Obsidian 知识飞轮

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

一套面向 WorkBuddy/Codex 的 Obsidian 知识管理 Skill:把闪念、RSS、日报、 文章和课程等输入,转化为经过本人认领、彼此连接、能够进入项目与输出的知识。

一句话选型结论

按资料字段整理

Obsidian 知识飞轮是效率类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类效率 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_81096db6/obsidian-knowledge-flywheel
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

效率
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_81096db6仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791691313
正文体量5.9 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
整理待办与日程

把零散任务收进清单,排出优先级。

批量处理重复任务

把固定动作做成模板,重复执行。

把流程写成清单

把口头流程整理成可复用的步骤。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在效率场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Obsidian 知识飞轮当前 未标注权限 未标注 未标注 未标注 有
Nano PDF 文档 联网访问 ClawHub 市场 424.9 万 OpenClaw 有
自动更新程序 浏览器控制 ClawHub 市场 296.4 万 OpenClaw 有
Gemini 助手 联网访问 ClawHub 市场 254.7 万 OpenClaw 有
word DOCX 文档 联网访问 ClawHub 市场 239.6 万 OpenClaw 有
Excel XLSX 前端 联网访问 ClawHub 市场 227.0 万 OpenClaw 有

SKILL.md 全文

5.9 KB
模型实际读到的说明书原文,来自技能仓库

Obsidian Knowledge Flywheel

Use this Skill as the single rule source for the knowledge flywheel. Respond in
the user's language.

Resolve configuration

  1. Treat the directory containing this SKILL.md as <skill_dir>.
  2. If <skill_dir>/config.yaml exists, read it before operating on a Vault.
  3. Otherwise use a Vault path explicitly supplied by the user or active workspace.
  4. If the Vault remains ambiguous, ask for its absolute path once. Do not scan the
    user's entire home directory to guess.
  5. Resolve all configured note paths relative to vault_path.

The example layout is in assets/config.example.yaml. Never modify that example
to store a user's real path; local values belong in the ignored config.yaml.

Protect rule notes

Any Vault note with type: guide is a rule file. Do not edit it unless the user
explicitly asks to change the system, rules, Skill, schema, or guide. When a rule
change is requested, report affected references and guides, prevent conflicting
instructions, and update only the relevant ownership area.

Select one primary mode

Load only the references needed for the task.

Mode Typical task Required reference
intake Route inbox thoughts, feeds, RSS, digests, or daily review items references/intake-and-digestion.md
digest Reading cards, literature notes, candidate atomic notes, human claiming references/schema.md, references/intake-and-digestion.md
connect Wikilinks, MOCs, area maps, resource organization references/schema.md, references/moc-and-resources.md
project Project maps, benchmarks, readiness, outline, draft, review references/projects-and-writing.md
review Daily/weekly review, judgment review, re-reading references/automation-contracts.md
audit YAML, broken links, orphan notes, misplaced types, memory health references/schema.md, references/automation-contracts.md

Read references/course-principles.md only when explaining methodology or
resolving a boundary dispute.

Core decisions

  1. Identify whose thought it is. A user's own thought may become a candidate
    atomic or judgment note. An external claim enters literature processing first.
  2. For an external source with one or two confirmed keepers, create excerpt
    literature notes directly. Use a reading card when several passages still need
    human screening.
  3. Any atomic note created or materially organized by AI must start as
    rewrite_status: pending.
  4. Only the user may change a note to done, after reading and materially
    rewriting, extending, or explicitly claiming it.
  5. Formal MOCs, area maps, and adopted project material use done atomic notes.
  6. Put semantic structure in MOCs, project maps, and body wikilinks, not in a
    duplicated atomic-note tag graph.
  7. Put URLs, tools, service entries, prompts, and reference lists in resource
    cards unless they contain an independent user claim.
  8. Draft only from material confirmed in the project map. If benchmarks,
    evidence, counterexamples, or personal scenes are missing, fill gaps first.

Minimal atomic frontmatter

---
type: atomic
rewrite_status: pending
created: YYYY-MM-DD
source: "[[optional source note]]"
---

Do not add status, tags, areas, projects, related, suggested_*,
next_action, or empty arrays to atomic notes. See references/schema.md for
other note types.

Operational boundaries

  • Preview uncertain classification, movement, deletion, and bulk normalization.
  • Never invent a user's reflection or treat unmarked source prose as their view.
  • Never change pending to done in an automation or bulk operation.
  • Never delete upstream material merely because an atomic note exists. Deletion
    requires user confirmation and a recoverable method.
  • Never create empty placeholder source notes merely to silence broken links.
  • Publishing an output does not delete its project map, evidence, or atomic notes.
  • Preserve unrelated user changes in the Vault.

Deterministic tools

Preview the default Vault layout:

python3 <skill_dir>/scripts/setup_vault.py --vault "/absolute/vault/path"

Create missing folders only:

python3 <skill_dir>/scripts/setup_vault.py --vault "/absolute/vault/path" --apply

Run a read-only audit:

python3 <skill_dir>/scripts/audit_vault.py \
  --vault "/absolute/vault/path" \
  --report "/path/to/report.md"

Preview frontmatter normalization:

python3 <skill_dir>/scripts/normalize_frontmatter.py \
  --path "/absolute/vault/path/1-笔记/原子笔记" --kind atomic

Add --apply only after explicit approval. The normalization script changes
frontmatter only, never note bodies.

WorkBuddy automations

An automation must attach or explicitly invoke this Skill. Its prompt should
contain only the mode, input scope, quantity, and output location. Do not copy
the schema into each automation. Follow references/automation-contracts.md.

Conflict order

When rules conflict, use:

  1. the user's latest explicit instruction;
  2. this Skill's safety and schema constraints;
  3. the current task's protected guide;
  4. other operation manuals;
  5. memory and historical chat.

Report the conflict instead of silently mixing two systems.

常见问题

5 问
答案由本站依据条目字段整理
Obsidian 知识飞轮怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_81096db6/obsidian-knowledge-flywheel。安装方式为未标注。装完刷新技能列表或重开客户端。

Obsidian 知识飞轮支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Obsidian 知识飞轮权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Obsidian 知识飞轮收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Obsidian 知识飞轮用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

热门专题

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。