task-analyzer

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

AI & Automation 664 stars 101 forks Updated 2 weeks ago MIT

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Quality Score: 91/100

Stars 20%
94
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# 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 with priority high, preserving the repository's 6+ file planning contract - Scale >= Large and the task changes executable system behavior or requires dependency/phase strategy → also include implementation-approach with priority high - Scale >= Large but the task is research, documentation-only, or mechanical → include implementation-approach...

Details

Author
shinpr
Repository
shinpr/claude-code-workflows
Created
10 months ago
Last Updated
2 weeks ago
Language
JavaScript
License
MIT

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