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 launch-positioning-buildergit 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/launch-positioning-builder)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/launch-positioning-builder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/launch-positioning-builder/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/launch-positioning-builder"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/launch-positioning-builder.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 | $0.00080 | $0.01954 |
| Opus 5 | $0.00040 | $0.00977 |
| Sonnet 5 | $0.00016 | $0.00391 |
| Haiku 4.5 | $0.00008 | $0.00195 |
Grade A, and why
launch-positioning-builder 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 — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch Positioning Builder
Research the competitive landscape and produce a complete positioning document — category definition, differentiation claims, value props, proof points, and messaging hierarchy. Output is directly usable in website copy, sales decks, and investor materials.
Built for: First PMM hire at a seed/Series A startup, or a founder wearing the product marketing hat. The output should be opinionated, not a generic template.
When to Use
- "Help me position [product] against [competitors]"
- "We need a positioning doc before our launch"
- "How should we differentiate from [competitor]?"
- "Rewrite our positioning — it's too generic"
- "What category should we create or own?"
Phase 0: Intake
- Product name + URL — What are you positioning?
- One-sentence pitch — How do you describe what you do today?
- Top 2-3 competitors — Names + URLs. Who does your buyer compare you to?
- ICP — Title, company type, stage (e.g., "Head of Growth at Series A B2B SaaS")
- Key differentiators — What do you believe makes you different? (even if not yet articulated)
- Existing proof points — Customer wins, metrics, logos, quotes (anything you have)
- Positioning trigger — Why now? (new launch, competitive pressure, rebrand, entering new segment)
Phase 1: Competitive Landscape Research
1A: Competitor Website Analysis
For each competitor, research and extract:
Search: "[competitor name]" site:[competitor-url]
Search: "[competitor name]" positioning OR "we help" OR "the only"
Fetch: competitor homepage, pricing page, about page
Extract from each competitor:
- Tagline / hero copy — their primary claim
- Category language — what category do they put themselves in?
- Key differentiators — what do they emphasize?
- Proof points — customer logos, metrics, case studies
- Pricing model — free trial, freemium, enterprise, usage-based
- Target audience language — who do they say they serve?
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 · 262 lines · 80 tokens per session scan A fe3389a88df5
launch-positioning-builder is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 80 tokens to every session and 1,954 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.
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