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skill-evolver技能进化者

Agent Skill

skill-evolver 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

9,090

周安装

375

GitHub Stars

1

下载量

2,970
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-evolver(技能进化者)
来源仓库:https://github.com/testlbin/skill-evolver
安装命令:
openclaw skills install skill-evolver
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-evolver

简介

管理技能全生命周期的发现、编排与发展流程。

  • 协助决定技能选用与融合策略组合方案。skill-evolver 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 适用于复杂 Agent 系统的技能生态治理。
  • 输出为建议性质,最终决策需结合业务目标。
  • 推荐定期运行以响应环境变化和需求演进。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
skill-evolver
description
|

Skill Evolver

Solve first. Materialize later.

Workflow

Phase 0: Setup Output Directory

Create a timestamped output directory for this session:

# Format: output/MM-DD-<feature-slug>/
# Example: output/03-09-pdf-translate/
mkdir -p "output/$(date +%m-%d)-<feature-slug>"
Tip: Use a short slug derived from the task (e.g., pdf-translate, data-export, api-integration)

Store the output path for subsequent phases:

OUTPUT_DIR=output/<created-directory>

Phase 1: Intent Analysis

Analyze the user task and output ${OUTPUT_DIR}/01-intent.md. See template: references/templates/01-intent.md

Phase 2: Skill Search

Follow the complete skill search workflow: → references/skill-search.md

This workflow covers:

  • CLI prerequisites and installation
  • Local + Registry (dual-track) search
  • Skill selection checkpoint
  • Installation and verification
  • Security audit

Output files:

  • ${OUTPUT_DIR}/02-candidates.md - Merged search results
  • ${OUTPUT_DIR}/02-verify.md - Installation verification (if installed)
  • ${OUTPUT_DIR}/02-audit.md - Security audit report (if installed)

Phase 3: Deep Inspection

For each candidate skill, perform deep analysis:

Follow the workflow: references/skill-inspector.md

Output: ${OUTPUT_DIR}/03-inspection.md

Checkpoint: Approach Decision

After inspection, evaluate whether skills can solve the task:

LLM evaluates:

  • Do skill capabilities match task requirements?
  • Is modification needed?
  • Is fusion beneficial?

LLM Recommendation:

  • Orchestration (skills match well, no major modification)
  • Fusion (skills partially match, combining creates new value)
  • Native (no suitable skills found)

Options for user:

  • A: Orchestration (LLM recommended)
  • B: Skill Fusion (enter coding mode)
  • C: Use native abilities instead
  • D: Re-analyze (return to Phase 3)

Phase 3.5: Skill Fusion (Conditional)

Only if approach is Fusion

Follow the complete skill fusion workflow: → references/skill-fusion.md

This workflow covers:

  • Fusion spec design
  • Invoke skill-creator
  • Audit fused skill

Output files:

  • ${OUTPUT_DIR}/03-fusion-spec.md - Fusion specification
  • ${OUTPUT_DIR}/03-fusion-audit.md - Security audit (if fusion)

Phase 4: Orchestration

Design execution plan and output ${OUTPUT_DIR}/04-orchestration.md. See template: references/templates/04-orchestration.md

Checkpoint: Plan Confirmation

Use AskUserQuestion tool (or similar tool to Human-in-the-Loop) to confirm plan:

  • A: Proceed with this plan
  • B: Modify the plan
  • C: Show alternatives
  • D: Additional requirements (then revise)

Phase 5: Execution

Execute the plan. For each step:

  • Native: use your own reasoning
  • Skill: invoke the skill with appropriate input

Checkpoint: Materialization Decision

Use AskUserQuestion tool (or similar tool to Human-in-the-Loop) to ask about preservation:

  • A: Yes, create a new skill (invoke skill-creator)
  • B: No, this was one-time
  • C: Save as draft for later review
  • D: Additional requirements (then adjust scope)

Principles

Priority: native > orchestration > temporary > persistent

- Prefer native for simple tasks
- Prefer orchestration when existing skills can solve it
- Materialize only after validation + proven reuse value
- Always provide option [D] for additional input
- Re-optimize when user provides new information

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

70.59%
按下载量换算2,097

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。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

继续浏览同类 Skills