Orchestrate AI coding workflows across intake, context, execute, and close phases.
npx skills add https://github.com/AGM1968/weave --skill weave
Please help me install this Agent Skill. Skill: weave Source: https://github.com/AGM1968/weave/tree/main/.claude/skills/weave Command: npx skills add https://github.com/AGM1968/weave --skill weave
Weave provides a graph-first orchestrator to manage end-to-end AI coding workflows across intake, context, execute, and close phases, ensuring consistent graph semantics and learnings capture.
Run weave to initialize and load the INTAKE phase for your repository.
High-intent search queries and answers about installing and using this skill.
You can orchestrate AI coding workflows using a graph-first orchestrator like weave, which coordinates intake, context, execute, and close phases. It structures software repository tasks into a task graph, managing blockers and capturing learnings across epic and task hierarchies.
Graph-first orchestration coordinates AI coding agents by enforcing a four-phase lifecycle across software repositories. It validates blockers, generates context packs, and provides routing, caching, and recovery capabilities to maintain consistent graph semantics throughout the workflow.
To generate context packs for AI coding tasks, run a graph-first orchestrator to load the INTAKE phase for your repository. The orchestrator automatically handles context pack generation and blocker validation throughout the structured task graph execution.
Yes, weave is designed specifically for software-repo projects requiring structured task graphs. It supports epic and task hierarchies, applies optional resources like scripts and references, and enforces a four-phase lifecycle with routing rules for tiered model usage.
You capture learnings across epic and task hierarchies using a graph-first orchestrator that enforces a close phase. This phase finalizes the workflow, ensuring consistent graph semantics and learning capture across the entire software repository project lifecycle.
Yes, weave supports routing rules for tiered model usage in AI workflows. It provides routing, caching, and recovery capabilities to manage AI coding agents effectively, ensuring consistent graph semantics across the intake, context, execute, and close phases.
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