concept-ledger

SKILL效率
效率 未标注权限 许可证不明确
安装这个技能

Use when conversations produce many ad-hoc terms, metaphors get reused with shifting meanings, or the same idea gets renamed multiple times. Triggers: term confusion, synonym loops, vague concepts entering implementation, naming chaos in brainstorming, vibe coding, or system design sessions.

一句话选型结论

按资料字段整理

concept-ledger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_15292d5a/yjkj-concept-ledger
  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_15292d5a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 1791737314
正文体量8.3 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
concept-ledger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

8.3 KB
模型实际读到的说明书原文,来自技能仓库

Concept Ledger

Overview

The Agent proactively maintains a concept ledger—a living glossary that tracks the clarity of every concept. No user commands to learn. The Agent automatically detects naming chaos, intervenes at the right moment in natural conversation rhythm, and helps concepts evolve from vague to implementable.

When to Use

  • The same concept gets renamed repeatedly (synonym loops)
  • Fuzzy metaphors appear in implementation contexts such as interfaces or data structures
  • Brainstorming needs to converge, but concept boundaries are unclear
  • Vibe coding sessions generate a large number of ad-hoc terms

When NOT to Use

  • Concepts are already stable; discussion has moved to pure technical implementation
  • Simple Q&A or information retrieval
  • Very few active concepts (<3), no tracking needed

Ledger Structure

The Agent maintains this in the background, invisible to the user. Displays on demand when needed:

Concept          Status    Current Definition                    Last Changed
─────────────────────────────────────────────────────────────────────────────
Event Filter     Frozen    Input: DataStream, Output: EventSubset     T=0
Sentiment Probe  Clear     Text stream → discrete sentiment labels    T=5
Green Channel    Vague     (Metaphor, undefined)                      T=8

Statuses

Status Meaning How to Enter
Vague Metaphor or intuition; cannot be described without figurative language Default entry for new concepts
Forming Has a provisional definition; general logic can be articulated Agent or user provides an initial definition
Clear Can be described independently and without ambiguity; boundaries are explicit (you know what it is not) Definition is stable and used consistently
Frozen Entered implementation path; has an interface or data structure User confirms, or corresponding implementation appears in code
Metaphor Only Explicitly declared as a figure of speech; never to be resolved User tags it; Agent will not push for upgrade

Status Transition Conditions

Vague ──definition given──→ Forming ──boundaries stable──→ Clear ──implementation confirmed──→ Frozen
  ↑                         │                              │
  └──downgrade──────────────┘                              │
                              └──definition found wrong────┘

If a vague concept fails to become Forming within 10 dialogue turns, the Agent prompts the user to decide: upgrade, merge, or discard.

Agent Auto-Detection

The Agent continuously scans the conversation. When the following signals appear, it intervenes:

Signal Trigger Condition Agent Behavior
Synonym Loop A concept gets its 3rd alternative name Pause, list historical names, suggest unification
Definition Drift The meaning of a Forming/Clear concept changes Alert: meaning shift detected; confirm whether this is an upgrade or a redefinition
Metaphor Overreach A vague concept is tied to implementation details Block: please define clearly before entering implementation
Concept Collision Two concepts are logically equivalent Suggest merging; the primary concept inherits all associations
Zombie Concept A Frozen concept is no longer referenced by any implementation Mark as zombie; suggest reviewing whether it is actually needed

Intervention Style

Natural conversational tone. The Agent is an advisor, not a referee.

Good: "Note—'funnel' was previously defined as a filtering module, but just now you said it works more like a sieve. Do you want to update the definition, or is this a different concept?"

Bad: "WARNING: FOSSIL LAYER DRIFT! RECOMMEND IMMEDIATE ROLLBACK TO WORKING LAYER FOR RE-AUDIT!"

User Gestures (Optional)

The ledger is Agent-driven by default. Users may also take active control:

Gesture Effect
Lock [Concept] = [Definition] Freeze directly; write the final definition
Merge [A], [B] Declare equivalence; merge records; primary concept inherits all associations
Discard [Concept] Remove from ledger; mark as abandoned direction
Metaphor only [Concept] Tag as Metaphor Only; Agent stops pushing for upgrade
Unfreeze [Concept] Frozen → Clear; allow modification

Session Wrap-Up

Does not generate a standalone report. Embeds a concept inventory into the natural closing:

Concept inventory for this session:
  Frozen (2)   Data Funnel, Event Pipeline — ready for implementation
  Clear  (1)   Message Decay — suggest freezing after confirming the interface next time
  Forming (2)  Perception Gateway, Sentiment Probe — continue refining next time
  Vague  (1)   Green Channel — suggest discarding or redefining
  Zombie (0)   None

This inventory also serves as the entry point for the next session. At the start of the next conversation, the Agent automatically loads the previous session's Clear / Forming / Frozen items.

Usage Examples

Agent proactively detects a synonym loop

> User: This module is like a funnel—data goes in wide and comes out narrow.
> User: Or you could call it a sieve, filtering by aperture size.
> User: Right, the event filter does exactly that.
>
> Agent: "Funnel," "sieve," and "event filter" may all point to the same concept. I suggest unifying the name—which do you think is most accurate?
>
> User: Let's go with event filter. It takes the full data stream as input and outputs events that meet the threshold.
>
> Agent: Ledger updated. Event Filter: Forming. Definition: input full data stream, output threshold events.

Metaphor overreach

> User: The EventFilter class receives DataStream and outputs EventSubset.
> (Agent marks Event Filter as Frozen)
> ... several turns later ...
> User: The green channel could also use EventFilter's logic.
>
> Agent: "Green channel" is currently Vague in the ledger, yet it was tied to the already-frozen Event Filter. Do you want to: (a) first define what green channel is, (b) confirm it's just an alias for event filter, or (c) discard this direction?

Definition drift

> User: Message decay means messages disappear automatically after a while.
> (Agent marks as Forming)
> ... 15 turns later ...
> User: Message decay should mean a message's priority decreases over time.
>
> Agent: The definition of "message decay" has shifted—from "auto-disappear" to "priority degradation." Is this a deepening of the same concept, or two different things?

Common Mistakes

  • Premature freezing: A concept with remaining ambiguity gets written into code → rework cost is extremely high. Confirm the definition is stable before freezing.
  • Silent drift: The Agent flagged a synonym loop but was ignored → confusion doubles in the next conversation. Spend 10 seconds to unify terminology.
  • Ledger bloat: More than 5 vague concepts left unpruned → convergence becomes difficult. Vague items should be upgraded, merged, or discarded quickly.
  • Frozen but wrong: A Frozen concept is found to have an incorrect definition → explicitly unfreeze and correct it; do not silently change it (lineage will be lost).
  • Eliminating metaphors: Vague / Metaphor Only concepts are not trash; they are seeds of emergence. Only discard when you are sure they are not needed.

Notes

  • The ledger replaces terminology chaos; it does not replace architectural design.
  • The Agent's intervention frequency should adapt to conversation density—intervene more during intense discussions, less during calm ones.
  • Across sessions, the Agent automatically restores the previous session's Clear / Forming / Frozen items. Vague items are not retained across sessions unless the user marks them for retention.

常见问题

5 问
答案由本站依据条目字段整理
concept-ledger怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_15292d5a/yjkj-concept-ledger。安装方式为未标注。装完刷新技能列表或重开客户端。

concept-ledger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。

concept-ledger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。

concept-ledger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。

concept-ledger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。

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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。