frypan05/philosopher-OKF

The knowledge lives in an [Open Knowledge Format](https://okf.md/spec/) (OKF) bundle: plain Markdown with YAML frontmatter, no SDK, any model can read it.

|---|---| | A folder (Claude Code, opencode, Cursor, Codex) | `npx skills add frypan05/philosopher-OKF` (no git, Node 22+, installs into whichever agent you have; on older Node use `npx skills@1.5.16 add frypan05/philosopher-OKF`), or clone

| A folder (Claude Code, opencode, Cursor, Codex) | `npx skills add frypan05/philosopher-OKF` (no git, Node 22+, installs into whichever agent you have; on older Node use `npx skills@1.5.16 add frypan05/philosopher-OKF`), or clone this repo

| A URL (ChatGPT, Gemini, Claude with browsing) | [github.com/…/blob/main/philosopher.md](https://github.com/frypan05/philosopher-OKF/blob/main/philosopher.md) — say "follow this, make a page about: …"; the [raw URL](https://raw.githubuserc

**No terminal at all?** Open the [site](https://frypan05.github.io/philosopher-OKF/), click *copy skill*, and paste it into any chat — you're done.

You are Philosopher, a teaching engine. Open https://github.com/frypan05/philosopher-OKF/blob/main/philosopher.md and follow it exactly — it contains everything: the workflow, the page template, and the domain cards. If you cannot open URLs

Ask in plain words, optionally with a level and depth: *"Explain how vaccines train the immune system, for a 9th grader, brief"*, *"Explain this paper: https://arxiv.org/abs/2204.14198"*.

If you cannot read the bundle's files: if you can fetch URLs, read them from https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/ — fetch `index.md` first, then `core/workflow.md`, and read only what its load table names. If

Layout and conformance rules of the bundle follow the Open Knowledge Format (https://okf.md/spec/). Check with `bash scripts/validate.sh okf`.

<h1>How bit manipulation, binary conversion, scheduling, and memory allocation work</h1>   <p class="deck">Everything a computer stores is a pattern of 0s and 1s: numbers become bit patterns by place value, and a handful of bitwise operatio

<p class="deck">Everything a computer stores is a pattern of 0s and 1s: numbers become bit patterns by place value, and a handful of bitwise operations change individual bits directly. The operating system repeats the same idea at a larger 

<a class="orig" href="https://research.cs.wisc.edu/wind/OSTEP">Read the original source ↗</a>

<h2>Go deeper</h2> <ol>   <li><a href="https://cs.longwood.edu/courses/cmsc121/resources/s24/number-bases">Longwood CMSC 121 — Number Bases</a> (beginner): place-value conversion in both directions, plus the hex-to-binary shortcut.</li>

<ol>   <li><a href="https://cs.longwood.edu/courses/cmsc121/resources/s24/number-bases">Longwood CMSC 121 — Number Bases</a> (beginner): place-value conversion in both directions, plus the hex-to-binary shortcut.</li>   <li><a href="https:/

<li><a href="https://cs.longwood.edu/courses/cmsc121/resources/s24/number-bases">Longwood CMSC 121 — Number Bases</a> (beginner): place-value conversion in both directions, plus the hex-to-binary shortcut.</li>

<li><a href="https://docs.oracle.com/javase/tutorial/java/nutsandbolts/op3.html">Oracle Java tutorial — Bitwise and Bit Shift Operators</a>: the five operators as runnable code.</li>

<li><a href="https://research.cs.wisc.edu/wind/OSTEP">OSTEP — Operating Systems: Three Easy Pieces</a>: free textbook; the source for processes, scheduling, and memory virtualization.</li>

<li><a href="https://codex.cs.yale.edu/avi/os-book/OS8/os8c/slide-dir/PDF-dir/ch8.pdf">Silberschatz, Galvin, Gagne — Main Memory (ch. 8 slides)</a> (advanced): allocation algorithms, fragmentation, and paging in full.</li>

<h2>References</h2> <ol class="refs">   <li id="r1"><a class="t" href="https://www.cs.fsu.edu/~myers/cop3330/notes/bitwise.html">Bitwise Operators (FSU course notes)</a><span class="d">Semantics of AND, OR, XOR, NOT and the shifts, with a w

<ol class="refs">   <li id="r1"><a class="t" href="https://www.cs.fsu.edu/~myers/cop3330/notes/bitwise.html">Bitwise Operators (FSU course notes)</a><span class="d">Semantics of AND, OR, XOR, NOT and the shifts, with a worked 16-bit example

<li id="r1"><a class="t" href="https://www.cs.fsu.edu/~myers/cop3330/notes/bitwise.html">Bitwise Operators (FSU course notes)</a><span class="d">Semantics of AND, OR, XOR, NOT and the shifts, with a worked 16-bit example and the two's-compl

<li id="r2"><a class="t" href="https://cs.longwood.edu/courses/cmsc121/resources/s24/number-bases">Number Bases (Longwood CMSC 121)</a><span class="d">Binary place value, the powers-of-two table, and both conversion directions.</span></li>

<li id="r3"><a class="t" href="https://pages.cs.wisc.edu/~remzi/OSTEP/cpu-intro.pdf">OSTEP ch. 4 — The Abstraction: The Process</a><span class="d">Process states, the process control block, and where scheduling decisions appear.</span></li>

<li id="r4"><a class="t" href="https://www.ece.villanova.edu/~rperry/os/Chapters/07-cpu-sched/notes.pdf">OSTEP ch. 7 — CPU Scheduling (course notes)</a><span class="d">FIFO, SJF, STCF, round robin, response and turnaround time, and why feed

<li id="r5"><a class="t" href="https://codex.cs.yale.edu/avi/os-book/OS8/os8c/slide-dir/PDF-dir/ch8.pdf">Operating System Concepts — ch. 8: Main Memory (slides)</a><span class="d">Holes and first/best/worst-fit, fragmentation, frames, pages

<h2>Go deeper</h2> <ul>   <li><a href="https://kafka.apache.org/documentation/">Apache Kafka Documentation</a>: The definitive technical specification.</li>

<ul>   <li><a href="https://kafka.apache.org/documentation/">Apache Kafka Documentation</a>: The definitive technical specification.</li>   <li><a href="https://www.confluent.io/blog/">Confluent Blog</a>: Practical engineering insights on s

<li><a href="https://kafka.apache.org/documentation/">Apache Kafka Documentation</a>: The definitive technical specification.</li>

<li><a href="https://www.confluent.io/blog/">Confluent Blog</a>: Practical engineering insights on scaling event-streaming.</li>

<h2>References</h2> <ol class="refs">   <li id="r1"><a class="t" href="https://kafka.apache.org/documentation/#introduction">Kafka Introduction</a><span class="d">Explains the core concept of the distributed streaming platform.</span></li>

<ol class="refs">   <li id="r1"><a class="t" href="https://kafka.apache.org/documentation/#introduction">Kafka Introduction</a><span class="d">Explains the core concept of the distributed streaming platform.</span></li>   <li id="r2"><a cla

<li id="r1"><a class="t" href="https://kafka.apache.org/documentation/#introduction">Kafka Introduction</a><span class="d">Explains the core concept of the distributed streaming platform.</span></li>

<li id="r2"><a class="t" href="https://kafka.apache.org/documentation/#design">Kafka Design Principles</a><span class="d">Details the architecture of topics, partitions, and horizontal scaling.</span></li>

<li id="r3"><a class="t" href="https://kafka.apache.org/documentation/#persistence">Persistence and Durability</a><span class="d">Covers how Kafka manages long-term event storage and replay.</span></li>

<h1>MCP and ACP: two protocols that make AI programs talk</h1>   <p class="deck">Both are thin layers of newline-delimited JSON that let one program drive another, and both exist so nobody has to write a custom integration for every pair of

<p class="deck">Both are thin layers of newline-delimited JSON that let one program drive another, and both exist so nobody has to write a custom integration for every pair of tools. This page shows what each protocol connects, what actuall

<a class="orig" href="https://modelcontextprotocol.io/docs/getting-started/intro">Read the original MCP introduction ↗</a>

<h2>Go deeper</h2> <ul> <li><a href="https://modelcontextprotocol.io/docs/getting-started/intro">MCP: What is Model Context Protocol?</a> — the official plain-language introduction.</li>

<ul> <li><a href="https://modelcontextprotocol.io/docs/getting-started/intro">MCP: What is Model Context Protocol?</a> — the official plain-language introduction.</li> <li><a href="https://agentclientprotocol.com/get-started/introduction">A

<li><a href="https://modelcontextprotocol.io/docs/getting-started/intro">MCP: What is Model Context Protocol?</a> — the official plain-language introduction.</li>

<li><a href="https://agentclientprotocol.com/get-started/introduction">ACP: Introduction</a> — why editors and agents needed a standard.</li>

<li><a href="https://modelcontextprotocol.io/docs/2026-07-28/learn/architecture">MCP architecture overview</a> — layers, primitives, and a full message walkthrough.</li>

<li><a href="https://agentclientprotocol.com/protocol/v1/prompt-turn">ACP prompt turn</a> — the lifecycle, with every JSON example.</li>

<li><a href="https://www.jsonrpc.org/specification">JSON-RPC 2.0 specification</a> — the 30-page foundation under both.</li>

<h2>References</h2> <ol class="refs">   <li id="r1"><a class="t" href="https://modelcontextprotocol.io/docs/getting-started/intro">MCP — What is the Model Context Protocol?</a><span class="d">Supports the USB-C framing, the N×M integration 

<ol class="refs">   <li id="r1"><a class="t" href="https://modelcontextprotocol.io/docs/getting-started/intro">MCP — What is the Model Context Protocol?</a><span class="d">Supports the USB-C framing, the N×M integration problem, and the eco

<li id="r1"><a class="t" href="https://modelcontextprotocol.io/docs/getting-started/intro">MCP — What is the Model Context Protocol?</a><span class="d">Supports the USB-C framing, the N×M integration problem, and the ecosystem of clients (C

<li id="r2"><a class="t" href="https://modelcontextprotocol.io/docs/2026-07-28/learn/architecture">MCP — Architecture overview</a><span class="d">Supports host/client/server roles, the data-layer and transport-layer split, the three server 

<li id="r3"><a class="t" href="https://modelcontextprotocol.io/specification/latest/basic/transports">MCP specification — Transports</a><span class="d">Supports stdio and Streamable HTTP bindings, message-direction rules, cancellation per b

<li id="r4"><a class="t" href="https://agentclientprotocol.com/get-started/introduction">ACP — Introduction</a><span class="d">Supports the editor/agent decoupling argument, the LSP comparison, and local (stdio) versus remote (HTTP/WebSocke

<li id="r5"><a class="t" href="https://agentclientprotocol.com/get-started/architecture">ACP — Architecture</a><span class="d">Supports the MCP-friendly design principle, subprocess boot over stdin/stdout, concurrent sessions, bidirectional

<li id="r6"><a class="t" href="https://agentclientprotocol.com/protocol/v1/overview">ACP v1 — Overview</a><span class="d">Supports the baseline method list (initialize, session/new, session/prompt), client methods (fs, terminal, elicitation

<li id="r7"><a class="t" href="https://agentclientprotocol.com/protocol/v1/transports">ACP — Transports</a><span class="d">Supports newline-delimited framing rules, the stdout/stderr contract, streamable HTTP being in draft, and custom tran

<li id="r8"><a class="t" href="https://agentclientprotocol.com/protocol/v1/initialization">ACP — Initialization</a><span class="d">Supports the initialize request/response examples, integer protocol version negotiation, client and agent cap

<li id="r9"><a class="t" href="https://agentclientprotocol.com/protocol/v1/prompt-turn">ACP — Prompt Turn</a><span class="d">Supports the full turn lifecycle, the session/update variant table, permission requests during tool calls, usage up

<li id="r10"><a class="t" href="https://www.jsonrpc.org/specification">JSON-RPC 2.0 Specification</a><span class="d">Supports the definitions of request, response, and notification objects, id correlation, and the error object both protocol

<li id="r11"><a class="t" href="https://blog.modelcontextprotocol.io/posts/2025-12-09-mcp-joins-agentic-ai-foundation/">MCP joins the Agentic AI Foundation</a><span class="d">Supports the December 9, 2025 donation date, the Linux Foundation

<li id="r12"><a class="t" href="https://zed.dev/acp">Zed — Agent Client Protocol</a><span class="d">Supports the Apache-licensed open standard claim, the editor and agent ecosystem lists, Gemini CLI arriving September 3, 2025, and Claude Co

<li id="r13"><a class="t" href="https://www.linuxfoundation.org/press/linux-foundation-announces-the-formation-of-the-agentic-ai-foundation">Linux Foundation press release — Agentic AI Foundation formed</a><span class="d">Supports the Novem

<li id="r14"><a class="t" href="https://agentclientprotocol.com/announcements/acp-v2-draft">ACP announcement — v2 available in draft</a><span class="d">Supports the claim that a v2 protocol revision is published in draft form for review alo

<h1>Flamingo: a Visual Language Model for Few-Shot Learning</h1>   <p class="deck">This reading guide explains how Flamingo connects a frozen vision encoder to a frozen language model through a 64-token resampler and zero-initialized gated 

<p class="deck">This reading guide explains how Flamingo connects a frozen vision encoder to a frozen language model through a 64-token resampler and zero-initialized gated cross-attention. It follows one interleaved prompt through the syst

<a class="orig" href="https://arxiv.org/abs/2204.14198">Read the original paper ↗</a>

<h2>References</h2> <ol class="refs">   <li id="r1"><a class="t" href="https://arxiv.org/abs/2204.14198">Flamingo: a Visual Language Model for Few-Shot Learning</a><span class="d">Alayrac et al., arXiv:2204.14198, NeurIPS 2022. Primary reco

<ol class="refs">   <li id="r1"><a class="t" href="https://arxiv.org/abs/2204.14198">Flamingo: a Visual Language Model for Few-Shot Learning</a><span class="d">Alayrac et al., arXiv:2204.14198, NeurIPS 2022. Primary record; section pointers

<li id="r1"><a class="t" href="https://arxiv.org/abs/2204.14198">Flamingo: a Visual Language Model for Few-Shot Learning</a><span class="d">Alayrac et al., arXiv:2204.14198, NeurIPS 2022. Primary record; section pointers refer to the full t

<li id="r2"><a class="t" href="https://arxiv.org/abs/2103.03206">Perceiver: General Perception with Iterative Attention</a><span class="d">Jaegle et al., 2021. Source of the latent-query cross-attention idea.</span></li>

<li id="r3"><a class="t" href="https://arxiv.org/abs/2103.00020">Learning Transferable Visual Models From Natural Language Supervision</a><span class="d">Radford et al., 2021 (CLIP). Contrastive image-text training.</span></li>

<li id="r4"><a class="t" href="https://arxiv.org/abs/2005.14165">Language Models are Few-Shot Learners</a><span class="d">Brown et al., 2020 (GPT-3). In-context few-shot learning in language models.</span></li>

<li id="r5"><a class="t" href="https://arxiv.org/abs/2203.15556">Training Compute-Optimal Large Language Models</a><span class="d">Hoffmann et al., 2022 (Chinchilla). The language model family Flamingo builds on.</span></li>

<h1>Stacks, queues, heaps, trees, and graphs</h1>   <p class="deck">Stack, queue, binary heap, binary search tree, and graph are the five data structures this page defines, with exact costs: O(1) for stack push and pop, O(log n) for heap in

<p class="deck">Stack, queue, binary heap, binary search tree, and graph are the five data structures this page defines, with exact costs: O(1) for stack push and pop, O(log n) for heap insert, O(h) for a search in a tree of height h, and Θ

<a class="orig" href="https://courses.csail.mit.edu/6.006/fall11/exams.dead/notes2-2.pdf">Read the original source ↗</a>

<h2>Go deeper</h2> <ul> <li><a href="https://neetcode.io/courses/lessons/8-data-structures">NeetCode: Data structures</a>, covers queue order, array-backed heaps, and adjacency lists.</li>

<ul> <li><a href="https://neetcode.io/courses/lessons/8-data-structures">NeetCode: Data structures</a>, covers queue order, array-backed heaps, and adjacency lists.</li> <li><a href="https://d3no4ktch0fdq4.cloudfront.net/public/course/files

<li><a href="https://neetcode.io/courses/lessons/8-data-structures">NeetCode: Data structures</a>, covers queue order, array-backed heaps, and adjacency lists.</li>

<li><a href="https://d3no4ktch0fdq4.cloudfront.net/public/course/files/data_structure_cheatsheet_-_combined.pdf">Data structures cheatsheet (PDF)</a>, stack and queue cost rows in table form.</li>

<li><a href="https://docs.python.org/3.12/library/heapq.html">Python 3.12 documentation: heapq</a>, the functions used in the trace above.</li>

<li><a href="https://pages.cs.wisc.edu/~ealexand/cs367/NOTES/AVL-Trees/index.html">UW-Madison CS 367 notes: AVL trees</a>, the height bound and the rotations behind it.</li>

<li><a href="https://courses.csail.mit.edu/6.006/fall11/exams.dead/notes2-2.pdf">MIT 6.006 notes 2 (PDF)</a>, formal costs for adjacency lists, matrices, and traversals.</li>

<h2>References</h2> <ol class="refs">   <li id="r1"><a class="t" href="https://www.geeksforgeeks.org/dsa/basic-operations-in-stack-data-structure-with-implementations">Basic Operations in Stack Data Structure with Implementations</a><span c

<ol class="refs">   <li id="r1"><a class="t" href="https://www.geeksforgeeks.org/dsa/basic-operations-in-stack-data-structure-with-implementations">Basic Operations in Stack Data Structure with Implementations</a><span class="d">Supports pu

<li id="r1"><a class="t" href="https://www.geeksforgeeks.org/dsa/basic-operations-in-stack-data-structure-with-implementations">Basic Operations in Stack Data Structure with Implementations</a><span class="d">Supports push, pop, and peek as

<li id="r2"><a class="t" href="https://d3no4ktch0fdq4.cloudfront.net/public/course/files/data_structure_cheatsheet_-_combined.pdf">Data structures cheatsheet (combined PDF)</a><span class="d">Supports the stack and queue operation-cost rows

<li id="r3"><a class="t" href="https://ocw.mit.edu/courses/1-204-computer-algorithms-in-systems-engineering-spring-2010/539419168b85e067099cc330bc2a3525_MIT1_204S10_lec06.pdf">MIT OCW 1.204 Computer Algorithms in Systems Engineering, Spring

<li id="r4"><a class="t" href="https://docs.python.org/3.12/library/heapq.html">Python 3.12 documentation: heapq, heap queue algorithm</a><span class="d">Supports the heap invariant (heap[k] ≤ heap[2k+1] and heap[k] ≤ heap[2k+2]), the small

<li id="r5"><a class="t" href="https://www.geeksforgeeks.org/dsa/complexity-analysis-of-various-operations-of-binary-min-heap/">Complexity analysis of various operations of a binary min heap</a><span class="d">Supports O(log N) for insert a

<li id="r6"><a class="t" href="https://pages.cs.wisc.edu/~ealexand/cs367/NOTES/AVL-Trees/index.html">UW-Madison CS 367 notes: AVL trees</a><span class="d">Supports the AVL height bound of about 1.44 log₂ n and the O(N) worst case of an unba

<li id="r7"><a class="t" href="https://www.geeksforgeeks.org/dsa/complexity-different-operations-binary-tree-binary-search-tree-avl-tree/">Complexity of different operations on binary tree, binary search tree, and AVL tree</a><span class="d

<li id="r8"><a class="t" href="https://courses.csail.mit.edu/6.006/fall11/exams.dead/notes2-2.pdf">MIT 6.006 Introduction to Algorithms, Fall 2011, notes 2 (PDF)</a><span class="d">Supports adjacency list space Θ(V+E), adjacency matrix spac

<li id="r9"><a class="t" href="https://neetcode.io/courses/lessons/8-data-structures">NeetCode: Data structures (lesson 8)</a><span class="d">Supports the queue as first in first out, the heap as a nearly complete tree kept in an array, and

<li id="r10"><a class="t" href="https://bytebytego.com/guides/explaining-the-4-most-commonly-used-types-of-queues-in-a-single-diagram">ByteByteGo: The 4 most common types of queues</a><span class="d">Supports the four queue types compared i

<div class="eyebrow">SKILL · phil-OKF</div>   <h1>Any topic in, one reading guide out</h1>   <a class="orig" href="https://github.com/frypan05/philosopher-OKF">github.com/frypan05/philosopher-OKF ↗</a>

<h1>Any topic in, one reading guide out</h1>   <a class="orig" href="https://github.com/frypan05/philosopher-OKF">github.com/frypan05/philosopher-OKF ↗</a>   <p class="deck">phil-OKF is a skill for AI agents that turns any question into a s

<a class="orig" href="https://github.com/frypan05/philosopher-OKF">github.com/frypan05/philosopher-OKF ↗</a>

<p class="deck">phil-OKF is a skill for AI agents that turns any question into a single self-contained HTML page: minimal, white, <mark>research-paper style</mark>, every claim tagged to a source that resolves. The whole skill is one small 

<a class="orig" href="https://frypan05.github.io/philosopher-OKF/examples/mcp-and-acp.html">Open a sample output ↗</a>

<tr><th><mark>Your tool asks for</mark></th><th><mark>Give it</mark></th></tr>   <tr><td>A folder (Claude Code, opencode, Cursor, Codex)</td><td><code><mark>npx skills add frypan05/philosopher-OKF</mark></code> (no git, Node 22+, installs i

<tr><td>A folder (Claude Code, opencode, Cursor, Codex)</td><td><code><mark>npx skills add frypan05/philosopher-OKF</mark></code> (no git, Node 22+, installs into whichever agent you have), or clone this repo where your skills live</td></tr

<tr><td>A URL (ChatGPT, Gemini, Claude with browsing)</td><td><a href="https://github.com/frypan05/philosopher-OKF/blob/main/philosopher.md">github.com/…/blob/main/philosopher.md</a> — say "follow this, make a page about: …"; the raw URL wo

<p class="cta">Copy the skill into your chat, or into your code editor's skills folder and you're done. <button type="button" class="copy" onclick="copySkill(this)">copy skill</button></p> <h3>One paste covers every chat view — copy this pr

<h3>One paste covers every chat view — copy this prompt</h3> <div class="pw"><pre id="bp">You are Philosopher, a teaching engine. Open https://github.com/frypan05/philosopher-OKF/blob/main/philosopher.md and follow it exactly — it contains 

<div class="pw"><pre id="bp">You are Philosopher, a teaching engine. Open https://github.com/frypan05/philosopher-OKF/blob/main/philosopher.md and follow it exactly — it contains everything: the workflow, the page template, and the domain c

<h2>The skill is <mark>built on OKF</mark></h2> <p>OKF — the <a href="https://okf.md/spec/">Open Knowledge Format</a> — is plain Markdown with YAML frontmatter: one folder of typed files, no SDK, no build step, readable by any model that ca

<p>OKF — the <a href="https://okf.md/spec/">Open Knowledge Format</a> — is plain Markdown with YAML frontmatter: one folder of typed files, no SDK, no build step, readable by any model that can open a file. This repository is a conformant b

<li id="r3"><a class="t" href="okf/core/source-policy.md">Source policy</a><span class="d">Allowed sources, citation format, and the never-fabricate rule.</span></li>   <li id="r4"><a class="t" href="okf/core/audience-depth.md">Audience and

<li id="r4"><a class="t" href="okf/core/audience-depth.md">Audience and depth</a><span class="d">Reading levels and the brief, standard and deep size budgets in the table above.</span></li>   <li id="r5"><a class="t" href="https://github.co

<li id="r5"><a class="t" href="https://github.com/frypan05/philosopher-OKF/blob/main/examples/mcp-and-acp.html">Sample output</a><span class="d">A finished explainer — MCP and ACP — rendered by this template.</span></li>

<footer>Generated by phil-OKF</footer> <script> function rawURL(){return "https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/philosopher.md";}

<script> function rawURL(){return "https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/philosopher.md";} function cp(t,el){var done=function(){el.textContent="Copied!";};

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document.body.removeChild(ta);ok?done():location.href=rawURL();} function copySkill(el){fetch("philosopher.md").then(function(r){if(!r.ok)throw 0;return r.text();}).catch(function(){return fetch(rawURL()).then(function(r){return r.text();})

function copySkill(el){fetch("philosopher.md").then(function(r){if(!r.ok)throw 0;return r.text();}).catch(function(){return fetch(rawURL()).then(function(r){return r.text();});}).then(function(t){cp(t,el);}).catch(function(){location.href=r

Start at [okf/index.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/index.md), fetch [okf/core/workflow.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/workflow.md) next, follow its 8 ste

- [SKILL.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/SKILL.md): entry point for skill-aware agents (Claude Code, Cursor, Codex); route the question, then follow the bundle

- [okf/index.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/index.md): bundle root; lists every core file and all 12 domains without requiring them to be read

- [okf/core/workflow.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/workflow.md): the 8 steps, the lazy load table, research caps, and the output rules - [okf/core/classifier.md](https://raw.githubusercontent.c

- [okf/core/classifier.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/classifier.md): routes a question to one of 12 domains by keyword and intent

- [philosopher.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/philosopher.md): single-file build of the whole skill for chat apps that cannot fetch several files; regenerated from okf/ on every push, never edited by han

- [okf/core/page-template.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/page-template.md): base CSS and HTML skeleton every output uses; Optional CSS is the last section, read only if a planned component needs

- [okf/core/source-policy.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/source-policy.md): allowed sources, citation format, and the never-fabricate-a-source rule

- [okf/core/audience-depth.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/audience-depth.md): reading levels, brief/standard/deep depth rules, and the word and reference budgets

- [okf/core/knowledge-graph.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/knowledge-graph.md): concept-map method used by deep runs

- [okf/core/writing-rules.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/writing-rules.md): prose rules and self-check, read at every depth

- [okf/core/writing-detection.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/writing-detection.md): word lists, heading anti-patterns, and structural thresholds, read at deep depth

- [okf/core/output-contract.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/core/output-contract.md): pointer stub; its rules live in workflow.md

- [okf/domains/index.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/domains/index.md): the 12 study domains (technology and engineering, medical and health, natural sciences, mathematics, finance, economics, busines

- [README.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/README.md): install and usage matrix (folder, URL, text prompt, MCP) plus validation and extension steps

- [examples/sample-flamingo-reading-guide.html](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/examples/sample-flamingo-reading-guide.html): a finished page, in full HTML source

- [Repository](https://github.com/frypan05/philosopher-OKF): clone, browse the rendered files, and raise issues

- [scripts/validate.sh](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/scripts/validate.sh): OKF conformance and link check; run with `bash scripts/validate.sh okf`

- [okf/log.md](https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/log.md): dated change history of the bundle

<figure><img src="https://commons.wikimedia.org/wiki/Special:FilePath/EXACT_NAME.jpg?width=640" alt="What it shows" width="640" loading="lazy" onerror="this.parentNode.querySelector('img').remove()"><figcaption>Caption. Source: <a href="PAG

* **Scope**: Strategy, marketing, operations and supply chain, product, entrepreneurship, leadership, unit economics. * **Explain**: Situation → framework as a lens → numbers → decision → risks and second-order effects; ground everything in

* **Explain**: Situation → framework as a lens → numbers → decision → risks and second-order effects; ground everything in unit economics; offer one counter-example where the advice fails, and name a framework's limits when you use it. * **

* **Sources**: SEC EDGAR — https://www.sec.gov/edgar · SSRN — https://www.ssrn.com/ · HBS Working Knowledge — https://hbswk.hbs.edu/

| Host | URL | Best for | |---|---|---| | SSRN | https://www.ssrn.com/ | Management and finance working papers |

|---|---|---| | SSRN | https://www.ssrn.com/ | Management and finance working papers | | Harvard Business School Working Knowledge | https://hbswk.hbs.edu/ | Research summaries |

| SSRN | https://www.ssrn.com/ | Management and finance working papers |

| Harvard Business School Working Knowledge | https://hbswk.hbs.edu/ | Research summaries |

| Harvard Business Review | https://hbr.org/ | Practitioner articles (entry point, tier 4) |

| SEC EDGAR | https://www.sec.gov/edgar | Public company filings (primary) |

| Ministry of Corporate Affairs (India) | https://www.mca.gov.in/ | Indian company law and filings |

| ISO | https://www.iso.org/ | Quality and process standards |

| PMI | https://www.pmi.org/ | Project management |

| Y Combinator Library | https://www.ycombinator.com/library | Startup practice |

| OECD | https://www.oecd.org/ | Industry and SME statistics |

* **Scope**: Micro and macroeconomics, game theory, trade, development, monetary and fiscal policy, econometrics. * **Explain**: Question → model and its assumptions → mechanism as a causal chain → evidence → policy trade-offs; separate pos

* **Explain**: Question → model and its assumptions → mechanism as a causal chain → evidence → policy trade-offs; separate positive from normative and nominal from real; show the data series with name, source, and date range. * **Sources**:

* **Sources**: FRED — https://fred.stlouisfed.org/ · World Bank Data — https://data.worldbank.org/ · IMF — https://www.imf.org/

| Host | URL | Best for | |---|---|---| | FRED (St. Louis Fed) | https://fred.stlouisfed.org/ | Time series, with series IDs |

|---|---|---| | FRED (St. Louis Fed) | https://fred.stlouisfed.org/ | Time series, with series IDs | | World Bank Data | https://data.worldbank.org/ | Country indicators |

| FRED (St. Louis Fed) | https://fred.stlouisfed.org/ | Time series, with series IDs |

| World Bank Data | https://data.worldbank.org/ | Country indicators |

| IMF | https://www.imf.org/ | Outlooks, country reports |

| OECD | https://www.oecd.org/ | Advanced-economy statistics and policy |

| NBER | https://www.nber.org/ | Working papers |

| RePEc / IDEAS | https://ideas.repec.org/ | Economics paper index |

| BLS | https://www.bls.gov/ | US labour and prices |

| BEA | https://www.bea.gov/ | US national accounts |

| Our World in Data | https://ourworldindata.org/ | Long-run charts with sources |

| Reserve Bank of India | https://www.rbi.org.in/ | Indian monetary data |

| MoSPI | https://mospi.gov.in/ | Indian official statistics |

* **Scope**: Time value of money, valuation, financial statements, capital markets, derivatives, risk, banking, personal finance. * **Explain**: Everything is cash flows over time — draw the timeline first, then discount; show how the three

* **Explain**: Everything is cash flows over time — draw the timeline first, then discount; show how the three statements connect; work one company or loan with round numbers, pairing every return with its risk and every rate with its date.

* **Sources**: SEC EDGAR — https://www.sec.gov/edgar · IFRS Foundation — https://www.ifrs.org/ · Damodaran Online — https://pages.stern.nyu.edu/~adamodar/

| Host | URL | Best for | |---|---|---| | Investor.gov (SEC) | https://www.investor.gov/ | Investor education |

|---|---|---| | Investor.gov (SEC) | https://www.investor.gov/ | Investor education | | SEC EDGAR | https://www.sec.gov/edgar | Company filings (primary) |

| Investor.gov (SEC) | https://www.investor.gov/ | Investor education |

| SEC EDGAR | https://www.sec.gov/edgar | Company filings (primary) |

| IFRS Foundation | https://www.ifrs.org/ | International accounting standards |

| FASB | https://www.fasb.org/ | US GAAP |

| Bank for International Settlements | https://www.bis.org/ | Banking and market structure |

| IMF | https://www.imf.org/ | Global financial stability |

| Federal Reserve | https://www.federalreserve.gov/ | US monetary and banking data |

| Reserve Bank of India | https://www.rbi.org.in/ | Indian banking and rates |

| SEBI | https://www.sebi.gov.in/ | Indian securities regulation |

| Damodaran Online | https://pages.stern.nyu.edu/~adamodar/ | Valuation data and notes |

| CFA Institute | https://www.cfainstitute.org/ | Professional curriculum material |

* **Scope**: Everyday how-things-work, practical skills, hobbies, travel, food, consumer topics, current events, and anything the classifier cannot place. * **Explain**: Start from everyday experience, then the mechanism, then the exception

* **Explain**: Start from everyday experience, then the mechanism, then the exception; use one analogy and say where it stops working; break procedures into numbered steps with the common mistake beside its step. * **Sources**: Encyclopaedi

* **Sources**: Encyclopaedia Britannica — https://www.britannica.com/ · Wikipedia — https://www.wikipedia.org/ (entry point only) · Our World in Data — https://ourworldindata.org/

| Host | URL | Best for | |---|---|---| | Encyclopaedia Britannica | https://www.britannica.com/ | Broad reference |

|---|---|---| | Encyclopaedia Britannica | https://www.britannica.com/ | Broad reference | | Wikipedia | https://www.wikipedia.org/ | Entry point to primary sources (tier 4) |

| Encyclopaedia Britannica | https://www.britannica.com/ | Broad reference |

| Wikipedia | https://www.wikipedia.org/ | Entry point to primary sources (tier 4) |

| Our World in Data | https://ourworldindata.org/ | Charts on global trends |

| Library of Congress | https://www.loc.gov/ | Historical and cultural records |

| NASA | https://www.nasa.gov/ | Space and Earth |

| Khan Academy | https://www.khanacademy.org/ | School-level explanations |

* **Scope**: Philosophy, world and regional history, literature, religious studies, linguistics, art and music history, cultural studies. * **Explain**: Context → claim or event → argument or evidence → objections and rival readings → legac

* **Explain**: Context → claim or event → argument or evidence → objections and rival readings → legacy; keep primary sources apart from interpretation; present each school at its strongest, in its own adherents' words. * **Sources**: Stanf

* **Sources**: Stanford Encyclopedia of Philosophy — https://plato.stanford.edu/ · Project Gutenberg — https://www.gutenberg.org/ · Internet Archive — https://archive.org/

| Host | URL | Best for | |---|---|---| | Stanford Encyclopedia of Philosophy | https://plato.stanford.edu/ | Peer-reviewed philosophy entries |

|---|---|---| | Stanford Encyclopedia of Philosophy | https://plato.stanford.edu/ | Peer-reviewed philosophy entries | | Internet Encyclopedia of Philosophy | https://iep.utm.edu/ | Accessible philosophy entries |

| Stanford Encyclopedia of Philosophy | https://plato.stanford.edu/ | Peer-reviewed philosophy entries |

| Internet Encyclopedia of Philosophy | https://iep.utm.edu/ | Accessible philosophy entries |

| Encyclopaedia Britannica | https://www.britannica.com/ | Orientation across all subjects |

| Project Gutenberg | https://www.gutenberg.org/ | Public-domain primary texts |

| Library of Congress | https://www.loc.gov/ | Documents, maps, collections |

| Internet Archive | https://archive.org/ | Digitized books and records |

| Perseus Digital Library | https://www.perseus.tufts.edu/ | Classical texts |

| JSTOR | https://www.jstor.org/ | Scholarly articles (often paywalled; link the record) |

| The Met Museum | https://www.metmuseum.org/ | Art objects and essays |

| UNESCO | https://www.unesco.org/ | Heritage and cultural programs |

* **Scope**: Constitutional, contract, tort, criminal, property, IP, privacy, administrative and international law, plus public policy. * **Explain**: Name the jurisdiction and date first; structure as rule → elements → application to a sim

* **Explain**: Name the jurisdiction and date first; structure as rule → elements → application to a simple fact pattern → defences → how courts treat it; separate what the law says from what it should be. * **Sources**: India Code — https:

* **Sources**: India Code — https://www.indiacode.nic.in/ · Cornell LII — https://www.law.cornell.edu/ · legislation.gov.uk — https://www.legislation.gov.uk/

| Host | URL | Best for | |---|---|---| | India Code | https://www.indiacode.nic.in/ | Indian central statutes |

|---|---|---| | India Code | https://www.indiacode.nic.in/ | Indian central statutes | | Supreme Court of India | https://www.sci.gov.in/ | Indian judgments |

| India Code | https://www.indiacode.nic.in/ | Indian central statutes |

| Supreme Court of India | https://www.sci.gov.in/ | Indian judgments |

| Cornell Legal Information Institute | https://www.law.cornell.edu/ | US Code, rules, Supreme Court summaries |

| Congress.gov | https://www.congress.gov/ | US bills and laws |

| Supreme Court of the United States | https://www.supremecourt.gov/ | US opinions |

| legislation.gov.uk | https://www.legislation.gov.uk/ | UK statutes |

| EUR-Lex | https://eur-lex.europa.eu/ | EU law |

| UN Treaty Collection | https://treaties.un.org/ | Treaties and status |

| International Court of Justice | https://www.icj-cij.org/ | International judgments |

| WIPO | https://www.wipo.int/ | Intellectual property treaties |

| SSRN | https://www.ssrn.com/ | Legal scholarship |

* **Scope**: Arithmetic to analysis, linear algebra, discrete maths, geometry, probability, statistics, formal logic and set theory. * **Explain**: Motivation → definition → example → non-example → result → proof sketch; work one small numb

* **Explain**: Motivation → definition → example → non-example → result → proof sketch; work one small number case before any symbol; define every symbol at first use and keep notation constant. * **Sources**: NIST DLMF — https://dlmf.nist.

* **Sources**: NIST DLMF — https://dlmf.nist.gov/ · MIT OpenCourseWare — https://ocw.mit.edu/ · NIST/SEMATECH e-Handbook — https://www.itl.nist.gov/div898/handbook/

| Host | URL | Best for | |---|---|---| | NIST Digital Library of Mathematical Functions | https://dlmf.nist.gov/ | Special functions, formulas |

|---|---|---| | NIST Digital Library of Mathematical Functions | https://dlmf.nist.gov/ | Special functions, formulas | | NIST/SEMATECH e-Handbook of Statistical Methods | https://www.itl.nist.gov/div898/handbook/ | Applied statistics |

| NIST Digital Library of Mathematical Functions | https://dlmf.nist.gov/ | Special functions, formulas |

| NIST/SEMATECH e-Handbook of Statistical Methods | https://www.itl.nist.gov/div898/handbook/ | Applied statistics |

| MIT OpenCourseWare | https://ocw.mit.edu/ | Lecture notes and problem sets |

| Stanford Encyclopedia of Philosophy | https://plato.stanford.edu/ | Logic and foundations |

| OEIS | https://oeis.org/ | Integer sequences |

| Wolfram MathWorld | https://mathworld.wolfram.com/ | Definitions and results (check against a second source) |

| nLab | https://ncatlab.org/ | Category theory and higher maths |

| arXiv (math, stat) | https://arxiv.org/ | Research papers |

| Khan Academy | https://www.khanacademy.org/ | School and early undergraduate |

* **Scope**: Anatomy and physiology, disease, drugs, public health, nutrition, mental health, clinical evidence. * **Explain**: Normal structure first, then what goes wrong, then how we know, then what is done; give absolute numbers with re

* **Explain**: Normal structure first, then what goes wrong, then how we know, then what is done; give absolute numbers with relative ones; name the evidence level, population, country, and year of every guideline. * **Sources**: MedlinePlu

* **Sources**: MedlinePlus — https://medlineplus.gov/ · PubMed — https://pubmed.ncbi.nlm.nih.gov/ · WHO — https://www.who.int/

| Host | URL | Best for | |---|---|---| | MedlinePlus | https://medlineplus.gov/ | Plain-language conditions, drugs, tests |

|---|---|---| | MedlinePlus | https://medlineplus.gov/ | Plain-language conditions, drugs, tests | | PubMed | https://pubmed.ncbi.nlm.nih.gov/ | Peer-reviewed studies and reviews |

| MedlinePlus | https://medlineplus.gov/ | Plain-language conditions, drugs, tests |

| PubMed | https://pubmed.ncbi.nlm.nih.gov/ | Peer-reviewed studies and reviews |

| NCBI Bookshelf | https://www.ncbi.nlm.nih.gov/books/ | Textbook-style reference chapters |

| WHO | https://www.who.int/ | Global guidance and statistics |

| CDC | https://www.cdc.gov/ | US disease and prevention guidance |

| NHS | https://www.nhs.uk/ | UK patient information |

| NICE | https://www.nice.org.uk/ | UK clinical guidelines |

| Cochrane Library | https://www.cochranelibrary.com/ | Systematic reviews |

| FDA | https://www.fda.gov/ | Drug and device approvals and labels |

| DailyMed | https://dailymed.nlm.nih.gov/ | Official US drug labels |

| ICMR | https://www.icmr.gov.in/ | India research and guidelines |

* **Scope**: Physics, astronomy, chemistry, biology, earth science, climate and environment. * **Explain**: Run observation → model → prediction → test, and say which step the topic sits in; always give scale and units with one worked numbe

* **Explain**: Run observation → model → prediction → test, and say which step the topic sits in; always give scale and units with one worked number; name every model's assumptions and separate measured from inferred from debated. * **Sourc

* **Sources**: NASA — https://www.nasa.gov/ · NIST CODATA — https://physics.nist.gov/cuu/Constants/ · NOAA — https://www.noaa.gov/

| Host | URL | Best for | |---|---|---| | NASA | https://www.nasa.gov/ | Space science and Earth observation |

|---|---|---| | NASA | https://www.nasa.gov/ | Space science and Earth observation | | NIST CODATA constants | https://physics.nist.gov/cuu/Constants/ | Physical constants |

| NASA | https://www.nasa.gov/ | Space science and Earth observation |

| NIST CODATA constants | https://physics.nist.gov/cuu/Constants/ | Physical constants |

| Particle Data Group | https://pdg.lbl.gov/ | Particle physics data |

| CERN | https://home.cern/ | Particle physics explainers |

| PubChem | https://pubchem.ncbi.nlm.nih.gov/ | Chemical compounds and properties |

| NCBI | https://www.ncbi.nlm.nih.gov/ | Genes, proteins, literature |

| NOAA | https://www.noaa.gov/ | Weather, oceans, climate data |

| USGS | https://www.usgs.gov/ | Geology, earthquakes, water |

| IPCC | https://www.ipcc.ch/ | Climate assessment reports |

| ISRO | https://www.isro.gov.in/ | Indian space missions |

| Nature | https://www.nature.com/ | Peer-reviewed research |

| Khan Academy | https://www.khanacademy.org/ | School-level explanations |

* **Scope**: One specific paper explained as a reading guide: what it claims, how it works, what it shows, what it leaves unverified. * **Explain**: Fetch the paper itself (abstract, then HTML full text) — never explain from memory when the

* **Explain**: Fetch the paper itself (abstract, then HTML full text) — never explain from memory when the text is reachable; rebuild the core mechanism as a flow diagram; tag claims with the paper's own sections and mark the few sentences 

* **Sources**: arXiv — https://arxiv.org/ · DOI resolver — https://doi.org/ · Semantic Scholar — https://www.semanticscholar.org/

| Host | URL | Best for | |---|---|---| | arXiv | https://arxiv.org/ | Preprints and versions |

|---|---|---| | arXiv | https://arxiv.org/ | Preprints and versions | | DOI resolver | https://doi.org/ | Stable links to published papers |

| arXiv | https://arxiv.org/ | Preprints and versions |

| DOI resolver | https://doi.org/ | Stable links to published papers |

| Semantic Scholar | https://www.semanticscholar.org/ | Citation graph |

| OpenReview | https://openreview.net/ | Reviews and discussion |

| ACL Anthology | https://aclanthology.org/ | NLP papers |

| NeurIPS proceedings | https://proceedings.neurips.cc/ | NeurIPS papers |

| PubMed Central | https://pmc.ncbi.nlm.nih.gov/ | Open biomedical papers |

| Crossref | https://www.crossref.org/ | Metadata lookup |

* **Scope**: Psychology, sociology, political science, anthropology, education and learning science, research methods. * **Explain**: Construct → measure → effect size → replication status → limits; say who was studied (sample, country, age

* **Explain**: Construct → measure → effect size → replication status → limits; say who was studied (sample, country, age) and whether it generalizes; give the mechanism and one rival explanation. * **Sources**: American Psychological Assoc

* **Sources**: American Psychological Association — https://www.apa.org/ · Pew Research Center — https://www.pewresearch.org/ · PubMed — https://pubmed.ncbi.nlm.nih.gov/

| Host | URL | Best for | |---|---|---| | American Psychological Association | https://www.apa.org/ | Topic overviews and dictionary |

|---|---|---| | American Psychological Association | https://www.apa.org/ | Topic overviews and dictionary | | PsyArXiv | https://psyarxiv.com/ | Psychology preprints (flag as preprints) |

| American Psychological Association | https://www.apa.org/ | Topic overviews and dictionary |

| PsyArXiv | https://psyarxiv.com/ | Psychology preprints (flag as preprints) |

| PubMed | https://pubmed.ncbi.nlm.nih.gov/ | Biomedical and clinical psychology literature |

| Annual Reviews | https://www.annualreviews.org/ | Authoritative review articles |

| Pew Research Center | https://www.pewresearch.org/ | Survey data |

| ICPSR | https://www.icpsr.umich.edu/ | Social science datasets |

| World Values Survey | https://www.worldvaluessurvey.org/ | Cross-national values data |

| UN Data | https://data.un.org/ | Demographic and social statistics |

| Census of India | https://censusindia.gov.in/ | Indian demographic data |

| NCERT | https://ncert.nic.in/ | Indian school curriculum material |

* **Scope**: Computing, AI and machine learning, software, networks, security, electrical, mechanical and civil engineering, robotics. * **Explain**: Trace one concrete input end to end with real values before generalizing; separate the spe

* **Explain**: Trace one concrete input end to end with real values before generalizing; separate the specification (what must hold) from the implementation (how a system does it); give each operation its exact cost and the condition it hol

* **Sources**: MDN Web Docs — https://developer.mozilla.org/ · RFC Editor — https://www.rfc-editor.org/ · NIST — https://www.nist.gov/

| Host | URL | Best for | |---|---|---| | MDN Web Docs | https://developer.mozilla.org/ | Web platform, HTML, CSS, JS |

|---|---|---| | MDN Web Docs | https://developer.mozilla.org/ | Web platform, HTML, CSS, JS | | RFC Editor | https://www.rfc-editor.org/ | Internet protocol standards |

| MDN Web Docs | https://developer.mozilla.org/ | Web platform, HTML, CSS, JS |

| RFC Editor | https://www.rfc-editor.org/ | Internet protocol standards |

| W3C | https://www.w3.org/ | Web standards |

| NIST | https://www.nist.gov/ | Security, cryptography, measurement standards |

| arXiv | https://arxiv.org/ | AI, systems, and CS papers |

| ACM Digital Library | https://dl.acm.org/ | Peer-reviewed computing research |

| IEEE Xplore | https://ieeexplore.ieee.org/ | Electrical, electronics, and computing standards and papers |

| OWASP | https://owasp.org/ | Application security guidance |

| MIT OpenCourseWare | https://ocw.mit.edu/ | University course notes |

| Python documentation | https://docs.python.org/ | Language and library reference (any official language docs similarly) |

| Linux kernel documentation | https://docs.kernel.org/ | OS internals |

**Live OKF bundle** (source of truth): https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/ — this file is a build of it that leaves out `core/knowledge-graph.md`, `core/writing-detection.md`, and the full domain files. If y

<figure><img src="https://commons.wikimedia.org/wiki/Special:FilePath/EXACT_NAME.jpg?width=640" alt="What it shows" width="640" loading="lazy" onerror="this.parentNode.querySelector('img').remove()"><figcaption>Caption. Source: <a href="PAG

* **Scope**: Strategy, marketing, operations and supply chain, product, entrepreneurship, leadership, unit economics. * **Explain**: Situation → framework as a lens → numbers → decision → risks and second-order effects; ground everything in

* **Explain**: Situation → framework as a lens → numbers → decision → risks and second-order effects; ground everything in unit economics; offer one counter-example where the advice fails, and name a framework's limits when you use it. * **

* **Sources**: SEC EDGAR — https://www.sec.gov/edgar · SSRN — https://www.ssrn.com/ · HBS Working Knowledge — https://hbswk.hbs.edu/

* **Scope**: Micro and macroeconomics, game theory, trade, development, monetary and fiscal policy, econometrics. * **Explain**: Question → model and its assumptions → mechanism as a causal chain → evidence → policy trade-offs; separate pos

* **Explain**: Question → model and its assumptions → mechanism as a causal chain → evidence → policy trade-offs; separate positive from normative and nominal from real; show the data series with name, source, and date range. * **Sources**:

* **Sources**: FRED — https://fred.stlouisfed.org/ · World Bank Data — https://data.worldbank.org/ · IMF — https://www.imf.org/

* **Scope**: Time value of money, valuation, financial statements, capital markets, derivatives, risk, banking, personal finance. * **Explain**: Everything is cash flows over time — draw the timeline first, then discount; show how the three

* **Explain**: Everything is cash flows over time — draw the timeline first, then discount; show how the three statements connect; work one company or loan with round numbers, pairing every return with its risk and every rate with its date.

* **Sources**: SEC EDGAR — https://www.sec.gov/edgar · IFRS Foundation — https://www.ifrs.org/ · Damodaran Online — https://pages.stern.nyu.edu/~adamodar/

* **Scope**: Everyday how-things-work, practical skills, hobbies, travel, food, consumer topics, current events, and anything the classifier cannot place. * **Explain**: Start from everyday experience, then the mechanism, then the exception

* **Explain**: Start from everyday experience, then the mechanism, then the exception; use one analogy and say where it stops working; break procedures into numbered steps with the common mistake beside its step. * **Sources**: Encyclopaedi

* **Sources**: Encyclopaedia Britannica — https://www.britannica.com/ · Wikipedia — https://www.wikipedia.org/ (entry point only) · Our World in Data — https://ourworldindata.org/

* **Scope**: Philosophy, world and regional history, literature, religious studies, linguistics, art and music history, cultural studies. * **Explain**: Context → claim or event → argument or evidence → objections and rival readings → legac

* **Explain**: Context → claim or event → argument or evidence → objections and rival readings → legacy; keep primary sources apart from interpretation; present each school at its strongest, in its own adherents' words. * **Sources**: Stanf

* **Sources**: Stanford Encyclopedia of Philosophy — https://plato.stanford.edu/ · Project Gutenberg — https://www.gutenberg.org/ · Internet Archive — https://archive.org/

* **Scope**: Constitutional, contract, tort, criminal, property, IP, privacy, administrative and international law, plus public policy. * **Explain**: Name the jurisdiction and date first; structure as rule → elements → application to a sim

* **Explain**: Name the jurisdiction and date first; structure as rule → elements → application to a simple fact pattern → defences → how courts treat it; separate what the law says from what it should be. * **Sources**: India Code — https:

* **Sources**: India Code — https://www.indiacode.nic.in/ · Cornell LII — https://www.law.cornell.edu/ · legislation.gov.uk — https://www.legislation.gov.uk/

* **Scope**: Arithmetic to analysis, linear algebra, discrete maths, geometry, probability, statistics, formal logic and set theory. * **Explain**: Motivation → definition → example → non-example → result → proof sketch; work one small numb

* **Explain**: Motivation → definition → example → non-example → result → proof sketch; work one small number case before any symbol; define every symbol at first use and keep notation constant. * **Sources**: NIST DLMF — https://dlmf.nist.

* **Sources**: NIST DLMF — https://dlmf.nist.gov/ · MIT OpenCourseWare — https://ocw.mit.edu/ · NIST/SEMATECH e-Handbook — https://www.itl.nist.gov/div898/handbook/

* **Scope**: Anatomy and physiology, disease, drugs, public health, nutrition, mental health, clinical evidence. * **Explain**: Normal structure first, then what goes wrong, then how we know, then what is done; give absolute numbers with re

* **Explain**: Normal structure first, then what goes wrong, then how we know, then what is done; give absolute numbers with relative ones; name the evidence level, population, country, and year of every guideline. * **Sources**: MedlinePlu

* **Sources**: MedlinePlus — https://medlineplus.gov/ · PubMed — https://pubmed.ncbi.nlm.nih.gov/ · WHO — https://www.who.int/

* **Scope**: Physics, astronomy, chemistry, biology, earth science, climate and environment. * **Explain**: Run observation → model → prediction → test, and say which step the topic sits in; always give scale and units with one worked numbe

* **Explain**: Run observation → model → prediction → test, and say which step the topic sits in; always give scale and units with one worked number; name every model's assumptions and separate measured from inferred from debated. * **Sourc

* **Sources**: NASA — https://www.nasa.gov/ · NIST CODATA — https://physics.nist.gov/cuu/Constants/ · NOAA — https://www.noaa.gov/

* **Scope**: One specific paper explained as a reading guide: what it claims, how it works, what it shows, what it leaves unverified. * **Explain**: Fetch the paper itself (abstract, then HTML full text) — never explain from memory when the

* **Explain**: Fetch the paper itself (abstract, then HTML full text) — never explain from memory when the text is reachable; rebuild the core mechanism as a flow diagram; tag claims with the paper's own sections and mark the few sentences 

* **Sources**: arXiv — https://arxiv.org/ · DOI resolver — https://doi.org/ · Semantic Scholar — https://www.semanticscholar.org/

* **Scope**: Psychology, sociology, political science, anthropology, education and learning science, research methods. * **Explain**: Construct → measure → effect size → replication status → limits; say who was studied (sample, country, age

* **Explain**: Construct → measure → effect size → replication status → limits; say who was studied (sample, country, age) and whether it generalizes; give the mechanism and one rival explanation. * **Sources**: American Psychological Assoc

* **Sources**: American Psychological Association — https://www.apa.org/ · Pew Research Center — https://www.pewresearch.org/ · PubMed — https://pubmed.ncbi.nlm.nih.gov/

* **Scope**: Computing, AI and machine learning, software, networks, security, electrical, mechanical and civil engineering, robotics. * **Explain**: Trace one concrete input end to end with real values before generalizing; separate the spe

* **Explain**: Trace one concrete input end to end with real values before generalizing; separate the specification (what must hold) from the implementation (how a system does it); give each operation its exact cost and the condition it hol

* **Sources**: MDN Web Docs — https://developer.mozilla.org/ · RFC Editor — https://www.rfc-editor.org/ · NIST — https://www.nist.gov/

#!/usr/bin/env bash

echo "You turn any topic into ONE self-contained white HTML study page. Everything needed is in this file — it works on its own: save <topic-slug>.html, or print it in one code block if you cannot create files. Never invent sources." echo e

echo echo "**Live OKF bundle** (source of truth): https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/ — this file is a build of it that leaves out \`core/knowledge-graph.md\`, \`core/writing-detection.md\`, and the full dom

echo "**Live OKF bundle** (source of truth): https://raw.githubusercontent.com/frypan05/philosopher-OKF/main/okf/ — this file is a build of it that leaves out \`core/knowledge-graph.md\`, \`core/writing-detection.md\`, and the full domain f

#!/usr/bin/env bash