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ippclub

@ippclub source repo

10 published skills

  1. ▌
    Memory · ippclub
    Agent memory files with grep-based scoped recall.
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  2. ▌
    UI Design · ippclub
    Use this skill when designing, creating, or polishing UI/screens/HUDs/menus so the result is visually refined, coherent, responsive, and implemented with the correct Dora UI APIs.
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  3. ▌
    Dora Engine Development · ippclub
    Use when developing the Dora-SSR engine itself, including C++ engine code, Lua/YueScript dev services, generated bindings, DoraX runtime, Web IDE integration, docs, tests, local validation, and release-facing engine changes.
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  4. ▌
    Agent Command · ippclub
    Rules and examples for using execute_command with Lua and Git safely inside the Dora Agent runtime.
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  5. ▌
    Skill Creator · ippclub
    Guide the agent to create a new project skill with correct placement, required metadata, and a practical SKILL.md template.
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  6. ▌
    Dora CLI Game Development · ippclub
    Use when building, running, testing, or debugging Dora engine games with the Dora CLI, including TypeScript, TSX/DoraX, Lua, YueScript, Teal, XML, Wa, Yarn, Rust WASM, Web IDE service recovery, and in-engine validation.
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  7. ▌
    Music Generation · ippclub bundle
    Generate original game audio by authoring a typed exact score or procedural music definition, building it, and invoking the engine Async generator through execute_command.
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  8. ▌
    Dora Engine Coding · ippclub
    Dora SSR coding rules for game/workspace projects; prevents browser DOM/Canvas/Node.js code in Dora engine scripts and forces Dora API lookup before using unfamiliar engine APIs.
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  9. ▌
    Love Game Development · ippclub
    Develop, fix, or review LÖVE 11.5 games hosted by Dora LoveNode, including Love TypeScript or Lua sources, Love API documentation lookup, isolated runtime boundaries, full-screen adaptation, filesystem behavior, and log-based debugging.
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  10. ▌
    Dora Agent Development Validation · ippclub bundle
    Develop, test, benchmark, and iteratively validate Dora Agent changes with evidence from the current implementation, real `.agent` histories, controlled LLM trials, Dora in-engine tests, and human-visible acceptance. Use for changes to Agent prompts, tool schemas or execution, edit recovery, memory compression, sub-agent lifecycle, cancellation and handoff, usage reporting, Web IDE Agent UX, or game-generation quality; also use when comparing baseline and improved Agent behavior across models such as GLM or DeepSeek.
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