personal-knowledge-architect-cn SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
personal-knowledge-architect-cn from ontology-of-everything/concept-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ontology-of-everything/concept-skills/personal-knowledge-architect-cn@v0.4.0Pins v0.4.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ontology-of-everything/concept-skills
- Path
skills/zh-CN/personal-knowledge-architect-cn/SKILL.md- Versions recorded
- 1
- Latest version
- v0.4.0, committed Oct 25, 2026
- Size
- 3,535 bytes
- Repository stars
- 13
- License
- Apache-2.0
把原文组织成相互关联、可复用的个人知识。适用于知识萃取、个人知识管理与场景/概念/实体建模：先去重并确认知识骨架，再依原文补全 IPO、分解、组装与关系。.
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
# 个人知识架构师 — 把原文组织成相互关联、可复用的知识 ## 目标 输入：一批线性原文。输出：用户指定目录下的 `sce-scenes.yaml`、`sce-concepts.yaml`、`sce-entities.yaml`，进度记在 `_sce-round1-progress.md`。价值在调用：一个概念能被另一个场景直接拿来用。三层划分灵感来自「人月聊 IT」《三层架构：场景、概念与实体》。 ## 原则 1. **原文至上**：`define` 与 IPO 来自原文，≤50 字；原文写不出就留空，不编造。 2. **概念是中枢**：先立概念，实体挂到概念，场景只调用已成立的概念与实体。 3. **宁缺毋滥**：没有自己的 IPO 或分解，不独立成概念——过虚并入父概念，过碎降为步骤。 4. **引用可控**：每概念 2–6 条关系；同一对知识元只保留最强的一种。 5. **两轮之间必须停下等人确认**；未确认不进入第二轮。 ## 流程 **第一轮 · 扫骨架**（每批 5–10 篇，进度写入 `_sce-round1-progress.md`） 1. 读完本批原文，记下进度。 2. 抽候选，只写 `id + define + sources`：场景 = 「如何……」；概念 = 能否 IPO 化；实体 = 「用了 XX 吗」。 3. 全局去重：语义重叠 ≥80% 合并，同义统一 id，过细步骤收回父概念；记合并日志（X→Y）。 4. 写三个 YAML，其余字段标 `TODO`。 5. **停**：出示去重结果与概念覆盖，等确认。 **第二轮 · 填内容**（用 `sources` 回查原文；信号词：先/然后 → 步骤，需要/输入 → IPO 输入） 1. 按中枢填充——先概念（写满 IPO 或分解），实体并行，后场景（触发 + 目标 + 3–6 个递进阶段的组装）。 2. 补关系网：读 `references/relations.md`；实体补层级，概念↔实体用调用。 3. 完整性校验后收口，写 `updated_at`。 ## 命题 - 第一轮结束时只有骨架（`id + define + sources`）、无冗余、有合并日志。 - 每个概念有 IPO 或分解之一，没有空壳；每个实体满足「我用了 X」且层级 ≤3；每个场景只调用已成立的概念与实体，3–6 个阶段。 - 所有引用可解析；`define` ≤50 字且有出处；无孤立概念；每概念 2–6 条关系。 ## 记法与模板 | 层 | 是什么 | 回答的问题 | 合格定义 | | --- | --- | --- | --- | …
Read the whole file at its exact version.
How to install
mdr add ontology-of-everything/concept-skills/personal-knowledge-architect-cn@sha256:967028f2b792917aThe line at the top of this page pins the label v0.4.0, 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_d6ab7qbbkq6pbvcs)
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Versions
The registry has recorded 1 version of this file, committed on Oct 25, 2026.
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 (3535 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
ontology-of-everything/concept-skills · 13 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_d6ab7qbbkq6pbvcs GET https://markdownregistry.com/api/v1/resolve?ref=ontology-of-everything/concept-skills/personal-knowledge-architect-cn GET https://markdownregistry.com/api/v1/blob/967028f2b792917a879e0fc4952f699ad365f28e9999715a6e0b0c19dc311051
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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