Persona Distiller

    2

    Extract structured, evidence-backed AI persona profiles from historical chat logs, emails, and documents.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    persona-distiller

    Example session with this skill installed

    Analyze these Spanish architectural reviews and Slack threads to distill a technical persona profile. Focus on decision-making patterns and communication style.

    • Read your context and instructions
    • Compiled the persona-distiller

    CORE ROLE: Technical Architect
    DECISION POSTURE: Prefers 'boring' tech; prioritizes maintainability over speed.
    STYLE: Terse, bulleted lists, technical metaphors.
    EVIDENCE: "No point in a rewrite if the debt stays." (Spanish original: "No tiene sentido reescribir si la deuda sigue.")

    Connects securely to your tools. The creator never sees your data.

    About this skill

    What it does

    The Persona Distiller transforms raw historical data—email threads, chat logs, and documents—into structured, evidence-backed AI persona specifications. It moves beyond simple "mimicry" by systematically separating stable traits from temporary context, ensuring you capture the authentic essence of a subject's decision-making and communication style without including noise or private data.

    Why use this skill

    Prompting an AI to "write like this person" often results in generic, superficial imitations or "AI sludge." This skill provides a rigorous analytical framework that identifies repeated patterns in reasoning, communication posture, and boundary-setting. It is ideal for developers building digital twins, specialized customer support agents, or automated executive assistants that need to maintain a consistent professional voice.

    What the output looks like

    The result is a high-density English persona profile (regardless of the source language) containing specific sections for Decision Posture, Reasoning Style, and Interaction Patterns. Crucially, it includes a "Confidence" score and "Open Gaps" section, so you know exactly where the data was insufficient to make a strong inference.

    Supported Evidence

    • Multi-turn conversation archives (Slack, Discord, WhatsApp)
    • Professional email corpora and internal memos
    • Authored articles, whitepapers, and technical documentation

    • Requires high-volume corpora for high-confidence scores.
    • Risk of over-indexing on recent or outlier documents.
    • Cannot infer private context not present in the provided text.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed6 months ago

    What's inside

    Frequently Asked Questions

    Traditional prompting often creates a superficial caricature; Persona Distiller uses a structured analytical framework to isolate deep reasoning patterns and decision-making logic from raw data, providing a much higher degree of authenticity.

    The skill outputs a structured, high-density English profile that is platform-agnostic, making it compatible with any major LLM or agent framework that accepts system instructions or persona definitions.

    The distiller can process individual text files or bulk archives including Slack/Discord exports, email threads, and authored documents, provided they are in a text-based format (.txt, .md, .csv, or .json).

    The Persona Distiller features a 'Noise Filtering' layer designed to strip out transient context and specific private entities while focusing on the underlying communication patterns and professional posture.

    You receive the full logic for the Persona Distiller skill, a detailed execution guide, and a template for the finalized 'Evidence-Backed Persona' output to ensure consistent results across different subjects.

    Absolutely; the skill provides an 'Open Gaps' report highlighting areas where source data was insufficient, allowing you to manually refine or add more data to strengthen those specific persona traits.

    New in Agents & Orchestration