Hivemind Knowledge API for Openclaw

A specialized RAG-based search skill that connects AI agents to a curated knowledge base of Web3 marketing strategies and practitioner insights.

divine-comedian
v1.0.1
Feb 17, 2026
0
1.5k
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Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install myosin-hivemind

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install myosin-hivemind using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Hivemind Knowledge API?

The Hivemind Knowledge API is a sophisticated integration designed for Openclaw Skills that provides AI agents with access to a high-fidelity repository of Web3 marketing intelligence. Instead of relying on generic training data, this skill allows agents to query a Retrieval-Augmented Generation (RAG) backend containing frameworks, playbooks, and case studies from over 100 experienced operators in the Myosin network.

By incorporating this into your agent's workflow, you ensure that every marketing recommendation is grounded in real-world practitioner experience. This Openclaw Skills extension is essential for developers building agents that need to navigate complex topics like tokenomics, community growth, and go-to-market execution with authority and precision.

Hivemind Knowledge API Use Cases

  • Formulating comprehensive go-to-market (GTM) strategies for DeFi, NFT, and infrastructure protocols.
  • Auditing project marketing plans against practitioner-verified benchmarks and frameworks.
  • Generating high-converting content and narrative positioning using the Openclaw Skills ecosystem.
  • Conducting deep-dive research into specific Web3 growth channels like Farcaster, Discord, and Twitter.
  • Providing evidence-based counterarguments to marketing assumptions during founder consultations.

How Hivemind Knowledge API Works

  1. The AI agent identifies a trigger condition related to Web3 marketing strategy or tactical advice.
  2. The agent invokes the hivemind-search.mjs CLI tool with a specific query and optional persona flag.
  3. The skill authenticates via environment variables and queries the Myosin knowledge base.
  4. Advanced filtering for intent, objective, and metadata boosting is applied to the search results.
  5. The system performs LLM-based reranking to ensure the most relevant practitioner insights are prioritized.
  6. The agent receives the structured knowledge chunks and synthesizes them into an actionable response.

Hivemind Knowledge API Setup

To get started with this skill, you must first obtain an API key from Myosin. Once you have your credentials, configure your environment variables:

export HIVEMIND_API_URL="your_api_url"
export HIVEMIND_API_KEY="your_api_key"
export HIVEMIND_VERCEL_BYPASS="your_bypass_token"

You can then run a search query directly from the terminal to verify the installation:

node hivemind-search.mjs -q "DeFi growth strategies" -p genius-strategist

Hivemind Knowledge API Data Schema & Taxonomy

The Hivemind Knowledge API returns a structured data object that helps Openclaw Skills organize marketing intelligence effectively:

Property Type Description
title String The name of the source playbook or case study.
author String The marketing practitioner or team responsible for the insight.
objective String The specific marketing goal (e.g., TGE, Retention).
industry Array Targeted sectors like DeFi, Gaming, or DAOs.
channels Array Platforms involved, such as Discord, Telegram, or Twitter.
score Number The relevance confidence score for the Openclaw Skills query.

Hivemind Knowledge API Advanced Features

  • Persona-Based Querying: Tailor search results using specific roles like genius-strategist, gtm-architect, or ghostwriter.
  • Intent & Objective Filtering: Enable granular search parameters to find playbooks that match specific project stages.
  • LLM Reranking: Automatically re-order results based on semantic relevance to the user's current context.
  • Metadata Boosting: Prioritize insights from specific industries or marketing verticals for more accurate advice.
  • Multi-Agent Support: Designed to work seamlessly within complex Openclaw Skills orchestrations for comprehensive project analysis.

SKILL.md


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