task-analyzer
Selects the smallest set of task-execution skills and metacognitive safeguards for standalone task and diagnosis workflows.
npx skills add shinpr/claude-code-workflows --skill task-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Task Analyzer Use [skills-index.yaml](references/skills-index.yaml) as the available skill catalog. Documentation routing and workflow Structural Scale belong to `documentation-criteria`, not this skill. ## Process ### 1. Identify Task Essence State the observable purpose beyond the surface operation. Preserve an explicitly invoked recipe or governing artifact as the entry point. ### 2. Match Skills to Task Evidence Extract task-evidence tags and match them to the catalog. Add a skill only when its rules change the requested action, verification, or handling of a concrete risk. | Task evidence | Consider | |---|---| | Observed defect or failure | `ai-development-guide`, `testing-principles` | | Code implementation or refactoring | `coding-principles`, `testing-principles` | | Requested design artifact | `documentation-criteria` | | Multiple credible implementation strategies requiring cost comparison | `implementation-approach` | | Observable cross-boundary behavior that cannot be proven more cheaply | `integration-e2e-testing` | | React or TypeScript frontend code | `typescript-rules` and applicable frontend testing rules | Select in this order: 1. `governing`: defines the reque
- Process
- 1. Identify Task Essence
- 2. Match Skills to Task Evidence
- 3. Generate Execution Guidance
- Output
- Completion Check
What does the task-analyzer skill do?
Selects the smallest set of task-execution skills and metacognitive safeguards for standalone task and diagnosis workflows.
How do I install it?
Run `npx skills add shinpr/claude-code-workflows --skill task-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From shinpr/claude-code-workflows, a repository with 664 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.