amazon-q-developer-cli
✨ Agentic chat experience in your terminal. Build applications using natural language.
Install / Use
npx skills add aws/amazon-q-developer-cliInstalls into whichever agent you are using.
Amazon Q Rules
Amazon Q Developer rules
Quality Score
Category
AI & Machine LearningSupported Platforms
Our assessment of amazon-q-developer-cli
amazon-q-developer-cli scores 85/100 on our quality scale, 575th of 963 AI & Machine Learning skills we index.
Its Amazon Q Rules is 2.8 KB long, well organised into 10 sections with 2 code examples: a solid amount of guidance for an agent.
With 1,987 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so amazon-q-developer-cli is actively maintained.
- Our last check on 2026-10-21 found the source still online.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 95/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful.
- noteInstalls by piping a downloaded script into a shellline 37
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
amazon-q-developer-cli compared with similar skills
All 4 of these similar skills score higher than amazon-q-developer-cli; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| amazon-q-developer-cli (this skill)by aws | 85 | 2.0k | 2mo ago | Amazon Q Rules |
| claude-memby thedotmack | 100 | 113.6k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.3k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 91.0k | 11d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.0k | today | CLAUDE.md |
Frequently asked questions
- How do I install amazon-q-developer-cli?
- Run
npx skills add aws/amazon-q-developer-cli. The install tabs above show the steps for each supported agent. - Which AI agents does amazon-q-developer-cli work with?
- It is written for Amazon Q, as a Amazon Q Rules file. Other agents that read the same format can often use it too.
- Is amazon-q-developer-cli safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 95/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is amazon-q-developer-cli still maintained?
- The repository was last updated about 2 months ago, so amazon-q-developer-cli is actively maintained.
Skill content
View source on GitHubAmazon Q CLI
[!IMPORTANT] This open source project is no longer being actively maintained and will only receive critical security fixes. Amazon Q Developer CLI is now available as Kiro CLI, a closed-source product. For the latest features and updates, please use Kiro CLI. For issues with Kiro CLI, please report it here instead.
Installation
- macOS:
- DMG: Download now
- HomeBrew:
brew install --cask amazon-q
- Linux:
Contributing
Thank you so much for considering to contribute to Amazon Q.
Before getting started, see our contributing docs.
Prerequisites
- MacOS
- Xcode 13 or later
- Brew
1. Clone repo
git clone https://github.com/aws/amazon-q-developer-cli.git
2. Install the Rust toolchain using Rustup:
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
rustup default stable
rustup toolchain install nightly
cargo install typos-cli
3. Develop locally
- To compile and run:
cargo run --bin chat_cli. - To run tests:
cargo test. - To run lints:
cargo clippy. - To format rust files:
cargo +nightly fmt. - To run subcommands:
cargo run --bin chat_cli -- {subcommand}.- Login would then be:
cargo run --bin chat_cli -- login
- Login would then be:
Project Layout
chat_cli- theqCLI, allows users to interface with Amazon Q Developer from the command linescripts/- Contains ops and build related scriptscrates/- Contains all rust cratesdocs/- Contains technical documentation
Security
For security related concerns, see here.
Licensing
This repo is dual licensed under MIT and Apache 2.0 licenses.
Those licenses can be found here and here.
“Amazon Web Services” and all related marks, including logos, graphic designs, and service names, are trademarks or trade dress of AWS in the U.S. and other countries. AWS’s trademarks and trade dress may not be used in connection with any product or service that is not AWS’s, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits AWS.
Related Skills
claude-mem
113.6kPersistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
Agent-Reach
109.3kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
Understand-Anything
91.0kGraphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
headroom
79.0kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
