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am-agent-code-refactor

AI Community
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Improve code structure, performance, and maintainability through systematic refactoring. Specializes in legacy modernization and…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “Role”, “Refactoring Expertise”, “Refactoring Methodology”, “Common Refactoring Patterns”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name am-agent-code-refactor directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “Role / Refactoring Expertise / Refactoring Methodology” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / shell-exec; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.
Fluxly profile Author and license come from source; runtime, permissions, and network are Fluxly detections or estimates
Fluxly category
AI
Author-declared agents
No explicit declaration found; this is not inferred or tested compatibility
Static check
88 / 100 · heuristic scan, not runtime safety proof
Author / version / license
@sampleXbro · no license declared
Fluxly token estimate
Lean
Fluxly setup estimate
Guided setup
External API key
No requirement detected
Detected OS requirements
Unspecified
Runtime requirements
Unspecified
Detected file/system behavior
  • Read-only
  • Shell exec
Detected network behavior
Local-only
Install commands
None (reference only)

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview am-agent-code-refactor.preview 
The current SKILL.md does not define a fixed output example.

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