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: icp-website-audit
description: >
End-to-end website audit through ICP eyes. Builds synthetic personas (if they don't
already exist), runs a structured scorecard review of the client's site, then runs
a head-to-head competitive comparison against top competitors. Produces a single
consolidated report with persona feedback, competitive positioning, and prioritized
recommendations. The complete "how do our buyers actually experience our site vs
the competition?" workflow.
tags: [research]The complete "how do buyers experience our site vs the competition?" workflow. Chains persona building, website evaluation, and competitive comparison into a single end-to-end audit.
Run an ICP website audit for [company]. Site: [url]. Compare against [competitor 1] and [competitor 2].
With existing personas:
Run an ICP website audit for [client]. Personas already exist. Compare against [competitor urls].
| Input | Required | Source |
|---|---|---|
| Company name | Yes | User provides |
| Company URL | Yes | User provides |
| Competitor URLs | Yes (1-3) | User provides, or discovered in Phase 1 |
| Client context file | Optional | clients/<client>/context.md |
| Existing personas | Optional | clients/<client>/personas/personas.json |
Check if personas already exist:
clients/<client>/personas/personas.json
If personas exist: Load them, confirm they look current, and list them for the user. Skip to Phase 2.
If no personas exist: Run buyer-persona-generator:
clients/<client>/personas/Output from this phase:
clients/<client>/personas/personas.json (machine-readable)clients/<client>/personas/personas.md (human-readable)clients/<client>/personas/segments.md (summary table)Run icp-website-audit in scorecard mode against the client's own site.
Output from this phase:
Run icp-website-audit in head-to-head mode against each competitor.
For each competitor (1-3):
Output from this phase:
Merge all findings into a single audit report. This is the deliverable.
Synthesis work:
Save to the current working directory as icp-website-audit.md (or user-specified path).
Also save the sub-reports to the current working directory:
personas/ (persona assets, reusable)icp-reviews/<date>-scorecard.md (site review)icp-reviews/<date>-head-to-head-<competitor>.md (per competitor)# ICP Website Audit: [Company Name]
**Date:** [Date]
**Website:** [url]
**Competitors:** [competitor 1], [competitor 2], [competitor 3]
**Personas used:** [N] (from `clients/<client>/personas/`)
---
## Executive Summary
[5-7 sentences. How do buyers actually experience this site? What's working, what's
broken, where are competitors winning? Top 3 things to fix and why.]
### Scorecard Overview
**Average score across personas: [X/10]**
| Persona | Segment | Own Site Score | Would Convert? |
|---------|---------|:-:|:-:|
| [Name] | [Segment] | [X/10] | [Yes/Maybe/No] |
| ... | ... | ... | ... |
### Competitive Overview
| Persona | Own Site | [Comp 1] | [Comp 2] | Pick |
|---------|:-------:|:--------:|:--------:|:----:|
| [Name] | [X/10] | [X/10] | [X/10] | [Winner] |
| ... | ... | ... | ... | ... |
**Personas at risk:** [Names of personas who preferred a competitor — these represent ICP segments you may be losing]
---
## Part 1: ICP Segments & Personas
### Segments Identified
| # | Segment | Description | Priority |
|---|---------|-------------|----------|
| 1 | [Name] | [One line] | Primary |
| 2 | [Name] | [One line] | Primary |
| 3 | [Name] | [One line] | Secondary |
| ... | | | |
### Persona Summaries
[2-3 sentence summary of each persona — who they are, what they care about, how they evaluate. Link to full profiles in `personas/personas.md`.]
---
## Part 2: Website Scorecard
### Score Matrix
| Dimension | [P1] | [P2] | [P3] | [P4] | [P5] | Avg |
|-----------|:----:|:----:|:----:|:----:|:----:|:---:|
| First Impression | | | | | | |
| Messaging Relevance | | | | | | |
| Trust & Credibility | | | | | | |
| Clarity & Navigation | | | | | | |
| Objection Handling | | | | | | |
| **Overall** | | | | | | |
### Persona-by-Persona Highlights
For each persona, include:
- **[Persona Name]** ([Score]/10) — [One sentence summary]. Liked: [key positive]. Frustrated by: [key negative]. Blocker: [#1 thing stopping conversion].
### Cross-Persona Findings
#### Consensus Issues (All Personas)
1. [Issue] — [Why it matters]
2. ...
#### Segment-Specific Gaps
| Gap | Personas Affected | Impact |
|-----|------------------|--------|
| [Gap] | [Names] | [H/M/L] |
#### Messaging Disconnects
| Site says | Buyers say | Personas |
|-----------|-----------|----------|
| "[quote]" | "[quote]" | [Names] |
---
## Part 3: Competitive Analysis
### vs [Competitor 1]
**Overall: [Company wins / Competitor wins / Split]**
| Dimension | [Company] | [Competitor] | Winner |
|-----------|:---------:|:------------:|:------:|
| First Impression | [avg] | [avg] | |
| Messaging | [avg] | [avg] | |
| Trust | [avg] | [avg] | |
| Clarity | [avg] | [avg] | |
| Objections | [avg] | [avg] | |
| **Overall** | **[avg]** | **[avg]** | |
**Where competitor wins:**
- [Specific advantage, which personas care]
**Where we win:**
- [Specific advantage, which personas care]
**Personas who'd choose competitor:** [Names — these are at-risk segments]
---
### vs [Competitor 2]
[Same structure]
---
### Competitive Position Map
| Persona | Best Experience | Worst Experience | Notes |
|---------|:-:|:-:|---|
| [P1] | [Company/Comp] | [Company/Comp] | [Why] |
| [P2] | ... | ... | ... |
### At-Risk Segments
[Personas who preferred competitors. For each: which competitor, why, and what it would take to win them back.]
### Competitive Advantages to Amplify
[Things the company does better than ALL competitors — lean into these.]
### Gaps to Close
[Things competitors do better across most personas — neutralize these.]
---
## Part 4: Prioritized Recommendations
### Tier 1: High Impact, Do Now
These affect the most personas and/or address competitive gaps.
1. **[Recommendation]**
- **Why:** [Evidence from scorecard + competitive analysis]
- **Personas affected:** [Names]
- **Competitive context:** [Do competitors already do this better?]
- **Expected impact:** [What changes — conversion, trust, clarity]
- **Effort:** [Low/Med/High]
2. **[Recommendation]**
...
### Tier 2: Medium Impact, Plan For
3. **[Recommendation]**
...
### Tier 3: Segment-Specific Optimizations
These improve experience for specific ICP segments.
5. **[Recommendation]** — For [persona/segment]
...
### Quick Wins
- [Small change] → Benefits [persona]
- [Small change] → Benefits [persona]
---
## Appendix
### A. Full Persona Profiles
→ `clients/<client>/personas/personas.md`
### B. Detailed Scorecard Review
→ `clients/<client>/icp-reviews/<date>-scorecard.md`
### C. Detailed Competitive Reviews
→ `clients/<client>/icp-reviews/<date>-head-to-head-<competitor>.md`
### D. Persona Data (JSON)
→ `clients/<client>/personas/personas.json`
Some phases can run in parallel to save time:
Phase 1: Build personas (if needed)
↓
Phase 2 + Phase 3 can partially overlap:
- Crawl all sites (client + competitors) at once
- Run scorecard first (client site only)
- Then run head-to-heads (reuse client crawl data)
↓
Phase 4: Consolidate (needs all prior phases)
If personas already exist, the whole workflow is just:
Crawl all sites → Scorecard → Head-to-heads → Consolidate
content-asset-creator to make it into a polished HTML report.buyer-persona-generator, icp-website-auditFree — no paid APIs. All research and evaluation is done via web search and web fetch.
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