// Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored)
Create irresistible offers and pitches using Alex Hormozi's methodology from $100M Offers. Guides through value equation, guarantee frameworks, pricing psychology, and creating offers "too good not to take" for any product or service.
Guide for creating new skills in Kai's personal AI infrastructure. Use when user wants to create, update, or structure a new skill that extends capabilities with specialized knowledge, workflows, or tool integrations. Follows both Anthropic skill standards and PAI-specific patterns.
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.
Expert guidance for ffuf web fuzzing during penetration testing, including authenticated fuzzing with raw requests, auto-calibration, and result analysis
Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScri
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
| name | always-init |
| description | Universal task initializer that automatically loads PAI context for all user requests. Ensures complete context availability (contacts, preferences, protocols) before responding to any task. (project, gitignored) |
⚠️ CRITICAL SYSTEM REQUIREMENT ⚠️
AUTOMATIC INVOCATION REQUIRED: This skill MUST be automatically invoked as the FIRST action for EVERY user request without exception.
Trigger Pattern: ALL user messages/requests
Priority Level: P0 (Highest - blocks all other operations)
Automation Rule: if (userRequest) → invoke("always-init") → then processRequest()
Universal context loader providing complete PAI (Personal AI Infrastructure):
Without ALWAYS-INIT context loading:
1. Receive user request
2. ⚡ IMMEDIATELY: Skill("always-init") ← THIS STEP
3. Wait for PAI context to load
4. THEN proceed with request processing
// Automatic prepend to request pipeline
function handleUserRequest(request) {
await invokeSkill("always-init"); // MANDATORY FIRST STEP
const paiContext = loadContext();
return processWithContext(request, paiContext);
}
This skill is working correctly when:
Execute: read ~/.claude/skills/PAI/SKILL.md
This provides the complete Personal AI Infrastructure context that all skills and responses depend on.
Once PAI context is loaded, proceed immediately with the user's actual request.
This skill implements a "context-first" architecture where PAI loads universally rather than being distributed across individual skills. It acts as a bootstrap loader that:
This eliminates the need for individual skills to manually load PAI context and ensures consistent, complete context availability across all operations.
💡 Implementation Note:
Ideally, this skill should be hardcoded into the request handler rather than relying on manual invocation. The skill system should automatically prepend this to every request pipeline.
Alternative Approach: Add to system prompt: "Before responding to ANY user request, you MUST first invoke the always-init skill to load PAI context."