hatch3r-logical-refactor

Solid

Workflow for changing behavior or logic flow without adding new features or overhauling UI. Use when modifying business logic, data flows, behavioral rules, or working on logical refactor issues.

AI & Automation 26 stars 4 forks Updated 1 weeks ago MIT

Install

View on GitHub

Quality Score: 83/100

Stars 20%
48
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

> **Note:** Commands below use `npm` as an example. Substitute with your project's package manager (`yarn`, `pnpm`, `bun`) or build tool when your project uses a different package manager. # Logical Refactor Workflow ## Quick Start ``` Task Progress: - [ ] Step 0: Detect ambiguity (P8 B1) - [ ] Step 1: Read the issue, specs, and existing tests - [ ] Step 2: Produce a change plan - [ ] Step 3: Implement the behavior change - [ ] Step 4: Update tests and verify invariants - [ ] Step 5: Open PR ``` ## Step 0 — Detect Ambiguity (P8 B1) Before any work, scan the invocation for unresolved questions in scope, intent, acceptance criteria, target environment, or irreversibility. If any are found, ask the user via the platform-native question tool per `agents/shared/user-question-protocol.md`. Do not proceed under silent assumption. Default path, not an exception. Triggers for THIS skill: invariants to preserve vs change, before/after behavior specification, downstream consumer impact, spec update authority (this PR vs follow-up), and characterization-test requirement when current behavior is undertested. ## Fan-out Discipline (P8 B2) Fan-out scales with task size; token cost never justifies serializing independent work (`rules/hatch3r-fan-out-discipline.md` P8 B2; `agents/shared/efficiency-patterns.md`). Emit `sub_agents_spawned: { count, rationale, task_structure }` in your output. ## Step 1: Read Inputs - Parse the issue body: motivation, before/after behavior, invariants p...

Details

Author
hatch3r
Repository
hatch3r/hatch3r
Created
5 months ago
Last Updated
1 weeks ago
Language
TypeScript
License
MIT

Integrates with

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category