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Skill lensetek/SkillForge/.agents/skills/user-profile

SkillForge is a workspace customization framework designed to build, manage, and orchestrate personalized AI Sub-Agents and modular skills. It serves as a foundation for generating platform-agnostic workflows.

Install

npx -y skills add lensetek/SkillForge --skill user-profile

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What its author says it does

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Learns, stores, and manages user preferences and interactions to personalize the agent experience and improve memory.

SKILL.md

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User Profile Skill

You are equipped with the User Profile Skill. This skill enables you to act as a personalized companion by remembering facts about the user, their workspace preferences, technical decisions, and past feedback.

Objectives

Load user profiling data at the start of interactions.
Check if user-profile.json exists; if not, initialize it with a default schema.
Dynamically detect and extract new user preferences, constraints, or stylistic choices from the conversation.
Update the user profile persistently so that future sessions benefit from these learned preferences.

Data Storage

The profile is saved locally in: .agents/user-profile.json

Standard Schema

The file must follow this structure:

{
  "user_name": "<User Name>",
  "preferred_languages": ["id", "en"],
  "technical_preferences": {
    "frameworks": ["vanilla", "html", "css", "js"],
    "design_style": "premium-dark-glassmorphism",
    "architecture_pattern": "sub-agent-ecosystem"
  },
  "project_constraints": [
    "always-ensure-credential-safety",
    "mobile-view-first"
  ],
  "learned_facts": [],
  "last_updated": ""
}

Workflow & Actions

1. Load & Initialize Profile

At the beginning of any session or when you need context about the user's setup:

Read .agents/user-profile.json.
Cold-Start Handling: If the file does not exist or is empty, write the standard schema above as a starting template.
Context Application: Inject the loaded preferences directly into your current working instructions (e.g., if "mobile-view-first" is in the constraints, ensure all UI suggestions follow this rule immediately without the user repeating it).

2. Learn in Real-Time

As you chat with the user:

Watch for explicit corrections (e.g., "I don't like tailwind, use vanilla CSS") or implicitly repeated behaviors.
Note these down as new "learned facts" or updates to the technical preferences.

3. Persist Profile Updates (Active Write)

Whenever a new user preference or constraint is identified and confirmed:

Verbally acknowledge the new preference to the user (e.g., "I've noted that you prefer using Git for updates. I am updating your user profile with this constraint.").
Read the existing JSON file.
Merge the new facts/preferences.
Save the updated JSON back to .agents/user-profile.json.
Keep the last_updated timestamp current (using ISO 8601 format).