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 linkedin-outreachgit 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/linkedin-outreach)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/linkedin-outreach"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/linkedin-outreach/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/linkedin-outreach"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/linkedin-outreach.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 | $0.00083 | $0.04242 |
| Opus 5 | $0.00042 | $0.02121 |
| Sonnet 5 | $0.00017 | $0.00848 |
| Haiku 4.5 | $0.00008 | $0.00424 |
Grade A, and why
linkedin-outreach 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 — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Outreach
The LinkedIn counterpart to cold-email-outreach. Takes qualified leads from Supabase, builds personalized LinkedIn message sequences, exports for the user's LinkedIn outreach tool, and logs everything back to Supabase.
Tool-agnostic: Asks the user which LinkedIn tool they use. All tools are CSV-import based — no API/MCP automation for LinkedIn tools (they're browser-based). Adapters handle column mapping and format differences per tool.
When to Auto-Load
Load this skill when:
- User says "LinkedIn outreach", "connect with these leads on LinkedIn", "send LinkedIn messages", "set up a LinkedIn campaign"
- An upstream skill connects with "create LinkedIn campaign" or "passes: supabase-eligible-leads" and user specifies LinkedIn
- User completes
lead-qualificationand wants to reach out via LinkedIn
Supported Outreach Tools
This skill does NOT assume a specific tool. It asks first, then adapts.
| Tool | Integration | How It Works |
|---|---|---|
| Dripify | CSV import | Generate CSV matching Dripify's import format, user uploads manually |
| Botdog | CSV import | Generate CSV with Botdog-compatible columns |
| Expandi | CSV import | Generate CSV matching Expandi import format |
| PhantomBuster | CSV import | Generate CSV for PhantomBuster LinkedIn sequences |
| Manual / Other | CSV + instructions | Export leads + messages as generic CSV, provide setup instructions |
Tool selection logic:
- Ask user in Phase 0: "Which LinkedIn outreach tool do you use?"
- Generate tool-specific import CSV based on selection
- If Other or unknown → generate generic CSV (
linkedin_url,first_name,last_name,company,title,connection_request,followup_1,followup_2,followup_3,inmail_subject,inmail_body) and ask user for their tool's import requirements
Prerequisites
Supabase
People must be stored in Supabase with the schema from tools/supabase/schema.sql. The people and outreach_log tables must exist. Run python3 tools/supabase/setup_database.py if setting up fresh.
What ships with it
8 files 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.
- skill.meta.json 257 B
- templates/sequence-templates/competitor-engagement.md 5.5 KB
- templates/sequence-templates/database-search.md 5.0 KB
- templates/sequence-templates/event-attendee.md 5.4 KB
- templates/sequence-templates/hiring-signal.md 5.8 KB
- templates/sequence-templates/kol-engagement.md 5.3 KB
- templates/sequence-templates/pain-language.md 5.0 KB
- templates/tone-presets.json 9.5 KB
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 · 424 lines · 83 tokens per session scan A 641e17dade9b
linkedin-outreach is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 83 tokens to every session and 4,242 once invoked, about $0.0004 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.
Other skills, from other repositories
sequence-architect
Design a 4-6 touch outreach cadence with channels, timing, tonal arc, and branching. Use when starting a new sequence from scratch given an ICP and offer.
icebreaker
Draft 3 distinct opening messages for a specific prospect, anchored on a why-now and a why-this-person. Use when sending a high-leverage first touch where personalization is worth the time.
sequence-doctor
Audit an outreach sequence and produce a ranked fix list. Use when reply rates are low, when you want a second opinion before sending, or when rewriting a sequence from scratch.
jargon-bingo
Score sales calls, emails, or posts on a 5x5 bingo card of cliches. Mostly for fun; quietly useful for spotting jargon-heavy patterns.
prospect-twin
Build a believable persona simulation of a prospect from their LinkedIn profile, then practice outreach against them. Use when preparing for a high-stakes outreach or call, when iterating on openers, or when testing whether a pitch lands.
cringe-translator
Translate sales-jargon-laden LinkedIn messages into what the sender actually means. Mostly for fun; occasionally educational about why a message tanked.