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/code-subagents

Implementation subagent dispatch patterns. Use when independent implementation work is available and subagents can execute it. Covers parallel dispatch, shared-tree patch snapshots, one combined review per completed batch, and serial integration.

From plugin
atelier
4614 skills3 agents
Install
$ npx -y skills add martinffx/atelier --skill code-subagents --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/code-subagents

Context preview

The summary Claude sees to decide when to auto-load this skill.

Implementation subagent dispatch patterns. Use when independent implementation work is available and subagents can execute it. Covers parallel dispatch, shared-tree patch snapshots, one combined review per completed batch, and serial integration.

SKILL.md

code-subagents.SKILL.md
name: code-subagents
description: >
  Implementation subagent dispatch patterns. Use when independent implementation work is
  available and subagents can execute it. Covers parallel dispatch, shared-tree patch
  snapshots, one combined review per completed batch, and serial integration.
user-invocable: false

Implementation Subagents

Fresh subagent per task. One combined review per completed batch. Parallel when independent, sequential when dependent.

When to Use Subagents

**Use when:**

  • 2+ independent work items do not share state or files
  • Each work item has explicit requirements, constraints, files, and validation
  • Each problem can be understood without context from the other work items

**Don't use when:**

  • Tasks are tightly coupled (editing the same files)
  • You need to understand full system state across tasks
  • Failures are related (fixing one might fix others)
  • Exploratory work where the problem isn't well-defined yet

Dispatch Modes

Sequential (dependent tasks)

Tasks with dependencies execute one at a time. Each gets a fresh subagent — no context pollution from previous tasks.

Task 1 (Entity) → review → complete
Task 2 (Repository, depends on T1) → review → complete
Task 3 (Service, depends on T2) → review → complete

Parallel (independent tasks)

Independent tasks dispatch simultaneously. One agent per problem domain.

Task A (auth tests) ──→ review → complete
Task B (billing tests) ──→ review → complete    ← concurrent
Task C (notification tests) ──→ review → complete

**Independence check:** Would fixing Task A affect Task B? Would they edit the same files? If no to both, dispatch in parallel.

For shared-tree parallel work:

1. Assign each task an exclusive file list before dispatch 2. Do not let implementers stage or commit changes 3. Capture full `git status`, including untracked files, before and after each task 4. Capture the task's path-scoped patch and reject changes outside its assigned paths 5. Run tasks sequentially if their file ownership overlaps or cannot be isolated

---

Prompt Templates

Use these templates when dispatching subagents. Each template is battle-tested — don't improvise, use them as-is and fill in the variables.

  • **[references/implementor-prompt.md](references/implementor-prompt.md)** — Dispatch an implementer. Includes self-review checklist.
  • **[references/batch-reviewer-prompt.md](references/batch-reviewer-prompt.md)** — Combined plan and code-quality review for one completed batch.

Prompt quality rules

  • **Focused** — one task, one problem domain
  • **Self-contained** — all context needed is in the prompt. Provide the complete work-item

requirements; do not make the subagent recover context

  • **Specific about files** — exact paths, not "the relevant files"
  • **Specific about output** — what should the subagent return?
  • **Constrained** — what should they NOT touch?

Common mistakes

| Mistake | Fix | |---------|-----| | "Fix all the tests" | "Fix the 3 failures in user.test.ts" | | No context about codebase | Paste the relevant patterns and conventions | | No constraints | "Do NOT change production code" or scope to specific files | | Vague output expectations | "Return: root cause, changes made, test results" |

---

Batch Review

Run one combined review after every completed batch, not separate reviews for each task.

Give one fresh reviewer:

  • The complete requirements for work items in the batch
  • The relevant constraints
  • The path-scoped patch captured for each task
  • The full changed-file inventory, including untracked files
  • The implementers' reports and validation results

The reviewer checks both requirements compliance and code quality:

1. Every requirement and acceptance criterion is implemented 2. The batch follows the supplied constraints 3. No unrequested work or out-of-scope files are included 4. Tests are meaningful and cover the right boundaries 5. The code follows existing patterns without unnecessary complexity

Use [references/batch-reviewer-prompt.md](references/batch-reviewer-prompt.md) as written.

If the reviewer finds Critical or Important issues, send each issue back to the relevant implementer, refresh its path-scoped patch, and review the batch again. Minor issues may be noted and moved past.

---

Handling Subagent Questions

Subagents may ask questions before or during implementation. This is good — it means they're thinking rather than guessing.

  • Answer clearly and completely
  • Provide additional context if needed
  • Don't rush them into implementation
  • If the question reveals a gap in the plan, that's valuable — note it

---

Integrating Results

After subagents complete (especially parallel dispatch):

1. **Read each summary** — understand what changed 2. **Capture task patches** — use each task's exclusive file list 3. **Review the batch** — one combined requirements and quality review 4. **Run full test suite** — verify all changes work together 5. **Commit** — the coordinator commits the reviewed batch serially 6. **Update progress tracking** — when the caller uses it

If there are conflicts between parallel results, resolve them manually. Don't dispatch another subagent to merge — that requires too much context.

---

When Subagents Fail

If a subagent fails a task:

  • **Don't fix it manually** — that pollutes your context
  • **Dispatch a fix subagent** with specific instructions about what went wrong
  • **If it fails twice**, stop and escalate to the human. The requirements or constraints may

need revision.

Read more
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A personal development toolkit for AI agents. It covers spec-driven development, code quality, and deep thinking. Atelier gives coding agents a disciplined way to move from an idea to reviewed, verified code without taking control away from the developer.

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Repo: martinffx/atelier

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