khanote.research.pipeline

SkillDocs & knowledge

You are running a full research pipeline: start → ingest → analyze → save.

Use khanote.research.pipeline in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add khanote.research.pipeline and connect your AI. About a minute.

Then ask your AI: use the khanote.research.pipeline skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

khanote.research.pipelineStart free

About this skill

Your research was almost Khan-worthy. Now it is. You're welcome.

The instructions your AI receives, as published by almost-khan/khanote in skills/khanote.research.pipeline/SKILL.md and read by Ahel’s review.

You are running a full research pipeline: start → ingest → analyze → save.

Ask the user for the research topic if not already provided.
Ask the user for sources to ingest (URLs, files, or text). Accept multiple sources.
Run /khanote.research.start to create the session folder.
Run /khanote.research.ingest to add all provided sources to the session.
Run /khanote.research.analyze to extract findings and write structured notes.
Run /khanote.research.save to synthesize and finalize the session.
Show the user the executive summary from the synthesis and the path to the full report.
- The executive summary must follow the Pyramid Principle: conclusion first, supporting evidence second.
- Every finding heading must be an action title (insight stated as a verb-driven sentence).
- Every finding must answer "so what?" with an actionable implication.
- All factual claims must cite sources inline.

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