmatter
metadata['name'] = skill_name
metadata['description'] = description
metadata['source'] = source_url
if 'risk' not in metadata:
metadata['risk'] = 'safe'
# Rebuild frontmatter
frontmatter_lines = ['---']
for key, value in metadata.items():
if isinstance(value, str) and (' ' in value or ':' in value):
frontmatter_lines.append(f'{key}: "{value}"')
else:
frontmatter_lines.append(f'{key}: {value}')
frontmatter_lines.append('---\n')
# Replace frontmatter in content
content_without_fm = re.sub(r'^---\s*\n.*?\n---\s*\n', '', content, flags=re.DOTALL)
return '\n'.join(frontmatter_lines) + content_without_fm
def ensure_when_to_use_section(content: str, description: str) -> str:
"""Ensure 'When to Use' section exists."""
if re.search(r'##\s+When\s+to\s+Use', content, re.IGNORECASE):
return content
# Add section after frontmatter
when_to_use = f"""
## When to Use This Skill
{description}
Use this skill when working with {description.lower()}.
"""
# Insert after frontmatter
content = re.sub(r'(---\s*\n.*?\n---\s*\n)', r'\1' + when_to_use, content, flags=re.DOTALL)
return content
def main():
base_dir = Path(__file__).parent.parent
# Load similar skills analysis
analysis_file = base_dir / "similar_skills_analysis.json"
with open(analysis_file, 'r') as f:
analysis = json.load(f)
# Skills to implement: 9 recommended + 3 verified
skills_to_implement = [
# 9 Recommended
{
'name': 'frontend-slides',
'url': 'https://github.com/zarazhangrui/frontend-slides',
'raw_url': 'https://github.com/zarazhangrui/frontend-slides/raw/main/SKILL.md',
'description': 'Generate animation-rich HTML presentations with visual style previews',
'org': 'zarazhangrui',
'category': 'Community Skills'
},
{
'name': 'linear-claude-skill',
'url': 'https://github.com/wrsmith108/linear-claude-skill',
'raw_url': 'https://github.com/wrsmith108/linear-claude-skill/raw/main/SKILL.md',
'description': 'Manage Linear issues, projects, and teams',
'org': 'wrsmith108',
'category': 'Community Skills'
},
{
'name': 'skill-rails-upgrade',
'url': 'https://github.com/robzolkos/skill-rails-upgrade',
'raw_url': 'https://github.com/robzolkos/skill-rails-upgrade/raw/master/SKILL.md',
'description': 'Analyze Rails apps and provide upgrade assessments',
'org': 'robzolkos',
'category': 'Community Skills'
},
{
'name': 'context-fundamentals',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-fundamentals/SKILL.md',
'description': 'Understand what context is, why it matters, and the anatomy of context in agent systems',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'context-degradation',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-degradation',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-degradation/SKILL.md',
'description': 'Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'context-compression',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-compression',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-compression/SKILL.md',
'description': 'Design and evaluate compression strategies for long-running sessions',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'context-optimization',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-optimization/SKILL.md',
'description': 'Apply compaction, masking, and caching strategies',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'multi-agent-patterns',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/multi-agent-patterns',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/multi-agent-patterns/SKILL.md',
'description': 'Master orchestrator, peer-to-peer, and hierarchical multi-agent architectures',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'tool-design',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/tool-design',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/tool-design/SKILL.md',
'description': 'Build tools that agents can use effectively, including architectural reduction patterns',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
# 3 Verified (notebooklm-skill is duplicate, skip it)
{
'name': 'evaluation',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/evaluation',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/evaluation/SKILL.md',
'description': 'Build evaluation frameworks for agent systems',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'memory-systems',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/memory-systems',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/memory-systems/SKILL.md',
'description': 'Design short-term, long-term, and graph-based memory architectures',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'terraform-skill',
'url': 'https://github.com/antonbabenko/terraform-skill',
'raw_url': 'https://github.com/antonbabenko/terraform-skill/raw/master/SKILL.md',
'description': 'Terraform infrastructure as code best practices',
'org': 'antonbabenko',
'category': 'Community Skills'
},
]
print(f"🚀 Implementing {len(skills_to_implement)} new skills...\n")
results = {
'success': [],
'failed': []
}
for skill in skills_to_implement:
skill_name = skill['name']
raw_url = skill['raw_url']
source_url = skill['url']
description = skill['description']
print(f"📦 Processing: {skill_name}")
# Download SKILL.md
content = download_file(raw_url)
if not content:
print(f" ❌ Failed to download")
results['failed'].append(skill_name)
continue
# Check if it's HTML (shouldn't be, but just in case)
if '<!DOCTYPE html>' in content or ('<html>' in content.lower() and content.count('<html>') > 1):
print(f" ⚠️ Received HTML instead of markdown, trying alternative URL")
# Try alternative raw URL
alt_url = raw_url.replace('/raw/main/', '/raw/master/') if '/raw/main/' in raw_url else raw_url.replace('/raw/master/', '/raw/main/')
alt_content = download_file(alt_url)
if alt_content and not ('<!DOCTYPE html>' in alt_content or '<html>' in alt_content.lower()):
content = alt_content
print(f" ✅ Got markdown from alternative URL")
else:
print(f" ❌ Still HTML, skipping")
results['failed'].append(skill_name)
continue
# Ensure compliance
content = ensure_frontmatter_compliance(content, skill_name, source_url, description)
content = ensure_when_to_use_section(content, description)
# Create skill directory
skill_dir = base_dir / "skills" / skill_name
skill_dir.mkdir(parents=True, exist_ok=True)
# Write SKILL.md
skill_file = skill_dir / "SKILL.md"
skill_file.write_text(content, encoding='utf-8')
print(f" ✅ Created: {skill_file}")
results['success'].append(skill_name)
print(f"\n✅ Implementation complete!")
print(f" Success: {len(results['success'])}")
print(f" Failed: {len(results['failed'])}")
if results['failed']:
print(f"\n❌ Failed skills: {', '.join(results['failed'])}")
return results
if __name__ == "__main__":
main()