agentflow

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Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

AI & Automation 39,227 stars 6374 forks Updated today MIT

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Skill Content

# AgentFlow ## Overview AgentFlow turns your existing Kanban board into a fully autonomous AI development pipeline. Instead of building custom orchestration infrastructure, it treats your project management tool (Asana, GitHub Projects, Linear) as a distributed state machine — tasks move through stages, AI agents read and write state via comments, and humans intervene through the same UI they already use. The result is complete pipeline observability from your phone, free crash recovery (state lives in your PM tool, not in memory), and human override at any point by dragging a card. ## When to Use This Skill - Use when you need to orchestrate multiple Claude Code workers across a full development lifecycle (build, review, test, integrate) - Use when you want deterministic quality gates (tsc/eslint/tests) before AI review on AI-generated code - Use when you want full pipeline visibility from your Kanban board or phone - Use when running a solo or team project that needs autonomous task dispatch with cost tracking - Use when you need crash-proof orchestration that survives session restarts ## Core Concepts ### 7-Stage Kanban Pipeline Tasks flow through: Backlog, Research, Build, Review, Test, Integrate, Done. Each stage has specific gates. The Kanban board IS the orchestration layer — no separate database, no message queue, no custom infrastructure. ### Stateless Orchestrator A crontab-driven one-shot sweep runs every 15 minutes. No daemon, no session dependency. If i...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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