Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/gooseworks-ai/goose-skillsnpx agentmods add skills/gooseworks-ai/goose-skills/company-current-gtm-analysisWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/gooseworks-ai/goose-skills/company-current-gtm-analysis)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/company-current-gtm-analysis"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/company-current-gtm-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/company-current-gtm-analysis"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/company-current-gtm-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.03972 |
| Opus 5 | $0.00050 | $0.01986 |
| Sonnet 5 | $0.00020 | $0.00794 |
| Haiku 4.5 | $0.00010 | $0.00397 |
Grade A, and why
company-current-gtm-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 480 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Company Current GTM Analysis
Deep-research agent skill that produces a comprehensive analysis of what a target company is currently doing across all go-to-market dimensions. The output identifies what's working, what's missing, and where white space exists — so you can design strategies that fill genuine gaps rather than duplicating what they already do.
Quick Start
Run a GTM analysis for <company>. Website: <url>. Founder LinkedIn profiles: <urls>.
Or if a client context file already exists:
Run a GTM analysis for <client>. Use the context at clients/<client>/context.md.
Inputs
| Input | Required | Source |
|---|---|---|
| Company name | Yes | User provides or read from clients/<client>/context.md |
| Company website | Yes | User provides or read from context |
| Founder/exec LinkedIn URLs | Recommended | User provides, or search web for "[founder name] LinkedIn" |
| Known competitors | Optional | Improves competitive positioning section |
| Client context file | Optional | clients/<client>/context.md — if exists, use for ICP, positioning, etc. |
Step-by-Step Process
Phase 1: Load Context
-
If a client context file exists at
clients/<client>/context.md, read it for:- Company overview, founders, product, pricing
- Known competitors, customers, market positioning
- Any existing research or intelligence
-
If no context file exists, gather basics from the user:
- Company name, website URL
- Founder names and LinkedIn URLs (if known)
- Industry/category
- Known competitors (if any)
-
Create the output directory in the current working directory (or user-specified path).
Phase 2: Data Collection (Run in Parallel)
Run as many of these research threads as possible in parallel. Each thread is independent.
2A. Blog & Content Strategy
Goal: Understand their content strategy — topics, frequency, types, target audience, gaps.
- Fetch the blog page:
- WebFetch
<website>/blog— extract all visible post titles, dates, categories, authors - If no
/blog, try/resources,/insights,/news,/articles - Note: Many sites are JS-rendered. If WebFetch returns empty content, fall back to WebSearch:
site:<website> blog
- WebFetch
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 480 lines · 100 tokens per session scan A 8cff27ed0ebf
company-current-gtm-analysis is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 100 tokens to every session and 3,972 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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