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PAIUpgrade

Generates prioritized upgrade recommendations for PAI based on audits, TELOS analysis, ecosystem signals, and algorithm reflections.

1|Updated Apr 16, 2026
Search Tags:#claude code#reflection mining#source discovery#pai upgrades#algorithm refactoring#mcp monitoring#hook workflows
One-click install
npx skills add https://github.com/davdunc/pai-framework --skill paiupgrade-davdunc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: PAIUpgrade
Source: https://github.com/davdunc/pai-framework/tree/main/skills/PAIUpgrade
Command: npx skills add https://github.com/davdunc/pai-framework --skill paiupgrade-davdunc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

PAI upgrades often require knowing what’s already implemented and what’s actually new, then translating that into concrete, actionable changes that fit your goals.

Core Features & Use Cases

  • Four-thread upgrade discovery: Runs a prior-work audit, reads your TELOS/project context, collects ecosystem updates from sources, and mines internal algorithm reflections.
  • Prior-status gated recommendations: Produces prioritized upgrade recommendations where every item is validated against existing files and prior decisions to avoid re-surfacing done or rejected ideas.
  • Technique-first upgrade reporting: Outputs discoveries and technique details with extracted code/steps and evidence-driven “CRITICAL/HIGH/MEDIUM/LOW” tiers for immediate implementation.

Quick Start

Ask for: run the PAIUpgrade skill to check for upgrades.

Frequently Asked Questions about PAIUpgrade

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

FAQPage Schema
How do I prioritize Claude Code upgrades from my existing project context?▼

PAIUpgrade generates prioritized upgrade recommendations by auditing what is already implemented and analyzing your active system state. It validates every item against existing files to avoid re-surfacing completed or rejected ideas.

What is reflection mining for algorithm refactoring workflows?▼

Reflection mining is the process of extracting internal algorithm reflections to discover upgrade opportunities. It works alongside ecosystem signal collection to generate evidence-driven recommendations for algorithm refactoring.

How do I check for MCP monitoring and hook workflow updates without repeating past decisions?▼

Use prior-status gated recommendations to validate discoveries against existing files and prior decisions. This ensures that MCP monitoring and hook workflow upgrades skip previously rejected or completed implementations.

Does PAIUpgrade require YAML frontmatter for source discovery workflows?▼

Yes, YAML frontmatter with name and description fields is required. The skill optionally loads user customizations before executing workflows listed in SKILL.md for source discovery and research tasks.

What's the best way to format algorithm spec upgrade reports for immediate implementation?▼

Use technique-first upgrade reporting to output discoveries with extracted code and evidence-driven priority tiers. Reports classify items as CRITICAL, HIGH, MEDIUM, or LOW for immediate implementation guidance.

Can I use PAIUpgrade to audit ecosystem updates across multiple components like hooks and skills?▼

Yes, the skill collects ecosystem updates from sources and audits prior work across Claude Code, MCP, hooks, skills, and algorithm specs. It runs a four-thread discovery process to cover all these components.

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