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skills-manager技能经理

Agent Skill

skills-manager 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

661

周安装

27

GitHub Stars

678

下载量

214
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skills-manager(技能经理)
来源仓库:https://github.com/ananddtyagi/cc-marketplace
仓库路径:skills/skills-manager
安装命令:
npx skills add https://github.com/ananddtyagi/cc-marketplace --skill skills-manager
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/ananddtyagi/cc-marketplace --skill skills-manager

简介

技能管理器用于审计与整合 Claude Code 技能,确保项目状态一致。

  • 基于实际代码库与 usage pattern 进行验证,避免假设性修改。
  • 适用于技能归档、移除建议与完整性维护。
  • 安装来自 GitHub,需分析本地项目结构与技能使用情况。
  • skills-manager 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Skills Manager Skill - Universal Consolidation & Audit for Claude Code

A meta-skill to audit, consolidate, archive, or remove Claude Code skills by referencing actual project state, structure, and usage needs. Safeguards the integrity of your skillset with verification-first approach.

Core Safety Principle

NEVER ASSUME - ALWAYS VERIFY

This skill MUST analyze your actual project state, codebase, and usage patterns before making any decisions about skills. It verifies system reality, validates usage data, and applies conservative safety thresholds before suggesting any changes.


When to Use This Skill

Use this skill when you need to:

  • Audit skills effectiveness - Analyze which skills are actually used vs unused
  • Consolidate redundant skills - Merge overlapping or duplicate capabilities
  • Archive obsolete skills - Safely move outdated skills to archive with rollback
  • Optimize skill organization - Restructure skills based on project needs and relevance
  • Maintain skill hygiene - Regular cleanup to keep skillset efficient and relevant

Critical: This skill prioritizes safety over automation. All destructive actions require explicit user confirmation and have rollback capabilities.


Activation Commands

Commands

/skills-audit                    # Run full analysis, generate reports, no changes
/skills-consolidate             # Execute consolidation after user review and approval
/skills-merge <skill1> <skill2>  # Interactive merge assistance for two skills
/skills-archive <skill-name>    # Safely archive a skill with backup
/skills-config                  # View or update configuration settings

Triggers

Natural language patterns that activate this skill:

  • "Audit my Claude Code skills"
  • "Find redundant or unused skills"
  • "Consolidate my skills collection"
  • "Clean up my skills directory"
  • "Archive old skills I don't use"
  • "Optimize my skill organization"
  • "Which skills should I keep or remove?"

Phase 1: System State & Skills Inventory (MANDATORY First Step)

1.1 Detect Project Type & Tech Stack

Objective: Build accurate understanding of your actual project.

Process:

Parse Dependency Files

# Find all dependency files
find . -name "package.json" -o -name "requirements.txt" -o -name "pom.xml" \
  -o -name "go.mod" -o -name "Cargo.toml" -o -name "composer.json" \
  -o -name "Gemfile" -o -name "build.gradle"

# Extract technologies
if [ -f "package.json" ]; then
  echo "Node.js project detected"
  cat package.json | jq -r '.dependencies, .devDependencies | keys[]' | head -20
fi

if [ -f "requirements.txt" ]; then
  echo "Python project detected"
  grep -v "^#" requirements.txt | cut -d'=' -f1 | head -20
fi

Map Project Structure

# Analyze directory structure
echo "=== Project Structure Analysis ==="
for dir in src lib app components services docs k8s docker; do
  if [ -d "$dir" ]; then
    file_count=$(find "$dir" -type f | wc -l)
    echo "$dir/ - $file_count files"
  fi
done

# Identify key file types
echo "=== File Type Distribution ==="
find . -type f -name "*.ts" -o -name "*.js" -o -name "*.py" -o -name "*.go" -o -name "*.rs" | \
  cut -d'.' -f3 | sort | uniq -c | sort -nr

Output Format:

{
  "system_reality": {
    "project_type": "Vue.js TypeScript Application",
    "primary_technologies": ["Vue 3", "TypeScript", "Vite", "Pinia"],
    "databases": ["IndexedDB", "LocalStorage"],
    "frameworks": ["Vue.js", "Tailwind CSS"],
    "build_tools": ["Vite", "ESLint", "TypeScript"],
    "directory_structure": {
      "src/": "234 files",
      "components/": "45 files",
      "docs/": "12 files"
    }
  },
  "relevance_domains": ["frontend", "vue.js", "typescript", "pinia", "productivity"]
}

1.2 Inventory All Current Skills

Objective: Complete catalog of all skills with metadata.

Process:

# Scan skills directory
echo "=== Skills Inventory ==="
for skill in .claude/skills/*.md; do
  if [ -f "$skill" ]; then
    skill_name=$(basename "$skill" .md)
    skill_size=$(wc -l < "$skill")
    last_modified=$(git log -1 --format="%ci" "$skill" 2>/dev/null || echo "unknown")
    echo "✅ $skill_name - $skill_size lines - last: $last_modified"
  fi
done

Extract Metadata from Each Skill:

def extract_skill_metadata(skill_file):
    """Extract key metadata from skill markdown file"""
    with open(skill_file, 'r', encoding='utf-8') as f:
        content = f.read()

    # Extract YAML frontmatter
    frontmatter_match = re.match(r'^---\n(.*?)\n---', content, re.DOTALL)
    if frontmatter_match:
        try:
            import yaml
            metadata = yaml.safe_load(frontmatter_match.group(1))
        except:
            metadata = {}
    else:
        metadata = {}

    # Extract capabilities from content
    capabilities = []
    if 'Capabilities:' in content:
        cap_section = re.search(r'Capabilities:(.*?)(?:\n##|\Z)', content, re.DOTALL)
        if cap_section:
            capabilities = re.findall(r'[-*]\s*(.+)', cap_section.group(1))

    # Extract activation triggers
    triggers = []
    if 'triggers' in metadata:
        if isinstance(metadata['triggers'], list):
            triggers = metadata['triggers']
        elif isinstance(metadata['triggers'], str):
            triggers = [metadata['triggers']]

    return {
        'name': metadata.get('name', skill_file.stem),
        'description': metadata.get('description', ''),
        'category': metadata.get('category', 'general'),
        'triggers': triggers,
        'capabilities': capabilities,
        'file_size': len(content),
        'last_modified': get_git_last_modified(skill_file)
    }

1.3 Analyze Usage Patterns

Objective: Understand which skills are actually being used.

Process:

Analyze Git History for Skill References

# Search git history for skill mentions
echo "=== Skill Usage Analysis (Last 90 Days) ==="
since_date=$(date -d "90 days ago" --iso-8601)

for skill in .claude/skills/*.md; do
  skill_name=$(basename "$skill" .md)

  # Count commits mentioning this skill
  commit_count=$(git log --since="$since_date" --grep="$skill_name" --oneline | wc -l)

  # Count file mentions in commit messages
  message_count=$(git log --since="$since_date" --all --grep="$skill_name" --oneline | wc -l)

  total_usage=$((commit_count + message_count))

  if [ $total_usage -gt 0 ]; then
    echo "📊 $skill_name - $total_usage uses in last 90 days"
  else
    echo "⚠️  $skill_name - No recent usage detected"
  fi
done

Analyze Skill Dependencies

def analyze_skill_dependencies(skills_dir):
    """Analyze how skills reference each other"""
    dependencies = {}

    for skill_file in Path(skills_dir).glob("*.md"):
        skill_name = skill_file.stem
        with open(skill_file, 'r', encoding='utf-8') as f:
            content = f.read()

        # Find references to other skills
        skill_references = re.findall(r'\b([a-z][a-z0-9-]*)\b', content.lower())

        # Filter to actual skill names
        other_skills = [f.stem for f in Path(skills_dir).glob("*.md") if f.stem != skill_name]
        referenced_skills = [ref for ref in skill_references if ref in other_skills]

        if referenced_skills:
            dependencies[skill_name] = referenced_skills

    return dependencies

Output Format:

{
  "skills_inventory": {
    "total_skills": 47,
    "categories": {
      "debug": 12,
      "create": 8,
      "fix": 15,
      "optimize": 5,
      "meta": 7
    },
    "usage_stats": {
      "vue-debugging": {"uses_90_days": 23, "last_used": "2025-11-20"},
      "pinia-fixer": {"uses_90_days": 15, "last_used": "2025-11-18"},
      "old-deprecated-skill": {"uses_90_days": 0, "last_used": "2024-06-01"}
    },
    "dependencies": {
      "vue-debugging": ["dev-vue"],
      "comprehensive-system-analyzer": ["qa-testing", "dev-debugging"]
    }
  }
}

Phase 2: Skills Necessity & Redundancy Assessment

2.1 Necessity Scoring

Objective: Rank skills by importance and relevance to current project.

Scoring Algorithm:

def calculate_necessity_score(skill_data, project_reality, usage_stats):
    """Calculate necessity score for a skill (0-100)"""

    score = 0

    # Base score from recent usage (40 points max)
    usage = usage_stats.get(skill_data['name'], {})
    recent_uses = usage.get('uses_90_days', 0)
    usage_score = min(recent_uses * 2, 40)  # 2 points per use, max 40
    score += usage_score

    # Project relevance score (30 points max)
    skill_domains = extract_domains(skill_data['description'], skill_data['capabilities'])
    project_domains = project_reality.get('relevance_domains', [])

    domain_overlap = len(set(skill_domains) & set(project_domains))
    relevance_score = min(domain_overlap * 10, 30)  # 10 points per matching domain
    score += relevance_score

    # Category importance score (20 points max)
    important_categories = ['debug', 'create', 'fix']
    if skill_data['category'] in important_categories:
        score += 20
    elif skill_data['category'] in ['optimize', 'analyze']:
        score += 15
    else:
        score += 10

    # Dependency score (10 points max)
    if skill_data['name'] in usage_stats.get('dependencies', {}):
        dependent_count = len(usage_stats['dependencies'][skill_data['name']])
        dependency_score = min(dependent_count * 2, 10)
        score += dependency_score

    return min(score, 100)

2.2 Redundancy Detection

Objective: Find overlapping or duplicate skills.

Analysis Methods:

Capability Overlap Analysis

def analyze_capability_overlap(skill1_data, skill2_data):
    """Calculate overlap between two skills based on capabilities and triggers"""

    # Extract keywords from descriptions and capabilities
    def extract_keywords(text):
        words = re.findall(r'\b[a-z]{3,}\b', text.lower())
        stop_words = {'the', 'and', 'for', 'with', 'can', 'will', 'use', 'from', 'have', 'this', 'that'}
        return [w for w in words if w not in stop_words]

    # Combine text sources
    skill1_text = f"{skill1_data['description']} {' '.join(skill1_data['capabilities'])} {' '.join(skill1_data['triggers'])}"
    skill2_text = f"{skill2_data['description']} {' '.join(skill2_data['capabilities'])} {' '.join(skill2_data['triggers'])}"

    # Extract keywords
    skill1_keywords = set(extract_keywords(skill1_text))
    skill2_keywords = set(extract_keywords(skill2_text))

    # Calculate Jaccard similarity
    if not skill1_keywords and not skill2_keywords:
        return 0.0

    intersection = len(skill1_keywords & skill2_keywords)
    union = len(skill1_keywords | skill2_keywords)

    return intersection / union if union > 0 else 0.0

Trigger Conflict Analysis

def analyze_trigger_conflicts(all_skills):
    """Find skills with overlapping activation triggers"""

    trigger_map = defaultdict(list)

    for skill_name, skill_data in all_skills.items():
        for trigger in skill_data['triggers']:
            # Normalize trigger text
            normalized_trigger = trigger.lower().strip()
            trigger_map[normalized_trigger].append(skill_name)

    conflicts = []
    for trigger, skills in trigger_map.items():
        if len(skills) > 1:
            conflicts.append({
                'trigger': trigger,
                'conflicting_skills': skills,
                'conflict_type': 'exact_match'
            })

    return conflicts

Output Format:

{
  "necessity_scores": {
    "vue-debugging": 85,
    "pinia-fixer": 72,
    "comprehensive-system-analyzer": 68,
    "old-unused-skill": 15
  },
  "redundancy_analysis": {
    "overlapping_skills": [
      {
        "skill1": "component-debugger",
        "skill2": "vue-component-debugger",
        "similarity": 0.87,
        "shared_capabilities": ["debug Vue components", "fix reactivity issues"],
        "recommendation": "Consider merging"
      }
    ],
    "trigger_conflicts": [
      {
        "trigger": "fix vue component",
        "conflicting_skills": ["vue-debugger", "component-debugger", "reactivity-fixer"],
        "recommendation": "Refine trigger specificity"
      }
    ]
  },
  "consolidation_candidates": {
    "merge_candidates": [
      {
        "primary_skill": "vue-debugging",
        "merge_with": ["component-debugger", "reactivity-fixer"],
        "confidence": 0.92,
        "risk": "low"
      }
    ],
    "archive_candidates": [
      {
        "skill": "old-deprecated-skill",
        "reason": "No usage in 180+ days, obsolete capabilities",
        "confidence": 0.98,
        "risk": "low"
      }
    ]
  }
}

Phase 3: Consolidation Planning & User Review

3.1 Consolidation Rules Engine

Merge Rules:

  • High similarity (≥85%) + low usage overlap → Candidate for merge
  • Complementary capabilities (≤70% similarity) → Keep separate
  • One skill significantly more used → Keep active, merge other into it

Archive Rules:

  • No usage in 180+ days → Archive candidate
  • Obsolete technology references → Archive candidate
  • Superseded by newer skill → Archive older version

Deletion Rules:

  • Exact duplicate (100% similarity) → Delete after merge
  • Broken/unloadable skill → Delete with backup
  • User explicitly marked as obsolete → Delete with confirmation

3.2 Generate Consolidation Plan

Plan Structure:

# Skills Consolidation Plan
**Generated:** 2025-11-23 15:30 IST
**Conservatism Level:** balanced
**Total Skills Analyzed:** 47

---

## Executive Summary

- **High Priority Actions:** 5 skills (3 merges, 2 archives)
- **Medium Priority Actions:** 8 skills (4 merges, 4 archives)
- **Low Priority Actions:** 3 skills (review needed)
- **Protected Skills:** 12 (will not be modified)

**Estimated Impact:** Reduce skills from 47 to 32 (32% reduction)

---

## High Priority Actions

### 1. Merge Vue Debugging Skills
**Action:** Merge `component-debugger` + `reactivity-fixer` → `vue-debugging`

**Rationale:**
- 92% capability overlap
- `vue-debugging` has 3x more usage
- All triggers can be consolidated
- Low risk (complementary, not conflicting)

**Risk Assessment:** LOW
- Backup will be created
- All functionality preserved
- Rollback available via git revert

**User Confirmation Required:** ⚠️ YES

### 2. Archive Obsolete Skills
**Action:** Archive `old-webpack-configurator`

**Rationale:**
- No usage in 210+ days
- References obsolete webpack v3
- Modern skills cover same functionality better

**Risk Assessment:** LOW
- Moved to `skills-archive/` directory
- Preserved in git history
- Can be restored if needed

**User Confirmation Required:** ⚠️ YES

---

## Protected Skills (Will NOT be modified)

- `skill-creator-doctor` - Meta skill, critical for system
- `dev-debugging` - Core debugging functionality
- `basic-coding` - Fundamental capability
- `git-workflow-helper` - Essential for development workflow

---

## Execution Plan

1. **Pre-execution Backup**: Create `.claude/skills-backup-YYYYMMDD/`
2. **Create Branch**: `skills/consolidation-YYYYMMDD`
3. **Batch 1**: Archive obsolete skills (low risk)
4. **Batch 2**: Merge overlapping skills (medium risk)
5. **Batch 3**: Update references and triggers
6. **Validation**: Test all skill activations
7. **Cleanup**: Remove placeholder files

**Rollback Instructions:**

Complete rollback

git checkout main git branch -D skills/consolidation-YYYYMMDD cp -r .claude/skills-backup-YYYYMMDD/* .claude/skills/

Partial rollback (batch-specific)

git revert <commit-hash>

3.3 User Confirmation Process

Interactive Confirmation Flow:

def get_user_confirmation(action_details):
    """Get explicit user confirmation for each action"""

    print(f"\n=== Action Review ===")
    print(f"Type: {action_details['type']}")
    print(f"Skills: {action_details['skills']}")
    print(f"Risk Level: {action_details['risk'].upper()}")
    print(f"Rationale: {action_details['rationale']}")

    if action_details['risk'] == 'high':
        print(f"\n⚠️  HIGH RISK ACTION")
        print(f"This action {action_details['warning']}")

        response = input(f"\nProceed with {action_details['type']}? (Type 'YES' to confirm): ")
        return response == 'YES'

    else:
        print(f"\nRisk: {action_details['risk']}")
        response = input(f"Proceed with {action_details['type']}? (y/n): ")
        return response.lower() in ['y', 'yes']

Phase 4: Safe Execution Workflow

4.1 Pre-Execution Validation

Safety Checklist:

echo "=== Pre-Execution Safety Checklist ==="

# Check git status
if [ -n "$(git status --porcelain)" ]; then
  echo "❌ Working directory not clean. Please commit or stash changes."
  exit 1
fi

# Create backup
BACKUP_DIR=".claude/skills-backup-$(date +%Y%m%d-%H%M%S)"
if [ ! -d "$BACKUP_DIR" ]; then
  echo "📦 Creating backup..."
  cp -r .claude/skills "$BACKUP_DIR/"
  echo "✅ Backup created: $BACKUP_DIR"
fi

# Create working branch
BRANCH="skills/consolidation-$(date +%Y%m%d-%H%M%S)"
git checkout -b "$BRANCH"
echo "✅ Working on branch: $BRANCH"

# Validate skills can still load
echo "🔍 Validating current skill integrity..."
# Add skill loading validation here

4.2 Stepwise Execution

Batch 1: Archive Operations (Low Risk)

echo "=== Batch 1: Archiving Obsolete Skills ==="

for skill in "${ARCHIVE_CANDIDATES[@]}"; do
  echo "Archiving: $skill"

  # Create archive directory if needed
  mkdir -p .claude/skills-archive

  # Move skill with git history
  git mv ".claude/skills/$skill.md" ".claude/skills-archive/$skill.md"

  # Create ARCHIVED.md note
  cat > ".claude/skills-archive/$skill.md" << EOF
# Archived: $skill

**Archive Date:** $(date -Iseconds)
**Reason:** ${ARCHIVE_REASONS[$skill]}

## Archive Reason
${ARCHIVE_DETAILS[$skill]}

## Restoration Instructions
To restore this skill:
1. Move from skills-archive/ back to skills/
2. Update .claude/config/skills.json if needed
3. Test skill loading
EOF

  echo "✅ Archived: $skill"
done

git commit -m "skills: archive obsolete skills

- Archived ${#ARCHIVE_CANDIDATES[@]} obsolete skills
- Moved to skills-archive/ directory
- Preserved git history and metadata

Skills archived:
$(printf '  - %s\n' "${ARCHIVE_CANDIDATES[@]}")
"

Batch 2: Merge Operations (Medium Risk)

echo "=== Batch 2: Merging Overlapping Skills ==="

for merge_group in "${MERGE_CANDIDATES[@]}"; do
  IFS='|' read -r primary_skill merge_skills <<< "$merge_group"

  echo "Merging into: $primary_skill"
  echo "From: $merge_skills"

  # Get user confirmation for this merge
  echo "About to merge skills into $primary_skill"
  echo "This will combine capabilities and update triggers"

  read -p "Proceed with merge? (y/n): " -n 1 -r
  echo
  if [[ $REPLY =~ ^[Yy]$ ]]; then
    # Perform merge operation
    python3 .claude/skills/skills-manager/scripts/merge_skills.py \
      --primary "$primary_skill" \
      --secondary $merge_skills

    # Remove merged skills
    for skill in $merge_skills; do
      git mv ".claude/skills/$skill.md" ".claude/skills-archive/merged-$skill.md"
    done

    echo "✅ Merge completed: $primary_skill"
  else
    echo "⏭️  Skipping merge: $primary_skill"
  fi
done

git commit -m "skills: merge overlapping skills

Consolidated skills with high capability overlap:
- Combined complementary capabilities
- Updated triggers to prevent conflicts
- Preserved all unique functionality
- Archived merged originals for reference"

4.3 Post-Execution Validation

echo "=== Post-Execution Validation ==="

# Validate all skills can load
echo "🔍 Testing skill loading..."
load_errors=0
for skill in .claude/skills/*.md; do
  if [ -f "$skill" ]; then
    # Test skill syntax/loading
    if ! python3 -c "
import yaml
import re
with open('$skill', 'r') as f:
    content = f.read()
# Basic validation
frontmatter_match = re.match(r'^---\n(.*?)\n---', content, re.DOTALL)
if not frontmatter_match:
    exit(1)
" 2>/dev/null; then
      echo "❌ Skill validation failed: $(basename "$skill")"
      load_errors=$((load_errors + 1))
    fi
  fi
done

if [ $load_errors -eq 0 ]; then
  echo "✅ All skills validated successfully"
else
  echo "❌ $load_errors skills have validation errors"
  echo "Please review and fix before continuing"
fi

# Test registry consistency
echo "🔍 Validating registry consistency..."
python3 .claude/skills/skills-manager/scripts/validate_registry.py

echo "=== Consolidation Complete ==="
echo "Branch: $BRANCH"
echo "Backup: $BACKUP_DIR"
echo ""
echo "Next steps:"
echo "1. Review changes: git log --oneline -10"
echo "2. Test skill functionality"
echo "3. Create PR: gh pr create --fill"
echo "4. Merge after approval"
echo ""
echo "Rollback if needed:"
echo "  git checkout main && git branch -D $BRANCH"
echo "  cp -r $BACKUP_DIR/* .claude/skills/"

Safety & Rollback Features

5.1 Backup Strategy

Automatic Backups:

# Pre-execution backup
BACKUP_DIR=".claude/skills-backup-$(date +%Y%m%d-%H%M%S)"
cp -r .claude/skills "$BACKUP_DIR/"

# Git stash backup
git stash push -u -m "Pre-consolidation skills state"

# Registry backup
cp .claude/config/skills.json "$BACKUP_DIR/skills-backup.json"

5.2 Rollback Procedures

Complete Rollback:

# Method 1: Git branch deletion
git checkout main
git branch -D skills/consolidation-YYYYMMDD

# Method 2: Restore from backup
rm -rf .claude/skills
cp -r .claude/skills-backup-YYYYMMDD/skills .claude/skills/
git add .claude/skills/
git commit -m "Rollback: restore skills from backup"

Selective Rollback:

# Rollback specific commits
git revert <commit-hash>

# Restore specific skills from backup
cp .claude/skills-backup-YYYYMMDD/skills/specific-skill.md .claude/skills/

5.3 Risk Mitigation

Risk Levels:

  • LOW: Archive operations (preserves data, reversible)
  • MEDIUM: Merge operations (requires careful validation)
  • HIGH: Delete operations (requires explicit "YES" confirmation)

Protected Categories:

  • Meta skills (skill-creator-doctor, skills-manager)
  • Core debugging skills (dev-debugging, dev-fix-timer)
  • Fundamental workflow skills (git-workflow-helper, basic-coding)

Configuration

Configuration File

# .claude/skills-manager-config.yml
conservatism_level: balanced  # Options: aggressive, balanced, conservative

protected_skills:
  - skill-creator-doctor
  - skills-manager
  - dev-debugging
  - basic-coding
  - git-workflow-helper
  - file-operations

risk_settings:
  max_deletion_risk: medium    # disallow high-risk deletion without manual confirmation
  merge_threshold: 0.7         # 70% overlap required for merge suggestion
  archive_instead_of_delete: true
  require_confirmation_for:
    - delete
    - merge
    - modify_protected

usage_analysis:
  usage_window_days: 90        # Analyze skill activations from last 90 days
  inactive_threshold: 180      # Days without usage before considering archive
  high_usage_threshold: 20     # Uses per 90 days = high usage

redundancy_detection:
  capability_similarity_threshold: 0.8
  trigger_conflict_detection: true
  semantic_analysis_enabled: true

output:
  generate_reports: true
  create_backup: true
  verbose_logging: false

Runtime Configuration Updates

# Update conservatism level
/skills-config --conservatism conservative

# Add protected skill
/skills-config --protect new-important-skill

# Adjust thresholds
/skills-config --merge-threshold 0.85

Usage Examples

Example 1: Full Skills Audit

User: "/skills-audit"

System Response:
🔍 Running comprehensive skills audit...

=== System Analysis ===
Project: Vue.js TypeScript Application
Key Technologies: Vue 3, TypeScript, Pinia, Tailwind CSS
Relevance Domains: frontend, vue.js, typescript, productivity

=== Skills Inventory ===
Total Skills: 47
Categories: debug(12), create(8), fix(15), optimize(5), meta(7)

=== Usage Analysis ===
High Usage (20+): vue-debugging(23), dev-fix-timer(18)
Medium Usage (5-19): pinia-fixer(15), component-debugger(12)
Low Usage (1-4): old-webpack-configurator(1)
No Usage: legacy-skill(0), obsolete-helper(0)

=== Recommendations ===
5 skills ready for consolidation
3 skills candidates for archival
2 potential trigger conflicts identified

Generated detailed report: .claude/skills-audit-report-20251123.md

Example 2: Safe Consolidation

User: "/skills-consolidate"

System Response:
📋 Skills Consolidation Plan Generated

=== Executive Summary ===
- Current skills: 47 → Proposed: 32 (32% reduction)
- High priority actions: 5 (3 merges, 2 archives)
- Risk level: Medium (with backups available)

=== Proposed Actions ===

1. MERGE: component-debugger + vue-component-debugger → vue-debugging
   Similarity: 92% | Usage: vue-debugging 3x higher | Risk: LOW
   Rationale: High capability overlap, vue-debugging more actively used

2. ARCHIVE: old-webpack-configurator
   Last used: 210+ days ago | Obsolete webpack v3 references | Risk: LOW
   Rationale: No recent usage, superseded by modern tools

=== Protected Skills (Will NOT be modified) ===
- skill-creator-doctor (meta-skill)
- dev-debugging (core functionality)
- basic-coding (fundamental capability)

=== Safety Measures ===
✅ Backup will be created: .claude/skills-backup-20251123/
✅ Working branch: skills/consolidation-20251123
✅ Rollback available via git revert or backup restore

Proceed with consolidation? (y/n/view details):

Example 3: Selective Skill Merge

User: "/skills-merge react-component-builder ui-generator"

System Response:
🔍 Analyzing skills for merge...

=== Skill Analysis ===
react-component-builder:
- Capabilities: Build React components, TypeScript support
- Usage: 8 times in last 90 days
- Last used: 2025-11-15

ui-generator:
- Capabilities: Generate UI components, styling options
- Usage: 5 times in last 90 days
- Last used: 2025-11-10

=== Similarity Analysis ===
Capability Overlap: 76%
Shared Features: Component generation, TypeScript support
Unique Features:
  - react-component-builder: React-specific hooks
  - ui-generator: Multiple styling frameworks

=== Merge Recommendation ===
Confidence: 82% | Risk: MEDIUM
Proposed Name: component-generator
Strategy: Combine capabilities with React-specific options

Proceed with merge? (y/n/customize):

Resources

scripts/

Automation tools for skills management:

  • analyze_skills.py - Complete skills analysis and inventory
  • detect_redundancies.py - Find overlapping and duplicate skills
  • merge_skills.py - Safe skill merging with conflict resolution
  • archive_skills.py - Automated archival with metadata preservation
  • validate_registry.py - Ensure skills.json consistency
  • backup_manager.py - Create and manage skill backups

references/

Detailed guides and reference materials:

  • skills_taxonomy.md - Comprehensive skill categorization framework
  • merge_best_practices.md - Guidelines for combining skills effectively
  • rollback_procedures.md - Emergency recovery and rollback instructions
  • usage_analytics.md - Methods for tracking skill utilization

These resources provide the technical implementation details for the workflows described above, enabling systematic and safe skills management with full audit trails and recovery capabilities.


MANDATORY USER VERIFICATION REQUIREMENT

Policy: No Fix Claims Without User Confirmation

CRITICAL: Before claiming ANY issue, bug, or problem is "fixed", "resolved", "working", or "complete", the following verification protocol is MANDATORY:

Step 1: Technical Verification

  • Run all relevant tests (build, type-check, unit tests)
  • Verify no console errors
  • Take screenshots/evidence of the fix

Step 2: User Verification Request

REQUIRED: Use the AskUserQuestion tool to explicitly ask the user to verify the fix:

"I've implemented [description of fix]. Before I mark this as complete, please verify:
1. [Specific thing to check #1]
2. [Specific thing to check #2]
3. Does this fix the issue you were experiencing?

Please confirm the fix works as expected, or let me know what's still not working."

Step 3: Wait for User Confirmation

  • DO NOT proceed with claims of success until user responds
  • DO NOT mark tasks as "completed" without user confirmation
  • DO NOT use phrases like "fixed", "resolved", "working" without user verification

Step 4: Handle User Feedback

  • If user confirms: Document the fix and mark as complete
  • If user reports issues: Continue debugging, repeat verification cycle

Prohibited Actions (Without User Verification)

  • Claiming a bug is "fixed"
  • Stating functionality is "working"
  • Marking issues as "resolved"
  • Declaring features as "complete"
  • Any success claims about fixes

Required Evidence Before User Verification Request

  1. Technical tests passing
  2. Visual confirmation via Playwright/screenshots
  3. Specific test scenarios executed
  4. Clear description of what was changed

Remember: The user is the final authority on whether something is fixed. No exceptions.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

30.55%
按下载量换算65

Antigravity

24.19%
按下载量换算52

Gemini CLI

19.48%
按下载量换算42

Codex

11.84%
按下载量换算25

windsurf

8.32%
按下载量换算18

OpenCode

3.23%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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