knowledge-system-bootstrap

分类: 文档与知识管理 | 上传者: Ss1024sS | 下载: 0 | 版本: v1.0（最新）

使用存储库本地 wiki、原始清单、本地原始根工作流程和内存存储库导出路径引导编译优先的项目知识系统。当用户想要使项目上下文在会话中持久、设置 wiki 优先规则、从原始存储中分离 GitHub 或将此操作模型复制到另一个存储库时使用。

更新日志: Source: GitHub https://github.com/Ss1024sS/LLM-wiki

目录结构

当前层级: tree/main/skills/knowledge-system-bootstrap/

📁 agents/
- 📄 openai.yaml 269 B
📁 references/
- 📄 playbook.md 263 B
📁 scripts/
- 📄 bootstrap_knowledge_system.py 23.7 KB
📄 SKILL.md 2.5 KB

SKILL.md

---
name: knowledge-system-bootstrap
description: Bootstrap a compile-first project knowledge system with repo-local wiki, raw manifests, a local raw-root workflow, and a memory-repo export path. Use when a user wants to make project context durable across sessions, set up wiki-first rules, split GitHub from raw storage, or replicate this operating model into another repository.
---

# Knowledge System Bootstrap

Use this when the user wants a project to stop relying on chat memory and start behaving like a sane system.

## What this skill does

It scaffolds a reusable operating model:

- repo-local `docs/wiki/`
- `manifests/raw_sources.csv`
- repo-level `AGENTS.md`
- local raw-root convention outside Git
- validation scripts
- memory-repo export script

This is the default stance:

- `compile-first`
- `writeback` is mandatory
- medium-sized projects use `wiki` before heavy `RAG`
- Obsidian is optional, markdown is not
- `Idea / Intent` outranks `Code`

## When to use it

Use it when the user wants to:

- set up a durable project memory layer
- stop losing context between sessions
- separate GitHub knowledge from raw binary junk
- create a repeatable wiki/raw/manifests structure for a new repo
- migrate an existing repo toward this model

Do not use it for tiny throwaway demos. That would be cosplay.

## Workflow

1. Identify the target repo root and the project name.
2. Decide the default local raw-root name. Keep raw outside Git.
3. Run the bundled bootstrap script:

```bash
python3 scripts/bootstrap_knowledge_system.py /path/to/repo "Project Name"
```

4. In the target repo, initialize the local raw root:

```bash
cd /path/to/repo
python3 scripts/init_raw_root.py
```

5. Validate the generated knowledge layer:

```bash
python3 scripts/wiki_check.py
python3 scripts/raw_manifest_check.py
```

6. If the project also wants a separate GitHub memory repo, export the managed surface:

```bash
python3 scripts/export_memory_repo.py /path/to/memory-repo-checkout
```

## Existing repo migration rule

If the repo already has scattered docs or raw:

- do not duplicate raw into Git
- centralize raw into one local raw root
- register it in `manifests/raw_sources.csv`
- compile the stable conclusions into wiki pages

If you skip writeback, you did not finish the job.

## Bundled resources

- Script: `scripts/bootstrap_knowledge_system.py`
- Reference: `references/playbook.md`

Read `references/playbook.md` when you need the fuller rationale, GitHub/raw split, or operating model language.

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knowledge-system-bootstrap

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