Token导航 LogoToken导航

Agent Skill · 研究检索

skill-improvement(技能提升)

skill-improvement 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

skill-improvement 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 12,023。

总安装 10,655周安装 453GitHub Stars 公开资料未说明下载 3,733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:skill-improvement(技能提升)
来源仓库:https://github.com/acautomata/skill-improvement
安装命令:
openclaw skills install skill-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 skill-improvement

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

skill-improvement 用于优化现有 Claude 技能质量或审核合规性问题。适合在 OpenClaw 中发现技能表现不佳或存在明显缺陷时使用。可自动触发优化流程或生成改进建议报告供人工审阅。使用前需授权访问目标技能源码和修改权限。注意优化过程可能影响现有功能,建议先备份再操作。

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 skill-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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-improvement 怎么安装?

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

skill-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。

skill-improvement 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

skill-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。

skill-improvement 用的人多吗?

公开数据是累计安装 10,655 次,近一周安装 453 次,下载 3,733 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。

skill-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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skill-improvement

技能提升 · 本页

10,655—只读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
skills-improvement
description
Use when optimizing existing Claude skills, checking skill quality, auditing skill compliance, or when skills have obvious issues. Triggers on skill optimization requests, quality checks, or skill improvement tasks.

Skills Improvement

Overview

Systematically optimize skill quality through a diagnostic-report-select-execute-verify workflow. Ensure skills comply with Claude's official best practices for maximum effectiveness.

Core principle: If you didn't diagnose a skill, you don't know what to fix.


Workflow

digraph workflow {
    "1. Diagnose" [shape=box];
    "2. Report" [shape=box];
    "3. Select" [shape=box];
    "4. Execute" [shape=box];
    "5. Verify" [shape=box];
    
    "1. Diagnose" -> "2. Report";
    "2. Report" -> "3. Select";
    "3. Select" -> "4. Execute";
    "4. Execute" -> "5. Verify";
    "5. Verify" -> "3. Select" [label="fail"];
}

Phase 1: Diagnose

Scan skill for quality issues across 4 categories.

Categories:

  • Metadata (HIGH): name, description, keywords
  • Architecture (MEDIUM): file structure, progressive disclosure
  • Text (MEDIUM): conciseness, clarity, token efficiency
  • Code (HIGH): error handling, dependencies, validation

Process:

  1. Read SKILL.md and all referenced files
  2. Apply diagnostic checklist (see references/diagnostic-checklist.md)
  3. Record each issue with category, location, severity

Output: Raw issue list

Detailed checklist: See diagnostic-checklist.md


Phase 2: Report

Present findings in structured format.

Report structure:

# Skill Diagnostic Report: [name]

**Grade:** [A/B/C/D]
**Issues:** X total (Y high, Z medium, W low)

## High Priority (Y)
[Issues that prevent discovery or execution]

## Medium Priority (Z)
[Issues that impact quality or usability]

## Low Priority (W)
[Minor improvements]

For each issue include:

  • Category and check ID
  • Current state vs expected state
  • Impact explanation
  • Specific fix recommendation
  • Reference to quality standard

Report templates: See report-templates.md


Phase 3: Select

User chooses which issues to fix.

Selection interface:

## Select Issues to Fix

### High Priority ⚠️
- [ ] 1. [Problem] - Impact: [brief statement]
- [ ] 2. [Problem] - Impact: [brief statement]

### Medium Priority ⚙️
- [ ] 3. [Problem] - Impact: [brief statement]

### Low Priority 💡
- [ ] 4. [Problem] - Impact: [brief statement]

**Quick Actions:**
- `Fix all high priority` - Auto-select HIGH issues
- `Fix selected` - Process checked items
- `Details [N]` - View detailed analysis

Interaction:

  1. User reviews issues
  2. User checks boxes or uses quick actions
  3. System confirms selection
  4. Proceed to execution

Phase 4: Execute

Apply selected fixes to skill files.

Execution rules:

  1. Backup: Create .backup before changes
  2. Order: Fix HIGH → MEDIUM → LOW
  3. Show: Display diff for each modification
  4. Update: Propagate changes to related files
  5. Log: Record all changes

Fix application:

For each selected issue:
  1. Locate exact position
  2. Generate fix content
  3. Preview change (diff)
  4. Apply edit
  5. Log change
  6. Update related content if needed

Output: Modified skill files + change log

Quality standards: See quality-standards.md


Phase 5: Verify

Test optimization effectiveness with subagents.

Test types:

  1. Trigger test: Skill discovered correctly
  2. Understanding test: Workflow interpreted correctly
  3. Execution test: Can perform real task
  4. Regression test: Existing function still works

Process:

  1. Define test scenarios
  2. Dispatch subagents (parallel)
  3. Analyze results
  4. Generate verification report

If verification fails:

  • Document failure
  • Return to Phase 3 or 4
  • Apply fixes
  • Re-run verification
  • Iterate until pass

Verification guide: See verification-guide.md


Quick Reference

PhaseActionOutput
1. DiagnoseScan skillIssue list
2. ReportFormat findingsDiagnostic report
3. SelectUser choosesSelected issues
4. ExecuteApply fixesModified files
5. VerifyTest changesVerification report

Problem Severity

LevelDefinitionAction
HIGHPrevents discovery/executionMust fix
MEDIUMImpacts quality/usabilityShould fix
LOWMinor improvementNice to fix

Quality Grading

  • A (Excellent): All HIGH pass, < 2 MEDIUM fail
  • B (Good): All HIGH pass, < 5 MEDIUM fail
  • C (Acceptable): All HIGH pass
  • D (Needs Work): Any HIGH fail
  • F (Broken): Multiple HIGH fail

Common Issues

Metadata problems:

  • Name format wrong → Use lowercase-hyphen
  • Description missing "Use when" → Add trigger conditions
  • No keywords → Add specific trigger terms

Architecture problems:

  • SKILL.md too long → Split to references/
  • Deep nesting → Flatten to 1 level
  • No progressive disclosure → Add "See [file.md]" links

Text problems:

  • Verbose explanations → Remove, assume Claude knows basics
  • Time-sensitive info → Move to "Old Patterns" section
  • Terminology inconsistent → Standardize terms

Code problems:

  • No error handling → Add try/except with helpful messages
  • Magic numbers → Add justification comments
  • Undeclared dependencies → List in SKILL.md

Anti-Patterns

❌ Auto-fix all issues without user selection ❌ Skip verification phase ❌ Ignore context (domain-specific needs) ❌ Break existing functionality ❌ Over-engineer simple skills


Integration

Dependencies:

  • superpowers:writing-skills - Skill authoring patterns
  • superpowers:test-driven-development - Verification methodology

Coordinates with:

  • skill-creator - Use quality standards when creating skills
  • superpowers:verification-before-completion - Verify before deploying

平台分布

OpenClaw

94.33%
按下载量换算3,521

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

继续浏览同类 Skills