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seo-flowSEO flow 搜索

Agent Skill

seo-flow 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。

总安装

1,567

周安装

64

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下载量

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CodexClaudeCursorGemini CLI

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

unknown

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:seo-flow(SEO flow 搜索)
来源仓库:https://github.com/agricidaniel/claude-seo
仓库路径:skills/seo-flow
安装命令:
npx skills add https://github.com/agricidaniel/claude-seo --skill seo-flow
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/agricidaniel/claude-seo --skill seo-flow

简介

用于查找、检索和筛选相关信息。

  • 适合根据关键词快速定位候选结果,支持多宿主环境。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装命令:npx skills add https://github.com/agricidaniel/claude-seo --skill seo-flow
  • 安装前建议确认是否会触发联网或文件读写操作。

SKILL.md

FLOW Framework — Find · Leverage · Optimize · Win

Framework and prompts © Daniel Agrici, CC BY 4.0 — github.com/AgriciDaniel/flow

FLOW is an evidence-led SEO operating model built for the AI-search era. Claude SEO integrates the FLOW prompt library (41 prompts across 5 stages) so every analysis can be driven by structured, evidence-backed AI prompts rather than improvised queries.

Runtime context: Load references/flow-framework.md on every /seo flow activation. Load prompt files on demand — only for the stage the user requests.


Commands

CommandWhat it does
/seo flowShow FLOW overview + stage menu
`/seo flow find [url\topic]`Find-stage: keyword research, gap analysis, SERP intent mapping (5 prompts)
/seo flow leverage [url]Leverage-stage: backlink strategy, off-site authority (1 prompt)
/seo flow optimize [url]Optimize-stage: select 2-3 most relevant of 21 prompts based on context
/seo flow win [url]Win-stage: BOFU, conversion rate, dual-surface scorecard (3 prompts)
/seo flow local [url]Local-stage: GBP optimization, meta, title tags, local audits (11 prompts)
/seo flow promptsFull index of all 41 prompts — stage, name, trigger conditions
/seo flow syncPull latest prompt files from github.com/AgriciDaniel/flow

Orchestration Logic

On /seo flow (no sub-command)

  1. Read references/flow-framework.md
  2. Show the FLOW stage overview with a one-line description of each stage
  3. Ask: which stage matches the user's current situation?

On /seo flow find [url|topic]

  1. Read all files in references/prompts/find/
  2. Apply each prompt to the URL or topic
  3. Cross-reference: "For deeper SERP clustering, see /seo cluster <seed-keyword>"

On /seo flow leverage [url]

  1. Read the file in references/prompts/leverage/
  2. Apply to the URL's current backlink context
  3. Cross-reference: "For raw backlink data, see /seo backlinks <url>"

On /seo flow optimize [url]

  1. Read all file names in references/prompts/optimize/
  2. Read prior analysis context (URL, industry vertical, any prior skill output in conversation)
  3. Select 2-3 most relevant prompts; load only those files
  4. Apply selected prompts; note the others are accessible via /seo flow prompts
  5. Cross-reference: "For full content quality analysis, see /seo content <url> and /seo geo <url>"

On /seo flow win [url]

  1. Read all files in references/prompts/win/
  2. Apply each prompt to the URL's conversion and BOFU context
  3. Cross-reference: "For SXO persona scoring, see /seo sxo <url>"

On /seo flow local [url]

  1. Read all files in references/prompts/local/
  2. Apply to the URL's local SEO context
  3. Cross-reference: "For full local SEO analysis, see /seo local <url> and /seo maps [command]"

On /seo flow prompts

  1. Read references/prompts/README.md
  2. Display the full index: all 41 prompts with stage, name, trigger conditions

On /seo flow sync

  1. Run: python scripts/sync_flow.py
  2. Display the JSON summary (files added, updated, unchanged)
  3. Show attribution notice after sync completes

Context Matching (Optimize stage)

The optimize stage has 21 prompts. Dumping all 21 is noise. Select by priority:

  1. Industry vertical (SaaS → on-page + technical; local → citations + GBP; publisher → E-E-A-T + freshness)
  2. Prior skill output (seo-technical flagged crawl issues → technical optimize prompts; seo-content flagged E-E-A-T gaps → content optimize prompts)
  3. URL signals (product pages → conversion; blog → freshness + authority)

Always surface exactly 2-3 prompts. State which prompts you chose and why.


Reference Files

Load on-demand — do NOT load all at startup:

  • references/flow-framework.md — FLOW operating model (load on every /seo flow activation)
  • references/bibliography.md — Evidence sources; load when citing studies or statistics
  • references/prompts/README.md — Prompt index; load for /seo flow prompts
  • references/prompts/find/ — 5 prompts; load for /seo flow find
  • references/prompts/leverage/ — 1 prompt; load for /seo flow leverage
  • references/prompts/optimize/ — 21 prompts; load selectively for /seo flow optimize
  • references/prompts/win/ — 3 prompts; load for /seo flow win
  • references/prompts/local/ — 11 prompts; load for /seo flow local

Attribution

Every /seo flow activation (any sub-command) outputs before analysis:

Framework and prompts © Daniel Agrici, CC BY 4.0 — github.com/AgriciDaniel/flow

Do not omit or modify the attribution.


Error Handling

ScenarioAction
references/flow-framework.md missing"FLOW reference files not synced. Run: /seo flow sync"
Prompt file missing"Run /seo flow sync to pull the latest prompts from the FLOW repo."
sync_flow.py network errorDisplay the script's stderr. Check rate limits: gh api rate_limit.
sync_flow.py auth errorRun gh auth login then retry.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

36.27%
按下载量换算184

Claude

31.12%
按下载量换算158

Cursor

17.45%
按下载量换算88

Gemini CLI

9.72%
按下载量换算49

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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

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