How do I install the Searchintentautomation skill?

Run npx skillmds@latest add sheshiyer/searchintentautomation in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Searchintentautomation safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Searchintentautomation?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Searchintentautomation free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Searchintentautomation?

Sheshiyer (@sheshiyer) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Searchintentautomation by sheshiyer

Name: Searchintentautomation
Author: Sheshiyer

Searchintentautomation

Use when turning a niche, offer, product, or topic into a keyword map, audience question map, and an agent-executable workflow using Ubersuggest, AnswerThePublic, Playwright MCP browser capture, and Python orchestration. Also use when extracting repeatable market-research workflows from reels, demos, or creator tool stacks and rewriting them into non-interactive CLI-agent pipelines.

Sheshiyer Updated Sep 17, 2026

File contents

Customization

Before executing, check for user customizations at: ~/.Codex/skills/PAI/USER/SKILLCUSTOMIZATIONS/SearchIntentAutomation/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

SearchIntentAutomation

Turn a seed topic into an actionable research and automation workflow.

Workflow Routing

Trigger	Workflow
Extract a reusable workflow from a reel or creator demo	`Workflows/ExtractFromSource.md`
Build a keyword, question, and automation stack for a topic or offer	`Workflows/BuildOpportunityMap.md`
Run the workflow end-to-end with CLI coding agents	`Workflows/RunWithCliAgents.md`

Quick Reference

Step 1: Use Ubersuggest to map demand, keyword variants, SEO opportunities, and competitor gaps.
Step 2: Use AnswerThePublic to map real audience questions, comparisons, and prepositions around the same seed term.
Step 3: Use Playwright MCP to capture browser-only research data and a Python CLI pipeline to normalize, merge, and route outputs.
Step 3a: Hand off browser results with the capture manifest contract in Tools/CaptureStatusContract.md.
Step 4: Optional AI layer: generate content briefs or landing-page drafts from the validated keywords/questions.
If the pipeline gets stuck, stop and present a taxonomy-based checkpoint with:
- Recommended option 1
- Recommended option 2
- Custom user direction

Loaded Context

Reel evidence and extraction trace: ReelEvidence.md
Core workflow details: Workflows/BuildOpportunityMap.md
Non-interactive agent execution: Workflows/RunWithCliAgents.md
Failure and checkpoint taxonomy: FailureTaxonomy.md
Playwright-to-Python handoff contract: Tools/CaptureStatusContract.md

---name: searchintentautomationdescription: Use when turning a niche, offer, product, or topic into a keyword map, audience question map, and an agent-executable workflow using Ubersuggest, AnswerThePublic, Playwright MCP browser capture, and Python orchestration. Also use when extracting repeatable market-research workflows from reels, demos, or creator tool stacks and rewriting them into non-interactive CLI-agent pipelines.---## Customization**Before executing, check for user customizations at:**`~/.Codex/skills/PAI/USER/SKILLCUSTOMIZATIONS/SearchIntentAutomation/`If this directory exists, load and apply any `PREFERENCES.md`, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.# SearchIntentAutomationTurn a seed topic into an actionable research and automation workflow.## Workflow Routing| Trigger | Workflow ||---------|----------|| Extract a reusable workflow from a reel or creator demo | `Workflows/ExtractFromSource.md` || Build a keyword, question, and automation stack for a topic or offer | `Workflows/BuildOpportunityMap.md` || Run the workflow end-to-end with CLI coding agents | `Workflows/RunWithCliAgents.md` |## Quick Reference- Step 1: Use `Ubersuggest` to map demand, keyword variants, SEO opportunities, and competitor gaps.- Step 2: Use `AnswerThePublic` to map real audience questions, comparisons, and prepositions around the same seed term.- Step 3: Use `Playwright MCP` to capture browser-only research data and a Python CLI pipeline to normalize, merge, and route outputs.- Step 3a: Hand off browser results with the capture manifest contract in `Tools/CaptureStatusContract.md`.- Step 4: Optional AI layer: generate content briefs or landing-page drafts from the validated keywords/questions.- If the pipeline gets stuck, stop and present a taxonomy-based checkpoint with: - Recommended option 1 - Recommended option 2 - Custom user direction## Loaded Context- Reel evidence and extraction trace: `ReelEvidence.md`- Core workflow details: `Workflows/BuildOpportunityMap.md`- Non-interactive agent execution: `Workflows/RunWithCliAgents.md`- Failure and checkpoint taxonomy: `FailureTaxonomy.md`- Playwright-to-Python handoff contract: `Tools/CaptureStatusContract.md`

Frequently asked questions