The Problem
Developers building AI‑augmented coding assistants must recreate prompts, tool definitions, and system messages for each target product (Claude, Cursor, VS Code Agent, etc.). The effort is repetitive, error‑prone, and often undocumented, slowing integration and making behavior drift hard to control.
What This Does
The repository is a curated library of 30 000+ lines of ready‑to‑use prompts and tool‑spec JSON files for dozens of coding‑assistant products. Prompt text lives in .txt files (e.g., VSCode Agent/Prompt.txt, Cursor Prompts/Agent Prompt v1.0.txt). Tool specifications are in .json files (e.g., Cursor Prompts/Agent Tools v1.0.json, Leap.new/tools.json). Some agents include auxiliary assets such as view-thread-yaml.png or chat-titles.txt that illustrate UI expectations.
The collection is organized by product folder, making it straightforward to locate the exact prompt set for a given tool.
How To Use It
Clone the repo git clone https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git cd system-prompts-and-models-of-ai-tools Select the target agent – navigate to the folder that matches your environment, e.g. VSCode Agent/ for the Tembo VS Code extension or Cursor Prompts/ for Cursor. Copy the prompt – open the relevant .txt file and paste its contents into the agent’s “system prompt” configuration UI or API payload. Example for VS Code Agent: copy VSCode Agent/Prompt.txt into the System Prompt field of the Tembo extension. Load tool definitions – if the agent supports structured tools, import the matching .json. Example for Cursor: upload Cursor Prompts/Agent Tools v1.0.json via the Tools configuration screen. Iterate – modify the text locally, then re‑paste or re‑upload as needed. No build or runtime scripts are provided; the repo supplies static assets only.
Missing automation: The repo does not contain a CLI or make target to batch‑apply prompts, nor any .env or configuration templates. Users must perform the copy/paste steps manually or build their own wrapper.
Real‑World Use
A small SaaS team that ships a custom VS Code extension can seed its default behavior by loading VSCode Agent/claude-sonnet-4.txt as the system prompt and VSCode Agent/claude-sonnet-4.txt’s companion tool JSON (if present) into the extension’s runtime. When a developer invokes the “Generate Test” command, the LLM follows the exact instruction set defined in the prompt, reducing variability across environments.
// Example payload for Tembo’s API { "model": "claude-3-sonnet-20240229", "system_prompt": "<contents of VSCode Agent/claude-sonnet-4.txt>", "tools": "<contents of VSCode Agent/claude-sonnet-4.txt>" // if tool JSON exists }
Code Health & Issues
Medium – No CI/CD – No .github/workflows, Makefile, or other pipeline definitions; changes are not automatically linted or tested. Low – Lack of executable code – Repository consists solely of static prompt and JSON files; there is no test harness to verify prompt syntax or JSON schema. Low – Documentation gaps – Only three markdown docs (README.md, Amp/README.md, LICENSE.md). No usage guide per agent, so onboarding requires reading each prompt manually. Low – License ambiguity – LICENSE.md exists but its contents are not displayed in the analysis; verify that it matches the intended open‑source license before redistribution. Low – Potential secret leakage – Prompts sometimes embed URLs or tokens (e.g., Solana address in README.md). Review all *.txt files for accidental credential exposure before public deployment.
The Bottom Line
The repo is a valuable reference dump of ready‑made system prompts and tool definitions for a wide range of coding assistants. It saves time for teams that need consistent prompt content across products, but it provides no automation, testing, or integration scaffolding. Suitable for organizations willing to script their own ingestion pipeline or that can manually apply the prompts; less appropriate for teams expecting an out‑of‑the‑box executable package.