Agent skill · Code Review & Quality

company-current-gtm-analysis

Comprehensive GTM analysis of any target company. Researches what a company is currently doing across all go-to-market dimensions — content/blog, founder LinkedIn activity, SEO/traffic, hiring signals, social/community presence, customer acquisition channels, podcast appearances, review sites, competitive positioning, and partnerships. Produces a structured report identifying what's working, what's missing, and where white space exists for new strategies. Use before designing GTM strategies for a client or prospect.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill company-current-gtm-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 17 KB
Bundled scripts: none
Path: skills/competitive-intel/composites/company-current-gtm-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 1. If a client con

What's inside
Steps it walks through
  1. Quick Start
  2. Inputs
  3. Step-by-Step Process
  4. Phase 1: Load Context
  5. Phase 2: Data Collection (Run in Parallel)
  6. Phase 3: Synthesize & Score
  7. Phase 4: Generate Output
  8. Tips
  9. Dependencies
Ships with 1 file
  • skill.meta.json
Commands it runs
python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
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About this skill
What does the company-current-gtm-analysis skill do?

Comprehensive GTM analysis of any target company. Researches what a company is currently doing across all go-to-market dimensions — content/blog, founder LinkedIn activity, SEO/traffic, hiring signals, social/community presence, customer acquisition channels, podcast appearances, review sites, competitive positioning, and partnerships. Produces a structured report identifying what's working, what's missing, and where white space exists for new strategies. Use before designing GTM strategies for a client or prospect.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill company-current-gtm-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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