Agent Skills: task-orchestration

Load PROACTIVELY when decomposing a user request into parallel agent work. Use when user says \"build this\", \"implement this feature\", or any request requiring multiple agents working concurrently. Guides task decomposition into parallelizable units, agent assignment with skill matching, dependency graph construction, and result aggregation. The runtime engine handles WRFC chain coordination automatically via <gv> directives.

orchestrationID: mgd34msu/goodvibes-plugin/task-orchestration

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pnpm dlx add-skill https://github.com/mgd34msu/goodvibes-plugin/tree/HEAD/plugins/goodvibes/skills/task-orchestration

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plugins/goodvibes/skills/task-orchestration/SKILL.md

Skill Metadata

Name
task-orchestration
Description
Decomposing work into parallel subagent tasks using native Workflow/Task tooling and the Write-Review-Fix-Confirm (WRFC) template — no background daemon, no runtime engine. Load when planning how to split work across multiple agents.

task-orchestration

v1's orchestration text predates native multi-agent workflow support and was written around a bespoke runtime engine (a background daemon coordinating agents via IPC, directives, and a phase-machine). That daemon is cut for v2 — the deep review found no standing usage that justified keeping a background process running per session, and native Task/Workflow tooling already covers the observed needs. This skill is the rebuild: orchestration using what the platform gives you directly, plus the WRFC template as a pattern, not infrastructure.

Decomposing work

Break a task into steps where each step:

  • Has a single agent type responsible for it (engineer, tester, refutation-reviewer, architect).
  • Has an explicit "done" condition, not a vague direction ("implement the API" is not a step; "implement POST /api/posts per the spec architect produced, with the validation and error cases it lists" is).
  • States its real dependencies — which steps must finish first, and what output they hand off.

Independent steps (no shared dependency) can run as parallel Task-tool calls in the same turn. Dependent steps run sequentially, with each agent's output feeding the next agent's task description directly — don't route it through a shared mutable file unless the next agent actually needs to read that file itself.

The WRFC pattern: Write → Review → Fix → Confirm

For any change worth reviewing before it ships:

  1. Write — the engineer agent implements the change.
  2. Review — the refutation-reviewer agent reviews the actual diff (see the review-scoring skill for the rubric: a defect list with severity, not a scalar score).
  3. Fix — if the review found CONFIRMED critical/high defects, the engineer addresses them. Cap this at a small, explicit number of iterations (2-3) — an unbounded fix loop is a sign the task needs re-scoping, not more iterations.
  4. Confirm — the FIX gets reviewed too, not assumed correct. Only after a fix iteration passes review (or the loop is explicitly capped and escalated to the user) is the change done.

This is a workflow pattern you run in-band as the orchestrator — spawning the engineer, then the reviewer, then (conditionally) another engineer pass, then a final reviewer pass — using native Task calls. It needs no daemon, no directive-delivery IPC, and no phase-machine state file: the orchestrating session's own turn sequence is the state machine.

/goodvibes:codebase-review is the packaged entry point for this pattern applied to a whole diff/PR — see that command for the concrete workflow.

When not to use the full loop

A one-line typo fix or a change with no meaningful failure surface doesn't need a dedicated review agent — use judgment. WRFC earns its cost on changes where "did this actually work" is a real question, not on everything unconditionally (v1's automatic-review-on-every-agent behavior was one of the field-identified sources of wasted review cycles on read-only work).