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
Ready-to-paste message
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-orchestratorOr 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.mdTechnical 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-gateclosed-loop-deliveryverification-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 (
devdefault)
Fixed defaults:
- max iteration rounds =
2 - PR review polling =
3m -> 6m -> 10m
State Machine
intakeissue-gatedexecutingreview-loopdeploy-verifyacceptedescalated
Workflow
Intake
- Read issue and extract task goal + DoD.
Issue gate
- Use
create-issue-gatelogic. - If issue is not
readyor execution gate is notallowed, stop immediately. - Do not implement anything while issue remains
draft.
- Use
Execute
- Hand off to
closed-loop-deliveryfor implementation and local verification.
- Hand off to
Review loop
- If PR feedback is relevant, batch polling windows as:
- wait
3m - then
6m - then
10m
- wait
- After the
10mround, stop waiting and process all visible comments together.
- If PR feedback is relevant, batch polling windows as:
Deploy and runtime verification
- If DoD depends on runtime behavior, verify the explicitly authorized environment.
- A
devlabel 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.
Completion gate
- Before any claim of completion, require
verification-before-completion. - No success claim without fresh evidence.
- Before any claim of completion, require
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
2full 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 / escalatedAcceptance Criteria: pass/fail checklistEvidence: commands, logs, API results, or runtime proofOpen Risks: anything still uncertainNeed 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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2016
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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