Coding & DevelopmentāØgeminiš¤claudeš¬gptšuniversal
yoetz
Fast CLI-first LLM council + bundler + multimodal gateway
Quick Start
Install this Skill
npx skills add avivsinai/yoetz# yoetz <p> <img src="assets/branding/yoetz-quorum-mark.svg" alt="Yoetz quorum mark" width="96" height="96"> </p> [](https://github.com/avivsinai/yoetz/actions/workflows/ci.yml) [](https://github.com/avivsinai/yoetz/releases) [](LICENSE) [](https://www.rust-lang.org/) Fast CLI for routing code and media work through the right LLM path: direct API calls when available, multi-model councils when you need agreement, and browser recipes for web-only models such as ChatGPT Pro and Claude's Fable 5. Yoetz is built for coding agents and terminal workflows: gitignore-aware bundles, structured JSON output, reproducible session artifacts, live model resolution, local budget checks, and multimodal inputs across OpenAI, OpenRouter, Gemini, and LiteLLM-compatible backends. > Yoetz is under active development. Command behavior may change before 1.0. ## What It Does - **Bundle** repository context into prompt-ready artifacts without fighting `.gitignore`. - **Ask** one model with text, code, images, or video. - **Council** multiple models in parallel when you want independent opinions. - **Review** staged diffs or files with agent-readable output. - **Generate** images and video through providers that expose generation APIs. - **Use browser recipes** for web-only model surfaces while keeping terminal output parseable. ## Install ### Homebrew ```bash brew install avivsinai/tap/yoetz yoetz --version ``` ### Scoop ```powershell scoop bucket add avivsinai https://github.com/avivsinai/scoop-bucket scoop install yoetz yoetz --version ``` ### Prebuilt Binaries Download archives and checksums from the [latest GitHub release](https://github.com/avivsinai/yoetz/releases/latest). ```bash curl -fLO https://github.com/avivsinai/yoetz/releases/latest/download/yoetz-aarch64-apple-darwin.tar.gz curl -fLO https://github.com/avivsinai/yoetz/releases/latest/download/SHA256SUMS.txt shasum -a 256 -c SHA256SUMS.txt --ignore-missing tar xzf yoetz-aarch64-apple-darwin.tar.gz sudo mv yoetz /usr/local/bin/ ``` Release archives are published for macOS, Linux, and Windows targets. Use `sha256sum` instead of `shasum -a 256` on Linux. ### From Source ```bash cargo install --git https://github.com/avivsinai/yoetz --locked ``` ## Agent Skills Yoetz also ships an agent skill so Claude Code, Codex CLI, and compatible agent runtimes know how to call the CLI safely: resolve live model IDs, keep stdout parseable, bundle large context first, and use browser recipes intentionally. ### Codex / Claude Plugin Marketplace ```text /plugin marketplace add avivsinai/skills-marketplace /plugin install yoetz@avivsinai-marketplace ``` ### skills.sh ```bash npx skills add avivsinai/yoetz ``` ### skild.sh ```bash npx skild install @avivsinai/yoetz ``` The skill source lives at [skills/yoetz/SKILL.md](skills/yoetz/SKILL.md) and is versioned with the CLI release metadata. ## First Run Start with a command that needs no API key: ```bash yoetz bundle -p "Summarize this project" -f README.md --format json ``` Then configure at least one provider. Environment variables are enough for most users: ```bash export OPENROUTER_API_KEY=... export OPENAI_API_KEY=... export GEMINI_API_KEY=... ``` For persistent configuration: ```bash mkdir -p ~/.config/yoetz cat > ~/.config/yoetz/config.toml <<'EOF' [defaults] provider = "openrouter" # Optional after resolving a current model ID: # model = "<id from yoetz models resolve>" [providers.openrouter] base_url = "https://openrouter.ai/api/v1" api_key_env = "OPENROUTER_API_KEY" kind = "openai-compatible" EOF ``` From a source checkout, you can start from the full example instead: ```bash cp docs/config.example.toml ~/.config/yoetz/config.toml ``` Yoetz also supports `YOETZ_CONFIG_PATH`, repo-local `./yoetz.toml`, and profile overlays selected with `--config-profile <name>`. See [docs/config.example.toml](docs/config.example.toml) for the shape. Global `--timeout-secs` controls provider HTTP calls and local Cursor CLI calls, and defaults to `180`. `--allow-unknown` permits model IDs that are absent from the registry; reserve it for self-hosted models whose IDs cannot be registered. The default `models frontier` lab list is configurable with `[frontier].families`; `--all` and `--family` continue to bypass that list. `yoetz ask` writes artifacts to `~/.yoetz/sessions/<id>/` by default. Headless callers can skip that entirely with `yoetz ask --no-session` (or `[sessions] no_session = true`), and `[sessions] max_age_days` / `[sessions] max_count` prune old or excess session dirs on startup. Both are off by default, and `[sessions]` is only honored from trusted config locations, never from repo-local `./yoetz.toml`. A `max_c ... (truncated)
Repository
8stars
3forks
Details
Related Skills
More coding & development skills you might like
Reticle
Coding & DevelopmentAI agents can generate code, but still struggle to understand what they build. Reticle brings Jev-style machine-native runtime perception to web & desktop applications.
š¤claudešuniversal
1.2k
190
View
agentscope-java
Coding & DevelopmentExpert Java developer skill for AgentScope Java framework - a reactive, message-driven multi-agent system built on Project Reactor. Use when working with reactive programming, LLM integration, agent orchestration, multi-agent systems, or when the user mentions AgentScope, ReActAgent, Mono/Flux, Project Reactor, or Java agent development. Specializes in non-blocking code, tool integration, hooks, pipelines, and production-ready agent applications.
šuniversal
6.0k
1.5k
View
ospec
Coding & DevelopmentDocument-driven OSpec workflow for initialization, change/goal routing, validation, archiving, and durable project knowledge.
āØgeminiš¤claudeš¬gptšuniversal
524
34
View
misakanet-failure-memory
Coding & Developmentš A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org
š¤claudeāØļøcursoršuniversal
424
158
View