Skill：agent config
Skills SSOT and proving ground for entwurf — one operator's memory, skills, and 1KB identity carried identically across pi, Claude Code, Codex, Antigravity, Copilot, OMP, and OpenClaw. Semantic memory (Qwen3-Embedding-8B + LanceDB), 43 shared skills, and a version-pinned bench for agent runtimes.
适用场景
招聘人事
适合角色
介绍
以下内容整理自开源仓库 `junghan0611/agent-config` 的 README / SKILL.md 摘要： # agent-config **Contextual continuity infrastructure for AI agents.** Every new AI session starts at zero — no memory of past conversations, no access to your knowledge base, no awareness of your tools. agent-config solves this: when you switch agents, sessions, or even models, the same human's memory, knowledge, and work context carries over. ## How to Read This This is a front door, not a manual. It is written for someone who wants to see **what one operator actually runs day to day** — not for someone about to install a framework. Four things to hold before the first table. **1. This repo is not the engine.** The engine is [`entwurf`](https://github.com/junghan0611/entwurf) (v0.17.2, 2026-09-03) — the dispatch substrate that lets six already-existing harnesses address one another by **garden id**. agent-config is the resident side: the **skills SSOT** plus the **시험소 (proving ground)** where config is hardened on a real daily surface before entwurf absorbs it. So when a table below describes harness wiring, read it as *what is currently being proven here*, not as a finished contract. **2. A quiet repo is a healthy one.** The end state is a thin skills SSOT plus a test bench. Growth here is not progress — a busy changelog usually means something is still being proven. Do not read the skill count as a feature list; the identity is the working method, not the tool count. **3. Read one of three passes, depending on why you came:** | You came for | Read | |---|---| | *What can these agents actually do?* | [§ Skills](#skills-skills) · [§ Semantic Memory](#semantic-memory--andenken) | | *How does context survive a new session?* | [§ Why This Exists](#why-this-exists) · [§ Session Management](#session-management--new--recall) | | *Is any of this measured, or just asserted?* | [§ Agent Runtime Bench](#agent-runtime-bench) · [OMP.md](OMP.md) · [MODELS.md](MODELS.md) | **4. Sentences here try to carry their evidence.** Where a claim was measured, the receipt is named — a date, a host, a file, a version. Where it is inherited or still open, it says so. A sentence that cannot name one of those is a hypothesis, including in this document. This is the same rule the agents working in this repo are held to. > **What this is NOT:** not a prompt collection, not a LangChain-style automation layer, not a generic multi-agent framework. It is the infrastructure that lets one human's memory, knowledge, and working surface survive across sessions, harnesses, and models. ## What This Is **Official reference consumer and proving ground for [`entwurf`](https://github.com/junghan0611/entwurf).** `entwurf` is the integrated substrate that configures every harness and unifies agent integration — the strong, stable core (a garden-citizen dispatch substrate, not a pi --- **说明**：内容由公开仓库整理，使用前请自行核对是否适合你的场景。
安装方式
1. 打开仓库：https://github.com/junghan0611/agent-config 2. 查找 SKILL.md 或 README 中的安装章节 3. 克隆或下载所需 Skill 子目录到本地 skills 路径（如 `.cursor/skills/` 或 `.claude/skills/`） 4. 重启 / 重载 Agent 客户端 5. 用一条真实任务验证 Skill 是否被正确加载
适用平台
- Claude
- Codex