Agent skill · Data & Analytics

tam-builder

Build and maintain a scored Total Addressable Market (TAM) using Apollo Company Search. Discovers companies matching ICP, scores fit (0-100), assigns tiers (1/2/3), and auto-builds a persona watchlist for Tier 1-2 companies using Apollo People Search (free). Outputs to CSV.

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill tam-builder --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/lead-generation/capabilities/tam-builder/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

# TAM Builder Build and maintain a scored Total Addressable Market. Uses Apollo Company Search to discover companies, scores ICP fit (0-100), assigns tiers (1/2/3), and auto-builds a persona watchlist for Tier 1-2 companies using Apollo People Search (free). **Three modes:** - **build** — First-time TAM construction from Apollo search - **refresh** — Update existing TAM: re-score, detect tier changes, deprecate stale companies - **status** — Read-only report of current TAM state ## Prerequisites ### Apollo API Key Add to `.env`: ``` APOLLO_API_KEY=your-api-key-here ``` That's it — one env var. ## Config Format Create a JSON config per client/segment: ```json { "client_name": "happy-robot", "tam_config_name": "voice-ai-midmarket", "company_filters": { "organization_num_employees_ranges": ["51,200", "201,500", "501,1000"], "q_organization_keyword_tags": ["call center", "contact center"], "organization_locations": ["United States"] }, "scoring": { "weights": { "employee_count_fit": 30, "industry_fit": 25, "funding_stage_fit": 20, "geo_fit": 15, "keyword_match": 10 }, "tier_thresholds": { "tier_1_min_score": 75, "tier_2_min_score": 50 }, "target_industries": ["Telecommunications", "Cus

What's inside
Steps it walks through
  1. Prerequisites
  2. Apollo API Key
  3. Config Format
  4. Approval Gate
  5. Pipeline: Build Mode
  6. Pipeline: Refresh Mode
  7. ICP Scoring (0-100)
  8. Deprecation Rules (refresh only)
  9. Watchlist — Persona Sync
  10. Mode Caps
  11. Apollo API Reference
  12. Output
Ships with 1 file
  • skill.meta.json
More from goose-skills
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About this skill
What does the tam-builder skill do?

Build and maintain a scored Total Addressable Market (TAM) using Apollo Company Search. Discovers companies matching ICP, scores fit (0-100), assigns tiers (1/2/3), and auto-builds a persona watchlist for Tier 1-2 companies using Apollo People Search (free). Outputs to CSV.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill tam-builder --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.

Keep going