fabro-workflow-factory

Solid

Skill for using Fabro, the open source AI coding workflow orchestrator that lets you define agent pipelines as Graphviz DOT graphs with human gates, multi-model routing, and cloud sandboxes.

AI & Automation 23 stars 5 forks Updated 1 months ago

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Quality Score: 70/100

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Frontmatter 20%
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Issue Health 10%
50
License 10%
0
Description 5%
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Skill Content

# Fabro Workflow Factory > Skill by [ara.so](https://ara.so) — Daily 2026 Skills collection. Fabro is an open source AI coding workflow orchestrator written in Rust. It lets you define agent pipelines as Graphviz DOT graphs — with branching, loops, human approval gates, multi-model routing, and cloud sandbox execution — then run them as a persistent service. You define the process; agents execute it; you intervene only where it matters. --- ## Installation ```bash # Via Claude Code (recommended) curl -fsSL https://fabro.sh/install.md | claude # Via Codex codex "$(curl -fsSL https://fabro.sh/install.md)" # Via Bash curl -fsSL https://fabro.sh/install.sh | bash ``` After installation, run one-time setup and per-project initialization: ```bash fabro install # global one-time setup cd my-project fabro init # per-project setup (creates .fabro/ config) ``` --- ## Key CLI Commands ```bash # Workflow management fabro run <workflow.dot> # execute a workflow fabro run <workflow.dot> --watch # stream live output fabro runs # list all runs fabro runs show <run-id> # inspect a specific run # Human-in-the-loop fabro approve <run-id> # approve a pending gate fabro reject <run-id> # reject / revise a pending gate # Sandbox access fabro ssh <run-id> # shell into a running sandbox fabro preview <run-id> <port> # expose a sandbox port locally # Retrospectives fabro retro <run-id> ...

Details

Author
Aradotso
Repository
Aradotso/trending-skills
Created
2 months ago
Last Updated
1 months ago
Language
N/A
License
None

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