acdc-badge-sniper / SKILL.md : An AI agent skill for Hackathon Strategy

We built an AI agent skill that helps ACDC teams identify their best badge targets and create action plans. It works with Claude Code, VS Code Copilot, and ChatGPT.

What it does

  • Fetches live ACDC data (badges, teams, claims, rankings)
  • Matches your project to optimal badge targets
  • Creates time-boxed checklists with evidence requirements
  • Generates 30-60 second judge pitch scripts

    Installation and usage

    Claude Code
    Drop the `acdc-badge-sniper` folder into your skills directory and invoke it.

    VS Code Copilot
    Copy `copilot-instructions.md` to `.github/copilot-instructions.md` in your project, or paste it directly into Copilot Chat.

    ChatGPT / OpenAI
    Use openai-system-prompt.md as your system prompt or Custom GPT instructions.

    Data sources
    The skill uses live ACDC data and updates regularly to reflect new badges and team standings!

    Quick start

    Tell your AI assistant:
    1. Your team name
    2. What you’ve built (2-6 bullets)
    3. Your stack (M365, Azure, Power Platform, etc.)
    4. Time remaining
    5. Constraints (no admin, no external APIs, shorthanded, etc.)

    It will return your top 5 badge targets with checklists, evidence requirements, and judge pitches.

    Get the skill
    https://github.com/Puzzlepart/ACDC-26/blob/main/skills/acdc-badge-sniper/SKILL.md

Screenshots!

META: creating the acdc-badge-sniper to snipe badges

By sharing this skill we aim for the following badges:

  • Sharing is Caring We made the badge-sniper available for other teams to use; it’s literally a shared tool.
  • Community Champion We didn’t just publish it; we’ll help teams set it up and use it, which is direct community support.
  • Hipster Agent skills + Claude Code / Copilot / ChatGPT workflows are bleeding‑edge dev tooling
  • Dataminer The skill fetches live ACDC blob data and converts raw JSON into ranked, actionable strategy.
  • Power User Love Tiny YAML + markdown config drives complex AI output: low‑code definition with pro‑code impact.
  • Plug N’ Play It plugs into VS Code Copilot via copilot-instructions.md, meeting “plugin/app” intent.