Skills

Acceptance Orchestrator

Use when a coding task should be driven end-to-end from issue intake through...

Install

npx skills add sickn33/agentic-awesome-skills --skill acceptance-orchestrator -g -a claude-code -y
Category
Engineering
Updated
3d ago
License
MIT
Context cost
Lightabout 954 tokens
Runs scripts
No, instructions only

What it does

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.

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.
Read the whole SKILL.md on GitHub

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