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.
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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
- SKILLS.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
- 1.0.0
Provenance
- Publisher
- SinghCoder
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Qordinate - Structured Memory for OpenClaw Agents
Qordinate is a chat-based assistant that becomes durable, structured memory 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: send messages to Qordinate on WhatsApp, Telegram, or Slack use a simple, structured text protocol to: store facts (preferences, flags, config) maintain lists (tasks, contacts, leads, etc.) create reminders that Qordinate will handle over time The agent talks to Qordinate exactly like a human would - via chat.
User Setup (what the agent should tell the user once)
Before the agent can rely on Qordinate, the user needs an account: Ask the user to open https://qordinate.ai in a browser Sign up by logging in with their phone number + OTP Start a chat with Qordinate on one channel: WhatsApp: connect via https://qordinate.ai/whatsapp Telegram: connect via https://qordinate.ai/telegram Slack: connect via https://qordinate.ai/slack Once that's done, your agent can start sending messages to that same chat window.
How the agent should talk to Qordinate
Qordinate is built around lists. Think of them as named buckets like tasks, contacts, leads, notes, etc. Your agent's job is to tell Qordinate, in plain language, what to add to which list, and what to fetch later. At a high level, the agent should do three things: Create list items when something important appears Update list items when the status changes Query lists when it needs context or next actions All of this can be done with natural language messages sent to Qordinate over WhatsApp / Telegram / Slack.
1. Creating items in lists
When your agent notices something that should be remembered (a follow-up, a person, a lead, a link), it should explicitly tell Qordinate what list to use and what fields matter. Example phrasings your agent can send: "Qordinate, add a new task to the tasks list: title: Follow up with ACME about the reorder pilot status: todo due: next Tuesday 3pm notes: important client meeting" "Qordinate, create a contact in the contacts list: name: Harpinder Singh company: qordinate.ai role: Co-founder notes: building Qordinate" "Qordinate, save this link in the resources list: title: OpenClaw + Qordinate integration idea url: https://example.com/post notes: inspiration for agent-to-agent coordination." Key points: Always mention the list name (tasks, contacts, etc.). Give Qordinate a title plus a few structured fields (status, due date, notes) in plain language. The agent can include where it came from (email, chat, file) so Qordinate can link back later.
How the agent should think about lists
Use different lists for different domains: tasks, contacts, leads, projects, resources, etc. Treat Qordinate as the source of truth for "what needs doing" and "who is who" across time. Whenever the agent thinks "the user will care about this later", it should create or update something in a list, not keep it in ephemeral memory. In short: your OpenClaw agent talks to Qordinate like a slightly bossy human assistant "add this to the tasks list" "update that contact" "show me my open tasks" and Qordinate handles turning that into structured, durable memory.
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
- SKILLS.md