pick-gtm-stacklisted
Install: claude install-skill bowtiefunnel/bowtie-funnel-Labs
# Pick GTM Stack
## Overview
Given a GTM task or play, recommend the minimal set of tools that covers it —
selected from the Bowtie Funnel tool stack, not from training data.
**The recall dataset lives in ONE place — fetch it, never reproduce from memory:**
```
https://labs.bowtiefunnel.com/tools/tools.json
```
(Working inside the `bowtie-funnel-Labs` repo? Read `docs/tools/tools.json`
directly.) Every tool in it carries: `name`, `category` (the job it does),
`lifecycle` (the customer-lifecycle stages it serves: awareness, education,
selection, mutual commit, onboarding, retention, expansion), `workflows_used`
(how many of the 48 mapped workflows use it — proof it's battle-tested),
`description`, `what_it_does`, and `gtm_impact`. The human-readable version is
at <https://labs.bowtiefunnel.com/tools/>.
## When to use
- Designing a play and deciding which tools run it
- "What should I use for cold email / de-anon / enrichment / …?"
- Auditing an existing stack for overlap or gaps
- Scoping tooling for a client engagement
Not for: building or coding the tools themselves, or comparing vendors outside
the mapped stack (say so and fall back to research instead of inventing entries).
## Steps
1. **Classify the task.** Which lifecycle stage(s) does the play target
(awareness → expansion)? Which jobs does it need (the dataset's categories:
Sourcing & TAM, Data & Enrichment, CRM, Email Outreach, LinkedIn & Social,
Signals & De-anon, AI & LLM, Content & Design, Meetin