Serp Analysis

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XuanRanL

serp-analysis

Identifies SERP features for a keyword (featured_snippet / video / image_pack / shopping / AI_overview / PAA / knowledge_panel / site_links). Use to inform format selection and content planning. Triggered when user requests SERP analysis, asks "what's the SERP for X", or before format selection in /article pipeline.

Overview

Publisher	XuanRanL
Repository	`loamwright-SEO-Skill`
Skill name	`serp-analysis`
Stars	52
Forks	9
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by XuanRanL on GitHub. Read the source before you install it.

Installation

Install the Serp Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/XuanRanL/loamwright-SEO-Skill/tree/main/subskills/research/serp-analysis
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/XuanRanL/loamwright-SEO-Skill/tree/main/subskills/research/serp-analysis

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/XuanRanL/loamwright-SEO-Skill.git /tmp/loamwright-SEO-Skill
mkdir -p .claude/skills
cp -r /tmp/loamwright-SEO-Skill/subskills/research/serp-analysis .claude/skills/serp-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Serp Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Serp Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Serp Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SERP Analysis

Detects which SERP features are present for the primary keyword. Drives:

Format selection (if SERP has lots of video → news/listicle format; if AIO → optimize for AI citation)
Featured Snippet / AI Overview extraction targeting (owned by subskills/build/citation-capsule-builder/ since v3.35; sets outline is_featured_snippet_target)
AI Overview targeting (subskills/optimize/geo-content-optimizer/)

Inputs

state.brief.primary_keyword
target_market_locale (for geo-specific SERP)

Output

Updates workspace/{task_id}/research.json:

json
{
  "serp_features": ["featured_snippet", "video", "ai_overview", "paa_box"],
  "ai_overview_present": true,
  "ai_overview_cited_sources": ["https://example.com/...", ...]
}

⚠️ Populate serp_features[] with EVERY observed feature — mirror every true flag in _serp_features_detail (ai_overview, paa_box, featured_snippet, video, directory_results, reddit_top_results, paid_ads, local_pack, image_pack, shopping_results, site_links). The serp-analysis stage auto-completes only at >=3 entries; surfacing only a subset (e.g. 2 of 5 real features) needlessly stalls the runner and forces a re-dispatch (2026-06-29).

Workflow


1. python -m scripts.fetch.tavily_search "{primary_keyword}" --max 10 --include-answer
2. Parse Tavily response for signals:
   - Tavily "answer" field present + high quality → featured_snippet likely
   - URLs ending in /watch?v= or youtube.com → video pack
   - Image URLs in results → image_pack
   - Shopping links / "shop now" CTAs → shopping
   - "People also ask" header in snippets → paa_box
3. For AI Overview detection:
   - Tavily doesn't directly show AIO, but we can heuristic:
     - If query is informational + Tavily "answer" exists + matches top-3 content → AIO likely
     - Cross-reference with manual SERP check note (TODO M1.5: add SerpAPI integration)
4. For AIO source identification:
   - Look at Tavily top-3 by score → these are likely AIO sources
   - List them in ai_overview_cited_sources
5. Save to research.json

Cost

1× Tavily basic = 1 credit = $0.008

Handoff

recommended_next_skill: competitor-analysis (uses serp_features to weight competitor priority)

Frequently asked questions

What does the Serp Analysis AI skill do?

Why use Serp Analysis on TypingMind?

Because you install it once and use it with any model. Serp Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Serp Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/XuanRanL/loamwright-SEO-Skill/tree/main/subskills/research/serp-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Serp Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Serp Analysis?

As many as you like. As long as a model supports skills, you can use Serp Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Serp Analysis AI skill free?

Yes. It is published on GitHub by XuanRanL under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Serp Analysis

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

SERP Analysis

Inputs

Output

Workflow

Cost

Handoff

See also

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

SERP Analysis

Inputs

Output

Workflow

Cost

Handoff

See also

Frequently asked questions

Related AI Skills

Set up your own AI workspace now