Token导航 LogoToken导航TokenDH.com
研究检索需要联网clawhub未标认证来源可访问clear审计提醒

skill-seo技能 SEO

Agent Skill

skill-seo 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

18,066

周安装

738

GitHub Stars

公开资料未说明

下载量

5,845
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-seo(技能 SEO)
来源仓库:https://github.com/alexyuui/skill-seo
安装命令:
openclaw skills install skill-seo
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-seo

简介

优化 ClawHub 技能以获得最大可发现性,提升搜索排名。

  • 分析和重写 SKILL.md 描述,建议关键词覆盖率与语义密度。
  • 通过 clawhub 安装,使用 openclaw skills install skill-seo 命令。
  • 需确认权限范围和维护状态,避免触发联网或文件修改。
  • 建议结合原始 README 进一步核验优化策略与使用边界。

SKILL.md

name
skill-seo
description
Optimize your ClawHub skill for maximum discoverability. Analyzes and rewrites SKILL.md description for vector search ranking, suggests keyword coverage, checks competitor positioning, and plans update cadence. Use when you want to 'improve skill SEO', 'get more downloads', 'optimize skill description', 'skill not showing in search', 'increase skill visibility', 'clawhub ranking', 'skill marketing', 'skill discovery', 'why no one finds my skill', 'skill description optimization', 'publish strategy', 'skill metadata', 'get featured on clawhub'. Works with any skill folder — just point it at your SKILL.md.

Skill SEO Optimizer 🔍

Get your ClawHub skill found. This skill analyzes your SKILL.md and optimizes it for ClawHub's vector search, explore rankings, and agent auto-discovery.

Quick Start

Optimize my skill for ClawHub: [path/to/skill/SKILL.md]

The agent will audit your skill and output an optimized version.

How ClawHub Discovery Works

Skills are found through three channels. Each needs different optimization:

Channel 1: clawhub search (Vector Search) — 70% of discovery

ClawHub uses semantic vector search on the description field in YAML frontmatter. This is NOT keyword matching — it's meaning matching.

What gets indexed: Only the description field. What does NOT get indexed: The markdown body, scripts, references, filenames.

Optimization rules:

  1. Cover synonyms and variations
   # ❌ Bad: narrow description
   description: Generate weekly reports from Reddit data.
   
   # ✅ Good: covers how users actually search
   description: "Generate weekly trend reports from Reddit, Twitter/X, and 
     YouTube. Social media monitoring, content research, competitive analysis, 
     trend tracking. Use when asked to 'monitor trends', 'weekly report', 
     'what's trending', 'social listening', 'content ideas from social media',
     'track competitors', 'find viral topics'."
  1. Include trigger phrases — Write the exact phrases users say:

- "how do I..." - "is there a skill that..." - "I want to..." - "can my agent..."

  1. Name the problem, not just the solution
   # ❌ Solution only
   description: Agent journaling and mood tracking.
   
   # ✅ Problem + solution
   description: "Reduce repetitive AI output and pattern rigidity. Agent 
     journaling, mood tracking, creative refresh. Fix agent burnout, boring 
     responses, lack of personality."
  1. Optimal description length: 150-300 words. Too short = misses search terms. Too long = dilutes relevance.

Channel 2: clawhub explore (Rankings) — 20% of discovery

Users browse by: newest, trending, downloads, rating.

Optimization rules:

  1. Update frequently — Each version bump puts you in newest

- Ship v0.1.0, then v0.1.1 next week, v0.1.2 the week after - Even small improvements (typo fix, example added) justify a patch

  1. Version strategically — Big features = minor bump (0.2.0), polish = patch (0.1.1)
  1. Seed initial downloads — Install your own skill across your agents to get off zero

Channel 3: Agent Auto-Discovery (find-skills) — 10% of discovery

Some agents have find-skills installed, which searches ClawHub when users ask for capabilities.

Optimization rules:

  • Description must match natural language questions
  • Include the phrase patterns from Channel 1

Audit Checklist

Run this against any SKILL.md:

## Description Audit
- [ ] Length: 150-300 words?
- [ ] Contains 10+ synonym/variation phrases?
- [ ] Contains 5+ "trigger phrases" (user natural language)?
- [ ] Names the PROBLEM, not just the solution?
- [ ] Mentions target audience/use case?
- [ ] Includes negative triggers ("not showing", "can't find", "no results")?

## Competitive Audit  
- [ ] Searched ClawHub for your top 5 keywords — where do you rank?
- [ ] Identified top 3 competing skills?
- [ ] Description differentiates from competitors?

## Freshness Audit
- [ ] Updated in the last 2 weeks?
- [ ] Changelog or version history maintained?
- [ ] Plan for next 3 patch releases?

Workflow: Optimize an Existing Skill

Step 1: Extract current state

# Read the current description
head -20 path/to/SKILL.md

# Check current search ranking
clawhub search "your main keyword" --limit 10
clawhub search "alternate keyword" --limit 10

Step 2: Competitor analysis

# Find competing skills
clawhub search "your niche" --limit 10
# Inspect top results
clawhub inspect competitor-skill-name

Step 3: Generate optimized description

Formula:

[Core capability in 1 sentence]
[3-4 specific features/modules]
[5+ trigger phrases in natural language]
[Target audience]
[Differentiator from competitors]
[Token/resource cost if relevant]

Step 4: Publish and verify

clawhub publish ./your-skill --version X.Y.Z

# Wait 2-3 minutes for indexing, then verify
clawhub search "your keyword 1" --limit 5
clawhub search "your keyword 2" --limit 5
clawhub search "natural language question" --limit 5

Step 5: Track and iterate

  • Check ranking weekly for your top 5 keywords
  • If dropping, update description and bump version
  • Monitor competitors for new entrants

Anti-Patterns

  • Keyword stuffing with irrelevant terms — Vector search penalizes semantic mismatch
  • Description longer than 400 words — Dilutes relevance signal
  • Generic descriptions — "A useful skill for various tasks" matches nothing
  • Never updating — Falls off newest, loses freshness signal
  • Ignoring competitors — If 3 skills match the same query, differentiation matters

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

96.58%
按下载量换算5,645

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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