Why Use This This skill provides specialized capabilities for shinpr's codebase.
Use Cases Developing new features in the shinpr repository Refactoring existing code to follow shinpr standards Understanding and working with shinpr's codebase structure
Install Guide 2 steps 1 2 Install inside Ananke
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https://github.com/shinpr/claude-code-workflows/tree/main/skills/task-analyzer Skill Snapshot Auto scan of skill assets. Informational only.
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Source & Community
Updated At Jan 16, 2026, 04:26 AM
Skill Stats
SKILL.md 128 Lines
Total Files 1
Total Size 0 B
License NOASSERTION
---
name: task-analyzer
description: Performs metacognitive task analysis and skill selection. Use when determining task complexity, selecting appropriate skills, or estimating work scale.
---
# Task Analyzer
Provides metacognitive task analysis and skill selection guidance.
## Skills Index
See **[skills-index.yaml](references/skills-index.yaml)** for available skills metadata.
## Task Analysis Process
### 1. Understand Task Essence
Identify the fundamental purpose beyond surface-level work:
| Surface Work | Fundamental Purpose |
|--------------|---------------------|
| "Fix this bug" | Problem solving, root cause analysis |
| "Implement this feature" | Feature addition, value delivery |
| "Refactor this code" | Quality improvement, maintainability |
| "Update this file" | Change management, consistency |
**Action**: Map the user request to one row in the Surface Work → Fundamental Purpose table above. If no row matches, state the fundamental purpose explicitly before proceeding.
### 2. Estimate Task Scale
| Scale | File Count | Indicators |
|-------|------------|------------|
| Small | 1-2 | Single function/component change |
| Medium | 3-5 | Multiple related components |
| Large | 6+ | Cross-cutting concerns, architecture impact |
**Scale affects skill priority:**
- Scale >= Large → include documentation-criteria and implementation-approach in selectedSkills with priority high
- Scale = Small → limit selectedSkills to task-type essential skills only (max 3)
### 3. Identify Task Type
| Type | Characteristics | Key Skills |
|------|-----------------|------------|
| Implementation | New code, features | coding-principles, testing-principles |
| Fix | Bug resolution | ai-development-guide, testing-principles |
| Refactoring | Structure improvement | coding-principles, ai-development-guide |
| Design | Architecture decisions | documentation-criteria, implementation-approach |
| Quality | Testing, review | testing-principles, integration-e2e-testing |
### 4. Tag-Based Skill Matching
Extract relevant tags from task description and match against skills-index.yaml:
```yaml
Task: "Implement user authentication with tests"
Extracted tags: [implementation, testing, security]
Matched skills:
- coding-principles (implementation, security)
- testing-principles (testing)
- ai-development-guide (implementation)
```
### 5. Implicit Relationships
Consider hidden dependencies:
| Task Involves | Also Include |
|---------------|--------------|
| Error handling | debugging, testing |
| New features | design, implementation, documentation |
| Performance | profiling, optimization, testing |
| Frontend | typescript-rules, test-implement |
| API/Integration | integration-e2e-testing |
## Output Format
Return structured analysis with skill metadata from skills-index.yaml:
```yaml
taskAnalysis:
essence: <string> # Fundamental purpose identified
type: <implementation|fix|refactoring|design|quality>
scale: <small|medium|large>
estimatedFiles: <number>
tags: [<string>, ...] # Extracted from task description
selectedSkills:
- skill: <skill-name> # From skills-index.yaml
priority: <high|medium|low>
reason: <string> # Why this skill was selected
# Pass through metadata from skills-index.yaml
tags: [...]
typical-use: <string>
size: <small|medium|large>
sections: [...] # All sections from yaml, unfiltered
```
**Note**: Section selection (choosing which sections are relevant) is done after reading the actual SKILL.md files.
## Skill Selection Priority
1. **Essential** - Directly related to task type
2. **Quality** - Testing and quality assurance
3. **Process** - Workflow and documentation
4. **Supplementary** - Reference and best practices
## Metacognitive Question Design
Generate 3-5 questions according to task nature:
| Task Type | Question Focus |
|-----------|----------------|
| Implementation | Design validity, edge cases, performance |
| Fix | Root cause (5 Whys), impact scope, regression testing |
| Refactoring | Current problems, target state, phased plan |
| Design | Requirement clarity, future extensibility, trade-offs |
## Warning Patterns
Detect and flag these patterns:
| Pattern | Warning | Mitigation |
|---------|---------|------------|
| Large change detected | Pair with implementation-approach | Split into phases per strategy |
| Implementation task detected | Pair with testing-principles | Apply TDD from start |
| Error fix requested | Pair with ai-development-guide | Apply 5 Whys before fixing |
| Multi-file task without plan | Pair with documentation-criteria | Create work plan first |