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primitives-dsl原语 DSL

Agent Skill

primitives-dsl 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:primitives-dsl(原语 DSL)
来源仓库:https://github.com/stusatwork-oss/primitives-dsl
安装命令:
openclaw skills install primitives-dsl
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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openclaw skills install primitives-dsl

简介

具有六个原语(LOOP、TILEGRID、CONTROLBLOCK、POOL、EVENT、DISPATCHER)的通用游戏架构 DSL。在以下情况下使用:(1) 设计便携式游戏/模拟循环,(2) 在架构之间进行转换(68K ↔ Cell ↔ CUDA ↔ ECS),(3) 向 AI 代理解释引擎结构,(4) 将混乱重构为明确的状态 + 流程。调用产生:原始映射、数据流草图、工作示例、可移植性注释。

SKILL.md

name
primitives-dsl
description
Universal game architecture DSL with six primitives (LOOP, TILEGRID, CONTROLBLOCK, POOL, EVENT, DISPATCHER). Use when: (1) designing portable game/sim loops, (2) translating between architectures (68K ↔ Cell ↔ CUDA ↔ ECS), (3) explaining engine structure to AI agents, (4) refactoring chaos into explicit state + flow. Invocation produces: Primitive Map, Dataflow Sketch, Worked Example, Portability Notes.

primitives-dsl — Universal Game Architecture Patterns

What this skill does

Provides a small, portable DSL of six universal primitives that appear across 68K-era loops, Cell/PPU+SPU orchestration, CUDA/GPU kernels, and modern ECS engines.

Primitives: LOOP · TILEGRID · CONTROLBLOCK · POOL · EVENT · DISPATCHER

Use this skill to:

  • Design a game/sim loop that ports cleanly across platforms
  • Translate between architectures (68K ↔ Cell ↔ CUDA ↔ ECS)
  • Explain engine structure to AI agents with minimal ambiguity
  • Produce "worked examples" using the same primitive vocabulary every time

When to use it

  • Starting a new subsystem and want a portable mental model
  • Refactoring chaos into explicit state + flow
  • Mapping legacy code to modern patterns
  • Designing constrained-device / edge / "shareware for the future" loops

When NOT to use it

  • Don't invent new primitives (keep the vocabulary stable)
  • Don't debate engine religion (Unity vs Unreal vs custom). Translate, don't preach.
  • Don't skip the concrete artifact: every use must end in a diagram, table, or pseudocode

The DSL (definitions)

LOOP A repeated update cycle with explicit phases. Owns time slicing and ordering.

TILEGRID A spatial index with stable adjacency rules (2D/3D grids, nav tiles, zone cells, chunk maps).

CONTROLBLOCK A compact, authoritative state record (flags, counters, handles, timers) used to coordinate behavior and enforce constraints.

POOL A bounded allocator for frequently-created things (entities, bullets, particles, jobs). No unbounded new in hot paths.

EVENT A structured message representing "something happened" with minimal payload and explicit routing metadata.

DISPATCHER Routes work and events to handlers (CPU threads, SPUs, GPU kernels, ECS systems). Also where scheduling policy lives.

Output contract (what you must produce)

When invoked, produce:

  1. Primitive Map — Identify which parts of the system correspond to each primitive
  2. Dataflow Sketch — Text diagram or table describing movement of state/events
  3. One Worked Example — Or cite an existing example file
  4. Portability Notes — How this maps to 68K / Cell / CUDA / ECS

Invocation patterns (copy/paste prompts)

"Apply primitives-dsl to design a loop for ___ . Provide a Primitive Map + Dataflow + Portability."

"Translate this architecture into LOOP/TILEGRID/CONTROLBLOCK/POOL/EVENT/DISPATCHER."

"Given these constraints (___), propose a primitives-dsl design and a worked example."

Guardrails / style rules

  • Use primitive names in ALL CAPS
  • Prefer tables over paragraphs for mappings
  • Use tight pseudocode (no full implementations)
  • Always name the CONTROLBLOCK fields explicitly
  • Always specify POOL bounds (even if guessed)
  • EVENTS must have a routing key or channel
  • DISPATCHER must declare policy: FIFO, priority, fixed-step, budgeted, etc.

References

- references/example_shooter.md — Classic shooter loop - references/example_mall_tick.md — GLITCHDEXMALL zone sim - references/example_npc_step.md — NPC state machine step

External Resources

  • Anthropic Skills Repository — Skill creation patterns
  • Alien Bash II — 68K source extraction (Glenn Cumming, open domain)
  • NVIDIA CUDA Programming Guide — Modern GPU primitive patterns
  • Cell Broadband Engine Programming Handbook — SPE work distribution

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.07%
按下载量换算6,905

安全审计

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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