data_analysis
High-performance data analysis using Polars - load, transform, aggregate, visualize and…
OpenLoomi entrypoint for skill-only agent runtimes without a plugin mechanism. Use when the user mentions OpenLoomi or Loomi, wants first-use setup guidance, wants to use local OpenLoomi memory, connectors, Loop, knowledge base, RAG search, or asks how to install OpenLoomi
$ npx -y skills add melandlabs/openloomi --skill openloomi --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/openloomiContext preview
The summary Claude sees to decide when to auto-load this skill.
OpenLoomi entrypoint for skill-only agent runtimes without a plugin mechanism. Use when the user mentions OpenLoomi or Loomi, wants first-use setup guidance, wants to use local OpenLoomi memory, connectors, Loop, knowledge base, RAG search, or asks how to install OpenLoomi
name: openloomi description: "OpenLoomi entrypoint for skill-only agent runtimes without a plugin mechanism. Use when the user mentions OpenLoomi or Loomi, wants first-use setup guidance, wants to use local OpenLoomi memory, connectors, Loop, knowledge base, RAG search, or asks how to install OpenLoomi skills in runtimes such as WorkBuddy or other skill-capable agents."
Use this skill as the front door for OpenLoomi in agents that can load skills but do not support OpenLoomi plugins.
OpenLoomi remains the runtime owner. The desktop app owns memory storage, connector credentials, Loop execution, model/provider settings, local API routes, and secret handling. Skills only explain how to route work into that local runtime.
When readiness is unknown, start with `openloomi-setup`. It guides the user through installing or opening OpenLoomi Desktop, confirming the local API, and finishing the session/token setup. Do not ask the user to paste API keys, OAuth tokens, connector secrets, or OpenLoomi auth tokens into chat.
Use the narrow OpenLoomi skill that matches the task:
| User intent | Use | | --- | --- | | First-use setup, install guidance, readiness checks | `openloomi-setup` | | Search memory, knowledge base, documents, insights | `openloomi-memory` | | Connect platforms, list accounts, check connector status, send replies | `openloomi-connectors` | | Use third-party OAuth apps such as Slack, Gmail, GitHub, Notion, Linear, or Jira | `composio`, paired with `openloomi-connectors` | | Inspect Loop state, run a tick, manage decisions, preferences, channels, or rules | `openloomi-loop` | | List active Goals or inspect ordered Goal progress | `openloomi-goals` | | Answer backend route, local API, auth, RAG, integrations, or workspace questions | `openloomi-api` | | Explain OpenLoomi concepts, product capabilities, or user workflows | `openloomi-feature-guide` |
Use these examples to route common requests without reimplementing OpenLoomi logic in the agent:
use `openloomi-memory` to search memory, knowledge base documents, or insights.
check connector/account readiness, then use `composio` for the OAuth-backed Slack action when the user asks to send or post.
relevant context, then use `composio` or connector guidance for the mail surface the user has authorized.
the authorized Notion access path, then hand useful context to `openloomi-memory` or `openloomi-api` when the user wants it saved, searched, or grounded in the local knowledge base.
platform-specific flows.
`openloomi-setup` to provide official installation and recovery guidance.
OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your attention, why it matters, and what to do next. It’s your open-source Attention Agent.
Repo: melandlabs/openloomi
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