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
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add gooseworks-ai/goose-skills --skill event-prospecting-pipelinegit clone --depth 1 https://github.com/gooseworks-ai/goose-skillsWrote 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/event-prospecting-pipeline)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/event-prospecting-pipeline"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/event-prospecting-pipeline/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/event-prospecting-pipeline"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/event-prospecting-pipeline.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 | $0.00024 | $0.00540 |
| Opus 5 | $0.00012 | $0.00270 |
| Sonnet 5 | $0.00005 | $0.00108 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
event-prospecting-pipeline 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Event Prospecting Pipeline
End-to-end workflow: find event attendees → research → qualify against ICP → deduplicate → outreach.
When to Use
- "Find leads from [event name/URL]"
- "Who's speaking at [conference]? Get me their contact info"
- "Find AI events in SF and get me decision-maker contacts"
- "Find leads from upcoming conferences and launch outreach"
For Luma-only qualified lead gen with built-in Google Sheets + Slack alerting, use [[skills/composites/get-qualified-leads-from-luma/SKILL.md]] instead. This playbook is the full pipeline including outreach.
Steps
1. Find Attendees / Speakers
Skills: luma-event-attendees OR conference-speaker-scraper
- If user provides a Luma event URL or topic → use
luma-event-attendees - If user provides a conference website → use
conference-speaker-scraper - If user provides a topic/location → use
luma-event-attendeesApify search mode to find events first
Output: Person list with names, bios, LinkedIn/Twitter URLs, companies.
2. Research & Enrich
Capability: Web search
For each person/company:
- Company funding stage, size, product
- Person's current role and seniority
- Recent news or activity
Skip if user just wants a raw attendee list.
3. Qualify Against ICP
Skill: lead-qualification
Filter the enriched list against the client's ICP criteria. Score each lead.
4. Find Decision-Maker Contacts
Skill: company-contact-finder
For qualified companies, find the specific decision-makers with email addresses.
5. Deduplicate
Skill: contact-cache
Check all leads against the contact cache to prevent duplicate outreach across strategies.
6. Output Results
Capability: Google Sheets or CSV export
Export qualified, deduplicated leads with columns: Name, Title, Company, LinkedIn URL, Email, Signal, Score.
7. Launch Outreach (optional)
Skill: cold-email-outreach
If approved, set up personalized outreach via your chosen outreach tool or direct email via AgentMail API (agentmail.dev).
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 · 70 lines · 24 tokens per session scan A 42f93eeb5ef2
event-prospecting-pipeline is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 24 tokens to every session and 540 once invoked, about $0.0001 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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