participant-profile-load

Load participant profiles from Markdown and normalize them into structured context.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/cless75/2026-03-Leadership-AI --skill participant-profile-load
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: participant-profile-load
Source: https://github.com/cless75/2026-03-Leadership-AI/tree/main/.cursor/skills/participant-profile-load
Command: npx skills add https://github.com/cless75/2026-03-Leadership-AI --skill participant-profile-load

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill loads a participant profile from a Markdown file and normalizes it into a concise, AI-ready context summary for session prompts, including role, AI experience, goals, and boundaries. It is used when you need to quickly import participant context to guide AI interactions in coursework or coaching sessions.

Core Features & Use Cases

  • Load and parse a provided my-profile.md file or pasted profile content.
  • Normalize into a structured block with sections: Role & Context, AI Experience, Goals (linked to goals if present), and Boundaries (bullets).
  • Detect contradictions or missing sections and prompt with a single clarifying question.

Quick Start

Provide the path to a filled my-profile.md or paste the profile content to generate a normalized participant context block.

Frequently Asked Questions about participant-profile-load

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I load a participant profile from Markdown into an AI session context?

To load a participant profile, provide the file path to a my-profile.md file or paste the profile content directly. The skill parses the Markdown and normalizes it into a concise, AI-ready context block for session prompts.

What is the best way to normalize a Markdown profile for AI interactions?

Normalizing a Markdown profile involves parsing the content and structuring it into sections like Role & Context, AI Experience, Goals, and Boundaries. This creates a concise context block ready to guide AI in coursework or coaching sessions.

Does the profile loader work if my Markdown file has missing or contradictory sections?

Yes, the profile loader detects missing or contradictory sections in the Markdown file. When this occurs, it poses a single clarifying question to resolve the ambiguity before generating the final AI-ready context.

Can I use pasted text instead of a file path to import participant context?

Yes, you can use pasted text instead of a file path to import participant context. The loader accepts pasted profile content directly and normalizes it into the structured block just as it would with a file path.

What structured sections are generated when normalizing a participant profile?

Normalizing a participant profile generates a structured block containing four specific sections: Role & Context, AI Experience, Goals (linked to goals if present), and Boundaries (formatted as bullets).

Why does the AI context loader ask a clarifying question during profile normalization?

The AI context loader asks a clarifying question during profile normalization to resolve missing or contradictory information in the Markdown file. This ensures the resulting context block accurately reflects the participant's role, experience, and boundaries.