| #!/usr/bin/env bash | |
| # !!! This script may overwrite your current config. Don't blindly execute !!! | |
| # Script to automate Claude Code after installation | |
| # install via `npm install -g @anthropic-ai/claude-code` | |
| # Key features: | |
| # - gets the onboarding wizard out of the way | |
| # - configure API keys |
You will generate LLM-optimized documentation with concrete file references and flexible formatting.
Create documentation that allows humans and LLMs to:
| { | |
| "Bad": { | |
| "Bored": ["Indifferent", "Apathetic"], | |
| "Busy": ["Pressured", "Rushed"], | |
| "Stressed": ["Overwhelmed", "Out of control"], | |
| "Tired": ["Sleepy", "Unfocussed"] | |
| }, | |
| "Fearful": { | |
| "Scared": ["Helpless", "Frightened"], | |
| "Anxious": ["Overwhelmed", "Worried"], |
| // Claude Code is a Beta product per Anthropic's Commercial Terms of Service. | |
| // By using Claude Code, you agree that all code acceptance or rejection decisions you make, | |
| // and the associated conversations in context, constitute Feedback under Anthropic's Commercial Terms, | |
| // and may be used to improve Anthropic's products, including training models. | |
| // You are responsible for reviewing any code suggestions before use. | |
| // (c) Anthropic PBC. All rights reserved. Use is subject to Anthropic's Commercial Terms of Service (https://www.anthropic.com/legal/commercial-terms). | |
| // Version: 0.2.9 |
| { | |
| "tools": [ | |
| { | |
| "type": "function", | |
| "function": { | |
| "name": "codebase_search", | |
| "description": "Find snippets of code from the codebase most relevant to the search query.\nThis is a semantic search tool, so the query should ask for something semantically matching what is needed.\nIf it makes sense to only search in particular directories, please specify them in the target_directories field.\nUnless there is a clear reason to use your own search query, please just reuse the user's exact query with their wording.\nTheir exact wording/phrasing can often be helpful for the semantic search query. Keeping the same exact question format can also be helpful.", | |
| "parameters": { | |
| "type": "object", | |
| "properties": { |
| # train_grpo.py | |
| # | |
| # See https://github.com/willccbb/verifiers for ongoing developments | |
| # | |
| """ | |
| citation: | |
| @misc{brown2025grpodemo, | |
| title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models}, | |
| author={Brown, William}, |
| # THIS LINUX SETUP SCRIPT HAS MORPHED INTO A WHOLE PROJECT: HTTPS://OMAKUB.ORG | |
| # PLEASE CHECKOUT THAT PROJECT INSTEAD OF THIS OUTDATED SETUP SCRIPT. | |
| # | |
| # | |
| # Libraries and infrastructure | |
| sudo apt update -y | |
| sudo apt install -y \ | |
| docker.io docker-buildx \ | |
| build-essential pkg-config autoconf bison rustc cargo clang \ |
| import { useEffect, useState } from "react"; | |
| type UseTextSelectionReturn = { | |
| text: string; | |
| rects: DOMRect[]; | |
| ranges: Range[]; | |
| selection: Selection | null; | |
| }; | |
| const getRangesFromSelection = (selection: Selection): Range[] => { |
