skills.rest
davdunc
davduncCOMMUNITY
Explore all skills by this author →
Website𝕏@davduncGitHub

PAI

Orchestrate Claude Code through a 7-phase loop with verifiable Ideal State Criteria.

1|Updated Apr 16, 2026
Search Tags:#ai orchestration#skill routing#memory persistence#ideal state criteria#verifiable workflows#algorithm phases#test-driven verification
One-click install
npx skills add https://github.com/davdunc/pai-framework --skill pai-davdunc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: PAI
Source: https://github.com/davdunc/pai-framework/tree/main/PAI
Command: npx skills add https://github.com/davdunc/pai-framework --skill pai-davdunc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns Claude Code into a persistent, skill-based assistant that executes work through a structured 7-phase algorithm with verifiable Ideal State Criteria (ISC).

Core Features & Use Cases

  • Verifiable problem-solving loop: Observe → Think → Plan → Build → Execute → Verify → Learn until ISC pass.
  • Skill-first capability routing: Activates modular skills for specialized domains and tools.
  • PRD + memory persistence: Writes criteria and decisions to PRDs, then captures learning after completion.
  • Deterministic verification bias: Uses tests, static checks, and CLI probes to prevent rubber-stamping.

Quick Start

Ask for a concrete deliverable and its constraints (e.g., build an authentication PRD and verify it), then let the PAI Algorithm handle the 7 phases automatically.

Frequently Asked Questions about PAI

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

FAQPage Schema
What is skill routing in AI orchestration and how does it work?▼

Skill routing orchestrates modular capabilities by activating specialized domains dynamically. It applies a 7-phase algorithm—Observe, Think, Plan, Build, Execute, Verify, Learn—converting current states into ideal states using persistent PRD tracking.

Can I use algorithm phases with test-driven verification for research and design tasks?▼

Memory persistence is maintained by writing criteria and decisions to Product Requirement Documents (PRDs). The system captures learning after completion, ensuring strict adherence to mandated response formats across all algorithm phases.

Can I use algorithm phases with test-driven verification for research and design tasks?▼

Memory persistence is maintained by writing criteria and decisions to Product Requirement Documents (PRDs). The system captures learning after completion, ensuring strict adherence to mandated response formats across all algorithm phases.

What are the limitations of deterministic verification bias in AI orchestration?▼

Algorithm phases with test-driven verification apply to problem-solving, implementation, design, and research. The system supports both interactive and loop execution modes with time and budget scaling for iterative work.

Related Skills

Explore More Software Engineering Skills→
jmaglyjmagly
175

gate-evaluation

Validate phase-gate criteria and generate pass/fail gate reports.

Community
Advanced
maneeshanifmaneeshanif

database-skill

Configure TinyDB for persistent JSON document storage with CRUD and queries.

Community
Advanced
getspurgetspur
2

brain-delegation-kiro

Coordinate task decomposition and tool-based delegation to specialized coding agents.

Official
Advanced
adiytharpansaadiytharpansa

reasoning-enhancer

Apply structured reasoning frameworks to decompose and validate complex problems.

Community
Advanced