llm-wiki SKILL.md skillA
llm-wiki from wangjs-jacky/jacky-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wangjs-jacky/jacky-skills/llm-wiki@git:20260511.2388c57Pins git:20260511.2388c57 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wangjs-jacky/jacky-skills
- Path
plugins/knowledge-base/skills/llm-wiki/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260511.2388c57, committed May 11, 2026
- First version recorded
- Apr 6, 2026
- Size
- 15,681 bytes
- Repository stars
- 15
- License
- MIT
LLM 驱动的 Obsidian 个人知识库管理。当需要评估、优化、索引 Obsidian vault，或讨论知识管理、wiki 构建、LLM 辅助笔记、索引优先检索时触发。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Wiki - LLM 驱动的 Obsidian 知识库 > 把 Obsidian 当 IDE，LLM 当程序员，知识库当代码库。LLM 不只回答问题 —— 它持续编译、索引和优化你的知识网络。 ## 核心原则 **传统 RAG 的致命缺陷：没有积累。** 每次提问都从头检索原始文档，答案用完即弃。知识从未沉淀。 **本模式的核心差异：知识复利。** LLM 增量编译原始资料为结构化 wiki，知识被编译一次并持续保持更新。每一次探索、每一次提问都在让知识库变得更好。当索引足够优化时，表现超越 RAG。 ## 知识库的四个层次 从底到顶，知识库由四个层次构成： ``` ┌──────────────────────────────────────────────────┐ │ 4. 输出层 (Outputs) │ │ 问答回答、综合报告、幻灯片、图表 → 归档回 wiki │ ├──────────────────────────────────────────────────┤ │ 3. Wiki 层 (LLM 编译/维护) │ │ index.md · concepts/ · entities/ · synthesis/ │ │ 每篇文章建议 ≤ 500 字，超出部分用 [[ref]] 链接延伸 │ ├──────────────────────────────────────────────────┤ │ 2. 原始资料层 (Raw) │ │ raw/ · articles/ · papers/ · images/ · notes/ │ │ 不可变，LLM 只读不写 │ ├──────────────────────────────────────────────────┤ │ 1. 索引地图层 (Index Map) │ │ 全局 index.md + 各目录子索引 │ │ LLM 的导航入口，查询时始终在上下文中 │ └──────────────────────────────────────────────────┘ ``` ### 为什么分四层而不是三层？ 传统三层架构（Raw → Wiki → Outputs）忽略了最关键的一层：**索引地图**。 …
Read the whole file at its exact version.
How to install
mdr add wangjs-jacky/jacky-skills/llm-wiki@sha256:73a21e77e09b78f1The line at the top of this page pins the label git:20260511.2388c57, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_hn2omuyz2ryncquj)
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Versions
The registry has recorded 2 versions of this file, between Apr 6, 2026 and May 11, 2026, about one every 35 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260511.2388c57 latest | 2026-05-11 | 2388c57 | 15,681 B | A | view · diff |
| git:20260406.58fb66b | 2026-04-06 | 58fb66b | 15,850 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15681 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
wangjs-jacky/jacky-skills · 15 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hn2omuyz2ryncquj GET https://markdownregistry.com/api/v1/resolve?ref=wangjs-jacky/jacky-skills/llm-wiki GET https://markdownregistry.com/api/v1/blob/73a21e77e09b78f1bd1ae9011e9f633ca7f82ef8e774be94de874a3d68de3c51
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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