Subagent-Driven Development

SkillProductivity

Executes an approved implementation plan through fresh implementer and reviewer agents for each task, with explicit handoffs, focused tests, and task-by-task integration. Use for multi-task work where independent agent context improves implementation and review quality. Not for a single small edit, an unresolved design, or a failure that still needs root-cause analysis.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Subagent-Driven Development skill

What this skill tells your AI

The instructions your AI receives, as published by thiientv/godmode in skills/subagent-driven-development/SKILL.md and read by ahel’s review.

Use fresh context to reduce author bias, while keeping the plan and evidence as the shared contract.

Before dispatch

  • Confirm the design and implementation plan are approved.
  • Create or select an isolated workspace when concurrent edits need it.
  • Split the plan into tasks with disjoint ownership and explicit interfaces.
  • Define the focused test and review gate for each task.
  • Prepare a compact handoff packet from handoff-packet.md. Include verified facts and portable anchors, not a full conversation dump or the expected solution.

Per-task cycle

  1. Give the implementer the handoff packet, repository rules, and only the context needed for the task. Ask it to edit the files directly and report evidence.
  2. Inspect the implementation diff and run the focused test yourself.
  3. Give a fresh reviewer the task contract, diff, and test output—not the implementer's private reasoning or your expected answer.
  4. Validate every finding against the real code path.
  5. Fix in scope, rerun proof, and only then dispatch the next task.

If a task reveals a design contradiction, stop and return to solution-design/implementation-planning; do not make the subagent silently redesign the system. Keep unrelated agents independent and close them when finished.

Integration

The coordinator owns final interfaces, conflict resolution, broader tests, and the completion claim. Agent success is an input, never final evidence. Use requesting-code-review for a final aggregate review and completion-verification for closure.

Completion condition

Every task has implementer evidence and reviewer disposition, the integrated branch passes its relevant checks, and remaining limits are visible.

Signals

GitHub stars
94
Forks
77
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
subagent-driven-development-thiientv
Source
github.com/thiientv/godmode