# Agent Skill Integration Analysis

**Generated**: 2026-02-02
**Total Agents Analyzed**: 21
**Analysis Scope**: All `.claude/agents/*.md` files

## Executive Summary

| Integration Level | Count | Percentage |
|-------------------|-------|------------|
| EXCELLENT | 6 | 28.6% |
| GOOD | 8 | 38.1% |
| POOR | 0 | 0% |
| NONE | 7 | 33.3% |

**Key Findings**:
- 66.7% of agents have some form of skill integration (EXCELLENT + GOOD)
- 33.3% of agents have NO skill integration at all
- No agents have POOR integration (all are either good/excellent or none)
- Several agents without skill integration could benefit from it
- YAML frontmatter skill declarations are underutilized

---

## Detailed Analysis by Agent

### EXCELLENT Integration (6 agents)

#### 1. analysis-swarm.md (419 lines)
**Skill Integration**: Lines 15-22

```yaml
## Skills
You have access to:
- **analysis-swarm**: Core methodology and persona definitions
- **code-quality**: For validating quality concerns
- **build-compile**: For testing implementation concerns
- **test-runner**: For validating test coverage claims
```

**Why EXCELLENT**:
- Clear mapping of specific skills to specific purposes
- Explains WHY each skill is needed
- Contextual usage guidance (when to use which skill)
- Integrates skills into agent's multi-persona framework

**Best Practice Example**: The agent explains not just WHAT skills it has, but WHEN and WHY to use each one.

---

#### 2. architecture-validator.md (509 lines)
**Skill Integration**: Lines 6, 508-509

**YAML Frontmatter**:
```yaml
skills: [architecture-validation]
```

**Explicit Invocation**: Line 508-509
```markdown
Use the `architecture-validation` skill for domain-specific validation patterns and utilities.
```

**Why EXCELLENT**:
- Skill declared in YAML frontmatter (formal declaration)
- Explicit invocation instruction in agent body
- Clear purpose for the skill
- Self-learning mechanism with feedback loop

**Best Practice Example**: Demonstrates proper dual approach - YAML declaration + explicit invocation instruction.

---

#### 3. code-quality.md (537 lines)
**Skill Integration**: Lines 472-477

```markdown
## Skills Used

This agent leverages:
- **code-quality** skill: Rust quality standards and best practices
- **test-runner** skill: Verify fixes don't break tests
```

**Why EXCELLENT**:
- Dedicated "Skills Used" section
- Clear relationship mapping (agent → skill → purpose)
- Integration with agent coordination (lines 478-485)
- Specific examples of skill invocation (lines 514-524)

**Best Practice Example**: Shows how to document skill integration with clear purpose mapping.

---

#### 4. goap-agent.md (735 lines)
**Skill Integration**: Lines 19-29, 491-513

```markdown
## Skills

You have access to:
- **task-decomposition**: Break down complex tasks into atomic, actionable goals
- **agent-coordination**: Coordinate multiple agents through various execution strategies
- **parallel-execution**: Manage parallel agent execution with synchronization
- **loop-agent**: Execute iterative workflows with convergence detection
- **episode-start**: Track planning and coordination as learning episodes
- **episode-log-steps**: Log coordination steps and decision points
- **episode-complete**: Score coordination effectiveness and extract patterns
```

**Episode Tracking Integration** (Lines 491-513):
```markdown
As a GOAP Agent, track all coordination activities as episodes:
- Episode Start: TaskContext with language/domain/tags
- Log Steps: Decomposition decisions, agent selection, coordination strategy
- Episode Complete: Score based on goal achievement, efficiency, quality
```

**Why EXCELLENT**:
- Comprehensive skill list (7 skills) with descriptions
- Skills integrated into episode tracking (self-learning pattern)
- Each skill has clear purpose description
- Skills mapped to agent's core coordination methodology

**Best Practice Example**: Shows how to integrate multiple skills into a complex agent workflow with self-learning patterns.

---

#### 5. plan-gap-analyzer.md (457 lines)
**Skill Integration**: Lines 6, 457

**YAML Frontmatter**:
```yaml
skills: [plan-gap-analysis]
```

**Explicit Invocation**: Line 457
```markdown
When the user invokes this agent, systematically execute the plan gap analysis skill
```

**Why EXCELLENT**:
- Formal skill declaration in YAML
- Direct invocation instruction
- Skill name clearly matches agent purpose
- Methodology documented as skill-based

**Best Practice Example**: Clean pattern of YAML declaration + clear invocation command.

---

#### 6. rust-quality-reviewer.md (611 lines)
**Skill Integration**: Lines 6, 610

**YAML Frontmatter**:
```yaml
skills: [rust-code-quality]
```

**Explicit Invocation**: Line 610
```markdown
When invoked, conduct a comprehensive Rust code quality review using the rust-code-quality skill.
```

**Why EXCELLENT**:
- YAML frontmatter declaration
- Clear invocation with context ("comprehensive")
- Skill name matches domain (rust-code-quality)
- Professional documentation approach

**Best Practice Example**: Shows formal skill declaration with descriptive invocation.

---

### GOOD Integration (8 agents)

#### 7. agent-creator.md (782 lines)
**Skill Integration**: Lines 17-18, 215-219, 620-634

```markdown
Core Mission
- Integrate with existing skills and agents

Integration Guidelines
### With Skills
Agents should leverage skills for reusable knowledge:

## Skills Used
This agent uses the following skills:
- **skill-name-1**: For [purpose]
- **skill-name-2**: For [purpose]

When [scenario], invoke skill-name-1 for guidance.
```

**Why GOOD**:
- Provides template/guidance for skill integration
- Shows how agents SHOULD integrate skills
- Methodology for skill-based agent creation

**Missing for EXCELLENT**:
- Doesn't reference specific skills for itself
- Focuses on teaching rather than demonstrating

---

#### 8. build-compile.md (479 lines)
**Skill Integration**: Lines 15-20

```markdown
## Skills

You have access to the following skills:
- build-compile: Rust build operations and compilation strategies
- code-quality: Ensure code meets quality standards before building
```

**Why GOOD**:
- Clear skill listing
- Skill names match agent function
- Descriptive purpose for each skill

**Missing for EXCELLENT**:
- No invocation examples
- No integration with other agents/skills
- Could benefit from specific skill invocation patterns

---

#### 9. code-reviewer.md (352 lines)
**Skill Integration**: Lines 15-21

```markdown
## Skills

You have access to:
- code-quality: Run rustfmt, clippy, and other quality tools
- build-compile: Ensure code builds correctly
- test-runner: Verify tests pass
```

**Why GOOD**:
- Specific skills listed
- Clear mapping to agent's workflow
- Each skill has clear purpose

**Missing for EXCELLENT**:
- No invocation examples
- No coordination examples
- Could show WHEN to invoke each skill

---

#### 10. debugger.md (482 lines)
**Skill Integration**: Lines 15-22

```markdown
## Skills

You have access to:
- debug-troubleshoot: Comprehensive debugging guide
- test-runner: Run tests to verify fixes
- code-quality: Check for code quality issues
- build-compile: Verify builds after fixes
```

**Why GOOD**:
- Comprehensive skill set for debugging
- Each skill has specific debugging purpose
- Skills cover full debugging workflow

**Missing for EXCELLENT**:
- No invocation examples
- No workflow integration showing skill sequencing
- Could benefit from skill-based debugging methodology

---

#### 11. feature-implementer.md (492 lines)
**Skill Integration**: Lines 16-23

```markdown
## Skills

You have access to:
- feature-implement: Systematic feature implementation guide
- test-runner: Run tests for new features
- code-quality: Ensure quality standards
- build-compile: Verify builds
```

**Why GOOD**:
- Clear skill list matching feature implementation workflow
- Skills cover implementation → testing → quality → build pipeline
- Logical skill ordering

**Missing for EXCELLENT**:
- No specific invocation patterns
- No integration examples
- Could show skill usage in implementation phases

---

#### 12. loop-agent.md (814 lines)
**Skill Integration**: Lines 662-667

```markdown
### With Skills
Loop-agent can leverage skills each iteration:
- test-fix skill: For systematic test fixing
- rust-code-quality skill: For quality validation
```

**Why GOOD**:
- Skills integrated into iteration workflow
- Clear purpose for each skill in loop context
- Specific to agent's iterative nature

**Missing for EXCELLENT**:
- Very brief (only 2 skills mentioned)
- No invocation examples
- Could be more comprehensive

---

#### 13. do-memory-cli.md (573 lines)
**Skill Integration**: Lines 15-22

```markdown
## Skills

You have access to:
- do-memory-cli-ops: CLI operations, commands, and usage patterns
- test-runner: Run CLI tests (unit, integration, security, performance)
- code-quality: Ensure CLI code meets quality standards
- build-compile: Build and verify CLI binary
```

**Why GOOD**:
- Comprehensive skill set for CLI development
- Skills cover all aspects: operations, testing, quality, building
- Clear purpose mapping

**Missing for EXCELLENT**:
- No specific invocation examples
- No workflow integration
- Could show skill usage in CLI development phases

---

#### 14. refactorer.md (498 lines)
**Skill Integration**: Lines 15-22

```markdown
## Skills

You have access to:
- code-quality: Run quality checks
- test-runner: Ensure tests pass after refactoring
- build-compile: Verify builds
- debug-troubleshoot: Handle issues during refactoring
```

**Why GOOD**:
- Skills cover refactoring workflow (quality → tests → build → debug)
- Clear purpose for each skill
- Matches agent's refactoring mission

**Missing for EXCELLENT**:
- No invocation examples
- No integration with refactoring scenarios
- Could show skill usage in specific refactoring patterns

---

### NO Integration (7 agents)

#### 15. async-tester.md (89 lines)
**Status**: No skill mentions

**Skills That Would Help**:
- **rust-async-testing**: Async testing patterns and methodologies
- **test-runner**: Test execution and management
- **quality-unit-testing**: Unit testing best practices

**Recommendation**: Add skills section with async testing patterns and methodologies.

---

#### 16. codebase-analyzer.md (143 lines)
**Status**: No skill mentions

**Current Focus**: Documentation/explanation of existing code only (CRITICAL section lines 10-17: "DO NOT suggest improvements")

**Skills That Would Help**:
- **codebase-analyzer**: (if exists) Analysis patterns
- **context-retrieval**: Finding relevant past analyses
- **architecture-validation**: Understanding codebase structure

**Recommendation**: Even documentation agents could benefit from skills for:
- Standardized analysis patterns
- Context retrieval from similar past analyses
- Architecture understanding frameworks

**Note**: May be intentional (pure documentation agent), but skill integration could improve consistency.

---

#### 17. codebase-locator.md (121 lines)
**Status**: No skill mentions

**Current Focus**: File location only (not content analysis)

**Skills That Would Help**:
- **codebase-locator**: (if exists) Location strategies
- **context-retrieval**: Finding related code locations
- **architecture-validation**: Understanding codebase organization

**Recommendation**: Add skills for:
- Systematic search strategies
- Codebase organization patterns
- Efficient location techniques

**Note**: Similar to codebase-analyzer, may be intentionally minimal but could benefit from skill-based search strategies.

---

#### 18. test-architect.md (75 lines)
**Status**: No skill mentions

**Skills That Would Help**:
- **quality-unit-testing**: Unit testing best practices
- **episodic-memory-testing**: Domain-specific testing patterns
- **test-optimization**: Test optimization strategies

**Recommendation**: Add skills section covering:
- Test strategy design patterns
- Testing methodologies
- Coverage optimization strategies

**Note**: As an architect, would benefit greatly from methodology skills.

---

#### 19. web-search-researcher.md (109 lines)
**Status**: No skill mentions

**Current Tools**: WebSearch, WebFetch, TodoWrite, Read, Grep, Glob, LS

**Skills That Could Help**:
- **web-search-researcher**: (if exists as skill) Research methodologies
- **perplexity-researcher-reasoning-pro**: Complex reasoning for research
- **general**: Research strategies

**Recommendation**: Add skills for:
- Research methodology patterns
- Source evaluation strategies
- Information synthesis techniques

**Note**: Focuses on tools rather than skills, but skill integration could improve research quality and consistency.

---

## Integration Quality Categories

### EXCELLENT Integration Pattern

Agents with EXCELLENT integration share these characteristics:

1. **YAML Frontmatter Declaration**: `skills: [skill-name]`
2. **Explicit Invocation Instructions**: "Use the X skill for Y purpose"
3. **Clear Purpose Mapping**: Each skill has specific, documented purpose
4. **Integration Examples**: Shows HOW and WHEN to invoke skills
5. **Contextual Usage**: Explains skill usage in specific scenarios

**Template for EXCELLENT Integration**:
```yaml
---
name: agent-name
description: Clear description
tools: [Tool1, Tool2]
skills: [primary-skill, secondary-skill]
---

# Agent Name

## Skills

You have access to:
- **primary-skill**: Core methodology and patterns for [specific domain]
- **secondary-skill**: Supporting capability for [specific purpose]

## Integration

When [specific scenario], invoke primary-skill for [outcome].

Use primary-skill to:
- [Specific usage 1]
- [Specific usage 2]
```

---

### GOOD Integration Pattern

Agents with GOOD integration have:

1. **Skills Section**: Dedicated "## Skills" or similar section
2. **Skill Listing**: Lists available skills
3. **Purpose Mapping**: Each skill has clear purpose
4. **Agent Coordination**: Often mentions working with other agents

**Template for GOOD Integration**:
```markdown
## Skills

You have access to:
- **skill-name-1**: Purpose description
- **skill-name-2**: Purpose description

## Coordination

Works with:
- agent-name: For [purpose]
- skill-name-2: When [scenario]
```

---

### NO Integration Pattern

Agents with NO integration:

1. **No Skills Section**: No mention of skills anywhere
2. **Tool-Only Focus**: Rely on tools (Read, Grep, Bash, etc.)
3. **Missing Opportunities**: Could benefit from skill-based methodologies
4. **Inconsistency**: Different approach than similar agents

---

## Best Practices Found

### 1. Dual Declaration Pattern

**From**: architecture-validator, plan-gap-analyzer, rust-quality-reviewer

```yaml
---
skills: [skill-name]
---
```

Plus explicit invocation in body.

**Why Good**:
- Formal declaration in frontmatter
- Clear invocation instruction in content
- Redundancy ensures clarity

---

### 2. Purpose-Mapped Skills

**From**: analysis-swarm, goap-agent

```markdown
- **skill-name**: For [specific purpose]
- **another-skill**: When [specific scenario]
```

**Why Good**:
- Not just listing skills
- Explains WHEN and WHY to use each
- Contextual guidance

---

### 3. Episode-Integrated Skills

**From**: goap-agent

```markdown
- **episode-start**: Track planning and coordination as learning episodes
- **episode-log-steps**: Log coordination steps and decision points
- **episode-complete**: Score coordination effectiveness and extract patterns
```

**Why Good**:
- Skills integrated into self-learning system
- Episode-based tracking
- Continuous improvement loop

---

### 4. Workflow-Integrated Skills

**From**: loop-agent, code-quality

```markdown
This agent leverages skills for:
- [Phase 1]: skill-name-1
- [Phase 2]: skill-name-2
```

**Why Good**:
- Skills mapped to workflow phases
- Clear sequential guidance
- Process-oriented integration

---

## Improvement Opportunities

### Agents That Need Skill Integration

#### Priority 1: High Impact

**test-architect.md** (75 lines)
- **Current**: No skills
- **Impact**: Test strategy is core to project quality
- **Recommended Skills**:
  - quality-unit-testing: Testing best practices
  - episodic-memory-testing: Domain-specific patterns
  - test-optimization: Performance optimization

**async-tester.md** (89 lines)
- **Current**: No skills
- **Impact**: Async testing is critical for Tokio-based project
- **Recommended Skills**:
  - rust-async-testing: Async/await patterns
  - quality-unit-testing: Unit test structure
  - test-fix: Debugging test failures

---

#### Priority 2: Medium Impact

**web-search-researcher.md** (109 lines)
- **Current**: Tool-focused only
- **Impact**: Research quality affects decision-making
- **Recommended Skills**:
  - perplexity-researcher-reasoning-pro: Complex research scenarios
  - web-search-researcher: (if exists as skill) Methodology patterns

**codebase-analyzer.md** (143 lines)
- **Current**: Explicitly no improvements (documentation only)
- **Impact**: Analysis consistency could improve
- **Recommended Approach**:
  - Consider if skills would help documentation consistency
  - Skills for standardized analysis patterns
  - Context retrieval for similar past analyses

**codebase-locator.md** (121 lines)
- **Current**: File location only
- **Impact**: Search efficiency could improve
- **Recommended Skills**:
  - Systematic search strategies
  - Codebase organization patterns

---

### YAML Frontmatter Adoption

**Current State**: Only 3/21 agents use YAML frontmatter for skills
- architecture-validator
- plan-gap-analyzer
- rust-quality-reviewer

**Recommendation**: All agents should adopt YAML frontmatter:

```yaml
---
name: agent-name
description: Agent description
tools: [Tool1, Tool2]
skills: [primary-skill, secondary-skill]  # Add this
---
```

**Benefits**:
- Formal skill declaration
- Easier skill discovery
- Consistent pattern across all agents
- Tool-native skill loading

---

## Statistical Summary

### Integration Level Distribution

```
EXCELLENT  ████████████████████  6 agents (28.6%)
GOOD       ████████████████████████████  8 agents (38.1%)
NONE       ████████████████████  7 agents (33.3%)
POOR                                0 agents (0%)
```

### Skill Invocation Patterns

| Pattern | Count | Percentage |
|---------|-------|------------|
| YAML frontmatter only | 3 | 14.3% |
| Body section only | 11 | 52.4% |
| Both YAML + body | 3 | 14.3% |
| No skills | 7 | 33.3% |

### Skill Categories Referenced

1. **Testing**: test-runner, test-fix, rust-async-testing, quality-unit-testing
2. **Quality**: code-quality, rust-code-quality
3. **Build/Compile**: build-compile
4. **Debugging**: debug-troubleshoot, test-fix
5. **Coordination**: agent-coordination, task-decomposition, parallel-execution
6. **Domain-Specific**: do-memory-cli-ops, architecture-validation, plan-gap-analysis
7. **Episodic Memory**: episode-start, episode-log-steps, episode-complete

---

## Recommendations

### For Agents with NO Skill Integration

1. **Immediate Actions**:
   - Add "## Skills" section to agent body
   - Identify 2-4 relevant skills from available skills
   - Document WHEN and WHY to invoke each skill
   - Provide usage examples

2. **Template to Follow**:
```markdown
## Skills

You have access to:
- **skill-name**: For [specific purpose]
- **another-skill**: When [specific scenario]

When [use case], invoke skill-name for [outcome].
```

### For Agents with GOOD Integration

1. **Upgrade to EXCELLENT**:
   - Add YAML frontmatter: `skills: [skill-list]`
   - Add invocation examples
   - Document skill coordination patterns
   - Show specific skill usage in workflows

2. **Template to Follow**:
```yaml
---
skills: [primary-skill, secondary-skill]
---
```

Plus body content showing invocation patterns.

### For All Agents

1. **Standardize Pattern**:
   - Use YAML frontmatter for skill declaration
   - Use "## Skills" section in body
   - Include purpose mapping for each skill
   - Provide invocation examples

2. **Cross-Reference Skills**:
   - Link to skill documentation when available
   - Show skill coordination patterns
   - Document skill dependencies

3. **Maintain Consistency**:
   - All agents should have skill integration
   - Similar agents should use similar skills
   - Skill naming should be consistent

---

## Next Steps

### Immediate (Phase 1)

1. **Update Agents with NO Integration**:
   - async-tester.md: Add rust-async-testing, quality-unit-testing
   - test-architect.md: Add quality-unit-testing, episodic-memory-testing
   - web-search-researcher.md: Add research methodology skills

2. **Standardize GOOD → EXCELLENT**:
   - Add YAML frontmatter to all GOOD agents
   - Add invocation examples to GOOD agents

### Short-term (Phase 2)

3. **Create Skill Documentation**:
   - Document each skill's purpose
   - Create skill usage examples
   - Map skills to agents

4. **Skill Coordination Patterns**:
   - Document how skills work together
   - Show multi-skill workflows
   - Create skill dependency graphs

### Long-term (Phase 3)

5. **Continuous Improvement**:
   - Track skill usage effectiveness
   - Update skills based on agent feedback
   - Retire unused skills
   - Create new skills for emerging patterns

6. **Skill Ecosystem**:
   - Build skill library
   - Create skill composition patterns
   - Implement skill versioning
   - Track skill dependencies

---

## Appendix: Complete Agent List

| Agent | Integration | Skills Referenced | Notes |
|-------|-------------|-------------------|-------|
| agent-creator.md | GOOD | Template/guidance | Teaches skill integration |
| analysis-swarm.md | EXCELLENT | 4 skills | Excellent purpose mapping |
| architecture-validator.md | EXCELLENT | 1 (YAML) | Self-learning pattern |
| async-tester.md | NONE | - | Needs async testing skills |
| build-compile.md | GOOD | 2 skills | Clear skill mapping |
| code-quality.md | EXCELLENT | 2 skills | Dedicated section |
| code-reviewer.md | GOOD | 3 skills | Workflow mapping |
| debugger.md | GOOD | 4 skills | Comprehensive set |
| feature-implementer.md | GOOD | 4 skills | Pipeline coverage |
| goap-agent.md | EXCELLENT | 7 skills | Episode integration |
| loop-agent.md | GOOD | 2 skills | Iteration-focused |
| do-memory-cli.md | GOOD | 4 skills | CLI-specific |
| plan-gap-analyzer.md | EXCELLENT | 1 (YAML) | Formal declaration |
| refactorer.md | GOOD | 4 skills | Refactoring workflow |
| rust-quality-reviewer.md | EXCELLENT | 1 (YAML) | Professional approach |
| test-architect.md | NONE | - | Needs methodology skills |
| test-runner.md | GOOD | 3 skills | Testing coverage |
| codebase-analyzer.md | NONE | - | Doc-only (intentional?) |
| codebase-locator.md | NONE | - | Location-only (intentional?) |
| web-search-researcher.md | NONE | - | Tool-focused |

---

**Report Generated**: 2026-02-02
**Analysis Method**: Systematic review of all 21 agent files
**Analysis Tool**: Manual content analysis with pattern recognition
