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Delegate

Productivity
delegate

Delegate is an Agent Skill for productivity published in the Hmbown/CodeWhale repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Strategic delegation for multi-step coding, research, or verification work. Use when a task can be split into parent reasoning plus focused sub-agent execution through the agent tool.

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/Hmbown/CodeWhale/blob/HEAD/crates/tui/assets/skills/delegate/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/delegate, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

Delegate

Use sub-agents when they can do focused work in parallel while the parent keeps architectural judgment, integration, and final verification.

Keep vs Delegate

Keep in the parent:

  • Understanding the user's actual request and constraints
  • Architecture, security, product, and release-risk decisions
  • Cross-module integration
  • Final review, test interpretation, and user-facing summary

Delegate to sub-agents:

  • Read-only exploration over a bounded file set
  • Mechanical edits with a clear file ownership boundary
  • Focused test or lint runs
  • Boilerplate generation from an explicit spec
  • Independent checks that can run while parent work continues

Do not delegate tiny one-step tasks, ambiguous product decisions, destructive operations without a clear acceptance criterion, or final verification.

Launch Focused Work

Use agent for a focused child run. Launch independent children together so they can run in parallel.

Prefer provider-neutral model_strength over hardcoded model ids — type: "explore" already defaults to model_strength: "faster" (the cheaper same-family sibling), so for read-only exploration you can usually omit it entirely:

{
  "name": "config_audit",
  "prompt": "Inspect crates/tui/src/config.rs and crates/tui/src/settings.rs for duplicate model-default logic. Return file/line findings only; do not edit files.",
  "type": "explore",
  "model_strength": "faster",
  "cwd": "."
}

For code changes, give the child a precise write boundary and tell it not to revert unrelated edits. Keep implementation children capable with model_strength: "same":

{
  "name": "docs_patch",
  "prompt": "Update only docs/configuration.md to document the new [statusline] keys. Match the surrounding style. Do not edit other files.",
  "type": "implementer",
  "model_strength": "same",
  "cwd": "."
}

Use fork_context: true only when the child genuinely needs the current conversation prefix. Leave it omitted for fresh, narrower context.

Evaluate and Verify

Sub-agent outputs are self-reports. Re-check material claims before relying on them:

  • Read changed files directly.
  • Run the relevant tests locally.
  • Inspect unexpected diffs before committing.
  • Verify externally visible or destructive claims against source data.

Prompt Shape

A good delegation prompt includes:

  • The exact task
  • Files or modules owned by the child
  • Files or behavior the child must not touch
  • Expected output format
  • Acceptance criteria

Weak prompt:

Fix the settings bug.

Strong prompt:

Own only crates/tui/src/settings.rs and its tests. Preserve existing config key names. Add a regression test showing that provider-specific API key changes do not restart DeepSeek onboarding. Return the changed paths and test command output.