Personal AI Infrastructure (PAI) - Complete personal AI platform with skills, agents, research capabilities, and automation workflows
Capture comprehensive problem-solving narratives from our work sessions, documenting not just the solution but the entire journey of discovery.
Comprehensive multi-source research - Kai loads and invokes researcher commands
**YOU (Kai) are reading this because a pitch/offer creation request was detected.**
**YOU MUST IMMEDIATELY EXECUTE THE FOLLOWING READ COMMAND:**
```bash
Use this agent when you need professional software architecture expertise, comprehensive PRD document creation, technical specification writing, system design, and feature breakdown with detailed implementation checklists. Specialized in creating thorough Product Requirements Documents that can be distributed to multiple development agents.
Use this agent for web research using Claude's built-in WebSearch capabilities with intelligent multi-query decomposition and parallel search execution.
Use this agent when you need professional product design expertise, UX/UI design, design systems, prototyping, user research, visual design, interaction design, and design strategy. Specialized in creating user-centered, accessible, and scalable design solutions using modern tools and frameworks like Figma and shadcn/ui.
Use this agent when you need professional software engineering expertise, high-quality code implementation, debugging and troubleshooting, performance optimization, security implementation, testing, and technical problem-solving. Specialized in implementing technical solutions from PRDs with best practices and production-ready code.
Use this agent to orchestrate comprehensive multi-perspective research using Google's Gemini model. Breaks down complex queries into 3-10 variations and launches parallel Gemini research agents for deep investigation.
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 protected] - [Secondary Contact] [Relationship]: [email protected] - [Third Contact] [Relationship]: [email protected] Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, Python, Rust] - Package managers: [e.g., bun for JS/TS, uv for Python] - Analysis vs Action: If asked to analyze, do analysis only - don't change things unless explicitly asked - Scratchpad: Use ~/.claude/scratchpad/ with timestamps for test/random tasks === CRITICAL SECURITY (Always Active) === - NEVER COMMIT FROM WRONG DIRECTORY - Run `git remote -v` BEFORE every commit - `~/.claude/` CONTAINS EXTREMELY SENSITIVE PRIVATE DATA - NEVER commit to public repos - CHECK THREE TIMES before git add/commit from any directory - [ADD YOUR SPECIFIC WARNINGS - e.g., iCloud directory, company repos, etc.] === RESPONSE FORMAT (Always Use) === Use this structured format for every response: 📋 SUMMARY: Brief overview of request and accomplishment 🔍 ANALYSIS: Key findings and context ⚡ ACTIONS: Steps taken with tools used ✅ RESULTS: Outcomes and changes made - SHOW ACTUAL OUTPUT CONTENT 📊 STATUS: Current state after completion ➡️ NEXT: Recommended follow-up actions 🎯 COMPLETED: [Task description in 12 words - NOT "Completed X"] 🗣️ CUSTOM COMPLETED: [Voice-optimized response under 8 words] === PAI/KAI SYSTEM ARCHITECTURE === This description provides: core identity + essential contacts + stack preferences + critical security + response format (always in system prompt). Full context loaded from SKILL.md for comprehensive tasks, including: - Complete contact list and social media accounts - Voice IDs for agent routing (if using ElevenLabs) - Extended security procedures and infrastructure caution - Detailed scratchpad instructions === CONTEXT LOADING STRATEGY === - Tier 1 (Always On): This description in system prompt (~1500-2000 tokens) - essentials immediately available - Tier 2 (On Demand): Read SKILL.md for full context - comprehensive details === WHEN TO LOAD FULL CONTEXT === Load SKILL.md for: Complex multi-faceted tasks, need complete contact list, voice routing for agents, extended security procedures, or explicit comprehensive PAI context requests. === DATE AWARENESS === Always use today's actual date from the date command (YEAR MONTH DAY HOURS MINUTES SECONDS PST), not training data cutoff date.
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 protected] - [Secondary Contact] [Relationship]: [email protected] - [Third Contact] [Relationship]: [email protected] Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, Python, Rust] - Package managers: [e.g., bun for JS/TS, uv for Python] - Analysis vs Action: If asked to analyze, do analysis only - don't change things unless explicitly asked - Scratchpad: Use ~/.claude/scratchpad/ with timestamps for test/random tasks === CRITICAL SECURITY (Always Active) === - NEVER COMMIT FROM WRONG DIRECTORY - Run `git remote -v` BEFORE every commit - `~/.claude/` CONTAINS EXTREMELY SENSITIVE PRIVATE DATA - NEVER commit to public repos - CHECK THREE TIMES before git add/commit from any directory - [ADD YOUR SPECIFIC WARNINGS - e.g., iCloud directory, company repos, etc.] === RESPONSE FORMAT (Always Use) === Use this structured format for every response: 📋 SUMMARY: Brief overview of request and accomplishment 🔍 ANALYSIS: Key findings and context ⚡ ACTIONS: Steps taken with tools used ✅ RESULTS: Outcomes and changes made - SHOW ACTUAL OUTPUT CONTENT 📊 STATUS: Current state after completion ➡️ NEXT: Recommended follow-up actions 🎯 COMPLETED: [Task description in 12 words - NOT "Completed X"] 🗣️ CUSTOM COMPLETED: [Voice-optimized response under 8 words] === PAI/KAI SYSTEM ARCHITECTURE === This description provides: core identity + essential contacts + stack preferences + critical security + response format (always in system prompt). Full context loaded from SKILL.md for comprehensive tasks, including: - Complete contact list and social media accounts - Voice IDs for agent routing (if using ElevenLabs) - Extended security procedures and infrastructure caution - Detailed scratchpad instructions === CONTEXT LOADING STRATEGY === - Tier 1 (Always On): This description in system prompt (~1500-2000 tokens) - essentials immediately available - Tier 2 (On Demand): Read SKILL.md for full context - comprehensive details === WHEN TO LOAD FULL CONTEXT === Load SKILL.md for: Complex multi-faceted tasks, need complete contact list, voice routing for agents, extended security procedures, or explicit comprehensive PAI context requests. === DATE AWARENESS === Always use today's actual date from the date command (YEAR MONTH DAY HOURS MINUTES SECONDS PST), not training data cutoff date.
Real-time observability dashboard for multi-agent Claude Code sessions. Visualize agent interactions, tool usage, and session flows in real-time through a web dashboard. Track multiple agents running in parallel with swim lane visualization, event filtering, and live charts. **Key Features:** - 🔴 Real-time event streaming via WebSocket - 📊 Agent swim lanes showing parallel execution - 🔍 Event filtering by agent, session, event type - 📈 Live charts for tool usage patterns - 💾 Filesystem-based (no database required) **Inspired by [@indydevdan](https://github.com/indydevdan)**'s work on multi-agent observability. **Our approach:** Filesystem + in-memory streaming vs. indydevdan's SQLite database approach.
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.
Use for getting information on web servers or site stack information, like what tech stack a given website is running, and other similar use cases.
Figuring out any of my (Daniel Miessler's) opinions or blog posts or writing online. This is basically an archive of all my content.
My personal API for everything in my (Daniel Miessler's) life.
My personal AI infrastructure (PAI), which is where you should look for any tool where I ask you to do a task that you're not sure how to do. Start by checking here to see if there's a tool for it.
This is a port scanner for finding open ports or services on hosts.
Matches all tools
Hooks run on every tool call, not just specific ones
External network access
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Connects to servers outside your machine
Connects to servers outside your machine
Requires secrets
Needs API keys or credentials to function
Requires secrets
Needs API keys or credentials to function
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Complete working plugin marketplace with comprehensive research and documentation
This repository serves dual purposes:
Everything you need to use, create, distribute, and manage Claude Code plugins.
Created: 2025-10-11 Sources: Official Anthropic documentation and https://github.com/anthropics/claude-code
# If using locally
/plugin marketplace add /home/rcalleja/projects/claude-market-place
# If hosted on GitHub (after publishing)
/plugin marketplace add your-username/claude-market-place
# Interactive menu
/plugin
# Or install directly
/plugin install productivity-commands@example-marketplace
/plugin install code-analysis-agents@example-marketplace
/plugin install auto-formatter@example-marketplace
/plugin install fabric-helper@example-marketplace
Slash commands for common development workflows
/quick-test - Auto-detect and run project tests/analyze-deps - Check dependencies for vulnerabilities/project-stats - Generate comprehensive project statisticsSpecialized agents for code review and optimization
security-auditor - Security vulnerability assessmentperformance-optimizer - Performance bottleneck identificationarchitecture-reviewer - Architecture and design reviewAutomatic code formatting after file edits
Fabric AI system integration with pattern suggestion and execution
/suggest - Intelligent pattern recommendation based on semantic analysis/exec - Execute specific Fabric patterns with high-quality analysis/orchestrate - Chain multiple patterns into automated workflowsThis repository provides five essential documents:
~50 pages of detailed specifications
Use this when: You need detailed technical specifications or want to understand every aspect of the plugin system.
Everything you need on one page
Use this when: You want to quickly look up syntax, commands, or create something fast.
Guided walkthrough from zero to production marketplace
Use this when: You're creating your first marketplace or want a structured learning path.
npx claudepluginhub rafaelcalleja/claude-market-place --plugin personal-ai-infrastructureInteractive skill for creating, editing, listing, and managing Claude Code rules in .claude/rules/ with guided elicitation, glob pattern support, and YAML frontmatter validation
OpenAI Codex CLI integration skill for code analysis, refactoring, and automated editing with gpt-5.1 models
Extract reusable skills from Claude Code conversations using Fabric AI patterns. Transforms conversation history into well-structured SKILL.md files.
Interactive guide for building GitLab CI/CD pipelines with to-be-continuous templates (conversational, step-by-step, real examples) and creating compatible components
Custom UserPromptSubmit hook that adds AskUserQuestion reminder to all prompts
Multi-agent orchestrator for Claude Code. Track work with convoys, sling to polecats. The Cognition Engine for AI-powered software factories.
Comprehensive development infrastructure for Claude Code projects. Includes 12 AI skills, task coordination hooks, project templates, and a visual dev-manager dashboard.
Complete collection of 30 Claude Code skills for document processing, development, business productivity, and creative tasks
Install and configure Daniel Miessler's Personal AI Infrastructure (PAI) with guided identity customization, symlinked user data, and upgrade support
Unified capability management center for Skills, Agents, and Commands.
Use this agent for optimizing human-agent collaboration workflows and analyzing workflow efficiency. This agent specializes in identifying bottlenecks, streamlining processes, and ensuring smooth handoffs between human creativity and AI assistance. Examples:\n\n<example>\nContext: Improving development workflow efficiency