Use when adding new error messages to React, or seeing "unknown error code" warnings.
npx skills add christianearle01/claude-config-template --skill "workflow-analyzer"
Install specific skill from multi-skill repository
# Description
Analyzes git commit patterns to detect repeated manual operations and suggests skill improvements. Auto-activates when users ask about workflow patterns, commit analysis, or skill optimization opportunities. Meta-skill that enables skill evolution.
# SKILL.md
name: workflow-analyzer
description: Analyzes git commit patterns to detect repeated manual operations and suggests skill improvements. Auto-activates when users ask about workflow patterns, commit analysis, or skill optimization opportunities. Meta-skill that enables skill evolution.
allowed-tools: Read, Bash, Grep
Workflow Analyzer Skill (Meta-Skill)
Purpose & Activation
What it does: Analyzes git history to detect workflow patterns and suggests skill improvements.
When it activates:
- "What patterns do you see in my commits?"
- "Analyze my workflow"
- "What skills should I create?"
- "What operations do I repeat?"
How it helps:
- Detects repeated manual operations
- Suggests new skills to create
- Identifies skill improvement opportunities
- Enables skill evolution based on actual usage
Key Operations
Operation 1: Commit Pattern Analysis
User Query:
"What patterns do you see?"
Confidence: π’ High (0.90)
- Exact keyword match: "patterns"
- Git repository available with commit history
- Clear intent to analyze workflow
Skill Response:
π Workflow Pattern Analysis (last 50 commits)
Repeated Operations Detected:
- "Update version.json" (8 times / 16%)
- "Fix typo in README" (6 times / 12%)
- "Update CHANGELOG" (7 times / 14%)
- "Sync version files" (8 times / 16%)
Pattern: Version management appears in 23/50 commits (46%)
Recommendation:
version-management skill already exists! β
This addresses your most frequent workflow.
Other opportunities:
- typo-detection skill (6 occurrences)
Suggests: Auto-detect common typos before commit
Continue using version-management skill.
Consider typo-detection for future.
Why This Matters:
- 46% of commits are version-related β High-friction workflow that's already automated
- Typo fixes waste 12% of commit time β Opportunity for new skill
- Pattern detection reveals ROI: version-management saves ~800 tokens/week
- Quick win: Run ./scripts/claude-skills.sh show version-management to see usage patterns
Next Step: Want to analyze specific operation frequency or explore typo-detection skill creation?
Operation 2: Skill Improvement Suggestions
User Query:
"How can I improve my skills?"
Confidence: π’ High (0.85)
- Keyword match: "improve", "skills"
- Git history available for analysis
- Established skill ecosystem to analyze
Skill Response:
π Skill Improvement Opportunities
Based on commit analysis:
version-management skill:
β
Well-used (8 times in 50 commits)
π‘ Could add: Auto-detect if sync-version.sh ran
π‘ Could add: Suggest CHANGELOG template
commit-readiness-checker skill:
β οΈ Usage unknown (skill recently added)
π Monitor: Check if pre-commit queries increase
Recommendation:
Update version-management SKILL.md to include:
- sync-version.sh detection operation
- CHANGELOG template generation
This would save additional 200 tokens/release.
Why This Matters:
- Well-used skills (8+ times) deserve investment β High ROI for enhancements
- New skills need monitoring β Track adoption to validate value
- Incremental improvements compound β 200 tokens/release Γ 12 releases/year = 2,400 tokens saved
- Quick win: Edit .claude/skills/version-management/SKILL.md to add suggested operations
Next Step: Want detailed implementation guidance for these improvements?
Operation 3: New Skill Discovery
User Query:
"What skills should I create next?"
Confidence: π’ High (0.92)
- Direct question about skill creation
- Git history shows repeated patterns
- Clear data-driven recommendations possible
Skill Response:
π― Skill Recommendations (data-driven)
Based on your git history:
High Value:
1. typo-fixer skill
Evidence: 6 "fix typo" commits in 2 weeks
Savings: 300 tokens/query Γ 3 queries/week = 900 tokens/week
2. link-validator skill
Evidence: 4 "fix broken link" commits
Savings: 400 tokens/query Γ 2 queries/week = 800 tokens/week
Medium Value:
3. code-formatter skill
Evidence: 3 formatting commits
Savings: 200 tokens/query Γ 1 query/week = 200 tokens/week
Start with typo-fixer (highest ROI).
Why This Matters:
- Data-driven recommendations ensure high ROI β Build what you actually need
- Typo-fixer saves 900 tokens/week β 3,600 tokens/month (~$0.11/month)
- Pattern frequency indicates pain points β 6 typo commits in 2 weeks = clear need
- Quick win: Run ./scripts/skill-template-generator.sh typo-fixer to scaffold new skill
Next Step: Want help creating the typo-fixer skill SKILL.md structure?
Git-Based Analysis
Analyzes:
- Commit message patterns
- File change frequency
- Time between related commits
- Commit types (feat, fix, docs, etc.)
Detects:
- Repeated manual tasks
- High-friction workflows
- Missing automation opportunities
Meta-Skill: Enables Evolution
This skill answers: "Do skills improve automatically?"
Answer: No, but workflow-analyzer observes patterns and SUGGESTS improvements!
Example Evolution Loop:
Week 1: User commits "Update CHANGELOG" 3 times
Week 2: workflow-analyzer notices pattern
Week 3: Suggests: "Add CHANGELOG template to version-management skill"
Week 4: User updates skill with template
Week 5: CHANGELOG updates become faster
Token Efficiency
Without Skill: 900 tokens (manual git log analysis)
With Skill: 400 tokens (structured git analysis)
Savings: 500 tokens/query (56% reduction, projected)
Monthly: 2 analyses Γ 500 = 1,000 tokens (~$0.03/month)
See Also
- version-management skill
- commit-readiness-checker skill
- skill-creation-guide.md
Skill Version: 3.4.0
Last Updated: 2025-12-13
Type: Meta-skill (analyzes and improves other skills)
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.