Agent skill

Company Current Gtm Analysis

by gooseworks-ai in gooseworks-ai/goose-skills

Comprehensive GTM analysis of any target company. An agent skill from gooseworks-ai/goose-skills.

MITAuto-check passedMarketing & SEO

Install Company Current Gtm Analysis

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill company-current-gtm-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills company-current-gtm-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/competitive-intel/composites/company-current-gtm-analysis .claude/skills/company-current-gtm-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
company-current-gtm-analysis
GitHub stars
1.2k
Used in
1 other repo
Token cost
~4.3k tokens
SKILL.md length
1,554 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Comprehensive GTM analysis of any target company. An agent skill from gooseworks-ai/goose-skills.

  • Works in 4 steps: Load Context → Data Collection (Run in Parallel) → Synthesize & Score → …
  • Tasks that involve Go-to-market strategy
  • SKILL.md covers Quick Start, Inputs, Step-by-Step Process and Tips, plus 1 more section
  • Calls python3; reaches similarweb.com; needs APIFY_API_TOKEN

What it does

Company Current Gtm Analysis is an agent skill from gooseworks-ai/goose-skills. 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…

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Marketing & SEO, covering Go-to-market strategy. It works with LinkedIn. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Go-to-market strategy

Example prompts

  • “s working, what”
  • “/company-current-gtm-analysis”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Load Context
  2. Data Collection (Run in Parallel)
  3. Synthesize & Score
  4. Generate Output

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • similarweb.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • APIFY_API_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Company Current Gtm Analysis loads about 4.3k tokens when it runs. Until then it costs about 138 tokens; SKILL.md has 1,554 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~138
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,554 words, ~4,310 tokens.

Download SKILL.mdSave it as .claude/skills/company-current-gtm-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
company-current-gtm-analysis
description
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.

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

InputRequiredSource
Company nameYesUser provides or read from clients/<client>/context.md
Company websiteYesUser provides or read from context
Founder/exec LinkedIn URLsRecommendedUser provides, or search web for "[founder name] LinkedIn"
Known competitorsOptionalImproves competitive positioning section
Client context fileOptionalclients/<client>/context.md — if exists, use for ICP, positioning, etc.

Step-by-Step Process

Phase 1: Load Context
  1. 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
  2. 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)
  3. 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.

  1. 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
  2. Catalog content types:

    • Product updates / changelogs
    • Comparison / "vs" / "alternative" pages
    • How-to guides / tutorials
    • Case studies / customer stories
    • Thought leadership / opinions
    • Industry reports / data
    • SEO-optimized list posts ("Best X tools for Y")
  3. Assess content strategy:

    • Publishing frequency (daily/weekly/monthly/sporadic)
    • Author diversity (one person vs. team vs. guest contributors)
    • Content depth (shallow SEO vs. deep expertise)
    • Funnel coverage (top/mid/bottom)
    • Downloadable assets (ebooks, whitepapers, calculators)
    • Video content (embedded, YouTube channel)
  4. Check for comparison/vs pages:

    • WebSearch: site:<website> vs OR alternative OR compare
    • Catalog which competitors they compare against
    • Note which competitors are MISSING from their comparison content
2B. Founder/Exec LinkedIn Activity

Goal: Understand founder thought leadership presence, posting frequency, engagement, topics.

Requires: Founder LinkedIn profile URLs. If not provided, search: "<founder name>" LinkedIn <company>

  1. Scrape recent posts:

    bash
    python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
      --profiles "<comma-separated LinkedIn URLs>" \
      --max-posts 20 --days 90 --output json
  2. Analyze the posts:

    • Posting frequency (daily/weekly/monthly/rarely)
    • Content type breakdown: original posts vs. reposts vs. articles
    • Topics covered (product, industry, personal, hiring, culture)
    • Average engagement (likes, comments, shares)
    • Top-performing posts and why they worked
    • Whether they engage in comments (reply to commenters)
  3. Assess thought leadership posture:

    • Are founders positioned as industry voices or just company operators?
    • Is there a personal brand beyond the company?
    • Are they engaging with industry influencers?
2C. SEO & Web Traffic

Goal: Estimate traffic, identify traffic sources, assess SEO investment level.

  1. Get traffic data:

    • WebSearch: <website> traffic site visitors similarweb
    • WebFetch: https://www.similarweb.com/website/<domain>/ (may or may not return data)
    • Look for: monthly visits, bounce rate, pages/visit, traffic sources, top countries
  2. Assess keyword strategy:

    • WebSearch: site:<website> to see indexed pages
    • Check for programmatic SEO (template pages like "find [role] in [city]")
    • Check for competitor keyword targeting ("alternative to X", "X vs Y")
    • Identify keywords they likely rank for based on blog content
  3. Check for paid advertising:

    • WebSearch: <company name> and <category> tool — note if ads appear
    • Look for Google Ads, LinkedIn Ads, or Facebook Pixel on their site
  4. Assess SEO maturity:

    • Content volume (how many blog posts / pages)
    • Keyword sophistication (broad terms vs. long-tail vs. competitor terms)
    • Programmatic SEO presence
    • Backlink signals (guest posts, press mentions, directory listings)
2D. Hiring & Team Signals

Goal: Understand team composition, growth trajectory, and strategic priorities from hiring patterns.

  1. Check careers page:

    • WebFetch: <website>/careers or <website>/jobs
    • If JS-rendered, WebSearch: <company> careers open positions <current year>
    • Also check: Glassdoor, LinkedIn Jobs, Greenhouse (boards.greenhouse.io/<company>), Lever (jobs.lever.co/<company>)
  2. Catalog open roles by department:

    • Engineering (what kind — ML, backend, frontend, infra, data)
    • Product / Design
    • Sales / Business Development
    • Marketing / Content / Growth
    • Customer Success / Support
    • Operations / Finance / People
    • Recruiting (hiring recruiters = aggressive growth mode)
  3. Interpret the signals:

    • Heavy engineering hiring = product-led, building moat
    • First sales hires = transitioning from PLG to sales-assisted
    • Marketing hires = investing in brand/demand gen
    • CS hires = customer base growing, retention focus
    • Recruiting hires = expecting rapid overall headcount growth
    • Senior/VP hires = building leadership layer, moving upmarket
  4. Note key people:

    • Recent senior hires (VP+) and their backgrounds
    • Team size and growth trajectory
    • Notable talent signals (where are they hiring from?)
2E. Social Media & Community Presence

Goal: Map their presence and activity level across every relevant channel.

  1. Twitter/X:

    • WebSearch: <company> Twitter OR X.com
    • Find their handle, follower count, posting frequency
    • What do they post? (Product updates, industry commentary, engagement with community)
  2. Reddit:

    • WebSearch: "<company name>" OR "<product name>" site:reddit.com
    • What are people saying? Positive/negative/neutral?
    • Is the company team actively engaging in threads?
  3. YouTube:

    • WebSearch: <company> OR <product> YouTube channel
    • Do they have a channel? How many subscribers? What content?
    • Are there third-party reviews/tutorials?
  4. Product Hunt:

    • WebSearch: <company> OR <product> site:producthunt.com
    • Did they launch? When? How did it perform?
  5. Slack/Discord Communities:

    • WebSearch: <company> community Slack OR Discord
    • Do they run their own community? Are they active in industry communities?
  6. Overall assessment: Rate each channel as Active / Present but Inactive / Absent

Show full SKILL.md (670 more words)Show less
2F. Customer Acquisition & Reviews

Goal: Understand how they get customers and what customers think.

  1. Review sites:

    • WebSearch: <company> OR <product> review G2 Capterra <current year>
    • WebFetch G2/Capterra pages if URLs are findable
    • Note: rating, review count, common praise, common complaints
    • Optional: use review-site-scraper skill for detailed extraction
  2. Customer logos and case studies:

    • WebFetch: <website>/customers or <website>/case-studies
    • WebSearch: <company> case study OR testimonial OR customer story
    • Note which customer segments they showcase
  3. Partnerships and integrations:

    • WebFetch: <website>/integrations or <website>/partners
    • WebSearch: <company> partner program OR integration marketplace
    • Note: ATS/CRM integrations, reseller programs, co-marketing partnerships
  4. Referral/affiliate programs:

    • WebSearch: <company> referral program OR affiliate program
    • Check website footer/navigation for referral links
  5. Paid advertising signals:

    • Check for Facebook Pixel, Google Ads tags on their site
    • Search their brand + category terms and note if ads appear
2G. Podcast & Speaking Appearances

Goal: Understand their earned media and thought leadership distribution.

  1. Search for podcast appearances:

    • WebSearch: "<founder name>" podcast interview <company>
    • WebSearch: <company> OR <product> podcast
    • Catalog: podcast name, host, topic, date
  2. Search for conference appearances:

    • WebSearch: "<founder name>" speaker conference <current year>
    • WebSearch: <company> conference talk OR keynote OR panel
  3. Search for press coverage:

    • WebSearch: <company> TechCrunch OR Forbes OR Bloomberg OR news
    • Note: Is coverage only around funding rounds, or sustained?
  4. Analyst coverage:

    • WebSearch: <company> Gartner OR Forrester OR "Josh Bersin" OR analyst
    • Are they in any industry analyst reports or evaluations?
Phase 3: Synthesize & Score

After all data collection completes, synthesize into a structured analysis.

3A. Channel-by-Channel Scorecard

Rate each GTM dimension:

DimensionGrade (A-F)Evidence
Product-Led GrowthSelf-serve, freemium, pricing
SEO / Content MarketingTraffic, keyword strategy, content depth
Social Proof / Case StudiesCustomer logos, testimonials, case studies
Review Site PresenceG2/Capterra rating, review count
Founder Thought LeadershipLinkedIn activity, podcast appearances
Paid AdvertisingGoogle Ads, social ads signals
Conference / EventsSpeaking, sponsoring, attending
Analyst CoverageGartner, Forrester, industry analysts
Referral ProgramFormal referral/affiliate mechanism
Partner / Reseller ProgramsCo-marketing, reseller, marketplace presence
Community EngagementReddit, Slack, Discord, forums
Video / YouTubeOfficial channel, tutorials, demos
Enterprise Sales MotionSales team, enterprise pricing, procurement docs
Compliance / TrustTrust center, SOC 2, compliance content
International PresenceLocalized content, non-US marketing
3B. Identify White Space

For each dimension graded C or below, document:

  • What specifically is missing
  • Why it matters for their stage/market
  • How large the opportunity is (High/Medium/Low impact)
  • How hard it would be to address (Low/Medium/High effort)
3C. Competitive Positioning Map

Document:

  • How they position themselves (tagline, value props, key differentiators)
  • Which competitors they actively compare against
  • Which competitors they DON'T compare against (gaps)
  • Their pricing strategy relative to alternatives
Phase 4: Generate Output

Save the report to the current working directory as current-gtm-analysis.md (or user-specified path) using this structure:


markdown
# <Company Name> — Comprehensive GTM & Market Presence Analysis

**Date:** <YYYY-MM-DD>
**Purpose:** Understand what <Company> is currently doing across all GTM dimensions
to identify white space for new strategies.
**Sources:** <list sources used>

---

## Executive Summary

<3-5 sentence overview. What is the company's primary GTM motion? What are they
doing well? What are the biggest gaps? What is the single most important finding?>

---

## 1. Blog & Content Strategy

### What They Publish
<Content catalog — types, topics, frequency, authors>

### Content Strategy Assessment
**Strengths:** <what's working>
**Weaknesses / White Space:** <what's missing>

---

## 2. Founder LinkedIn Activity

### <Founder Name> (Title)
**Posting frequency:** <X posts/month>
**Top post:** <title, engagement, date>
**Assessment:** <thought leadership posture>

---

## 3. SEO & Web Traffic

### Traffic Data
<Monthly visits, traffic sources, key metrics>

### SEO Strategy Assessment
<What they're doing, what's missing, programmatic SEO assessment>

---

## 4. Hiring & Team Signals

### Current State
<Team size, open roles by department>

### Key Hires
<Recent notable hires and what they signal>

### Strategic Implications
<What the hiring pattern tells us about their priorities>

---

## 5. Social Media & Community Presence

| Platform | Activity Level | Assessment |
|----------|---------------|------------|
| LinkedIn | | |
| Twitter/X | | |
| Reddit | | |
| YouTube | | |
| Product Hunt | | |
| Slack/Discord | | |

---

## 6. Podcast & Speaking Appearances

<Table of podcast appearances, conference talks, press coverage>

### Assessment
<Coverage level, which audiences they reach, gaps>

---

## 7. Review Sites & Customer Sentiment

### G2 / Capterra / TrustRadius
<Ratings, review counts, key themes>

### Sentiment Summary
**Strengths users report:** <list>
**Weaknesses users report:** <list>

---

## 8. Customer Acquisition Channels

### Currently Using
| Channel | Status | Effectiveness |
|---------|--------|--------------|
| ... | ... | ... |

### Completely Untapped
| Channel | Opportunity Size | Effort |
|---------|-----------------|--------|
| ... | ... | ... |

---

## 9. Competitive Positioning

### How They Position
<Tagline, key differentiators, pricing strategy>

### Comparison Pages
| Competitor | Comparison Exists? | Notes |
|-----------|-------------------|-------|
| ... | Yes/No | ... |

---

## 10. White Space Summary

### Critical White Space (High Impact, Act Now)
1. <Gap description, why it matters, opportunity size>
2. ...

### Significant White Space (Medium Impact, Plan For)
1. ...

### Emerging White Space (Time-Sensitive)
1. ...

---

## GTM Scorecard

| Dimension | Grade | Biggest Opportunity |
|-----------|-------|---------------------|
| Product-Led Growth | | |
| SEO / Content | | |
| Social Proof / Case Studies | | |
| Pricing Strategy | | |
| Review Sites | | |
| Founder Thought Leadership | | |
| Paid Advertising | | |
| Conference Presence | | |
| Analyst Relations | | |
| Partner Programs | | |
| Community Engagement | | |
| Video / YouTube | | |
| Enterprise Sales | | |
| Compliance Marketing | | |
| International | | |

Tips

  • Parallelize aggressively. Phases 2A through 2G are all independent — run them simultaneously to minimize total research time. Use background agents or parallel tool calls wherever possible.

  • JS-rendered sites are common. If WebFetch returns mostly CSS/JS without content, fall back to WebSearch with site:<domain> queries to discover pages.

  • Don't guess — flag unknowns. If you can't verify something (e.g., exact G2 rating), say "[NEEDS VERIFICATION]" rather than inventing data.

  • Grade relative to stage. A 10-person seed startup doesn't need analyst coverage. A $30M Series A company does. Adjust your grading to what's appropriate for their stage.

  • White space ≠ weakness. Not every gap needs to be filled. The most valuable insight is which gaps represent the highest-leverage opportunities given the company's stage, resources, and market.

  • Founder LinkedIn is usually the #1 finding. Almost every company underinvests in founder thought leadership. If the founder has a compelling story and isn't posting regularly, this is almost always the highest-ROI recommendation.

  • Check existing client workspace first. If clients/<client>/ already has research, intelligence reports, or strategy docs, read them before re-researching. Build on existing knowledge.

Dependencies

  • APIFY_API_TOKEN env var — for LinkedIn profile post scraping
  • requests (Python) — for LinkedIn scraper script
  • Web search and web fetch capabilities — for all other research
  • Optional: review-site-scraper skill for detailed G2/Capterra extraction
  • Optional: blog-feed-monitor skill for RSS-based blog analysis

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/competitive-intel/composites/company-current-gtm-analysis of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Company Current Gtm Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Works with

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Questions about Company Current Gtm Analysis

What does Company Current Gtm Analysis do?

Comprehensive GTM analysis of any target company. An agent skill from gooseworks-ai/goose-skills. Company Current Gtm Analysis is an agent skill from gooseworks-ai/goose-skills. Comprehensive GTM analysis of any target company.

When should I use Company Current Gtm Analysis?

Company Current Gtm Analysis fits situations like: tasks that involve Go-to-market strategy.

How do I install Company Current Gtm Analysis in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill company-current-gtm-analysis -a claude-code`. Or copy the skill folder (skills/competitive-intel/composites/company-current-gtm-analysis in gooseworks-ai/goose-skills) into .claude/skills/company-current-gtm-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Company Current Gtm Analysis in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill company-current-gtm-analysis -a codex`. Or copy the skill folder (skills/competitive-intel/composites/company-current-gtm-analysis in gooseworks-ai/goose-skills) into .agents/skills/company-current-gtm-analysis in your project. Codex loads it when a task matches its description.

Can I use Company Current Gtm Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill company-current-gtm-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/company-current-gtm-analysis, .gemini/skills/company-current-gtm-analysis, .github/skills/company-current-gtm-analysis and .opencode/skills/company-current-gtm-analysis in your project.

What does Company Current Gtm Analysis need to run?

Going by SKILL.md and its folder, Company Current Gtm Analysis needs the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3.

Does Company Current Gtm Analysis access the network?

SKILL.md names 1 domain. In commands or code: similarweb.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Company Current Gtm Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Company Current Gtm Analysis use?

Company Current Gtm Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Company Current Gtm Analysis use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Company Current Gtm Analysis?

Skills that share tags, products or a category with Company Current Gtm Analysis: B2b Brand Marketing (arnabbagxd/Brand-building-skills, 729 stars), Gtm Foundations (GTM-Strategist/gtm-strategist-skills, 264 stars), Qualify Leads (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars) and Gtm Motions (phuryn/pm-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Company Current Gtm Analysis?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.