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Agent Skill · 研究检索

social-media-seo(social media SEO 搜索)

social-media-seo 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

social-media-seo 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,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 56,981。

总安装 442周安装 19GitHub Stars 95下载 155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
unknown

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:social-media-seo(social media SEO 搜索)
来源仓库:https://github.com/rfxlamia/claude-skillkit
仓库路径:skills/social-media-seo
安装命令:
npx skills add https://github.com/rfxlamia/claude-skillkit --skill social-media-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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/rfxlamia/claude-skillkit --skill social-media-seo

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。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于社交媒体 SEO 优化、关键词排名或内容曝光策略研究等场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态,以及是否涉及联网或文件操作。social-media-seo 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/social-media-seo

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/rfxlamia/claude-skillkit --skill social-media-…;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

social-media-seo 怎么安装?

在终端执行 npx skills add https://github.com/rfxlamia/claude-skillkit --skill social-media-seo。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

social-media-seo 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

social-media-seo 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。

social-media-seo 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

social-media-seo 用的人多吗?

公开数据是累计安装 442 次,近一周安装 19 次,下载 155 次,GitHub 95 星。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。

social-media-seo 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
social-media-seo

social media SEO 搜索 · 本页

44295只读未明确通过

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

Social Media SEO (2025)

Transform social media posts into discoverable, engaging content using research-backed SEO strategies and extensive formula databases.

What This Skill Solves

The 2025 Social Media Landscape Problem:

  • Instagram pivoted from hashtag-based discovery to keyword-based SEO (Google/Bing now index captions)
  • X/Twitter prioritizes first 100 characters for search visibility
  • Generic content gets lost (zero-click searches at 60%, users find answers on platform)
  • 70% of Gen Z use TikTok/Instagram as primary search engines, not Google

This skill provides:

  1. Platform-specific optimization playbooks (Instagram, X/Twitter, Threads)
  2. CSV databases with 100+ proven formulas (captions, threads, hooks, viral patterns)
  3. Data-driven selection (includes avg_engagement, conversion_rate metrics)
  4. Non-monotonous variety (dozens of styles instead of static templates)

When to Use This Skill

Trigger patterns:

  • "Optimize my Instagram caption for SEO"
  • "Create viral Twitter thread structure"
  • "Best hashtag strategy for [platform]"
  • "Write engaging social media post about [topic]"
  • "Improve discoverability on [platform]"
  • "Generate multiple caption variations"

Use with seo-manager subagent for intelligent querying of databases and customized recommendations.

Core Methodology

2025 Social Media SEO Principles

1. Keyword-First Approach (Instagram/Threads)

  • 3-5 highly relevant hashtags (not 30)
  • Keywords in first 15 characters of caption
  • Alt text optimization for Google/Bing indexing
  • Profile optimization (name, username, bio)

2. First-100-Characters Rule (X/Twitter)

  • Critical keywords front-loaded
  • Hook formula in opening
  • Bio optimization (160 chars with primary keyword)
  • Thread architecture matters

3. E-E-A-T for Social (All Platforms)

  • Experience: Show, don't tell
  • Expertise: Cite sources, use data
  • Authoritativeness: Consistent expertise
  • Trust: Authentic voice, no manipulation

4. Viral + SEO Integration

  • Emotion (surprise/joy/curiosity) + Keywords
  • Relatability + Search intent
  • Utility/Shareability + Semantic optimization
  • Timeliness + Trending keywords

Platform-Specific Optimizations

Instagram (Keyword-Based Discovery)

  • Caption keywords > Hashtags (2025 shift)
  • Alt text = Google/Bing SEO opportunity
  • Reel optimization: 30-90 sec, on-screen text, captions
  • Name field searchable (not just username)

X/Twitter (Real-Time Relevance)

  • Thread first tweet = hook + keywords (first 50 chars)
  • Engagement drives distribution (replies > retweets > likes)
  • Bio formula: [Who] + [What] + [Keyword]
  • Fresh content boosted (post timing matters)

Threads (Meta's Discovery Algorithm)

  • Cross-promotion with Instagram
  • Topic clarity (last 9-12 posts influence categorization)
  • Connected reach (existing followers) vs Unconnected reach (discovery)

How to Use The Databases

This skill includes 7 CSV databases with proven formulas:

Database Structure

# Example: caption-styles.csv
num,platform,style_name,goal,structure,example,avg_engagement,character_count,keyword_placement
1,instagram,Educational Hook,"teach + engage","[Question] + [Answer] + [CTA]","Did you know...",8.2%,145,"first 15 chars"

Querying Pattern

Manual Search:

  1. Open relevant CSV (e.g., databases/caption-styles.csv)
  2. Filter by: platform, goal, avg_engagement threshold
  3. Select 2-3 matching formulas
  4. Adapt structure to your content

With seo-manager subagent:

User: "Instagram caption for educational content, high engagement"
→ Subagent queries: platform=instagram, goal=teach, avg_engagement>8%
→ Returns: Top 3 formulas with reasoning
→ Generates: 3 customized variations

Available Databases (P0-P2)

P0 (Core):

  • caption-styles.csv - 30+ caption formulas by platform/goal
  • hook-formulas.csv - 25+ first-3-second hooks

P1 (Advanced):

  • thread-structures.csv - 25+ thread architectures
  • hashtag-strategies.csv - 20+ platform-specific strategies
  • viral-patterns.csv - 20+ proven viral triggers

P2 (Intelligence):

  • engagement-tactics.csv - 15+ CTA formulas
  • keyword-clusters.csv - 10+ semantic keyword groups

Quick Start Guide

For Instagram Posts

  1. Profile optimization (one-time):

- Name field: Include primary keyword (e.g., "Sarah | SEO Expert") - Username: Relevant to niche if possible - Bio: 2-3 keywords naturally woven - Enable "Website Embeds" (Settings → Sharing)

  1. Caption creation:

- Query caption-styles.csv: filter by goal (educate/entertain/convert) - Front-load keyword in first 15 characters - Use 3-5 relevant hashtags (micro + mid + broad mix) - Add descriptive alt text with keywords

  1. Reel optimization:

- Length: 30-90 seconds (higher completion rate) - On-screen text: Include keywords - Captions: Always enable - Trending audio: When relevant to brand

For X/Twitter Threads

  1. Bio optimization:

- Formula: [Role/Expertise] helping [audience] with [value] - Example: "SEO strategist helping creators with discoverability" - 160 chars, primary keyword included

  1. Thread structure:

- Query thread-structures.csv: select thread type - Tweet 1: Hook + keyword (first 50 chars critical) - Tweets 2-9: Value delivery - Tweet 10: Summary + CTA - Alt text on all images

  1. Engagement optimization:

- Post timing: Use analytics for audience peak - First hour critical (80% of viral potential decided) - Reply to comments within 1 hour - Quote-tweet relevant content

For Threads

  1. Cross-promote with Instagram:

- Share Threads posts to Instagram Stories - Similar content themes (algorithm recognizes)

  1. Topic clarity:

- Last 9-12 posts influence categorization - Stay focused on niche topics - Avoid random off-topic posts

  1. Two-tier distribution:

- Connected reach: Engagement quality matters - Unconnected reach: Topic relevance + freshness

Integration with seo-manager Subagent

The seo-manager subagent (separate file) provides intelligent orchestration:

Capabilities:

  1. Multi-database querying (combines patterns from multiple CSVs)
  2. Goal-based recommendations (awareness/engagement/conversion)
  3. Platform-specific optimization
  4. A/B test variation generation
  5. Evidence-based reasoning (cites avg_engagement data)

Example workflow:

User: "Create Instagram post about AI tools for designers"

seo-manager:
1. Queries caption-styles.csv: platform=instagram, goal=educate
2. Queries hook-formulas.csv: emotion_trigger=curiosity
3. Queries keyword-clusters.csv: category=ai+design
4. Combines patterns into 3 variations
5. Explains: "Pattern #12 (12.1% avg engagement) + Hook #5 (curiosity gap)"

Best Practices

Content Creation:

  • ✅ Front-load keywords (first 15-50 chars depending on platform)
  • ✅ Use proven formulas from databases (not guessing)
  • ✅ Add alt text to EVERY image (accessibility + SEO)
  • ✅ Track performance (A/B test different formulas)
  • ❌ Don't keyword stuff (natural integration only)
  • ❌ Don't use 30 hashtags (3-5 relevant ones better)
  • ❌ Don't ignore platform-specific features

Database Usage:

  • ✅ Filter by proven metrics (avg_engagement >7%)
  • ✅ Adapt formulas to your voice (don't copy verbatim)
  • ✅ Combine multiple patterns for uniqueness
  • ✅ Update with your winning formulas
  • ❌ Don't use every formula blindly
  • ❌ Don't ignore platform column (Instagram ≠ Twitter)

SEO Optimization:

  • ✅ Research semantic keywords (not just primary)
  • ✅ Optimize for both platform search AND Google
  • ✅ Build topic authority (consistent niche focus)
  • ✅ Engage authentically (quality > quantity)
  • ❌ Don't sacrifice readability for keywords
  • ❌ Don't neglect analytics (track what works)

Notes and Limitations

Algorithm Changes:

  • Databases reflect 2025 best practices (Instagram Dec 2025, X/Twitter Nov 2025)
  • Mark deprecated patterns when algo updates
  • Add new winning formulas as discovered

Not a Magic Bullet:

  • SEO improves discoverability, NOT quality
  • Bad content with good SEO = still bad content
  • Authenticity > Optimization (humans detect manipulation)

Platform Constraints:

  • Instagram: Only public professional accounts (18+) eligible for Google indexing
  • X/Twitter: Nofollow links (but still valuable for visibility)
  • Threads: Young platform, SEO features evolving

Quality Over Quantity:

  • 1 optimized post > 10 generic posts
  • Sustained engagement > viral spike
  • Community building > vanity metrics

References

Detailed Playbooks:

  • references/instagram-seo.md - Comprehensive Instagram optimization
  • references/x-twitter-seo.md - X/Twitter strategies
  • references/threads-seo.md - Threads best practices
  • references/analytics-guide.md - What to track & optimize

CSV Databases:

  • databases/caption-styles.csv
  • databases/hook-formulas.csv
  • databases/thread-structures.csv
  • databases/hashtag-strategies.csv
  • databases/viral-patterns.csv
  • databases/engagement-tactics.csv
  • databases/keyword-clusters.csv

Helper Scripts:

  • scripts/query_database.py - Search/filter CSVs programmatically

平台分布

Codex

34.8%
按下载量换算54

Claude

30.39%
按下载量换算47

Cursor

22.11%
按下载量换算34

Gemini CLI

9.72%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。

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