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Deploy & cloud (DevOps)48k · #2016

acceptance-orchestrator

Lets your agent manage coding tasks from start to finish. It handles everything from creation to verification.

What it does

This AI agent manages coding tasks from start to finish. It ensures work is implemented, reviewed, deployed, and verified against defined criteria with minimal human intervention.

When to use it

  • ✓When a coding task needs to run end-to-end, from intake to final verification.
  • ✓If you need a structured process for implementation, review, and deployment.
  • ✓To ensure work is only considered complete after requirements are verified.

Example of what to ask your AI

“Manage this coding task from start to finish, ensuring acceptance criteria are met and verified with evidence.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/acceptance-orchestrator/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/acceptance-orchestrator/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It operates like a state machine, moving through stages like task intake, execution, review, and deployment. Completion only happens after evidence proves the criteria have been met.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill acceptance-orchestrator

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/acceptance-orchestrator/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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.
FAQ

What happens if the task cannot be completed?

If there are blockers, such as missing permissions or conflicts, the task will be escalated to a human.

How does it verify success?

It requires concrete evidence, like logs or test results, to confirm each acceptance criterion has been met.

Do I need to provide a lot of information?

Yes, it needs the task ID or description, its acceptance criteria, and the target environment.

Details

Original description by the author

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.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#2016
License
MIT
Updated
10/15/2026

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