task-analyzer

by @shinpr in AI & LLM

102

# Install this skill:

npx skills add shinpr/claude-code-workflows --skill "task-analyzer"

Install specific skill from multi-skill repository

# Description

Performs metacognitive task analysis and skill selection. Use when determining task complexity, selecting appropriate skills, or estimating work scale. Returns skills with confidence scores and metadata.

# SKILL.md

name: task-analyzer
description: Performs metacognitive task analysis and skill selection. Use when determining task complexity, selecting appropriate skills, or estimating work scale. Returns skills with confidence scores and metadata.

Task Analyzer

Provides metacognitive task analysis and skill selection guidance.

Skills Index

See 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

Key Questions:
- What problem are we really solving?
- What is the expected outcome?
- What could go wrong if we approach this superficially?

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:
- Larger scale → process/documentation skills more important
- Smaller scale → implementation skills more focused

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:

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, typescript-testing
API/Integration	integration-e2e-testing

Output Format

Return structured analysis with skill metadata from skills-index.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

Essential - Directly related to task type
Quality - Testing and quality assurance
Process - Workflow and documentation
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 at once	High risk	Split into phases
Implementation without tests	Quality risk	Follow TDD
Immediate fix on error	Root cause missed	Pause, analyze
Coding without plan	Scope creep	Plan first

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

⚡ Amp 🚀 Antigravity 🤖 Claude Code 🦀 Clawdbot 📝 Codex ▶️ Cursor 🤖 Droid 💎 Gemini CLI 🐙 GitHub Copilot 🪿 Goose 📊 Kilo Code 🔧 Kiro CLI 💻 OpenCode 🦘 Roo Code 🌲 Trae 🏄 Windsurf

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.