.codex-plugin/plugin.json

{
  "name": "software-data-ai-copilot",
  "version": "0.2.0",
  "description": "Repository-first software, data and AI code development, debugging, review, testing and modernization.",
  "author": {
    "name": "Tekris Labs",
    "url": "https://tekrislabs.com/"
  },
  "keywords": [
    "software-engineering",
    "code-review",
    "debugging",
    "refactoring",
    "data-engineering",
    "machine-learning",
    "llm",
    "testing",
    "migration",
    "devtools"
  ],
  "skills": "./skills/",
  "interface": {
    "displayName": "Software & AI Copilot",
    "shortDescription": "Build, debug, and review code",
    "longDescription": "Repository-first coding assistance for software, data, and AI projects. Understand existing codebases, debug failures, implement features, review changes, refactor safely, design focused tests, and plan compatible upgrades. Includes dedicated workflows for APIs, distributed data transformations, ML pipelines, notebooks, and reliable LLM integrations. Prioritizes the smallest correct change, secure execution, contract preservation, evidence-backed verification, and current official docs for version-sensitive APIs. Uses available host coding tools and real subagents only when supported; this skills-only plugin provides no hosted build service, database connection, or automatic deployment.",
    "developerName": "Tekris Labs",
    "category": "Developer Tools",
    "capabilities": [
      "Understand repository architecture and existing code contracts",
      "Debug failures from error messages, logs, tests, and trace evidence",
      "Implement focused changes with regression tests and minimal diffs",
      "Review code for correctness, security, concurrency, and compatibility",
      "Refactor code while preserving observable behavior",
      "Plan tests, reproduce regressions, and evaluate test coverage",
      "Plan safe dependency, runtime, API, and database migrations",
      "Harden web services, authentication, and cross-tenant access",
      "Review performance using measured evidence, not guesswork",
      "Improve SQL, Spark, CDC, and data pipeline code",
      "Harden LLM client, tool, and structured-output integrations",
      "Productionize ML models and exploratory notebooks",
      "Triage incidents and prepare evidence-backed release handoffs",
      "Coordinate supported specialist agents for complex changes"
    ],
    "defaultPrompt": [
      "Debug this repository issue, find the root cause, and implement the smallest safe fix with tests.",
      "Review this code change for correctness, security, compatibility, and regression risk.",
      "Improve this data or AI application code while preserving existing behavior and contracts."
    ],
    "brandColor": "#18252B",
    "logo": "./assets/logo.png",
    "composerIcon": "./assets/composer-icon.png",
    "websiteURL": "https://tekrislabs.com/",
    "supportURL": "https://tekrislabs.com/contact",
    "privacyPolicyURL": "https://tekrislabs.com/privacy",
    "termsOfServiceURL": "https://tekrislabs.com/terms"
  },
  "extensions": {
    "com.openai": {
      "onboardingSkill": "./skills/get-started/SKILL.md",
      "publication": {
        "release_notes": "v0.2.0: Reorganized the existing repository-first engineering workflow into focused skills; added security, data, ML, LLM, migration and testing references; practical templates, benchmark specifications and offline evidence checks; Tekris Labs publication details. No new hosted tools."
      }
    }
  }
}