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skill-improvement技能提升

Agent Skill

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。

总安装

10,655

周安装

453

GitHub Stars

公开资料未说明

下载量

3,733
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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