fpf-methodology
First Principles Framework (FPF) for structured, auditable reasoning.
npx skills add majiayu000/claude-skill-registry --skill fpf-methodology --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.
# First Principles Framework (FPF) Structured reasoning for AI coding tools — make better decisions, remember why you made them. ## When to Use This Skill **Activate FPF for:** - Architectural decisions with long-term consequences - Multiple viable approaches requiring systematic evaluation - Need auditable reasoning trail for team/future reference - Complex problems requiring hypothesis → verification cycle - Building up project knowledge base over time **Skip FPF for:** - Quick fixes, obvious solutions - Easily reversible decisions - Time-critical situations where overhead isn't justified ## Core Concept The core cycle follows three modes of inference: 1. **Abduction** — Generate competing hypotheses (don't anchor on the first idea) 2. **Deduction** — Verify logic and constraints (does the idea make sense?) 3. **Induction** — Gather evidence through tests or research (does the idea work in reality?) Then, audit for bias, decide, and document the rationale in a durable record. ## Assurance Levels Knowledge claims are tracked at different assurance levels: | Level | Name | Description | | ----------- | ----------- | ------------------------------------ | | **L0** | Observation | Un
- When to Use This Skill
- Core Concept
- Assurance Levels
- Commands
- Key Concepts
- WLNK (Weakest Link)
- Congruence
- Validity
- Scope
- Workflow Example
- Design Rationale Record (DRR)
- State Location
- Transformer Mandate
- Integration with Code Review
What does the fpf-methodology skill do?
First Principles Framework (FPF) for structured, auditable reasoning.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill fpf-methodology --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.