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Agent Orchestration
Skill

/acceptance-orchestrator

Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

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agentic-awesome-skills
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Claude Code

$ npx -y skills add sickn33/agentic-awesome-skills --skill acceptance-orchestrator --agent claude-code

SKILL.md

acceptance-orchestrator.SKILL.md
name: acceptance-orchestrator
description: Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
risk: critical
source: community
date_added: "2026-03-12"

Acceptance Orchestrator

Overview

Orchestrate coding work as a state machine that ends only when acceptance criteria are verified with evidence or the task is explicitly escalated.

Core rule: **do not optimize for "code changed"; optimize for "DoD proven".**

When to Use

  • The task already has an issue or clear acceptance criteria and should run end-to-end with minimal human re-intervention.
  • You need structured handoff across implementation, review, deployment, and final verification.
  • You want explicit stop conditions and escalation instead of silent partial completion.

Required Sub-Skills

  • `create-issue-gate`
  • `closed-loop-delivery`
  • `verification-before-completion`

Deployment and PR monitoring are project-specific capabilities, not bundled sub-skills. Use the repository's actual deployment and review procedures; the legacy names `deploy-dev`, `pr-watch`, `pr-review-autopilot`, and `git-ship` are not available in AAS.

Inputs

Require these inputs:

  • issue id or issue body
  • issue status
  • acceptance criteria (DoD)
  • target environment (`dev` default)

Fixed defaults:

  • max iteration rounds = `2`
  • PR review polling = `3m -> 6m -> 10m`

State Machine

  • `intake`
  • `issue-gated`
  • `executing`
  • `review-loop`
  • `deploy-verify`
  • `accepted`
  • `escalated`

Workflow

1. **Intake**

  • Read issue and extract task goal + DoD.

2. **Issue gate**

  • Use `create-issue-gate` logic.
  • If issue is not `ready` or execution gate is not `allowed`, stop immediately.
  • Do not implement anything while issue remains `draft`.

3. **Execute**

  • Hand off to `closed-loop-delivery` for implementation and local verification.

4. **Review loop**

  • If PR feedback is relevant, batch polling windows as:
  • wait `3m`
  • then `6m`
  • then `10m`
  • After the `10m` round, stop waiting and process all visible comments together.

5. **Deploy and runtime verification**

  • If DoD depends on runtime behavior, verify the explicitly authorized environment.
  • A `dev` label does not grant deployment permission; inspect effects and use the project's deployment gate before changing any shared environment.
  • Verify with real logs/API/Lambda behavior, not assumptions.

6. **Completion gate**

  • Before any claim of completion, require `verification-before-completion`.
  • No success claim without fresh evidence.

Stop Conditions

Move to `accepted` only when every acceptance criterion has matching evidence.

Move to `escalated` when any of these happen:

  • DoD still fails after `2` full rounds
  • missing secrets/permissions/external dependency blocks progress
  • task needs production action or destructive operation approval
  • review instructions conflict and cannot both be satisfied

Human Gates

Always stop for human confirmation on:

  • prod/stage deploys beyond agreed scope
  • destructive git/data operations
  • billing or security posture changes
  • missing user-provided acceptance criteria

Output Contract

When reporting status, always include:

  • `Status`: intake / executing / accepted / escalated
  • `Acceptance Criteria`: pass/fail checklist
  • `Evidence`: commands, logs, API results, or runtime proof
  • `Open Risks`: anything still uncertain
  • `Need Human Input`: smallest next decision, if blocked

Do not report "done" unless status is `accepted`.

Example

**User request:**

> Take this issue and its acceptance criteria through implementation, validation, review, and a final evidence-backed verdict.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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Questions about acceptance-orchestrator.

Which coding agents can use acceptance-orchestrator?
acceptance-orchestrator installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.