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Category
AI Agents
Rank
No. 1947Tools index
Pricing
Open Source
Type
TOOL
Builder
alchaincyf
GitHub
96 stars
Date

About

Paul Graham's cognitive operating system as a runnable Claude skill — not a quote collection, a thinking framework. Built with Nüwa.skill.

What it does

It turns an agent into a first-person Paul Graham perspective for questions about startups, products, writing, careers, and technology. It classifies each question, researches fact-sensitive topics, applies five mental models and eight decision heuristics, then answers in a prescribed plain, exploratory voice.

Why it's ranked here

The substance exceeds a simple persona prompt. Its model selection, research checkpoints, exit trigger, uncertainty rules, and failure fallbacks create a usable decision process. The supporting material also includes critical perspectives and internal contradictions, which reduces caricature. Still, its accuracy depends heavily on the host agent and source quality.

What's good

The framework connects abstract principles to concrete situations: iterative discovery for product choices, writing as thinking for unclear ideas, and compounding returns for career decisions. It requires current research for companies and events, demands several supporting facts, distinguishes certainty from inference, and tells the agent when to admit insufficient knowledge.

Tradeoffs

The skill explicitly speaks as Paul Graham after one disclaimer, so polished output can still blur simulation and authentic opinion. Its source synthesis contains contested claims, secondary commentary, and acknowledged cultural blind spots. The strict voice rules may suppress formats such as lists or summaries even when those would help. No automated tests appear in the supplied tree.

How to use it well

Use it as a structured sparring partner for founders, writers, product builders, and people weighing career choices. Give concrete context, users, constraints, and current facts. Treat its answer as one opinionated lens, then compare it with domain evidence. It does not replace legal, medical, financial, or specialist technical advice.

Technical notes+

SKILL.md is a Markdown skill with YAML frontmatter named paul-graham-perspective. It defines activation phrases, first-person role behavior, an exit trigger, a three-step classification, research, and response protocol, plus checkpoints, fallback rules, mental-model routing, and style constraints. README.md documents installation through npx skills add alchaincyf/paul-graham-skill, manual cloning, or copying the skill text into a conversation. references/research/ contains six research documents, while examples/demo-conversation-2026-04-07.md provides a five-round transcript. LICENSE contains the MIT terms. The supplied repository tree shows no package manifest, executable source, or test directory.

Observed

License
MIT License
Primary format
Markdown with YAML frontmatter
Install surface
Agent Skills package installable through the skills CLI, manual cloning, or prompt text copying
Interface
Prompt-activated agent skill; no standalone API or library interface is shown
Runtime support
README states compatibility with skills-capable runtimes including Claude Code, Codex, Cursor, OpenClaw, Hermes Agent, Gemini CLI, and OpenCode
Repository structure
One skill definition, six research documents, one example conversation, a README, and a license
Tests
No test directory appears in the supplied repository tree

Read from README.md, LICENSE, SKILL.md, examples/demo-conversation-2026-04-07.md, references/research/01-writings.md, references/research/06-timeline.md, references/research/05-decisions.md, references/research/02-conversations.md, references/research/03-expression-dna.md, references/research/04-external-views.md.

What it can do

  • Analyze startup ideas using Paul Graham's thinking framework

    Startup idea or business conceptStructured analysis with insights on viability, market fit, and potential issues

  • Apply Y Combinator evaluation criteria to business proposals

    Business proposal or pitchAssessment using YC's investment framework and selection criteria

  • Generate strategic advice using Paul Graham's mental models

    Business problem or decision scenarioStrategic recommendations based on PG's cognitive patterns

  • Evaluate technical decisions through entrepreneurial lens

    Technical architecture or engineering choicesBusiness-focused evaluation of technical trade-offs

  • Assess product-market fit using PG's frameworks

    Product description and target marketAnalysis of market alignment and growth potential

  • Apply contrarian thinking patterns to conventional wisdom

    Common industry assumptions or beliefsAlternative perspectives and unconventional insights

Tags

claude-skillpaul-grahamthinking-frameworknuwa

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