Agent Skill to Orch Refine Code
Agent Skill to Orch Refine Code is a verified SKILL blueprint on Promptally in Fullstack & Backend Engineering optimized for leading AI models. Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | SKILL (Fullstack & Backend Engineering) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 447 |
| Source file | SKILL.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
--- name: orch-refine-code description: Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change. metadata: origin: ECC --- # orch-refine-code Actor · action · target: **orch · refine · code**. Thin wrapper over the shared engine in [`orch-pipeline`](../orch-pipeline/SKILL.md). ## When to Use - Same behavior, **better structure**: extract modules, remove duplication, kill dead code, reduce nesting, rename for clarity. - Distinguish from siblings: if behavior is meant to change at all, this is the wrong skill (`orch-change-feature` / `orch-fix-defect`). ## Operation settings - **Default size floor:** standard — restructures touch multiple files. - **Phase mask:** 0 → 2 (plan the restructure) → 4 (keep green) → 5 → 6. No new behavior tests are written — the existing suite is the safety net. - **First move (phase 4):** confirm the relevant tests exist and are **green before** touching code; if coverage is thin, add characterization tests first. Then restructure in small steps, re-running tests after each. ## How It Works 1. Run the `orch-pipeline` engine with the settings above. 2. For dead-code / duplication sweeps, delegate to the `refactor-cleaner` agent (it runs knip / depcheck / ts-prune and removes safely). 3. Stop at **Gate 1** (restructure plan) and **Gate 2** (pre-commit). 4. Commit as `refactor:` — the diff must be behavior-neutral. ## Example ``` orch-refine-code: extract the NWS HTTP client out of poller.py → confirm tests green → plan extraction [GATE 1: approve] → move in small steps, tests green throughout → code-review → commit refactor: [GATE 2: confirm] ```
How to use this skill
- Review the pre-filled example and source files above.
- Copy the template or download
SKILL.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Agent Skill to Orch Refine Code?
Open the skill on Promptally, review the pre-filled example, then copy the template or download SKILL.md and paste it into your model, IDE or workflow tool. Agent Skill to Orch Refine Code is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Agent Skill to Orch Refine Code free?
Yes. Agent Skill to Orch Refine Code is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Agent Skill to Orch Refine Code need?
Agent Skill to Orch Refine Code is a static blueprint with no dynamic variables. Copy it and use it as-is.