Dashboard
Overview of your local AI assistant's assets, workspace health, and active learnings.
Skills Library
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0 Core ·0 Personal ·0 Packs
Workspace Rules
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Active in workspace contexts
Agents & Workflows
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0 Agents ·0 Workflows
Pipeline Queue
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Pending learning inputs
Active Hub Context
Environment resolution verified and initialized
Hub Path
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CLI Version
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IDE Adapters:Healthy
MCP Server:Online
Brain Pipeline Inbox
Distill captured signals into durable agent guidelines
Inbox queue is clean
Run 'chain capture' in your shell to feed real-world workspace observations into the pipeline.
Skill Design1 / 4
Write Focused, Lean Skills
Keep individual SKILL.md files highly focused on a single task. This minimizes token usage, keeps agent executions fast, and avoids context window limits during generation.
Terminal Cheat Sheet
Use these CLI commands inside your terminal to interact with the hub
Capture Learning
chain capture --event refactor --summary "Avoid nesting loops in routing handlers"
Run Validator
chain validate
Sync Local Hub
chain sync
Inspect Environment
chain status