复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
Put your AI agent on the growth team.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
Put your AI agent on the growth team.
Research customers and competitors, analyze what is working, create the next campaign, and learn from the result. Goose Skills gives Claude Code, Cursor, Codex, and other coding agents ready-to-use workflows for ads, social media, content, competitive intelligence, SEO, lead generation, and GTM.
Browse all skills at https://skills.gooseworks.ai
Works with Claude Code · Cursor · Codex
Paste this into your coding agent (Claude Code, Cursor, or Codex) and it'll set everything up:
Install the Gooseworks skills:
In the terminal, run `npx gooseworks install --all`.
Then run `npx gooseworks login` and it'll open a browser to sign in and set up the tools, then confirm it worked.
The skills can be used with /gooseworks <prompt>
Run this command in a terminal first:
npx gooseworks install --all
Then authenticate:
npx gooseworks login
Then make sure you're working inside a local folder on your machine, and then you can use the skills in Cowork like this:
Use /gooseworks skill to generate some ad creatives
Prefer to run it yourself? Use the command directly:
npx gooseworks install --all # All detected agents
This gives your coding agent access to the full catalog of 200+ skills. After installing, just ask your agent to use any skill by name.
If you want a cloud-based AI coworker that already knows all these skills and more, sign up to Gooseworks
The Brand Growth collection is a curated path through the normal Goose Skills catalog for consumer and ecommerce brand work. It is not a separate package or command: install GooseWorks once, then ask /gooseworks for the outcome you need.
| Stage | What your agent can do | Example skills |
|---|---|---|
| Research | Understand the brand, customers, competitors, audiences, creators, trends, comments, and product demand | brand-research, audience-research, comment-mining, competitor-social-research, influencer-prospecting, trend-discovery, product-demand-research |
| Analyze | Diagnose ads, creator profiles, transcripts, policy risk, landing-page message match, and unusual social performance | competitor-ad-intelligence, creator-profile-teardown, transcript-intelligence, meta-ads-analyzer, meta-ad-policy-checker, ad-to-landing-page-auditor, outlier-post-finder |
| Create | Repurpose research, remix graphic ads, make product photography and social graphics, and animate static images | content-repurposing, remix-graphic-ad-from-reference, product-photoshoot, goose-graphics, animate-image |
| Learn and iterate | Bring results back into research and analysis, then decide the next test | Re-run the relevant analysis skill with current performance and audience evidence |
ScrapeCreators powers structured public social and ad-library research behind several workflows. Signed-in GooseWorks users access it through the managed first-party proxy and do not need a separate ScrapeCreators key. The user-facing skills turn that source data into a brief, shortlist, analysis, or recommendation instead of returning raw API output.
Browse the Brand Growth collection
After installation, start with:
/gooseworks onboard me
The agent will collect the useful company context for future growth work and finish by asking what you want to do first. Existing users can skip onboarding and keep using /gooseworks exactly as they do today.
npx gooseworks search "reddit scraping" # Search the skill catalog
npx gooseworks credits # Check your credit balance
npx gooseworks update # Update to latest skill version
200+ skills across the growth stack, grouped by focus area:
| Category | What's inside |
|---|---|
| Ads | Research, build, and analyze paid campaigns across Meta and Google |
| SEO | Keyword research, content gaps, SERP analysis, technical audits |
| Lead generation | Find, enrich, and qualify prospects for your pipeline |
| Outreach | Draft, personalize, and run outbound across email and social |
| Content | Blog posts, social content, carousels, video scripts, newsletters |
| Research | Company, market, and prospect deep-dives |
| Competitive intel | Track competitor pricing, launches, positioning, and ads |
| Monitoring | Watch for mentions, signals, and changes across the web |
| Social | Scrape and analyze social platforms and audiences |
| Brand | Voice, positioning, and visual brand assets |
Browse and search every skill at skills.gooseworks.ai.
After installing, just ask your coding agent naturally:
"/gooseworks Generate static ad creatives for my brand"
"/gooseworks Use the reddit-post-finder skill to search r/startups"
"/gooseworks Use the apollo-lead-finder skill to find CTOs at AI companies"
"/gooseworks Use the competitor-intel skill to research Acme Corp"
"/gooseworks Use the goose-graphics skill to create a LinkedIn carousel about our launch"
Your agent will search the GooseWorks catalog, download the skill, and run it automatically.
git clone https://github.com/gooseworks-ai/goose-skills.git
cd goose-skills
node scripts/validate-skills.js # Validate SKILL.md + skill.meta.json contract
node scripts/build-index.js # Generate skills-index.json
node bin/goose-skills.js list # Test locally
Each skill directory must include:
SKILL.md — Skill documentation and usage guideskill.meta.json — Machine-readable metadataskill.meta.json fields:
| Field | Required | Description |
|---|---|---|
slug | Yes | Unique kebab-case identifier |
category | Yes | capabilities, composites, or playbooks |
tags | Yes | String array of category tags |
installation.base_command | Yes | Install command |
installation.supports | Yes | Array: claude, codex, cursor |
features | No | Feature flags |
github_url | No | Source repository URL |
author | No | Skill author |
example_prompt | No | Copyable prompt shown in the catalog and docs for trying the skill |
These skills run inside your coding agent, so it's worth knowing exactly what they do:
SKILL.md instructions and all scripts — lives in this repo under the MIT license. The gooseworks CLI fetches skills at runtime so recipes stay current, but the source you'd run is right here to read, diff, or pin before you run it./tmp/gooseworks-scripts/, never into your project directory. Only API requests go through GooseWorks servers; review any script before letting your agent run it.SKILL.md to tune that behavior.~/.gooseworks/credentials.json (file mode 0600). Third-party provider keys (Apify, Apollo, etc.) are held server-side — your token never touches them. All network calls are HTTPS.gooseworks install --mcp.Found something that looks off? Open an issue — we'd rather fix it in public.
MIT — see LICENSE for details.
The skill files and CLI in this repository are MIT-licensed. The GooseWorks API they connect to is a separate paid service governed by its own terms.
Built by GooseWorks
name: launch-positioning-builder
description: >
Research competitors, analyze their messaging, and generate a positioning document
with category definition, differentiation claims, value propositions, and proof points.
Chains web research, competitor site analysis, and review mining to produce a positioning
doc ready for website copy and sales deck use. Use when a product marketing team needs
to define or refresh positioning ahead of a launch, rebrand, or competitive shift.
tags: [brand]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.
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:
If competitors have G2/Capterra reviews, scan for:
Search for competitor ad copy:
Search: "[competitor name]" advertisement OR "sponsored"
Ad copy reveals what competitors believe converts — their sharpest positioning.
Build the positioning doc using April Dunford's framework adapted for early-stage:
| Approach | When to Use | Example |
|---|---|---|
| Existing category | You compete head-to-head | "CRM for startups" |
| Subcategory | You serve a niche better | "AI-native sales engagement" |
| New category | You do something genuinely different | "Revenue orchestration platform" |
Decision criteria:
What would your customer do if you didn't exist?
Map each differentiator to a customer value:
| Unique Attribute | Value to Customer | Proof Point |
|---|---|---|
| [What you have] | [Why they care] | [Evidence] |
| [What you have] | [Why they care] | [Evidence] |
| Level | Message | Use Where |
|---|---|---|
| Positioning statement | For [ICP] who [pain], [Product] is the [category] that [key differentiator]. Unlike [alternative], we [unique value]. | Internal alignment, PR |
| Primary headline | [Outcome-driven claim] | Homepage hero, ads |
| Supporting messages (3) | [Value prop 1], [Value prop 2], [Value prop 3] | Feature sections, sales deck |
| Proof line | [Metric or customer quote] | Below the fold, case studies |
Create a 2x2 positioning matrix:
[Dimension A: e.g., Ease of Use]
High
|
[You] | [Competitor A]
|
──────────────────┼──────────────────
|
[Competitor C] | [Competitor B]
|
Low
Low ──────────────────────── High
[Dimension B: e.g., Enterprise-readiness]
Choose dimensions where you win on at least one axis. Avoid dimensions where you lose on both.
# Positioning Document — [Product Name]
Created: [DATE] | Trigger: [launch/rebrand/competitive shift]
---
## Positioning Statement
For [ICP] who [pain point],
[Product] is the [category]
that [key differentiator].
Unlike [primary alternative],
we [unique value that matters to ICP].
---
## Category
**Category:** [name]
**Approach:** [Existing / Subcategory / New]
**Rationale:** [1-2 sentences on why this framing]
---
## Competitive Landscape
### Direct Competitors
| Competitor | Positioning | Strength | Weakness (your wedge) |
|-----------|-------------|----------|----------------------|
| [Name] | "[Their tagline]" | [What they do well] | [Where they fall short] |
### Alternative Solutions
- [Manual process / spreadsheet / hiring]
- [Adjacent tool category]
---
## Value Propositions
### Primary: [Headline claim]
[2-sentence explanation + proof point]
### Secondary A: [Value prop]
[2-sentence explanation + proof point]
### Secondary B: [Value prop]
[2-sentence explanation + proof point]
---
## Proof Points Library
### With Metrics
- "[Customer quote with number]" — [Source]
- [Metric]: [claim] — [evidence]
### Logos & Social Proof
- [Customer logos to feature]
- [Review platform ratings]
---
## Messaging by Audience
### [Persona 1: e.g., Founder/CEO]
- **Pain:** [What keeps them up at night]
- **Hook:** "[Message that resonates]"
- **Proof:** [Evidence they'd trust]
### [Persona 2: e.g., Head of Growth]
- **Pain:** ...
- **Hook:** ...
- **Proof:** ...
---
## Positioning Map
[2x2 matrix with chosen dimensions]
---
## Where to Deploy This Positioning
| Asset | Key Message | Priority |
|-------|------------|----------|
| Homepage hero | [Primary headline] | P0 — update now |
| Sales deck slide 2-3 | [Positioning statement] | P0 |
| LinkedIn company tagline | [One-liner] | P1 |
| Cold email opening line | [Pain hook] | P1 |
| G2 profile description | [Category + differentiator] | P2 |
---
## What We're NOT Saying
(Guardrails to keep messaging consistent)
- We don't claim to be [X] — that's [competitor]'s territory
- We don't target [segment] — outside our ICP
- We avoid the word "[buzzword]" — overused, means nothing
Save to the current working directory as positioning-[YYYY-MM-DD].md (or user-specified path).
| Component | Cost |
|---|---|
| Web research (competitor sites) | Free |
| Review mining (if using review-site-scraper) | ~$0.50-1.00 |
| All analysis and positioning | Free (LLM reasoning) |
| Total | Free — $1 |
review-site-scraper for review-based insights
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