Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Qordinate - Durable lists, facts, and reminders for OpenClaw agents.
Qordinate is a chat-native assistant that acts as structured memory for your OpenClaw agents. Use this skill when you want your OpenClaw agent to offload long-term facts, tasks, and reminders into Qordinate over WhatsApp, Telegram, or Slack instead of managing its own database.
skill openclawclawhub Free
Qordinate is a chat-native assistant that acts as structured memory for your OpenClaw agents. Use this skill when you want your OpenClaw agent to offload long-term facts, tasks, and reminders into Qordinate over WhatsApp, Telegram, or Slack instead of managing its own database.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.0.2
Provenance
- Publisher
- SinghCoder
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Qordinate - AI-Native Memory & Productivity for OpenClaw Agents
Qordinate is an AI agent platform that becomes durable, structured memory and productivity infrastructure for your users and agents. Instead of your OpenClaw agent trying to keep all state in its own scratchpad or a custom DB, it can connect to Qordinate via MCP (Model Context Protocol) and use the Qordinate AI agent to: Store and retrieve documents (notes, files, PDFs) Manage contacts (people, companies, leads) Maintain lists and tasks with statuses, due dates, and reminders Search the web for up-to-date information Interact with connected apps the user has linked to Qordinate Create and manage forms and collect submissions Set up automations that run on schedules or triggers The agent talks to Qordinate's AI agent through a single powerful tool — query_agent — using natural language.
Connection Details
FieldValueProtocolMCP (Model Context Protocol) — Streamable HTTPMCP Server URLhttps://api.qordinate.ai/mcpAuth MethodBearer token — Authorization: Bearer qk_YOUR_API_KEYAPI Key FormatPrefixed with qk_
User Setup (what the agent should tell the user once)
Before the agent can connect, the user needs a Qordinate account and an API key: Sign up at https://app.qordinate.ai using their phone number + OTP Go to Profile → API Keys → New API Key to create an API key Give the API key (starts with qk_) to the agent The API key is shown only once at creation time. The user can set an expiry (1–365 days) or leave it non-expiring.
MCP Tool: query_agent
Qordinate's MCP server exposes one tool — query_agent — which is a natural-language interface to the full Qordinate AI agent. The agent has access to the user's documents, contacts, lists, web search, and all connected apps.
Input Schema
ParameterTypeRequiredDescriptionquerystring✅Your question or request for the Qordinate agentsession_idstring❌Optional session ID for multi-turn conversations
How to use session_id
Omit session_id for standalone queries To have a multi-turn conversation, capture the session ID from the first response and pass it in subsequent calls This lets the Qordinate agent maintain context across multiple queries
What the agent can do through query_agent
The query_agent tool invokes the full Qordinate AI agent, which can do everything a user interacting directly with Qordinate can do:
Structured Memory (Lists & Tasks)
Create, update, and query lists (tasks, contacts, leads, projects, resources, etc.) Set due dates, statuses, and reminders on list items Qordinate manages reminders and notifications over time
Documents
Create, read, update, and delete documents Upload and retrieve files (PDFs, images, etc.) Share documents with other users
Contacts
Store and retrieve contact information Import contacts (including VCF format) Search contacts by name, company, role, etc.
Web Search
Search the web for current information The agent can ask Qordinate to research topics and return results
Connected Apps
Interact with third-party apps the user has connected to Qordinate Query data from connected services
Forms & Automations
Create forms and collect submissions Set up automations that trigger on schedules or events
Example Interactions
Your OpenClaw agent sends these as the query parameter to query_agent:
Managing tasks
Add a new task: Follow up with ACME about the reorder pilot, due next Tuesday 3pm, status todo, notes: important client meeting
Storing contacts
Save a new contact: Harpinder Singh, Co-founder at qordinate.ai, building Qordinate
Querying information
Show me all my open tasks due this week
Searching the web
Search the web for the latest pricing of OpenAI GPT-4o API
Working with documents
Create a new document titled "Meeting Notes - ACME Q1 Review" with the following content: ...
Updating items
Mark the task "Follow up with ACME" as done
How the agent should think about Qordinate
Treat Qordinate as the source of truth for "what needs doing" and "who is who" across time Offload anything the user will care about later — don't keep it in ephemeral memory Use natural language — the query_agent tool understands plain English requests Use session_id for related queries — if you're doing a multi-step workflow (e.g., "list tasks" then "mark task X as done"), use the same session_id Be specific — include list names, field values, dates, and context in your queries
User Channels (optional, for the user)
Users can also interact with Qordinate directly on their preferred messaging platform. This is independent of the agent's MCP connection: WhatsApp: connect via https://qordinate.ai/whatsapp Telegram: connect via https://qordinate.ai/telegram Slack: connect via https://qordinate.ai/slack Everything the user does on these channels is reflected in the same account the agent accesses via MCP — they share the same data.
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md