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{
  "name": "develoop",
  "version": "0.1.3",
  "description": "Create implementation-ready GitHub issues, ship validated pull requests, simplify implicit state machines, and resolve automated review without losing scope.",
  "author": {
    "name": "Changkyun Kim",
    "email": "comfuture@gmail.com",
    "url": "https://develoop.comfuture.chatgpt.site"
  },
  "homepage": "https://develoop.comfuture.chatgpt.site",
  "repository": "https://github.com/comfuture/agent-skills",
  "license": "MIT AND CC-BY-NC-SA-4.0",
  "keywords": [
    "github",
    "issues",
    "pull-requests",
    "code-review",
    "refactoring",
    "state-machines",
    "agent-skills"
  ],
  "skills": "./skills/",
  "interface": {
    "displayName": "Develoop",
    "shortDescription": "Ship maintainable GitHub work",
    "longDescription": "Move GitHub work through an evidence-backed loop: frame an implementation-ready issue, carry it through a narrow branch and validated pull request, simplify implicit state machines without changing behavior, then resolve automated review without scope creep.",
    "developerName": "Changkyun Kim",
    "category": "Developer Tools",
    "capabilities": [
      "Interactive",
      "Write"
    ],
    "websiteURL": "https://develoop.comfuture.chatgpt.site",
    "supportURL": "https://develoop.comfuture.chatgpt.site/support",
    "privacyPolicyURL": "https://develoop.comfuture.chatgpt.site/privacy",
    "termsOfServiceURL": "https://develoop.comfuture.chatgpt.site/terms",
    "defaultPrompt": [
      "Research this repository, create an implementation-ready issue, and implement it through a validated pull request.",
      "find all of the implicit state machines in my app",
      "Run a bounded automated-review loop for this pull request."
    ],
    "composerIcon": "./assets/logo.png",
    "logo": "./assets/logo.png"
  },
  "extensions": {
    "com.openai": {
      "publication": {
        "release_notes": "# Develoop 0.1.3 — Behavior-preserving State Cleanup\n\nDeveloop 0.1.3 adds `cleanup-slops`, a cleanup workflow for implicit state\nmachines across an entire repository or a specified pull request.\n\nHighlights:\n\n- Starts from “find all of the implicit state machines in my app” and traces\n  state ownership, reachable combinations, transitions, consumers, and invariants.\n- Removes redundant sources of truth while preserving independent state axes,\n  async request ownership, public APIs, and persisted representations.\n- Establishes baseline behavior and focused regression evidence before editing,\n  with decision examples for essential and unnecessary state.\n- Keeps PR cleanup within the implementation and its relevant dependencies,\n  reporting preserved or deferred candidates and uninspected areas.\n- Preserves category, capabilities, public support links, starter prompts, and\n  release notes in the OpenAI submission ZIP.\n- Records the UTC time and full head before marking a draft ready, and reuses\n  existing trigger evidence when a PR is already ready.\n- Retains the head-aware, causally bounded automated-review guidance from 0.1.2.\n\nReviewer notes:\n\n- Submission type: Skills only\n- Version: 0.1.3\n- Publisher: Changkyun Kim\n- Category: Developer Tools\n- Support: https://develoop.comfuture.chatgpt.site/support\n- Validation: 36 repository regression tests, seven website route tests, and\n  independent repository-wide and PR-scoped cleanup exercises\n- License: MIT AND CC-BY-NC-SA-4.0"
      }
    }
  }
}

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