8 production-ready skills for enhanced Claude Code workflows: 1. github-ops - Comprehensive GitHub operations via gh CLI and API - PR/issue management, workflow automation, API interactions 2. markdown-tools - Document conversion to markdown - PDF/Word/PowerPoint/Confluence → Markdown with WSL support 3. mermaid-tools - Mermaid diagram generation - Extract and render diagrams from markdown to PNG/SVG 4. statusline-generator - Claude Code statusline customization - Multi-line layouts, cost tracking, git status, colors 5. teams-channel-post-writer - Microsoft Teams communication - Adaptive Cards, formatted announcements, corporate standards 6. repomix-unmixer - Repomix file extraction - Extract from XML/Markdown/JSON formats with auto-detection 7. skill-creator - Skill development toolkit - Init, validation, packaging scripts with privacy best practices 8. llm-icon-finder - AI/LLM brand icon finder - 100+ AI model icons in SVG/PNG/WEBP formats Features: - Individual skill installation (install only what you need) - Progressive disclosure design (optimized context usage) - Privacy-safe examples (no personal/company information) - Comprehensive documentation with references - Production-tested workflows Installation: /plugin marketplace add daymade/claude-code-skills /plugin marketplace install daymade/claude-code-skills#<skill-name> Version: 1.2.0 License: See individual skill licenses 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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Validation Workflow for Unmixed Content
This guide provides detailed validation procedures for verifying the quality and correctness of unmixed repomix content, with special focus on Claude Code skills.
Overview
After unmixing a repomix file, validation ensures:
- All files were extracted correctly
- Directory structure is intact
- Content integrity is preserved
- Skills (if applicable) meet Claude Code requirements
General Validation Workflow
Step 1: File Count Verification
Compare the extracted file count with the expected count.
Check extraction output:
✅ Successfully extracted 20 files!
Verify against directory structure:
# Count files in the repomix directory structure section
grep -c "^ " repomix-file.xml
# Count extracted files
find /tmp/extracted -type f | wc -l
Expected result: Counts should match (accounting for any excluded binary files).
Step 2: Directory Structure Validation
Compare the extracted structure with the repomix directory structure section.
Extract directory structure from repomix file:
# For XML format
sed -n '/<directory_structure>/,/<\/directory_structure>/p' repomix-file.xml
Compare with extracted structure:
tree /tmp/extracted
# or
ls -R /tmp/extracted
Validation checks:
- All directories present
- Nesting levels match
- No unexpected directories
Step 3: Content Integrity Spot Checks
Randomly select 3-5 files to verify content integrity.
Check file size:
# Compare sizes (should be reasonable)
ls -lh /tmp/extracted/path/to/file.txt
Check content:
# Read the file and verify it looks correct
cat /tmp/extracted/path/to/file.txt
Validation checks:
- Content is readable (UTF-8 encoded)
- No obvious truncation
- Code/markup is properly formatted
- No XML/JSON escape artifacts (e.g.,
<instead of<)
Step 4: File Type Distribution
Verify that expected file types are present.
Check file types:
# List all file extensions
find /tmp/extracted -type f | sed 's/.*\.//' | sort | uniq -c
Expected distributions:
- Skills:
.md,.py,.sh,.json, etc. - Projects: Language-specific extensions
- Documentation:
.md,.txt,.pdf, etc.
Skill-Specific Validation
For Claude Code skills extracted from repomix files, perform additional validation.
Step 1: Verify Skill Structure
Check that each skill has the required SKILL.md file.
Find all SKILL.md files:
find /tmp/extracted -name "SKILL.md"
Expected result: One SKILL.md per skill directory.
Step 2: Validate YAML Frontmatter
Each SKILL.md must have valid YAML frontmatter with name and description.
Check frontmatter:
head -n 5 /tmp/extracted/skill-name/SKILL.md
Expected format:
---
name: skill-name
description: Clear description with activation triggers
---
Validation checks:
- Opening
---on line 1 name:field presentdescription:field present- Closing
---present - Description mentions when to activate
Step 3: Verify Resource Organization
Check that bundled resources follow the proper structure.
Check directory structure:
tree /tmp/extracted/skill-name
Expected structure:
skill-name/
├── SKILL.md (required)
├── scripts/ (optional)
│ └── *.py, *.sh
├── references/ (optional)
│ └── *.md
└── assets/ (optional)
└── templates, images, etc.
Validation checks:
SKILL.mdexists at root- Resources organized in proper directories
- No unexpected directories (e.g.,
__pycache__,.git)
Step 4: Validate with skill-creator
Use the skill-creator validation tools for comprehensive validation.
Run quick validation:
~/.claude/plugins/marketplaces/anthropics-skills/skill-creator/scripts/quick_validate.py \
/tmp/extracted/skill-name
Expected output:
✅ Skill structure is valid
✅ YAML frontmatter is valid
✅ Description is informative
✅ All resource references are valid
Common validation errors:
- Missing or malformed YAML frontmatter
- Description too short or missing activation criteria
- References to non-existent files
- Improper directory structure
Step 5: Content Quality Checks
Verify the content quality of each skill.
Check SKILL.md length:
wc -l /tmp/extracted/skill-name/SKILL.md
Recommended: 100-500 lines for most skills (lean, with details in references).
Check for TODOs:
grep -i "TODO" /tmp/extracted/skill-name/SKILL.md
Expected result: No TODOs (unless intentional).
Check writing style:
# Should use imperative/infinitive form
head -n 50 /tmp/extracted/skill-name/SKILL.md
Validation checks:
- Uses imperative form ("Extract files from..." not "You extract files...")
- Clear section headings
- Code examples properly formatted
- Resources properly referenced
Step 6: Bundled Resource Validation
Verify bundled scripts, references, and assets are intact.
Check scripts are executable:
ls -l /tmp/extracted/skill-name/scripts/
Check for shebang in Python/Bash scripts:
head -n 1 /tmp/extracted/skill-name/scripts/*.py
head -n 1 /tmp/extracted/skill-name/scripts/*.sh
Expected: #!/usr/bin/env python3 or #!/bin/bash
Verify references are markdown:
file /tmp/extracted/skill-name/references/*.md
Expected: All files are text/UTF-8
Validation checks:
- Scripts have proper shebangs
- Scripts are executable (or will be made executable)
- References are readable markdown
- Assets are in expected formats
Automated Validation Script
For batch validation of multiple skills:
#!/bin/bash
# validate_all_skills.sh
EXTRACTED_DIR="/tmp/extracted"
SKILL_CREATOR_VALIDATOR="$HOME/.claude/plugins/marketplaces/anthropics-skills/skill-creator/scripts/quick_validate.py"
echo "Validating all skills in $EXTRACTED_DIR..."
for skill_dir in "$EXTRACTED_DIR"/*; do
if [ -d "$skill_dir" ] && [ -f "$skill_dir/SKILL.md" ]; then
skill_name=$(basename "$skill_dir")
echo ""
echo "=== Validating: $skill_name ==="
# Run quick validation
if [ -f "$SKILL_CREATOR_VALIDATOR" ]; then
python3 "$SKILL_CREATOR_VALIDATOR" "$skill_dir"
else
echo "⚠️ Skill creator validator not found, skipping automated validation"
fi
# Check for TODOs
if grep -q "TODO" "$skill_dir/SKILL.md"; then
echo "⚠️ Warning: Found TODOs in SKILL.md"
fi
# Count files
file_count=$(find "$skill_dir" -type f | wc -l)
echo "📁 Files: $file_count"
fi
done
echo ""
echo "✅ Validation complete!"
Usage:
bash validate_all_skills.sh
Quality Assurance Checklist
Use this checklist after unmixing:
General Extraction Quality
- File count matches expected count
- Directory structure matches repomix directory listing
- No extraction errors in console output
- All files are UTF-8 encoded and readable
- No binary files incorrectly extracted as text
Skill Quality (if applicable)
- Each skill has a valid
SKILL.md - YAML frontmatter is well-formed
- Description includes activation triggers
- Writing style is imperative/infinitive
- Resources are properly organized (scripts/, references/, assets/)
- No TODOs or placeholder text
- Scripts have proper shebangs and permissions
- References are informative markdown
- skill-creator validation passes
Content Integrity
- Random spot-checks show correct content
- Code examples are properly formatted
- No XML/JSON escape artifacts
- File sizes are reasonable
- No truncated files
Ready for Use
- Extracted to appropriate location
- Scripts made executable (if needed)
- Skills ready for installation to
~/.claude/skills/ - Documentation reviewed and understood
Common Issues and Solutions
Issue: File Count Mismatch
Symptom: Fewer files extracted than expected.
Possible causes:
- Binary files excluded (expected)
- Malformed file blocks in repomix file
- Wrong format detection
Solution:
- Check repomix
<file_summary>section for exclusion notes - Manually inspect repomix file for file blocks
- Verify format detection was correct
Issue: Malformed YAML Frontmatter
Symptom: skill-creator validation fails on YAML.
Possible causes:
- Extraction didn't preserve line breaks correctly
- Content had literal
---that broke frontmatter
Solution:
- Manually inspect
SKILL.mdfrontmatter - Ensure opening
---is on line 1 - Ensure closing
---is on its own line - Check for stray
---in description
Issue: Missing Resource Files
Symptom: References to scripts/references not found.
Possible causes:
- Resource files excluded from repomix
- Extraction path mismatch
Solution:
- Check repomix file for resource file blocks
- Verify resource was in original packed content
- Check extraction console output for errors
Issue: Permission Errors on Scripts
Symptom: Scripts not executable.
Possible causes:
- Permissions not preserved during extraction
- Scripts need to be marked executable
Solution:
# Make all scripts executable
find /tmp/extracted -name "*.py" -exec chmod +x {} \;
find /tmp/extracted -name "*.sh" -exec chmod +x {} \;
Issue: Encoding Problems
Symptom: Special characters appear garbled.
Possible causes:
- Repomix file not UTF-8
- Extraction script encoding mismatch
Solution:
- Verify repomix file encoding:
file -i repomix-file.xml - Re-extract with explicit UTF-8 encoding
- Check original files for encoding issues
Post-Validation Actions
For Valid Skills
Install to Claude Code:
# Copy to skills directory
cp -r /tmp/extracted/skill-name ~/.claude/skills/
# Restart Claude Code to load the skill
Package for distribution:
~/.claude/plugins/marketplaces/anthropics-skills/skill-creator/scripts/package_skill.py \
/tmp/extracted/skill-name
For Invalid Skills
Document issues:
- Create an issues list
- Note specific validation failures
- Identify required fixes
Fix issues:
- Manually edit extracted files
- Re-validate after fixes
- Document changes made
Re-package if needed:
- Once fixed, re-validate
- Package for distribution
- Test in Claude Code
Best Practices
- Always validate before use - Don't skip validation steps
- Extract to temp first - Review before installing
- Use automated tools - skill-creator validation for skills
- Document findings - Keep notes on any issues
- Preserve originals - Keep the repomix file as backup
- Spot-check content - Don't rely solely on automated checks
- Test in isolation - Install one skill at a time for testing
References
- Skill creator documentation:
~/.claude/plugins/marketplaces/anthropics-skills/skill-creator/SKILL.md - Skill authoring best practices: https://docs.claude.com/en/docs/agents-and-tools/agent-skills/best-practices.md
- Claude Code skills directory:
~/.claude/skills/