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 create-linkedin-contentgit 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/create-linkedin-content)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/create-linkedin-content"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-linkedin-content/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/create-linkedin-content"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/create-linkedin-content.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 | $0.00079 | $0.01618 |
| Opus 5 | $0.00039 | $0.00809 |
| Sonnet 5 | $0.00016 | $0.00324 |
| Haiku 4.5 | $0.00008 | $0.00162 |
Grade A, and why
create-linkedin-content 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 8d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create LinkedIn Content
Draft LinkedIn post variants that sound like a real human practitioner, not a LinkedIn thought-leader persona. Reads a voice guide the user has already generated (or prompts to create one), produces multiple framings of the same idea, and saves each variant as its own markdown file with frontmatter.
This is an agent-executed skill — the agent does the drafting and self-check inline. No Python script.
Mirrors create-x-content structurally; differences are marked ★.
Quick Start
/create-linkedin-content --brief "New open-source CLI that turns Figma files into React components. Called figma2react. Free, MIT licensed."
Or interactively:
/create-linkedin-content
Inputs
| Flag | Required | Default |
|---|---|---|
--brief |
Yes (asked interactively if missing) | — |
--variants |
No | Skill decides based on brief richness (2–5) |
--voice-guide |
No | Resolved via chain below |
--output |
No | ./content/YYYY-MM-DD-<topic-slug>/ |
--topic |
No | Derived from brief |
Voice Guide Resolution
Resolve in this order, stop at first hit:
--voice-guide <path>flag~/.goose-skills/config.json→voice_guides.linkedin~/.goose-skills/voice-guides/voice-linkedin.md(default path)- Fallback prompt — no guide found. Three options:
- (a) Paste a path to an existing guide
- (b) Run
/generate-voice-guide --platforms linkedinnow to create one (recommended) - (c) Proceed with a neutral default (warn that variants will sound generic)
LinkedIn-Specific Defaults ★
Apply these unless the voice guide explicitly says otherwise:
- Length: 150–500 words per variant (LinkedIn rewards longer than X but shorter than a blog post)
- Bullets: arrow style (
→) for workflow steps — this is LinkedIn-native - Numbered steps: emoji numbers
1️⃣ 2️⃣ 3️⃣allowed sparingly for installation/quickstart type posts - "Why this matters" beat: every post should have one — LinkedIn audiences want the so what? more explicitly than X audiences
- Hashtags: 0–2 max. Prefer zero.
- CTAs: "Link in comments" pattern is LinkedIn-native; inline links are fine too. Avoid "Follow me for more."
- Openings: more scene-setting is ok (1–2 lines of context before the hook). Unlike X, you don't have to hook-first.
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.
- 8d ago First seen · 154 lines · 79 tokens per session scan A 96d6e94211b7
create-linkedin-content is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 79 tokens to every session and 1,618 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
Article Repurposer
Takes a long-form article and repurposes it into multiple formats: tweet thread, LinkedIn post, TL;DR, and key quotes.
Blog Outline Generator
Generates a detailed, SEO-optimized blog post outline with H2/H3 structure, key points per section, and a hook.
FAQ Generator
Generates a comprehensive FAQ section for any product, API, or documentation page.
Social Post Thread Writer
Converts a blog post, idea, or document into an engaging Twitter/X or LinkedIn thread with hooks and CTAs.
Technical Blog Post Writer
Writes engaging, accurate technical blog posts targeted at developer audiences.
X Twitter Source Packet Builder
Converts reviewed X/Twitter evidence into compact source packets for research and writing workflows.