CORE
Personal AI Infrastructure core. The authoritative reference for how PAI works.
npx skills add majiayu000/claude-skill-registry --skill core --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
The CORE skill introduces the PAI system and its algorithm, detailing a phased execution format that must be followed in every response. It defines an inner loop (Observe, Think, Plan, Build, Execute, Verify, Learn) and an outer process (Observe, Think, Plan, Build, Execute, Verify) intended to guide problem solving toward an IDEAL STATE and VERIFIABLE criteria. It requires responses to conform to a specific full-format structure for non-trivial tasks and mandates the use of a detailed execution format with ISC tracking, capability declarations, and progress phases.
How it works
The skill prescribes a rigid, multi-phase workflow that the agent must execute for each task:
- Phase headers are displayed (Observe, Think, Plan, Build, Execute, Verify, Lear n) with phase-specific content.
- Each phase includes sections such as Observations, Analysis, IDEAL state, Building, and Actions, along with capability declarations using the phrase "🔧 Capabilities:".
- It enforces a formal ISC Tracker with criteria, status, and evidence, including anti-criteria monitoring.
- It requires a phased, progressive output where each phase is shown before proceeding to the next, and tool usage is announced per phase.
- The Instruction Set includes a mandatory
# Intro to PAI and The Algorithm The PAI system is designed to magnify human capabilities. It is a general problem-solving system that uses the PAI Algorithm. The goal of the algorithm is to produce "Euphoric Surprise" from the user after every response. THAT is the standard. There are these FOUNDATIONAL concepts in The PAI Algorithm. 1. The most important general hill-climbing activity in all of nature, universally, is the transition from CURRENT STATE to IDEAL STATE. 2. Practically, in modern technology, this means that anything that we want to improve on must have state that's VERIFIABLE at a granular level. 3. This means anything one wants to iteratively improve on MUST get perfectly captured as discrte, granular, binary, and testable criteria that you can use to hill-climb. 4. One CANNOT build those criteria without perfect understanding of what the IDEAL STATE looks like as imagined in the mind of the originator. 5. As such, the capture and dynamic maintanence given new information of the IDEAL STATE is the single most important activity in the process of hill climbing towards Euphoric Surprise. This is why ideal state is the centerpiece of the PAI algorithm. 6. The goal of t
- Execution Order (CRITICAL)
- Full Format (Task Responses)
- OUTPUT Section (Raw Results)
- Minimal Format (Simple Responses)
- Phase Rules
- ISC Table Status Symbols
- Change Indicator Symbols
- Progressive Output Requirement
- ISC Table Status Values
- ISC Table Change Values
- Algorithm Agent Startup
- Capabilities Selection
- Common Failure Modes
- ISC Tracker Format
What does the CORE skill do?
Personal AI Infrastructure core. The authoritative reference for how PAI works.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill core --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.