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4d 1h ago
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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.

.agents/skills/acceptance-orchestrator TypeScript
TY
MA
2+ layers Tracked stack
Capabilities
0
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Related
3
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Capabilities
Actionable behaviors documented in the skill body.
0
Phases
Operational steps available for guided execution.
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References
Support files available for deeper usage and onboarding.
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Scripts
Runnable or reusable automation artifacts discovered locally.

Architectural Overview

Skill Reading

"This module is grounded in security patterns and exposes 1 core capabilities across 1 execution phases."

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".

Required Sub-Skills

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

Optional supporting skills:

  • deploy-dev
  • pr-watch
  • pr-review-autopilot
  • git-ship

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, deploy only to dev by default.
    • 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.

Primary Stack

TypeScript

Tooling Surface

Guide only

Workspace Path

.agents/skills/acceptance-orchestrator

Operational Ecosystem

The complete hardware and software toolchain required.

This skill is mostly documentation-driven and does not expose extra scripts, references, examples, or templates.

Module Topology

Skill File
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Chat Session
Antigravity Core

Antigravity Core

Principal Engineering Agent

A high-performance agentic architecture developed by Deepmind for autonomous coding tasks.
120 Installs
4.2 Reliability
1 Workspace Files
4.2
Workspace Reliability Avg
5
68%
4
22%
3
10%
2
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1
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