Platform Ecosystem Architecture logo

Platform Ecosystem Architecture

Organization
devcodex-labs
platform-ecosystem-architecture

平台生态架构专家 Owner — 当任务涉及 CLI、Hook、多宿主、插件、扩展点、能力发现、部署副本、兼容矩阵、迁移、版本分发或生态治理时使用;要求把平台能力设计成可发现、可扩展、可兼容、可发布。

Overview

Publisherdevcodex-labs
Repositorydevcodex
Skill nameplatform-ecosystem-architecture
Stars
433
Forks
44
Bundled files
1
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by devcodex-labs on GitHub. Read the source before you install it.

Installation

Install the Platform Ecosystem Architecture AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/devcodex-labs/devcodex/tree/main/content/skills/platform-ecosystem-architecture
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/devcodex-labs/devcodex.git /tmp/devcodex
mkdir -p .claude/skills
cp -r /tmp/devcodex/content/skills/platform-ecosystem-architecture .claude/skills/platform-ecosystem-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Platform Ecosystem Architecture in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Platform Ecosystem Architecture on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Platform Ecosystem Architecture is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Platform Ecosystem Architecture Skill

定位

本 Skill 负责平台生态 Owner 视角。它关注 DevCodex 这类 CLI + Hook + Skill + Profile + 多宿主项目的扩展点、兼容矩阵和迁移成本。

触发条件

场景是否触发
CLI、Hook、MCP、plugin、Skill、Profile、部署副本、多宿主能力变化必须
涉及扩展点、能力发现、兼容矩阵、迁移、版本分发或生态文档必须
任务会改变公开目录结构、安装路径、插件 manifest 或宿主契约必须
单项目内部业务实现且无平台扩展面N/A + skipReason

核心门禁

Gate要求证据
PlatformEcosystemArchitectureGate平台能力必须有宿主矩阵、扩展点、发现机制、兼容和迁移路线hostSurfaceMatrix、compatibilityMatrix
ExtensionPointContractGate扩展点输入输出、生命周期和约束必须稳定extensionPointContract
CapabilityDiscoveryGate用户和 Agent 必须能发现能力入口README、website、routing、plugin
HostCompatibilityGateCopilot / Claude Code / Codex / fallback 差异必须明确hostSurfaceMatrix
DistributionMigrationGate发布、部署副本和迁移路径必须可验证releaseDistributionImpact

CapabilitySurfaceDecision 证据提供者

新增或改变 Rule/Skill、Prompt、MCP Resource/Resource Template/Tool、Task 增强 Tool、CLI 或 Hook 时,本 Skill 只向 spec-governance#CapabilitySurfaceDecisionGate 提供宿主能力、发现路径、协议/版本、兼容矩阵、迁移与 fallback 证据。它读取中央 decisionRef,不得在本 Skill 重写选择矩阵、另建 canonical decision 或复制 preferredSurface / runtimeOwner / truthBoundary 等中央字段;宿主直接证据不足时保持 UNVERIFIED。

DevCodex managed deployment manifest

  • 当前宿主配置由 GlobalHostTargetV1、global-host-config.js 与 GlobalHostConfigReceiptV1 的用户级目标、受管内容、runtime generation 和实际加载路径共同证明;global-adapters apply --dry-run 预览,授权 apply 按事务更新。init/update 的项目 active-root 运行态与宿主配置 owner 分离。
  • 生成模板不能代替部署验收:包装 import 必须解析到当前代际 kernel,Skill 根取 receipt 的 skillsRuntimeRoot;源文件摘要、配置已写入或旧路径存在均不单独证明当前宿主已加载。
  • legacy init/update copy map 与 resolveActiveRuntimeRoot(cwd)/managed/deployment-manifest.json 仅作明确的历史/迁移核对。其 preview 的 add/update/unchanged/stale/unowned、source→destination/hash 和 stale existing 语义保持历史边界,不能把 pre-manifest extras 伪装成 stale,也不让当前 global apply 重写旧父链副本。
  • V8 默认对 authoring source package 核源码边界;显式 workspace 范围保留 legacy parity。当前用户级部署另核 receipt/config/实际进程与 native/fixture 证据,不以 V8 代替。

执行步骤

  1. 列出宿主面和能力面:CLI、Hook、MCP、Skill、Profile、docs、plugin;命中新/变更能力面时读取中央 decisionRef。
  2. 冻结扩展点契约:输入、输出、生命周期、错误、权限、兼容,并把证据交给 spec-governance 单写者。
  3. 设计能力发现路径:README、website、routing、Profile、validate。
  4. 建立兼容矩阵和迁移策略:当前版本、历史路径、部署副本、fallback。
  5. 将发布和部署影响纳入 TestRoute。

输出字段

markdown
## PlatformEcosystemArchitectureGate

| 字段 | 内容 |
|------|------|
| hostSurfaceMatrix | 宿主/客户端/部署副本矩阵 |
| extensionPointContract | 扩展点契约、生命周期、限制 |
| capabilityDiscovery | 能力发现入口和用户路径 |
| compatibilityMatrix | 兼容矩阵、fallback、历史路径 |
| migrationPath | 迁移步骤、弃用窗口、用户影响 |
| releaseDistributionImpact | package/plugin/docs/deploy copy 发布影响 |
| capabilitySurfaceEvidence | `decisionRef`、宿主/协议/发现/迁移/fallback 证据与未验证边界 |
| evidenceMatrix | 判断 -> 源码 / manifest / README / website / validate / smoke |

反模式

反模式修正
只改源文件,不核当前部署执行 source-consumer-sync、当前用户级 receipt/代际/指针与真实加载验证;V8 的源码/legacy 适用范围单列
扩展点没有生命周期和错误语义补 extensionPointContract
只说“支持多宿主”建 hostSurfaceMatrix
公开能力无法被用户发现补 README / website / routing / Profile

与其他 Skill 的关系

  • source-consumer-sync:平台能力必须同步所有当前消费者和部署副本。
  • host-contract-verification:Hook/CLI/宿主契约变化需要 direct replay 或 fixture replay。
  • release-verification:分发面变化进入发布前验证。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Platform Ecosystem Architecture AI skill do?

平台生态架构专家 Owner — 当任务涉及 CLI、Hook、多宿主、插件、扩展点、能力发现、部署副本、兼容矩阵、迁移、版本分发或生态治理时使用;要求把平台能力设计成可发现、可扩展、可兼容、可发布。

Why use Platform Ecosystem Architecture on TypingMind?

Because you install it once and use it with any model. Platform Ecosystem Architecture is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Platform Ecosystem Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/devcodex-labs/devcodex/tree/main/content/skills/platform-ecosystem-architecture. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Platform Ecosystem Architecture?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Platform Ecosystem Architecture?

As many as you like. As long as a model supports skills, you can use Platform Ecosystem Architecture with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Platform Ecosystem Architecture AI skill free?

Yes. It is published on GitHub by devcodex-labs under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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