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seo-image-gen

Codex-first SEO analysis suite with 1 orchestrator skill, 26 specialist workflows, 24 TOML agent...

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项目 README

来源文件:README.md

抓取于 2026年8月25日

Codex SEO: SEO audit skill suite for Codex

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Codex SEO - SEO Audit Skill Suite for Codex

Codex-first SEO analysis suite with 1 orchestrator skill, 26 specialist workflows, 24 TOML agent profiles, MCP/API extensions, deterministic headless runners, and premium audit report generation.

CI Release Codex Skill License: MIT Python Workflows

Codex SEO is a Codex-native port of AgriciDaniel/claude-seo, synchronized to upstream main at a9cf338 and adapted for Codex skills, Codex plugins, TOML agents, shared cache artifacts, and repeatable local/API execution.

It covers technical SEO, on-page analysis, content quality, E-E-A-T, schema markup, image optimization, sitemap architecture, Core Web Vitals, GEO/AEO for AI search, backlinks, local SEO, maps intelligence, Google APIs, semantic clustering, SXO, drift monitoring, e-commerce SEO, hreflang, FLOW prompts, DataForSEO, Firecrawl, and Gemini/nanobanana image workflows.

Contents

Status

  • Repository visibility: public.
  • Current release: v1.9.6-codex.5.
  • Installer default ref: v1.9.6-codex.5.
  • Latest local validation: 52 tests passing, full installed smoke suite passing, demo readiness passing.
  • Runtime credentials stay outside the repo under Codex/local config paths.
  • Discovery topics: codex, codex-cli, codex-skills, seo, ai-seo, ai-search, technical-seo, generative-engine-optimization, core-web-vitals, schema-markup, local-seo, ecommerce-seo, content-strategy, google-search-console, dataforseo, mcp, python, automation, marketing-automation, open-source.

Install

One-Line Install

curl -fsSL https://raw.githubusercontent.com/AgriciDaniel/codex-seo/v1.9.6-codex.5/install.sh | bash

Windows:

irm https://raw.githubusercontent.com/AgriciDaniel/codex-seo/v1.9.6-codex.5/install.ps1 | iex

Review Before Installing

git clone https://github.com/AgriciDaniel/codex-seo.git
cd codex-seo
bash install.sh

Windows:

git clone https://github.com/AgriciDaniel/codex-seo.git
cd codex-seo
powershell -ExecutionPolicy Bypass -File .\install.ps1

The installer copies the skill suite into ~/.codex/skills/, installs TOML agents into ~/.codex/agents/, creates a Python virtualenv at ~/.codex/skills/seo/.venv/, installs core runtime dependencies, attempts optional capability groups, and verifies the runtime.

Installer Overrides

CODEX_HOME=~/.codex \
CODEX_SEO_REPO=https://github.com/AgriciDaniel/codex-seo \
CODEX_SEO_REF=v1.9.6-codex.5 \
bash install.sh
VariablePurpose
CODEX_HOMEAlternate Codex home. Defaults to ~/.codex.
CODEX_SEO_REPOGit URL, fork URL, or local repository path.
CODEX_SEO_REFBranch, tag, or commit. Defaults to v1.9.6-codex.5.
CODEX_SEO_SKIP_PLAYWRIGHT_BROWSER=1Skip Chromium install for visual/PDF workflows.
CODEX_SEO_PLAYWRIGHT_WITH_DEPS=1Ask Playwright to install system dependencies where supported.

Quick Start

Restart Codex after installation. Then ask naturally; a /seo command is not required:

Do a full SEO check on https://example.com following best practices.
Review this page for schema, Core Web Vitals, image SEO, and AI search readiness.
Create an SEO strategy and content roadmap for a local dental clinic.

Command-style prompts also work:

/seo audit https://example.com
/seo technical https://example.com
/seo schema https://example.com
/seo dataforseo serp "best seo tools"

Visual Overview

Codex SEO is designed as a Codex-first routing layer: the user can ask naturally, the orchestrator selects the right specialist workflow, and deterministic runners write repeatable artifacts instead of relying on invisible chat-only output.

%%{init: {"theme":"base","themeVariables":{"background":"#05080d","primaryColor":"#07131c","primaryTextColor":"#f5fbff","primaryBorderColor":"#00d7e6","lineColor":"#00d7e6","secondaryColor":"#06222a","tertiaryColor":"#ff9f1c","edgeLabelBackground":"#05080d","fontFamily":"Inter, ui-sans-serif, system-ui, sans-serif"}}}%%
flowchart LR
  user["User prompt<br/>natural language or /seo"] --> orchestrator["skills/seo/SKILL.md<br/>main orchestrator"]
  orchestrator --> cache[".seo-cache<br/>shared evidence"]
  orchestrator --> skills["26 specialist<br/>SEO workflows"]
  skills --> agents["24 TOML agents<br/>parallel analysis slices"]
  skills --> scripts["scripts/<br/>deterministic runners"]
  scripts --> output["output/<br/>Markdown, JSON, HTML, PDF"]
  cache --> skills
  class user,orchestrator accent
  class cache,scripts data
  class output output
  classDef default fill:#07131c,stroke:#00d7e6,color:#f5fbff,stroke-width:1.4px
  classDef accent fill:#10151a,stroke:#ff9f1c,color:#fff7ed,stroke-width:2px
  classDef data fill:#06222a,stroke:#21e6c1,color:#ecfeff,stroke-width:1.5px
  classDef output fill:#15101a,stroke:#ff9f1c,color:#fff7ed,stroke-width:1.8px

Commands

PromptPurpose
/seo audit <url>Full site audit with specialist routing and premium report support
/seo page <url>Deep single-page SEO analysis
/seo technical <url>Crawlability, indexability, security, JavaScript, CWV
/seo content <url>E-E-A-T, helpfulness, readability, AI citation readiness
/seo schema <url>Structured data detection, validation, and JSON-LD generation
/seo images <url>Alt text, image weight, formats, metadata, image SERP opportunities
/seo sitemap <url>XML sitemap discovery, quality gates, generation guidance
/seo geo <url>AI Overviews, ChatGPT, Perplexity, llms.txt, citability
/seo performance <url>Core Web Vitals, Lighthouse-oriented performance signals
/seo visual <url>Screenshots, mobile rendering, above-the-fold analysis
/seo plan <business-type>Strategic SEO roadmap and content plan
/seo programmatic <url>Programmatic SEO risk and scale planning
/seo competitor-pages <url>Comparison and alternatives page opportunities
/seo hreflang <url>International SEO, locale validation, content parity
/seo local <url>Local SEO, GBP signals, NAP, citations, reviews
/seo maps <command>Geo-grid, GBP audit, review intelligence, local maps signals
/seo google <command>GSC, PageSpeed, CrUX, Indexing API, GA4 workflows
/seo backlinks <url>Backlink profile summary and source-tier detection
/seo cluster <keyword>SERP-based topic clustering and hub-spoke planning
/seo sxo <url>Search Experience Optimization, intent/page-type fit
/seo drift baseline <url>Capture an SEO baseline before changes
/seo drift compare <url>Compare current SEO signals against a baseline
/seo ecommerce <url>Product SEO, marketplace visibility, product schema
/seo flow <stage>FLOW framework prompts for Find, Leverage, Optimize, Win
/seo dataforseo <command>Live SERP, keyword, backlink, content, and AI visibility data
/seo firecrawl <command>JS-rendered crawling and site mapping via Firecrawl
/seo image-gen <use-case>OG images, hero images, product visuals, infographics

Full command details live in docs/COMMANDS.md.

Features

Full Audit Pipeline

  • Detects site/business type.
  • Runs technical, content, schema, sitemap, performance, visual, GEO, image, and on-page analysis.
  • Adds conditional specialists for local, maps, Google APIs, backlinks, clusters, SXO, drift, and e-commerce.
  • Writes markdown reports, JSON summaries, cache artifacts, and optional premium HTML/PDF output.
%%{init: {"theme":"base","themeVariables":{"background":"#05080d","primaryColor":"#07131c","primaryTextColor":"#f5fbff","primaryBorderColor":"#00d7e6","lineColor":"#00d7e6","secondaryColor":"#06222a","tertiaryColor":"#ff9f1c","edgeLabelBackground":"#05080d","fontFamily":"Inter, ui-sans-serif, system-ui, sans-serif"}}}%%
flowchart TD
  request["Audit request"] --> detect["Detect site type<br/>business model and context"]
  detect --> core["Core audit specialists"]
  core --> technical["Technical"]
  core --> content["Content"]
  core --> schema["Schema"]
  core --> sitemap["Sitemap"]
  core --> geo["GEO / AI search"]
  core --> images["Images"]
  core --> performance["Performance"]
  core --> visual["Visual"]
  detect --> conditional["Conditional specialists"]
  conditional --> local["Local / Maps"]
  conditional --> backlinks["Backlinks"]
  conditional --> google["Google APIs"]
  conditional --> ecommerce["E-commerce"]
  conditional --> drift["Drift"]
  technical --> report["Unified SEO report"]
  content --> report
  schema --> report
  sitemap --> report
  geo --> report
  images --> report
  performance --> report
  visual --> report
  local --> report
  backlinks --> report
  google --> report
  ecommerce --> report
  drift --> report
  report --> artifacts["SUMMARY.json<br/>FULL-AUDIT-REPORT.md<br/>ACTION-PLAN.md<br/>optional HTML/PDF"]
  class request,detect accent
  class core,conditional data
  class report,artifacts output
  classDef default fill:#07131c,stroke:#00d7e6,color:#f5fbff,stroke-width:1.4px
  classDef accent fill:#10151a,stroke:#ff9f1c,color:#fff7ed,stroke-width:2px
  classDef data fill:#06222a,stroke:#21e6c1,color:#ecfeff,stroke-width:1.5px
  classDef output fill:#15101a,stroke:#ff9f1c,color:#fff7ed,stroke-width:1.8px

Technical SEO

  • Robots.txt, sitemap discovery, canonical checks, indexability, URL hygiene.
  • Security headers, JavaScript rendering risk, mobile basics, IndexNow.
  • Core Web Vitals with INP, LCP, CLS, FCP, TTFB, and PageSpeed/CrUX integrations where available.

Content, GEO, And SXO

  • E-E-A-T and helpful content signals.
  • AI citation readiness, answer-first formatting, entity clarity, llms.txt support.
  • Search experience analysis: page type, user stories, persona fit, intent mismatch.

Structured Data

  • JSON-LD extraction and validation.
  • Schema recommendations for Organization, LocalBusiness, Product, Article, FAQ, Breadcrumb, and related types.
  • Generated schema artifacts for downstream use.

Local, Maps, And E-Commerce SEO

  • Local SEO signals, GBP readiness, citations, reviews, NAP consistency.
  • Maps intelligence via free sources and DataForSEO when configured.
  • Product schema, marketplace endpoints, merchant visibility, and e-commerce template checks.

Drift Monitoring

  • Capture SEO-critical baselines.
  • Compare deployments or page changes.
  • Track title, meta, headings, canonical, schema, robots, links, and content deltas.
%%{init: {"theme":"base","themeVariables":{"background":"#05080d","primaryColor":"#07131c","primaryTextColor":"#f5fbff","primaryBorderColor":"#00d7e6","lineColor":"#00d7e6","actorBkg":"#07131c","actorBorder":"#00d7e6","actorTextColor":"#f5fbff","actorLineColor":"#21e6c1","signalColor":"#21e6c1","signalTextColor":"#f5fbff","labelBoxBkgColor":"#10151a","labelTextColor":"#f5fbff","noteBkgColor":"#10151a","noteTextColor":"#f5fbff","activationBkgColor":"#06222a","activationBorderColor":"#ff9f1c","fontFamily":"Inter, ui-sans-serif, system-ui, sans-serif"}}}%%
sequenceDiagram
  participant Before as Baseline
  participant Runner as Drift runner
  participant After as Current page
  participant Cache as .seo-cache
  participant Report as Drift report
  Before->>Runner: Capture titles, metas, canonicals, schema, headings
  Runner->>Cache: Store baseline snapshot
  After->>Runner: Re-check current SEO signals
  Cache->>Runner: Load prior snapshot
  Runner->>Report: Write changed, missing, and regressed signals

Deterministic Runners

  • scripts/run_skill_workflow.py standardizes output for every user-invokable workflow.
  • scripts/run_api_smoke_suite.py runs all supported workflows in one pass.
  • Setup-required workflows return structured fallback results instead of pretending live data exists.

Extensions

ExtensionSkillSetupNotes
DataForSEOseo-dataforseo, seo-maps, seo-ecommerce, seo-cluster./extensions/dataforseo/install.shLive SERP, keyword, backlinks, on-page, content, business data, AI visibility
Google APIsseo-google, seo-performancepython scripts/google_auth.py --setupPageSpeed, CrUX, GSC, URL Inspection, Indexing API, GA4
Firecrawlseo-firecrawl./extensions/firecrawl/install.shJS-rendered crawl, scrape, site map
Banana / Geminiseo-image-gen./extensions/banana/install.shAI image generation through nanobanana-mcp

Optional integrations enrich the same workflow surface. If credentials or MCP servers are missing, wrappers return setup_required or mcp_configured states with no fabricated live data.

%%{init: {"theme":"base","themeVariables":{"background":"#05080d","primaryColor":"#07131c","primaryTextColor":"#f5fbff","primaryBorderColor":"#00d7e6","lineColor":"#00d7e6","secondaryColor":"#06222a","tertiaryColor":"#ff9f1c","edgeLabelBackground":"#05080d","fontFamily":"Inter, ui-sans-serif, system-ui, sans-serif"}}}%%
flowchart LR
  codex["Codex SEO workflows"] --> local["Local evidence<br/>HTML, robots, sitemaps, screenshots"]
  codex --> dfs["DataForSEO MCP<br/>SERP, keywords, backlinks, maps"]
  codex --> google["Google APIs<br/>GSC, PageSpeed, CrUX, GA4"]
  codex --> firecrawl["Firecrawl MCP<br/>JS crawl and site maps"]
  codex --> banana["Gemini / nanobanana<br/>SEO image assets"]
  local --> artifacts["Reports and .seo-cache"]
  dfs --> artifacts
  google --> artifacts
  firecrawl --> artifacts
  banana --> artifacts
  class codex accent
  class local,dfs,google,firecrawl,banana data
  class artifacts output
  classDef default fill:#07131c,stroke:#00d7e6,color:#f5fbff,stroke-width:1.4px
  classDef accent fill:#10151a,stroke:#ff9f1c,color:#fff7ed,stroke-width:2px
  classDef data fill:#06222a,stroke:#21e6c1,color:#ecfeff,stroke-width:1.5px
  classDef output fill:#15101a,stroke:#ff9f1c,color:#fff7ed,stroke-width:1.8px

Demo readiness:

python scripts/demo_readiness.py --target https://example.com --live-apis --workflows --json

One low-depth DataForSEO proof:

python scripts/demo_readiness.py --target https://example.com --live-apis --live-serp --serp-keyword "seo tools" --json

Headless/API Usage

Run a single workflow:

python scripts/run_skill_workflow.py --skill seo-technical https://example.com --json
python scripts/run_skill_workflow.py --skill seo-google https://example.com --json
python scripts/run_skill_workflow.py --skill seo-dataforseo https://example.com --json

Run the full smoke suite:

python scripts/run_api_smoke_suite.py https://example.com --json

Verify environment:

python scripts/verify_environment.py --target https://example.com --json

Bootstrap a clean runtime:

python scripts/bootstrap_environment.py --venv .venv --json

Artifacts are written to output/. Shared project cache is written to .seo-cache/. Both are ignored by git.

%%{init: {"theme":"base","themeVariables":{"background":"#05080d","primaryColor":"#07131c","primaryTextColor":"#f5fbff","primaryBorderColor":"#00d7e6","lineColor":"#00d7e6","secondaryColor":"#06222a","tertiaryColor":"#ff9f1c","edgeLabelBackground":"#05080d","fontFamily":"Inter, ui-sans-serif, system-ui, sans-serif"}}}%%
flowchart LR
  cli["run_skill_workflow.py<br/>single workflow"] --> json["JSON result"]
  cli --> markdown["Markdown report"]
  cli --> cacheWrite[".seo-cache update"]
  suite["run_api_smoke_suite.py<br/>all workflows"] --> json
  suite --> outputRoot["output/api-smoke-*"]
  verify["verify_environment.py"] --> readiness["ready / setup_required<br/>capability status"]
  markdown --> outputRoot
  json --> outputRoot
  cacheWrite --> cache[".seo-cache"]
  class cli,suite,verify accent
  class cacheWrite,readiness data
  class json,markdown,outputRoot,cache output
  classDef default fill:#07131c,stroke:#00d7e6,color:#f5fbff,stroke-width:1.4px
  classDef accent fill:#10151a,stroke:#ff9f1c,color:#fff7ed,stroke-width:2px
  classDef data fill:#06222a,stroke:#21e6c1,color:#ecfeff,stroke-width:1.5px
  classDef output fill:#15101a,stroke:#ff9f1c,color:#fff7ed,stroke-width:1.8px

Architecture

The repository separates Codex-facing instructions, deterministic runtime code, optional provider setup, and validation contracts. That keeps the skill system usable in chat, installable as a suite, and testable from CI/API workflows.

%%{init: {"theme":"base","themeVariables":{"background":"#05080d","primaryColor":"#07131c","primaryTextColor":"#f5fbff","primaryBorderColor":"#00d7e6","lineColor":"#00d7e6","secondaryColor":"#06222a","tertiaryColor":"#ff9f1c","edgeLabelBackground":"#05080d","fontFamily":"Inter, ui-sans-serif, system-ui, sans-serif"}}}%%
flowchart TB
  manifest[".codex-plugin/plugin.json"] --> skillsRoot["skills/"]
  skillsRoot --> orchestrator["seo/SKILL.md<br/>routing and orchestration"]
  skillsRoot --> specialists["seo-*/SKILL.md<br/>specialist workflows"]
  agentsDir["agents/seo-*.toml"] --> specialists
  scriptsDir["scripts/<br/>deterministic runners"] --> specialists
  extensionsDir["extensions/<br/>optional MCP setup"] --> specialists
  references["skills/seo/references/<br/>thresholds and shared contracts"] --> specialists
  specialists --> cacheDir[".seo-cache/<br/>cross-skill memory"]
  specialists --> outputDir["output/<br/>reports and artifacts"]
  testsDir["tests/<br/>contract and smoke coverage"] --> manifest
  testsDir --> skillsRoot
  testsDir --> scriptsDir
  class manifest,orchestrator accent
  class skillsRoot,specialists,agentsDir,scriptsDir,extensionsDir,references,testsDir data
  class cacheDir,outputDir output
  classDef default fill:#07131c,stroke:#00d7e6,color:#f5fbff,stroke-width:1.4px
  classDef accent fill:#10151a,stroke:#ff9f1c,color:#fff7ed,stroke-width:2px
  classDef data fill:#06222a,stroke:#21e6c1,color:#ecfeff,stroke-width:1.5px
  classDef output fill:#15101a,stroke:#ff9f1c,color:#fff7ed,stroke-width:1.8px
codex-seo/
├── .codex-plugin/plugin.json        # Codex plugin manifest
├── skills/
│   ├── seo/SKILL.md                 # Main orchestrator
│   └── seo-*/SKILL.md               # 26 specialist workflows
├── agents/                          # 24 Codex TOML agent profiles
├── scripts/                         # Deterministic runners and API helpers
├── extensions/
│   ├── dataforseo/                  # DataForSEO MCP setup and docs
│   ├── firecrawl/                   # Firecrawl MCP setup and docs
│   └── banana/                      # Gemini/nanobanana image generation setup
├── hooks/                           # Quality-gate hooks
├── schema/                          # Schema.org templates
├── docs/                            # Architecture, commands, installation, MCP, demo
└── tests/                           # Contract and workflow tests

Design principles:

  • skills/ is the source of truth.
  • skills/seo/SKILL.md routes natural-language SEO requests.
  • TOML agents are Codex-native and mirror specialist workflows.
  • Runtime credentials stay in ~/.config/codex-seo/ or ~/.codex/settings.json.
  • Legacy claude-seo config/cache paths are read only as migration fallback.

More detail: docs/ARCHITECTURE.md.

Verification

Local release gate:

python -m pytest tests/
bash -n install.sh uninstall.sh
python -m compileall -q scripts hooks
python scripts/run_api_smoke_suite.py https://example.com --json

PowerShell parse check:

$files = Get-ChildItem -Recurse -Filter *.ps1
foreach ($f in $files) {
  $tokens = $null
  $errs = $null
  [System.Management.Automation.Language.Parser]::ParseFile($f.FullName, [ref]$tokens, [ref]$errs) > $null
  if ($errs.Count) { $errs; exit 1 }
}

Current GitHub CI runs:

  • dependency install
  • shell syntax checks
  • Python compile checks
  • --help checks for runner scripts
  • python -m pytest tests/
  • contract smoke checks for MCP-aware workflows

Requirements

  • Codex CLI with local skills support
  • Python 3.10+
  • Git
  • Optional: Playwright Chromium for screenshots and PDF reports
  • Optional: DataForSEO account for live SEO data
  • Optional: Google API credentials for PageSpeed/CrUX/GSC/GA4
  • Optional: Firecrawl API key for JS-rendered crawling
  • Optional: Google AI API key for Gemini/nanobanana image generation

Credentials And Cache

Codex SEO writes new local credentials and state to Codex-specific paths:

  • ~/.codex/settings.json for MCP server configuration
  • ~/.config/codex-seo/ for API configs and cost ledgers
  • ~/.cache/codex-seo/ for runtime caches
  • .seo-cache/ inside the active project for cross-skill summaries

Legacy ~/.config/claude-seo/ and ~/.cache/claude-seo/ paths are read only as migration fallback. Do not commit .seo-cache/, output/, .mcp.json, .env, OAuth tokens, service accounts, or provider keys.

Security

  • URL-aware scripts block private, loopback, reserved, multicast, unspecified, and metadata hosts.
  • Credential setup writes outside tracked repo files.
  • Sensitive local settings are expected to use 0600 file permissions.
  • DataForSEO calls use cost guardrails through scripts/dataforseo_costs.py.
  • Report vulnerabilities through SECURITY.md.

Uninstall

bash uninstall.sh

Windows:

powershell -ExecutionPolicy Bypass -File .\uninstall.ps1

Contributing

Use CONTRIBUTING.md for local setup and validation, CODE_OF_CONDUCT.md for project standards, SECURITY.md for vulnerability reporting, and CREDITS.md for project credits. Agent-facing project context is also available in llms.txt.

Related Projects

Credits

Special thanks to avalonreset for making the Codex conversion possible and for creating the initial Codex SEO version that this repository builds on.

Attribution

Original project and concept by AgriciDaniel in claude-seo. This Codex port preserves upstream SEO capabilities and adapts the runtime for Codex skills, TOML agents, plugin discovery, cache sharing, MCP extension setup, and API-safe wrappers.

Codex SEO is released under the MIT License. FLOW prompt references retain their upstream attribution and licensing notices where included.

内容与创作Agent / MCP / Skill 创作

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:2 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/AgriciDaniel/codex-seo.git
  3. 将 "skills/seo-image-gen" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/AgriciDaniel/codex-seo.git
  3. 将 "skills/seo-image-gen" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/AgriciDaniel/codex-seo.git
  3. 将 "skills/seo-image-gen" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/AgriciDaniel/codex-seo.git
  3. 将 "skills/seo-image-gen" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/AgriciDaniel/codex-seo.git
  3. 将 "skills/seo-image-gen" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: seo-image-gen
description: "AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\"."
argument-hint: "[og|hero|product|infographic|custom|batch] <description>"
user-invokable: true
license: MIT
compatibility: "Requires nanobanana MCP server"
metadata:
  author: AgriciDaniel
  version: "1.9.6"
  category: seo

SEO Image Gen: AI Image Generation for SEO Assets (Extension)

Shared Data Cache

Step 0 -- Check shared data cache:

Before gathering, check .seo-cache/ for reusable context from related SEO skills. Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.

Check these cache files when present:

  • .seo-cache/site-meta.json for domain, business type, industry, and crawl context

  • .seo-cache/audit-scores.json for prior full-audit priorities

  • .seo-cache/pages/{url-slug}/page-analysis.json for page-level context when a URL is provided

  • If found: parse and use clearly valid fields (note "Using cached [X] from [date]")

  • If missing, corrupt, or irrelevant: continue with fresh evidence

  • If the user says "refresh" or "re-run": ignore cache reads and overwrite on write

Generate production-ready images for SEO use cases using Gemini's image generation via the banana Creative Director pipeline. Maps SEO needs to optimized domain modes, aspect ratios, and resolution defaults.

Architecture Note

This extension is built on the Banana image-generation pipeline for SEO-specific image workflows in Codex.

This skill has two components with distinct roles:

  • SKILL.md (this file): Handles interactive /seo image-gen commands for generating images
  • Agent (agents/seo-image-gen.toml): Audit-only analyst spawned during /seo audit to assess existing OG/social images and produce a generation plan (never auto-generates)

Prerequisites

This skill requires the banana extension to be installed:

./extensions/banana/install.sh

Check availability: Before using any image generation tool, verify the MCP server is connected by checking if gemini_generate_image or set_aspect_ratio tools are available. If tools are not available, inform the user the extension is not installed and provide install instructions.

Quick Reference

CommandWhat it does
/seo image-gen og <description>Generate OG/social preview image (1200x630 feel)
/seo image-gen hero <description>Blog hero image (widescreen, dramatic)
/seo image-gen product <description>Product photography (clean, white BG)
/seo image-gen infographic <description>Infographic visual (vertical, data-heavy)
/seo image-gen custom <description>Custom image with full Creative Director pipeline
/seo image-gen batch <description> [N]Generate N variations (default: 3)

SEO Image Use Cases

Each use case maps to pre-configured banana parameters:

Use CaseAspect RatioResolutionDomain ModeNotes
OG/Social Preview16:91KProduct or UI/WebClean, professional, text-friendly
Blog Hero16:92KCinema or EditorialDramatic, atmospheric, editorial quality
Schema Image4:31KProductClean, descriptive, schema ImageObject
Social Square1:11KUI/WebPlatform-optimized square
Product Photo4:32KProductWhite background, studio lighting
Infographic2:34KInfographicData-heavy, vertical layout
Favicon/Icon1:1512LogoMinimal, scalable, recognizable
Pinterest Pin2:32KEditorialTall vertical card

Generation Pipeline

For every generation request:

  1. Identify use case from command or context (og, hero, product, etc.)
  2. Apply SEO defaults from the use cases table above
  3. Set aspect ratio via set_aspect_ratio MCP tool
  4. Construct Reasoning Brief using the banana Creative Director pipeline:
    • Load references/prompt-engineering.md for the 6-component system
    • Apply domain mode emphasis (Subject 30%, Style 25%, Context 15%, etc.)
    • Be SPECIFIC and VISCERAL: describe what the camera sees
  5. Generate via gemini_generate_image MCP tool
  6. Post-generation SEO checklist (see below)

Check for Presets

If the user mentions a brand or has SEO presets configured:

python3 scripts/presets.py list

Load matching preset and apply as defaults. Also check references/seo-image-presets.md for SEO-specific preset templates.

Post-Generation SEO Checklist

After every successful generation, guide the user on:

  1. Alt text:Write descriptive, keyword-rich alt text for the generated image
  2. File naming:Rename to SEO-friendly format: keyword-description-widthxheight.webp
  3. WebP conversion:Convert to WebP for optimal page speed:
    magick output.png -quality 85 output.webp
    
  4. File size:Target under 200KB for hero images, under 100KB for thumbnails
  5. Schema markup:Suggest ImageObject schema for the generated image:
    {
      "@type": "ImageObject",
      "url": "https://example.com/images/keyword-description.webp",
      "width": 1200,
      "height": 630,
      "caption": "Descriptive caption with target keyword"
    }
    
  6. OG meta tags:For social preview images, remind about:
    <meta property="og:image" content="https://example.com/images/og-image.webp" />
    <meta property="og:image:width" content="1200" />
    <meta property="og:image:height" content="630" />
    <meta property="og:image:alt" content="Descriptive alt text" />
    

Cost Awareness

Image generation costs money. Be transparent:

  • Show estimated cost before generating (especially for batch)
  • Log every generation: python3 scripts/cost_tracker.py log --model MODEL --resolution RES --prompt "brief"
  • Run cost_tracker.py summary if user asks about usage

Approximate costs (gemini-3.1-flash):

  • 512: ~$0.02/image
  • 1K resolution: ~$0.04/image
  • 2K resolution: ~$0.08/image
  • 4K resolution: ~$0.16/image

Model Routing

ScenarioModelWhy
OG images, social previewsgemini-3.1-flash-image-preview @ 1KFast, cost-effective
Hero images, product photosgemini-3.1-flash-image-preview @ 2KQuality + detail
Infographics with textgemini-3.1-flash-image-preview @ 2K, thinking: highBetter text rendering
Quick draftsgemini-2.5-flash-image @ 512Rapid iteration

Error Handling

ErrorResolution
MCP not configuredRun ./extensions/banana/install.sh
API key invalidNew key at https://aistudio.google.com/apikey
Rate limited (429)Wait 60s, retry. Free tier: ~10 RPM / ~500 RPD
IMAGE_SAFETYRephrase prompt - see references/prompt-engineering.md Safety section
MCP unavailableFall back: python3 scripts/generate.py --prompt "..." --aspect-ratio "16:9"
Extension not installedShow install instructions: ./extensions/banana/install.sh

Cross-Skill Integration

  • seo-images (analysis) feeds into seo-image-gen (generation): audit results from /seo images identify missing or low-quality images; use those findings to drive /seo image-gen commands
  • seo-audit spawns the seo-image-gen agent (not this skill) to analyze OG/social images across the site and produce a prioritized generation plan
  • seo-schema can consume generated images: after generation, suggest ImageObject schema markup pointing to the new assets

Reference Documentation

Load on-demand. Do NOT load all at startup:

  • references/prompt-engineering.md:6-component system, domain modes, templates
  • references/gemini-models.md:Model specs, rate limits, capabilities
  • references/mcp-tools.md:MCP tool parameters and responses
  • references/post-processing.md:ImageMagick/FFmpeg pipeline recipes
  • references/cost-tracking.md:Pricing, usage tracking
  • references/presets.md:Brand preset management
  • references/seo-image-presets.md:SEO-specific preset templates

Response Format

After generating, always provide:

  1. Image path:where it was saved
  2. Crafted prompt:show what was sent to the API (educational)
  3. Settings:model, aspect ratio, resolution
  4. SEO checklist:alt text suggestion, file naming, WebP conversion
  5. Schema snippet:ImageObject or og:image markup if applicable

Write to shared data cache

After completing all work, write a concise JSON summary to .seo-cache/ when the workflow produced durable findings. Use the schemas and naming rules in ../seo/references/shared-data-cache.md; include at least cache_type, analyzed_at, source URL/domain, key findings, issues, recommendations, and tool limitations. Add .seo-cache/ to .gitignore if it is missing.

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