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.

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Repository: Sheshiyer/skill-clusters
Letzte Quellaktivität: 5. Juni 2026 um 13:43
Erkannte Sprache von SKILL.md: Englisch
Sterne: 0
Forks: 1

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.

npx skills add https://github.com/Sheshiyer/skill-clusters --skill searchintentautomation

Der Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.

Sie bevorzugen eine lokale Kopie? Laden Sie die Dateien herunter, die SkillsMP derzeit vorliegen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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8 Dateien

SKILL.md

Quellanweisungen · Schreibgeschützte Vorschau

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arcplume

Arcplume runs Grok through the Grok Build CLI's own OAuth-authenticated session (grok login) for image generation, with strict preflight validation, secret-safe handling, and headless CLI-driven execution -- no separate XAI_API_KEY billing. Video falls back to the billed xAI API. USE WHEN a user wants to generate an image via a locally logged-in Grok Build CLI session, e.g. 'generate an image with grok', 'use grok build', or 'use my logged-in grok session'.

2026-07-07

selemene-core

Shared reference for the Selemene cluster: the two report surfaces (deterministic Rust reports vs. narrative witness-pipeline readings), the @selemene/bridge CLI contract, the output manifest format, and non-prescriptive witnessing tone. USE WHEN deciding which Selemene surface to invoke or when routing between birth/compatibility/transit reports and solo/dyadic readings.

2026-07-07

selemene-orchestrator

Route Selemene Engine tasks to the right surface: deterministic reports (birth/compatibility/transit) via selemene-core and the @selemene/bridge CLI, or narrative witness readings via selemene-report. USE WHEN the user wants anything under the Selemene/Noesis umbrella but has not named the exact surface.

2026-07-07

Alle aus diesem Repository ansehen

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

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

searchintentautomation

Installationsoptionen

Quelldateien prüfen

Customization