Skip to main content

orchestrate-batch-refactor

Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.

Quellinformationen

Repository
Dimillian/Skills
Letzte Quellaktivität
19. März 2026 um 07:52
Erkannte Sprache von SKILL.md
Englisch
Sterne
4.026
Forks
208

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
4 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
orchestrate-batch-refactor
description
Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution.
# Orchestrate Batch Refactor ## Overview Use this skill to run high-throughput refactors safely. Analyze scope in parallel, synthesize a single plan, then execute independent work packets with sub-agents. ## Inputs - Repo path and target scope (paths, modules, or feature area) - Goal type: refactor, rewrite, or hybrid - Constraints: behavior parity, API stability, deadlines, test requirements ## When to Use Parallelization - Use this skill for medium/large scope touching many files or subsystems. - Skip multi-agent execution for tiny edits or highly coupled single-file work. ## Core Workflow 1. Define scope and success criteria. - List target paths/modules and non-goals. - State behavior constraints (for example: preserve external behavior). 2. Run parallel analysis first. - Split target scope into analysis lanes. - Spawn `explorer` sub-agents in parallel to analyze each lane. - Ask each agent for: intent map, coupling risks, candidate work packets, required validations. 3. Build one dependency-aware plan. - Merge explorer output into a single work graph. - Create work packets with clear file ownership and validation commands. - Sequence packets by dependency level; run only independent packets in parallel. 4. Execute with worker agents. - Spawn one `worker` per independent packet. - Assign explicit ownership (files/responsibility). - Instruct every worker that they are not alone in the codebase and must ignore unrelated edits. 5. Integrate and verify. - Review packet outputs, resolve overlaps, and run validation gates. - Run targeted tests per packet, then broader suite for integrated scope. 6. Report and close. - Summarize packet outcomes, key refactors, conflicts resolved, and residual risks. ## Work Packet Rules - One owner per file per execution wave. - No parallel edits on overlapping file sets. - Keep packet goals narrow and measurable. - Include explicit done criteria and required checks. - Prefer behavior-preserving refactors unless user explicitly requests behavior change. ## Planning Contract Every packet must include: 1. Packet ID and objective. 2. Owned files. 3. Dependencies (none or packet IDs). 4. Risks and invariants to preserve. 5. Required checks. 6. Integration notes for main thread. Use [`references/work-packet-template.md`](references/work-packet-template.md) for the exact shape. ## Agent Prompting Contract - Use the prompt templates in [`references/agent-prompt-templates.md`](references/agent-prompt-templates.md). - Explorer prompts focus on analysis and decomposition. - Worker prompts focus on implementation and validation with strict ownership boundaries. ## Safety Guardrails - Do not start worker execution before plan synthesis is complete. - Do not parallelize across unresolved dependencies. - Do not claim completion if any required packet check fails. - Stop and re-plan when packet boundaries cause repeated merge conflicts. ## Validation Strategy Run in this order: 1. Packet-level checks (fast and scoped). 2. Cross-packet integration checks. 3. Full project safety checks when scope is broad. Prefer fast feedback loops, but never skip required behavior checks.
Auf GitHub ansehen