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change max lenght

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This commit is contained in:
Pablo Estevez
2026-01-17 17:48:15 +00:00
parent 97e597d9db
commit c33c6f9073
118 changed files with 3546 additions and 960 deletions
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117
src/skill_seekers/cli/unified_skill_builder.py
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@@ -97,7 +97,9 @@ class UnifiedSkillBuilder:
if docs_skill_path.exists():
try:
skill_mds["documentation"] = docs_skill_path.read_text(encoding="utf-8")
logger.debug(f"Loaded documentation SKILL.md ({len(skill_mds['documentation'])} chars)")
logger.debug(
f"Loaded documentation SKILL.md ({len(skill_mds['documentation'])} chars)"
)
except OSError as e:
logger.warning(f"Failed to read documentation SKILL.md: {e}")
@@ -109,7 +111,9 @@ class UnifiedSkillBuilder:
try:
content = github_skill_path.read_text(encoding="utf-8")
github_sources.append(content)
logger.debug(f"Loaded GitHub SKILL.md from {github_dir.name} ({len(content)} chars)")
logger.debug(
f"Loaded GitHub SKILL.md from {github_dir.name} ({len(content)} chars)"
)
except OSError as e:
logger.warning(f"Failed to read GitHub SKILL.md from {github_dir.name}: {e}")
@@ -165,7 +169,23 @@ class UnifiedSkillBuilder:
current_section = line[3:].strip()
# Remove emoji and markdown formatting
current_section = current_section.split("](")[0] # Remove links
for emoji in ["📚", "🏗️", "⚠️", "🔧", "📖", "💡", "🎯", "📊", "🔍", "⚙️", "🧪", "📝", "🗂️", "📐", "⚡"]:
for emoji in [
"📚",
"🏗️",
"⚠️",
"🔧",
"📖",
"💡",
"🎯",
"📊",
"🔍",
"⚙️",
"🧪",
"📝",
"🗂️",
"📐",
"⚡",
]:
current_section = current_section.replace(emoji, "").strip()
current_content = []
elif current_section:
@@ -268,7 +288,9 @@ This skill synthesizes knowledge from multiple sources:
if "Quick Reference" in github_sections:
# Include GitHub's Quick Reference (contains design patterns summary)
logger.info(f"DEBUG: Including GitHub Quick Reference ({len(github_sections['Quick Reference'])} chars)")
logger.info(
f"DEBUG: Including GitHub Quick Reference ({len(github_sections['Quick Reference'])} chars)"
)
content += github_sections["Quick Reference"] + "\n\n"
else:
logger.warning("DEBUG: GitHub Quick Reference section NOT FOUND!")
@@ -330,7 +352,9 @@ This skill synthesizes knowledge from multiple sources:
# Footer
content += "---\n\n"
content += "*Synthesized from official documentation and codebase analysis by Skill Seekers*\n"
content += (
"*Synthesized from official documentation and codebase analysis by Skill Seekers*\n"
)
return content
@@ -602,7 +626,9 @@ This skill combines knowledge from multiple sources:
# Count by type
by_type = {}
for conflict in self.conflicts:
ctype = conflict.type if hasattr(conflict, "type") else conflict.get("type", "unknown")
ctype = (
conflict.type if hasattr(conflict, "type") else conflict.get("type", "unknown")
)
by_type[ctype] = by_type.get(ctype, 0) + 1
content += "**Conflict Breakdown:**\n"
@@ -836,7 +862,9 @@ This skill combines knowledge from multiple sources:
source_id = doc_source.get("source_id", "unknown")
base_url = doc_source.get("base_url", "Unknown")
total_pages = doc_source.get("total_pages", "N/A")
f.write(f"- [{source_id}]({source_id}/index.md) - {base_url} ({total_pages} pages)\n")
f.write(
f"- [{source_id}]({source_id}/index.md) - {base_url} ({total_pages} pages)\n"
)
logger.info(f"Created documentation references ({len(docs_list)} sources)")
@@ -1084,9 +1112,13 @@ This skill combines knowledge from multiple sources:
pattern_summary[ptype] = pattern_summary.get(ptype, 0) + 1
if pattern_summary:
for ptype, count in sorted(pattern_summary.items(), key=lambda x: x[1], reverse=True):
for ptype, count in sorted(
pattern_summary.items(), key=lambda x: x[1], reverse=True
):
f.write(f"- **{ptype}**: {count} instance(s)\n")
f.write("\n📁 See `references/codebase_analysis/patterns/` for detailed analysis.\n\n")
f.write(
"\n📁 See `references/codebase_analysis/patterns/` for detailed analysis.\n\n"
)
else:
f.write("*No design patterns detected.*\n\n")
@@ -1115,7 +1147,9 @@ This skill combines knowledge from multiple sources:
f.write("\n**Recommended Actions**:\n")
for action in insights["recommended_actions"][:5]:
f.write(f"- {action}\n")
f.write("\n📁 See `references/codebase_analysis/configuration/` for details.\n\n")
f.write(
"\n📁 See `references/codebase_analysis/configuration/` for details.\n\n"
)
else:
f.write("*No configuration files detected.*\n\n")
@@ -1128,7 +1162,9 @@ This skill combines knowledge from multiple sources:
f.write(f"**{len(guides)} how-to guide(s) extracted from codebase**:\n\n")
for guide in guides[:10]: # Top 10
f.write(f"- {guide.get('title', 'Untitled Guide')}\n")
f.write("\n📁 See `references/codebase_analysis/guides/` for detailed tutorials.\n\n")
f.write(
"\n📁 See `references/codebase_analysis/guides/` for detailed tutorials.\n\n"
)
else:
f.write("*No workflow guides extracted.*\n\n")
@@ -1147,11 +1183,15 @@ This skill combines knowledge from multiple sources:
if examples.get("examples_by_category"):
f.write("\n**By Category**:\n")
for cat, count in sorted(
examples["examples_by_category"].items(), key=lambda x: x[1], reverse=True
examples["examples_by_category"].items(),
key=lambda x: x[1],
reverse=True,
):
f.write(f"- {cat}: {count}\n")
f.write("\n📁 See `references/codebase_analysis/examples/` for code samples.\n\n")
f.write(
"\n📁 See `references/codebase_analysis/examples/` for code samples.\n\n"
)
else:
f.write("*No test examples extracted.*\n\n")
@@ -1163,13 +1203,17 @@ This skill combines knowledge from multiple sources:
dir_struct = c3_data["architecture"].get("directory_structure", {})
if dir_struct:
f.write("**Main Directories**:\n")
for dir_name, file_count in sorted(dir_struct.items(), key=lambda x: x[1], reverse=True)[:15]:
for dir_name, file_count in sorted(
dir_struct.items(), key=lambda x: x[1], reverse=True
)[:15]:
f.write(f"- `{dir_name}/`: {file_count} file(s)\n")
f.write("\n")
# Footer
f.write("---\n\n")
f.write("*This architecture overview was automatically generated by C3.x codebase analysis.*\n")
f.write(
"*This architecture overview was automatically generated by C3.x codebase analysis.*\n"
)
f.write("*Last updated: skill build time*\n")
logger.info("📐 Created ARCHITECTURE.md")
@@ -1277,7 +1321,9 @@ This skill combines knowledge from multiple sources:
if guides:
f.write("## Available Guides\n\n")
for guide in guides:
f.write(f"- [{guide.get('title', 'Untitled')}](guide_{guide.get('id', 'unknown')}.md)\n")
f.write(
f"- [{guide.get('title', 'Untitled')}](guide_{guide.get('id', 'unknown')}.md)\n"
)
f.write("\n")
# Save individual guide markdown files
@@ -1351,7 +1397,9 @@ This skill combines knowledge from multiple sources:
if insights:
f.write("## Overall Insights\n\n")
if insights.get("security_issues_found"):
f.write(f"🔐 **Security Issues**: {insights['security_issues_found']}\n\n")
f.write(
f"🔐 **Security Issues**: {insights['security_issues_found']}\n\n"
)
if insights.get("recommended_actions"):
f.write("**Recommended Actions**:\n")
for action in insights["recommended_actions"]:
@@ -1425,7 +1473,9 @@ This skill combines knowledge from multiple sources:
top_patterns = sorted(pattern_summary.items(), key=lambda x: x[1], reverse=True)[:3]
if top_patterns:
content += f"- Top patterns: {', '.join([f'{p[0]} ({p[1]})' for p in top_patterns])}\n"
content += (
f"- Top patterns: {', '.join([f'{p[0]} ({p[1]})' for p in top_patterns])}\n"
)
content += "\n"
# Add test examples summary
@@ -1449,7 +1499,9 @@ This skill combines knowledge from multiple sources:
# Add security warning if present
if c3_data["config_patterns"].get("ai_enhancements"):
insights = c3_data["config_patterns"]["ai_enhancements"].get("overall_insights", {})
insights = c3_data["config_patterns"]["ai_enhancements"].get(
"overall_insights", {}
)
security_issues = insights.get("security_issues_found", 0)
if security_issues > 0:
content += f"- 🔐 **Security Alert**: {security_issues} issue(s) detected\n"
@@ -1477,7 +1529,8 @@ This skill combines knowledge from multiple sources:
medium = [
c
for c in self.conflicts
if (hasattr(c, "severity") and c.severity == "medium") or c.get("severity") == "medium"
if (hasattr(c, "severity") and c.severity == "medium")
or c.get("severity") == "medium"
]
low = [
c
@@ -1497,9 +1550,15 @@ This skill combines knowledge from multiple sources:
for conflict in high:
api_name = (
conflict.api_name if hasattr(conflict, "api_name") else conflict.get("api_name", "Unknown")
conflict.api_name
if hasattr(conflict, "api_name")
else conflict.get("api_name", "Unknown")
)
diff = (
conflict.difference
if hasattr(conflict, "difference")
else conflict.get("difference", "N/A")
)
diff = conflict.difference if hasattr(conflict, "difference") else conflict.get("difference", "N/A")
f.write(f"### {api_name}\n\n")
f.write(f"**Issue**: {diff}\n\n")
@@ -1510,9 +1569,15 @@ This skill combines knowledge from multiple sources:
for conflict in medium[:20]: # Limit to 20
api_name = (
conflict.api_name if hasattr(conflict, "api_name") else conflict.get("api_name", "Unknown")
conflict.api_name
if hasattr(conflict, "api_name")
else conflict.get("api_name", "Unknown")
)
diff = (
conflict.difference
if hasattr(conflict, "difference")
else conflict.get("difference", "N/A")
)
diff = conflict.difference if hasattr(conflict, "difference") else conflict.get("difference", "N/A")
f.write(f"### {api_name}\n\n")
f.write(f"{diff}\n\n")
@@ -1534,7 +1599,9 @@ if __name__ == "__main__":
config = json.load(f)
# Mock scraped data
scraped_data = {"github": {"data": {"readme": "# Test Repository", "issues": [], "releases": []}}}
scraped_data = {
"github": {"data": {"readme": "# Test Repository", "issues": [], "releases": []}}
}
builder = UnifiedSkillBuilder(config, scraped_data)
builder.build()