SKILLS/acceptance-orchestrator/SKILL.md
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.
npx skillsauth add pinkpixel-dev/skills-collection-1 acceptance-orchestratorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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".
create-issue-gateclosed-loop-deliveryverification-before-completionOptional supporting skills:
deploy-devpr-watchpr-review-autopilotgit-shipRequire these inputs:
dev default)Fixed defaults:
23m -> 6m -> 10mintakeissue-gatedexecutingreview-loopdeploy-verifyacceptedescalatedIntake
Issue gate
create-issue-gate logic.ready or execution gate is not allowed, stop immediately.draft.Execute
closed-loop-delivery for implementation and local verification.Review loop
3m6m10m10m round, stop waiting and process all visible comments together.Deploy and runtime verification
dev by default.Completion gate
verification-before-completion.Move to accepted only when every acceptance criterion has matching evidence.
Move to escalated when any of these happen:
2 full roundsAlways stop for human confirmation on:
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 blockedDo not report "done" unless status is accepted.
testing
When the user wants a full ASO health audit, review their App Store listing quality, or diagnose why their app isn't ranking. Also use when the user mentions "ASO audit", "ASO score", "why am I not ranking", "listing review", or "optimize my app store page". For keyword-specific research, see keyword-research. For metadata writing, see metadata-optimization.
testing
Clarify requirements before implementing. Use when serious doubts arise.
tools
Complete reference and build guide for ASI:One (ASI1) — the AI platform by Fetch.ai built for agentic, Web3-native applications. Use this skill IMMEDIATELY and ALWAYS when the user mentions ASI1, ASI:One, Fetch.ai AI API, building with ASI1, integrating ASI:One, asking about ASI1 models, tool calling with ASI1, ASI1 image generation, ASI1 agentic LLM, Agentverse, uagents, Agent Chat Protocol, structured output with ASI1, or OpenAI-compatible wrappers for ASI1. Also trigger when the user says things like "use ASI1 instead of OpenAI", "build an app with ASI:One", "ASI1 API", or references docs.asi1.ai. This skill covers everything needed to build production apps - setup, all models, all API features, tool calling, image gen, agentic orchestration, structured data, session management, streaming, LangChain integration, uagents / Agent Chat Protocol, and TypeScript/Node.js patterns.
data-ai
When the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.