Everything built on top of the base OpenClaw platform. Canonical reference for what exists, where it lives, and how it works. Operational use cases and workflow playbooks live in
docs/USE-CASES-WORKFLOWS.md.
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| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| #!/usr/bin/env python3 | |
| # macOS-like pointer acceleration for libinput | |
| # Author: fufexan <mihai@fufexan.net> | |
| # Uncomment matplotlib and the plot_curve definition and call to visualize the curve | |
| # import matplotlib.pyplot as plt | |
| import sys | |
| import os |
Companion prompts for the video: OpenClaw after 50 days: 20 real workflows (honest review)
These are the actual prompts I use for each use case shown in the video. Copy-paste them into your agent and adjust for your setup. Most will work as-is or the agent will ask you clarifying questions.
Each prompt describes the intent clearly enough that the agent can figure out the implementation details. You don't need to hand-hold it through every step.
My setup: OpenClaw running on a VPS, Discord as primary interface (separate channels per workflow), Obsidian for notes (markdown-first), Coolify for self-hosted services.
| name | description |
|---|---|
read-arxiv-paper |
Read an arXiv paper from an arXiv URL by downloading the /src archive, unpacking and traversing the LaTeX project recursively, extracting key experimental tables and the main pipeline figure, and writing/overwriting a single Obsidian-compatible markdown note with YAML frontmatter. Use when asked to digest an arXiv paper. |
- arXiv URL (abs/pdf/id forms). Example (any equivalent form ok):
| { | |
| "meta": { | |
| "lastTouchedVersion": "2026.1.30", | |
| "lastTouchedAt": "2026-02-01T16:48:36.938Z" | |
| }, | |
| "wizard": { | |
| "lastRunAt": "2026-02-01T16:48:36.935Z", | |
| "lastRunVersion": "2026.1.30", | |
| "lastRunCommand": "onboard", | |
| "lastRunMode": "local" |
Esta guía a modo de learning path o roadmap pretende ayudar a las personas que deseen aprender a programar de manera autodidacta, pero que no provienen del mundo de la informática o sistemas, y por lo tanto no tienen ningún tipo de conocimiento.
Por supuesto, también puede servirle a quienes ya estén en tema.
Todo el material aquí contenido es gratuito, y en castellano.
| [ | |
| // Terminal | |
| { | |
| "context": "Workspace", | |
| "bindings": { | |
| "ctrl-/": "workspace::ToggleBottomDock" | |
| } | |
| }, | |
| // Window's navigation | |
| { |