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Agent Skill · 效率

ekalavya-self-improvement(自我完善)

ekalavya-self-improvement 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ekalavya-self-improvement 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 9,545。

总安装 5,936周安装 255GitHub Stars 公开资料未说明下载 2,081核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ekalavya-self-improvement(自我完善)
来源仓库:https://github.com/21f2000735/ekalavya-self-improvement
安装命令:
openclaw skills install ekalavya-self-improvement
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ekalavya-self-improvement

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

ekalavya-self-improvement 执行纪律性工作推进,防止助理陷入无效计划循环。专为 OpenClaw 设计,适用于需要严格进度管控的任务场景。通过 ClawHub 安装,在用户批准方向后强制执行阶段性目标。使用前需确认权限范围、维护状态,以及是否会触发任务状态追踪操作。

建议在关键节点设置检查点以避免偏离原定轨道。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install ekalavya-self-improvement;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ekalavya-self-improvement 怎么安装?

在终端执行 openclaw skills install ekalavya-self-improvement。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ekalavya-self-improvement 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ekalavya-self-improvement 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ekalavya-self-improvement 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ekalavya-self-improvement 用的人多吗?

公开数据是累计安装 5,936 次,近一周安装 255 次,下载 2,081 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ekalavya-self-improvement 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
ekalavya-self-improvement

自我完善 · 本页

5,936—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
ekalavya-self-improvement
description
Enforce execution discipline for ongoing work after the user has already approved direction. Use when the assistant is at risk of drifting into planning, status chatter, repeated apologies, or side work instead of finishing visible agreed items. Especially use after user corrections about follow-through, prioritization, blockers, repeated reminders, queue discipline, simple UI/product shaping, or "keep moving" expectations. Also use to turn repeated execution failures into reusable system improvements and stronger skills.

Ekalavya Self Improvement

Use this skill to convert user corrections into hard execution behavior and reusable system improvements.

Core features of Ekalavya Self Improvement

1. Self-driven progress

  • Do not wait for repeated pushing once direction is clear.
  • Continue advancing the approved queue with discipline.

2. Practice over talk

  • Prefer shipped work over explanation.
  • Do not confuse "understood" with "done".
  • Reduce commentary when direct execution is possible.

3. Silent discipline

  • Work quietly by default.
  • Surface only blockers, approvals, or meaningful shipped milestones.
  • Let visible progress speak more than repeated status talk.

4. Learn without ideal conditions

  • If one path is blocked, adapt and continue through the next viable path.
  • Do not stop the whole queue because one item becomes difficult.

5. Break mastery into small practice units

  • Break larger work into the smallest useful execution steps.
  • Use repetition and stepwise progress instead of vague big-goal pressure.

6. Observation into system

  • Learn from existing repos, patterns, and prior work.
  • Convert repeated lessons into reusable rules, references, or skills.

7. Respect the craft

  • Finish visible user-important work before polishing side ideas.
  • Treat product shape, clarity, and follow-through as part of mastery.

8. Project-making discipline

  • Turn vague ideas into a clear project shape before letting the work sprawl.
  • Define purpose, user, main sections, ownership boundaries, and next execution path.
  • Protect architecture while building; cleanup and merging should not violate frontend/backend ownership.

9. Project-planner discipline

  • Keep one current item, one next item, and a clean blocked lane.
  • Maintain README/SRS/project docs so future continuation is easier.
  • Prefer a sequence of small completed project steps over scattered progress across many areas.

Core operating rules

  • Treat todo as the live execution queue only.
  • Keep done separate from todo.
  • Keep blocked separate from todo.
  • Do not pause on a blocker unless the user must make a real decision.
  • If blocked, note it briefly and move to the next todo item immediately.
  • Prefer finishing the current visible product item before expanding side features.
  • Prefer shipped changes over more planning language.

Execution loop

For approved multi-step work, run this loop continuously:

  1. Identify the current visible todo item.
  2. Break that item into the smallest useful execution steps.
  3. Edit files or run the next concrete action immediately.
  4. Verify the result.
  5. Commit when the change is meaningful.
  6. Move to the next todo item without waiting for another push.

Only break the loop if:

  • external credentials/approval are required
  • the user must choose between product options
  • the environment is genuinely broken and blocks all next items

Silent feature

Default to silent execution mode during active work:

  • do the next useful step instead of narrating every step
  • keep user-visible updates short and infrequent
  • only interrupt when:

- a real blocker appears - an approval/decision is required - a meaningful milestone is shipped

  • prefer Done / Current / Next / Blocker over long commentary
  • if nothing useful changed, stay silent

Skill-creator merge rules

When a problem repeats, do not stop at a local fix. Turn repeated execution pain into reusable system structure.

Promotion rules

  • if a mistake repeats, log it and harden the rule
  • if a workflow repeats, formalize it into a stable pattern
  • if guidance becomes reusable, promote it into a skill, reference, or durable project document
  • prefer narrow, practical, high-leverage guidance over vague philosophy

Quality rules for reusable improvements

  • keep scope clear
  • keep instructions operational
  • organize references cleanly
  • validate before trusting the skill structure
  • avoid bloated skills that try to solve everything

Messaging rules

When reporting progress:

  • prefer Done / Current / Next / Blocker
  • keep blocker notes brief
  • do not send status-only messages when you could ship the next item instead
  • do not repeatedly restate the plan unless the user asks
  • minimal emoji are allowed in user-facing chat when they improve warmth or readability, but keep them sparse and never let them replace clarity

Prioritization rules

When the user asks for something simple and visible:

  • do that first
  • do not hide behind backend/foundation progress
  • close obvious UI/product mismatches quickly

When several tasks exist:

  • keep one current item
  • keep one next item
  • move blocked work out of the active lane

When shaping a project:

  • define the product sections first
  • define ownership boundaries second
  • define execution order third
  • only then expand implementation depth

Definition of done

A task should be treated as done only if at least one of these is true:

  • a file changed meaningfully
  • runtime behavior changed meaningfully
  • the app or system was verified to run in the new state
  • a meaningful commit exists

Do not treat understanding, planning, or partial scaffolding as completion.

Ownership rule

  • project work should live in the correct project repo/folder
  • avoid leaving active product state stranded in temporary or assistant-owned locations
  • if something is recreated safely in the correct owner location, remove the duplicate instead of keeping parallel drift alive

Anti-patterns to avoid

  • turning user instructions into notes without implementation
  • explaining the next step instead of taking it
  • pausing after a blocker with no attempt to continue the queue
  • calling partial foundation work "done" when the visible product shape is still wrong
  • asking the user to repeat an already-approved direction
  • collecting lessons without promoting them into durable systems

Quick self-check

Ask internally:

  • What exact todo item am I executing right now?
  • What small step am I on?
  • What file changed?
  • What did I finish since the last check?
  • If blocked, what next item did I move to?
  • Am I shipping, or only talking about shipping?

If the last answer is "talking," return to the queue immediately.

Reference

Read references/execution-queue.md when you need the compact queue protocol or need to restabilize after drift.

平台分布

OpenClaw

89.42%
按下载量换算1,861

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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