hivemind

name

hivemind

description

Use when the user needs any marketing, brand, strategy, or go-to-market work — whether that's thinking (strategy, positioning, research) or output (copy, plans, frameworks). Covers brand strategy, marketing strategy, positioning, competitive analysis, messaging frameworks, value propositions, ICP and audience definition, segmentation, category design, launch plans, campaign calendars, channel strategy, funnel design, budget allocation, KPI frameworks, content roadmaps, landing page copy, ad copy (Google/Meta/LinkedIn), email sequences, social threads, taglines, headlines, CTAs, product naming, and onboarding text. Also use when searching a curated marketing knowledge base for frameworks, playbooks, or source-grounded research, and when creating, polling, or updating Hivemind projects to attach company context to future calls.

Hivemind

Hivemind is a RAG-powered marketing AI with four specialist personas and a curated knowledge base. This skill exposes three APIs:

• Chat (hivemind) — send a prompt to a persona, get a response, list resumable conversations, or run the chat health check.
• Knowledge search (hivemind-search) — RAG retrieval without the LLM layer.
• Projects (hivemind-project) — list/create/poll/update projects used as chat context.

All three scripts auto-load credentials from ~/.config/hivemind/env (chmod 600). Never echo or log API keys.

Heads up: project auto-scoping. If HIVEMIND_PROJECT_ID is set in the env file, every hivemind chat and hivemind-search call attaches it by default, which can cause personas to refuse prompts that don't match the project's scope. Pass --no-project on an individual call to bypass the env default, or --project <uuid> to switch to a different project for that call. Project scope only affects chat context — hivemind-search corpus is global regardless.

Script paths

The scripts live inside this plugin. Resolve them relative to this skill directory:

Tool	Relative path
hivemind	scripts/hivemind
hivemind-search	scripts/hivemind-search
hivemind-project	scripts/hivemind-project

Claude Code and Codex may install the plugin in different locations, so avoid relying on a Claude-specific environment variable when resolving paths. Examples below use short names (hivemind, hivemind-search, hivemind-project) for readability. If the user also installed the CLIs on their PATH via install.sh, the short names work directly in a terminal.

Picking a Persona

Persona	CLI alias	Use for
ghostwriter	ghostwriter	Writing copy: headlines, CTAs, taglines, landing pages, ad copy, emails, onboarding text, product descriptions
genius-strategist	strategist	Strategy: positioning, market analysis, competitive intel, messaging frameworks, value propositions, audience segmentation
gtm-architect	gtm	Tactics: launch plans, channel strategy, campaign calendars, funnels, budget allocation, KPI frameworks
general-assistant	general	General marketing questions that don't fit the other three

Decision rules:

• "Write / draft / rewrite ..." → ghostwriter
• "Analyze / evaluate / position / compare ..." → strategist
• "Plan / launch / campaign / roadmap ..." → gtm
• Multi-step work (e.g., positioning + copy): call strategist first, then feed its output into ghostwriter.
• If you're unsure, omit --persona — the API auto-classifies intent.

For the full decision tree, see references/personas.md.

Chat — Primary Workflow

# Auto-classify persona
hivemind chat "Write 3 headlines for a B2B SaaS landing page targeting CTOs"

# Force persona
hivemind chat --persona ghostwriter "Draft a Twitter thread about our launch"
hivemind chat --persona strategist "Analyze positioning vs Vercel and Netlify"
hivemind chat --persona gtm        "Build a Q2 launch plan for an API product"

# Attach a project for extra context (pulls social + intel reports server-side)
hivemind chat --persona strategist --project <uuid> "How should we respond to the competitor launch?"

# Bypass the default project from HIVEMIND_PROJECT_ID for one call
hivemind chat --no-project --persona ghostwriter "Unscoped copy request"

# Pipe long prompts via stdin (max 8000 chars)
cat brief.md | hivemind chat --persona ghostwriter

# Stream tokens for long outputs
hivemind chat --stream --persona gtm "Give me a full 90-day launch runbook"

# Full JSON including sources
hivemind chat --persona strategist --json "What positioning framework works for dev tools?"

# List conversation IDs you can resume with --conversation-id
hivemind conversations

# Health check (no auth required)
hivemind health

Conversations (persistent context): only needed when you want Hivemind to remember prior turns across CLI invocations. To discover existing resumable conversations for the current key, use hivemind conversations. Requires a user-attributed key and --project. See references/examples.md.

Prompt Best Practices

Give Hivemind full context — it performs materially better with structured input than with one-liners:

1. Product context — what it does, who it's for, pricing tier
2. Current state — what exists now (copy, strategy, plan) so it can improve rather than start from scratch
3. The problem — why current isn't working (data if available)
4. Deliverables — explicit list with format/length requirements
5. Audience — who will see this, what they already know, where they come from
6. Constraints — tone, voice, length, brand guidelines, budget, timeline, must-haves/must-avoids

Pipe long briefs via stdin rather than cramming into a single argument.

Knowledge Search

Use when you want source-grounded snippets without an LLM rewrite — e.g. "what does Hivemind's knowledge base say about ICP definition?".

# Simple
hivemind-search "product launch best practices"

# Persona-targeted (2-pass retrieval) + higher threshold
hivemind-search --persona strategist --threshold 0.5 --max 15 "competitive positioning frameworks"

# Full JSON (chunks with metadata)
hivemind-search --json "email subject line openings" | jq

Key flags (see hivemind-search --help for all):

• --threshold 0.0-1.0 — relevance cutoff (0.4 default; raise for tighter matches)
• --max 1-25 — result count cap
• --persona ID — enables persona-specific 2-pass ranking
• --no-rerank — skip LLM reranking (faster, cheaper, lower quality)

Knowledge search is not filtered by --project — the corpus is global. --project only gates endpoint access for project-scoped keys.

Projects

Projects are containers for company context that Hivemind pulls into chat prompts (social media reports, intelligence reports). Create once, reuse via --project <id>.

# Create — returns immediately, enrichment runs async in the background
hivemind-project create \
  --url https://example.com \
  --name "My Project" \
  --description "A SaaS platform for..." \
  --stage launch \
  --type "SaaS,AI / ML"

# Poll until enrichment completes (or fails)
hivemind-project wait <project-id>

# List accessible projects
hivemind-project list

# Fetch current state
hivemind-project get <project-id>

# Patch fields (strict schema — unknown fields return 400)
hivemind-project update <project-id> \
  --stage growth \
  --audiences "developers,enterprise"

# Clear a field
hivemind-project update <project-id> --clear legal_considerations
hivemind-project update <project-id> --clear-list audiences

Creating / updating projects requires a user-attributed API key. Unattributed (legacy) keys can only get.

Handling Errors

All three CLIs exit non-zero on failure and print the error code + message to stderr. Common cases:

Error	Meaning	What to do
invalid_key / missing_api_key	Key wrong or missing	Check ~/.config/hivemind/env; request a new key if revoked
rate_limited (429)	Per-minute window exceeded	Wait Retry-After seconds (printed in response)
monthly_quota_exceeded (429)	Monthly cap hit	Wait for 1st-of-month reset or request a cap increase
project_access_denied (403)	Key isn't attributed to the project's owner	Verify the right key/project pairing
validation_error (400)	Bad input	Read the details array; each entry names the field + reason
text_too_long (400)	Prompt > 8000 chars	Shorten or summarize; split into multiple requests

Full error reference: references/errors.md.

Quota Awareness

Default monthly caps per key: 100 chat, 200 search, 10 project creates, 50 project updates. If you're running multiple agents against the same key, note that every successful call consumes a quota unit — keep usage intentional.

References

• references/api-reference.md — full request/response schemas, headers, streaming protocol
• references/personas.md — extended persona guide + prompt archetypes
• references/errors.md — every error code with remediation
• references/examples.md — end-to-end workflows (multi-step, streaming parser, project + chat)

Requesting an API Key

Users without a key should fill out the request form:

https://myosin.typeform.com/api-request

Approval is typically one business day. Keys are shown only once — save immediately.