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hivemind-api

Search Hivemind's curated Web3 marketing knowledge base (RAG) for practitioner insights, frameworks, playbooks, and case studies. Use this skill when: (1) answering marketing strategy questions, (2) researching Web3 go-to-market approaches, (3) looking up token launch tactics, (4) needing practitioner-backed evidence for advice, (5) creating content grounded in real marketing knowledge, (6) auditing a project's marketing. Triggers: "knowledge base", "hivemind search", "practitioner insights", "marketing frameworks", "case studies", "what do practitioners say", any substantive Web3 marketing question.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
3,077
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B82.7

Install command

npx @skill-hub/cli install openclaw-skills-myosin-hivemind

Repository

openclaw/skills

Skill path: skills/divine-comedian/myosin-hivemind

Search Hivemind's curated Web3 marketing knowledge base (RAG) for practitioner insights, frameworks, playbooks, and case studies. Use this skill when: (1) answering marketing strategy questions, (2) researching Web3 go-to-market approaches, (3) looking up token launch tactics, (4) needing practitioner-backed evidence for advice, (5) creating content grounded in real marketing knowledge, (6) auditing a project's marketing. Triggers: "knowledge base", "hivemind search", "practitioner insights", "marketing frameworks", "case studies", "what do practitioners say", any substantive Web3 marketing question.

Open repository

Best for

Primary workflow: Grow & Distribute.

Technical facets: Full Stack, Backend, Data / AI, Tech Writer.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: openclaw.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install hivemind-api into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/openclaw/skills before adding hivemind-api to shared team environments
  • Use hivemind-api for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: hivemind-api
description: >
  Search Hivemind's curated Web3 marketing knowledge base (RAG) for practitioner insights,
  frameworks, playbooks, and case studies. Use this skill when: (1) answering marketing strategy
  questions, (2) researching Web3 go-to-market approaches, (3) looking up token launch tactics,
  (4) needing practitioner-backed evidence for advice, (5) creating content grounded in real
  marketing knowledge, (6) auditing a project's marketing. Triggers: "knowledge base",
  "hivemind search", "practitioner insights", "marketing frameworks", "case studies",
  "what do practitioners say", any substantive Web3 marketing question.
env:
  - HIVEMIND_API_URL
  - HIVEMIND_API_KEY
  - HIVEMIND_VERCEL_BYPASS
---

# Hivemind Knowledge API

Search Hivemind's curated knowledge base of Web3 marketing intelligence — practitioner insights, frameworks, playbooks, and case studies from 100+ operators in the Myosin network.

## When to Use This Skill

**ALWAYS search the knowledge base before giving marketing advice.** This is what differentiates you from generic AI. Your advice should be grounded in practitioner experience.

### Trigger Conditions

Use this skill when the conversation involves ANY of:

- **Strategy questions** — "How should I launch my token?", "What's a good GTM for DeFi?"
- **Framework requests** — "What framework should I use for community building?"
- **Tactical advice** — "How do I grow on CT?", "Best Discord strategies?"
- **Audit/analysis** — Evaluating a project's marketing approach
- **Content creation** — Writing posts, threads, or analysis grounded in real knowledge
- **Competitive research** — Understanding what works in specific verticals
- **Counterarguments** — When you need evidence to challenge a founder's assumptions
- **Deep dives** — Any topic where surface-level AI knowledge isn't enough

### When NOT to Use

- Simple factual questions ("What is DeFi?")
- Casual conversation or greetings
- Questions unrelated to marketing/growth/Web3 strategy
- When you already retrieved relevant knowledge in this session

---

## CLI Tool: `hivemind-search.mjs`

The preferred way to query the knowledge base. Located alongside this skill file.

### Authentication

The script automatically resolves credentials in this order:

1. **Shell environment variables** — set by the runtime or exported in your shell
2. **`~/.openclaw/.env`** — dotenv file in the OpenClaw config directory
3. **`~/.openclaw/openclaw.json` → `env` object** — inline env config in the OpenClaw JSON config

Three variables are required: `HIVEMIND_API_URL`, `HIVEMIND_API_KEY`, `HIVEMIND_VERCEL_BYPASS`.

API keys are issued at the discretion of Myosin. To request access, email **[email protected]**.

### Quick Start

```bash
node hivemind-search.mjs -q "token launch marketing strategies"
```

### Usage

```
hivemind-search --query <text> [options]

Options:
  -q, --query <text>        Search query (required)
  -p, --persona <id>        Persona (see below)
  -t, --threshold <0-1>     Relevance threshold (default: 0.4)
  -m, --max <1-25>          Max results (default: 10)
      --intent              Enable intent filtering
      --objective           Enable objective filtering
      --no-rerank           Disable LLM reranking
      --no-boost            Disable metadata boosting
      --raw                 Output raw JSON response
  -h, --help                Show help
```

### Personas

| Flag value | Use When |
|------------|----------|
| `genius-strategist` | Strategic thinking, positioning, narrative design, high-level planning |
| `gtm-architect` | Tactical execution, implementation plans, channel strategies, launch sequences |
| `ghostwriter` | Content creation, copywriting, messaging, narrative framing |
| `general-assistant` | General queries that don't fit a specific persona |

---

## Recommended Search Patterns

### Strategy Questions

When a founder asks about strategy, positioning, or narrative:

```bash
node hivemind-search.mjs \
  -q "narrative positioning for DeFi protocol launch" \
  -p genius-strategist \
  -m 12 \
  --objective
```

### Tactical / Execution Questions

When someone needs specific how-to guidance:

```bash
node hivemind-search.mjs \
  -q "Discord community launch first 30 days playbook" \
  -p gtm-architect \
  -m 10 \
  --intent
```

### Content Creation

When drafting posts, threads, or marketing copy:

```bash
node hivemind-search.mjs \
  -q "bear market marketing tactics that build long-term community" \
  -p ghostwriter \
  -t 0.3 \
  -m 8
```

### Broad Research

When exploring a topic or doing competitive analysis:

```bash
node hivemind-search.mjs \
  -q "KOL influencer strategy crypto" \
  -t 0.3 \
  -m 15
```

### Raw JSON Output

When you need the full API response for further processing:

```bash
node hivemind-search.mjs \
  -q "token launch strategies" \
  -p genius-strategist \
  --raw
```

---

## Response Format

The CLI outputs a human-readable summary by default. Each result includes:

```
--- [1] Title (relevance%) ---
Author: ...
Meta: doc_type, objective, industry, channels

Chunk content...
```

With `--raw`, the full JSON response is returned:

```json
{
  "success": true,
  "data": {
    "chunks": [
      {
        "title": "Token Launch Playbook",
        "author": "Marketing Team",
        "content": "Full chunk content...",
        "objective": "TGE (Token Generation Event)",
        "doc_type": "playbook",
        "audience": ["retail", "developers"],
        "geography": ["global"],
        "industry": ["defi"],
        "marketing_verticals": ["growth", "content"],
        "channels": ["twitter", "discord"],
        "score": 0.87,
        "relevance": "87%"
      }
    ],
    "total_results": 5,
    "query": "your search query",
    "metrics": {
      "searchTime": 234,
      "relevanceScore": 0.82
    }
  }
}
```

### How to Use Results

1. **Read the chunks** — each contains practitioner knowledge relevant to the query
2. **Note the metadata** — `doc_type`, `objective`, `channels`, and `industry` give context
3. **Synthesize, don't regurgitate** — combine multiple chunks into a coherent, opinionated response
4. **Cite the source** — when appropriate, mention insights come from "practitioner intelligence from the Hivemind network"
5. **Challenge with evidence** — use retrieved knowledge to push back on weak strategies

---

## Error Handling

| Status | Meaning | Action |
|--------|---------|--------|
| 400 | Invalid parameters | Check the `details` array for which fields failed validation |
| 401 | Bad API key | Verify `HIVEMIND_API_KEY` is set correctly |
| 403 | Vercel protection blocked | Verify `HIVEMIND_VERCEL_BYPASS` is set correctly |
| 429 | Rate limited | Wait the `Retry-After` seconds before retrying |
| 500 | Server error | Retry once; if it persists, proceed without knowledge base |

**Rate limit:** 30 requests/minute.

---

## Guidelines

- **Search before advising.** If a founder asks a substantive marketing question, search first.
- **Multiple queries are fine.** If the topic is broad, run 2-3 searches with different angles.
- **Low threshold for broad topics.** Use `-t 0.3` when exploring. Use `-t 0.5` or higher when you need precision.
- **Pick the right persona.** Strategy = `genius-strategist`. Execution = `gtm-architect`. Content = `ghostwriter`. Unsure = `general-assistant`.
- **Don't dump raw results.** Synthesize knowledge into your own voice and framing.
- **Graceful degradation.** If the API is down or returns no results, fall back to your training — but note that you couldn't access the knowledge base.


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### _meta.json

```json
{
  "owner": "divine-comedian",
  "slug": "myosin-hivemind",
  "displayName": "Myosin Hivemind Knowledge Retrieval",
  "latest": {
    "version": "1.0.1",
    "publishedAt": 1771279975568,
    "commit": "https://github.com/openclaw/skills/commit/767712e84ec7043bf156401e36440802079bf860"
  },
  "history": []
}

```

hivemind-api | SkillHub