SkillAtlasSkill 详情

tech-stack-teardown

Put your AI agent on the growth team.

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项目 README

来源文件:README.md

抓取于 2026年8月20日
CleanShot 2026-07-13 at 20 15 47@2x CleanShot 2026-07-13 at 20 16 54@2x

AI Skills for Brand Growth

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

npm version License: MIT Skills


Contents


Quick Start

AI Coding Agents (Claude Code, Cursor, Codex, etc)

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>

Claude Cowork

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

Install manually

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


Brand Growth collection

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.

StageWhat your agent can doExample skills
ResearchUnderstand the brand, customers, competitors, audiences, creators, trends, comments, and product demandbrand-research, audience-research, comment-mining, competitor-social-research, influencer-prospecting, trend-discovery, product-demand-research
AnalyzeDiagnose ads, creator profiles, transcripts, policy risk, landing-page message match, and unusual social performancecompetitor-ad-intelligence, creator-profile-teardown, transcript-intelligence, meta-ads-analyzer, meta-ad-policy-checker, ad-to-landing-page-auditor, outlier-post-finder
CreateRepurpose research, remix graphic ads, make product photography and social graphics, and animate static imagescontent-repurposing, remix-graphic-ad-from-reference, product-photoshoot, goose-graphics, animate-image
Learn and iterateBring results back into research and analysis, then decide the next testRe-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.


Commands

npx gooseworks search "reddit scraping"   # Search the skill catalog
npx gooseworks credits                     # Check your credit balance
npx gooseworks update                      # Update to latest skill version

Skills Catalog

200+ skills across the growth stack, grouped by focus area:

CategoryWhat's inside
AdsResearch, build, and analyze paid campaigns across Meta and Google
SEOKeyword research, content gaps, SERP analysis, technical audits
Lead generationFind, enrich, and qualify prospects for your pipeline
OutreachDraft, personalize, and run outbound across email and social
ContentBlog posts, social content, carousels, video scripts, newsletters
ResearchCompany, market, and prospect deep-dives
Competitive intelTrack competitor pricing, launches, positioning, and ads
MonitoringWatch for mentions, signals, and changes across the web
SocialScrape and analyze social platforms and audiences
BrandVoice, positioning, and visual brand assets

Browse and search every skill at skills.gooseworks.ai.


Usage Examples

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.


Building from Source

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

Skill Metadata Contract

Each skill directory must include:

  • SKILL.md — Skill documentation and usage guide
  • skill.meta.json — Machine-readable metadata

skill.meta.json fields:

FieldRequiredDescription
slugYesUnique kebab-case identifier
categoryYescapabilities, composites, or playbooks
tagsYesString array of category tags
installation.base_commandYesInstall command
installation.supportsYesArray: claude, codex, cursor
featuresNoFeature flags
github_urlNoSource repository URL
authorNoSkill author
example_promptNoCopyable prompt shown in the catalog and docs for trying the skill

Security & Trust

These skills run inside your coding agent, so it's worth knowing exactly what they do:

  • Open source & inspectable. Every skill — its 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.
  • Scripts run locally. Skill scripts execute on your machine and write to /tmp/gooseworks-scripts/, never into your project directory. Only API requests go through GooseWorks servers; review any script before letting your agent run it.
  • Your agent stays in control. The skills are a tool your agent reaches for when it fits the task (data at scale, sources behind auth, a specific provider) — not a replacement for its built-in web search or fetch on quick lookups. You can read or edit any installed SKILL.md to tune that behavior.
  • Credentials stay local. Auth is a Bearer token stored at ~/.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.
  • The MCP server is opt-in. Registering the GooseWorks MCP server is off by default; it only happens if you explicitly run gooseworks install --mcp.

Found something that looks off? Open an issue — we'd rather fix it in public.


License

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.

其他

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:3 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/competitive-intel/capabilities/tech-stack-teardown" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/competitive-intel/capabilities/tech-stack-teardown" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/competitive-intel/capabilities/tech-stack-teardown" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/competitive-intel/capabilities/tech-stack-teardown" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/competitive-intel/capabilities/tech-stack-teardown" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: tech-stack-teardown
description: >
  Reverse-engineer a company's sales and marketing tech stack from public signals.
  Detects CRMs, cold email tools, people databases, ad pixels, email delivery services,
  and outbound sending domains via DNS records, website source inspection, Apify technology
  profiling, blacklist checks, and public spam complaint searches. Works on single companies
  or batches. Outputs a structured markdown report per company.
tags: [competitive-intel]

Tech Stack Recon

Reverse-engineer a company's sales, marketing, and outbound infrastructure from public signals. No login, no API access to their tools needed — everything is derived from DNS records, website source code, technology profiling, blacklist databases, and public complaints.

What It Detects

CategoryTools Detected
CRMHubSpot, Salesforce (via SPF, website pixels, DNS)
Cold Email ToolsSmartlead, Instantly, Outreach, Salesloft, Lemlist (via SPF, DKIM, TXT records, website source)
People DatabasesApollo, ZoomInfo, Clearbit, 6sense (via website tracker scripts)
Email DeliverySendGrid, Amazon SES, Postmark, Mailgun, Mandrill (via SPF includes, DKIM selectors)
Email MarketingMailchimp, Brevo, ActiveCampaign, Klaviyo (via DKIM selectors)
Ad RetargetingLinkedIn Insight Tag, Facebook Pixel, AdRoll, Reddit Ads, Twitter Ads (via Apify profiler + source)
Website BuilderWebflow, Framer, Next.js, WordPress (via Apify profiler + source)
Chat / SupportIntercom, Drift, Crisp, Zendesk (via website source)
AnalyticsGoogle Analytics, Segment, Mixpanel, Amplitude, PostHog, Heap (via website source)
Outbound DomainsSeparate cold sending domains (via SPF-only Google Workspace + redirect to primary)

How It Works

The skill runs 5 layers of detection, each revealing different signals:

Layer 1: DNS Records (Free, instant)

MX     → Primary email provider (Google Workspace, Microsoft 365, etc.)
SPF    → Every service authorized to send email on their behalf
DKIM   → Cryptographic proof of which tools actually send email
DMARC  → Email authentication policy (how strict they are)
TXT    → Misc verifications (Smartlead tracking domains, tool verifications)
CNAME  → Subdomains pointing to third-party services

This is the highest-signal layer. SPF and DKIM don't lie — if SendGrid is in their SPF, they use SendGrid.

Layer 2: Website Source Inspection (Free, instant)

Fetches the target website and searches HTML for:

  • Tracking pixels (Apollo, REB2B, HubSpot, Facebook, LinkedIn)
  • Script tags loading third-party tools
  • Meta tags and framework signatures
  • Hidden form handlers and API endpoints

Layer 3: Apify Technology Profiler (Pay-per-use, ~$0.005/domain)

Runs justa/technology-profiling-engine actor for deep detection of 7,000+ technologies using 8-tier inspection with confidence scores. Catches tools that don't appear in source code (loaded dynamically, via GTM, etc.).

Layer 4: Blacklist Checks (Free, instant)

Queries 6 major DNS-based blacklists:

  • Spamhaus (zen.spamhaus.org)
  • Barracuda (b.barracudacentral.org)
  • SpamCop (bl.spamcop.net)
  • SORBS (dnsbl.sorbs.net)
  • SURBL (multi.surbl.org)
  • URIBL (black.uribl.com)

Layer 5: Public Complaint Search (Free)

Web searches for spam complaints on Trustpilot, Reddit, SpamCop forums, and general web. Also searches for the company + tool names to find public mentions of their stack.

Cost

ComponentCost
DNS queriesFree
Website source fetchFree
Blacklist checksFree
Web searchesFree
Apify Technology Profiler~$0.005 per domain

Typical costs:

ScenarioDomainsEst. Cost
Single company1~$0.005
Small batch5~$0.025
Large batch20~$0.10

Skip the Apify profiler with --no-apify for free-only analysis (DNS + source + blacklists).

Setup

1. Required

# dig (DNS lookups) — included on macOS/Linux
which dig

# curl (website source fetch) — included on macOS/Linux
which curl

# Python 3 with requests + dotenv
pip3 install requests python-dotenv

2. Optional (for Apify Technology Profiler)

# Get your token at https://console.apify.com/account/integrations
# Add to .env:
APIFY_API_TOKEN=apify_api_YOUR_TOKEN_HERE

Usage

Single Company

python3 scripts/recon.py --domains pump.co

Batch of Companies

python3 scripts/recon.py --domains "dili.ai,pump.co,runautomat.com"

Free-Only Mode (No Apify)

python3 scripts/recon.py --domains pump.co --no-apify

Output to File

python3 scripts/recon.py --domains "dili.ai,pump.co" --output /path/to/report.md

JSON Output

python3 scripts/recon.py --domains pump.co --json

What the Script Does

For each domain:

  1. DNS Scan — Queries MX, SPF, DKIM (18 common selectors), DMARC, TXT records, and 30+ common subdomains (email, tracking, click, bounce, send, smtp, mail, etc.)
  2. Website Source Scan — Fetches the homepage HTML and greps for 40+ known tool signatures (script URLs, pixel IDs, tracking domains)
  3. Apify Technology Profile (optional) — Runs deep 8-tier technology detection for 7,000+ technologies with confidence scores
  4. Blacklist Check — Queries 6 DNS-based blacklists for the domain
  5. Outbound Domain Detection — Checks if common variations of the domain exist (get[name].com, try[name].com, [name]reach.com, etc.) and analyzes their DNS for cold outbound patterns
  6. Report Generation — Produces a structured markdown report with confirmed tools, evidence, email auth assessment, blacklist status, and an overall assessment

Agent Integration

When using this skill as an agent, follow this flow:

  1. User provides one or more company domains
  2. Run recon.py for all domains (confirm Apify cost if > 5 domains)
  3. Present the report — group findings by:
    • Confirmed tools (with evidence)
    • Email authentication (SPF/DKIM/DMARC assessment)
    • Deliverability (blacklist status + spam complaints)
    • Notable signals (outbound domains, missing DMARC, SPF gaps)
  4. If batch, include a comparative summary table at the end

Agent Without the Script

The agent can perform all checks manually using built-in tools:

DNS checks — Use Bash tool:

dig +short MX example.com
dig +short TXT example.com
dig +short TXT _dmarc.example.com
dig +short TXT selector._domainkey.example.com
dig +short CNAME subdomain.example.com

Website source scan — Use Bash tool:

curl -sL https://www.example.com | grep -oi 'pattern1\|pattern2\|pattern3' | sort -u

Blacklist checks — Use Bash tool:

dig +short example.com.zen.spamhaus.org A

Apify profiler — Use Bash tool with Python:

# See scripts/recon.py for the full implementation

Spam complaints — Use WebSearch tool:

"example.com" spam OR unsolicited OR "cold email" OR blacklist

DNS Record Cheat Sheet

SPF Includes → Tool Identification

SPF IncludeTool
_spf.google.comGoogle Workspace
spf.protection.outlook.comMicrosoft 365
sendgrid.netSendGrid
amazonses.comAmazon SES
*.hubspotemail.netHubSpot
*.rsgsv.net or servers.mcsv.netMailchimp/Mandrill
spf.mandrillapp.comMandrill (Mailchimp transactional)
mail.zendesk.comZendesk
*.freshdesk.comFreshdesk
spf.mailjet.comMailjet
spf.brevo.comBrevo (Sendinblue)
_spf.salesforce.comSalesforce
mktomail.comMarketo
postmarkapp.comPostmark
mailgun.orgMailgun

DKIM Selectors → Tool Identification

Selector PatternTool
google._domainkeyGoogle Workspace
selector1._domainkey / selector2._domainkeyMicrosoft 365
s1._domainkey / s2._domainkey → *.sendgrid.netSendGrid
k1._domainkey → *.mcsv.net or dkim.mcsv.netMailchimp
k2._domainkey / k3._domainkey → dkim2.mcsv.net / dkim3.mcsv.netMailchimp
mandrill._domainkeyMandrill
pm._domainkeyPostmark
smtp._domainkeyGeneric SMTP
em._domainkeyVarious (check CNAME target)

TXT Records → Tool Identification

TXT PatternTool
open.sleadtrack.comSmartlead (custom tracking domain)
hubspot-developer-verification=*HubSpot
anthropic-domain-verification-*Anthropic (Claude)
MS=*Microsoft 365
google-site-verification=*Google Search Console
slack-domain-verification=*Slack
atlassian-domain-verification=*Atlassian (Jira/Confluence)
docusign=*DocuSign
facebook-domain-verification=*Facebook/Meta
_github-pages-challenge-*GitHub Pages
stripe-verification=*Stripe

Website Source Patterns → Tool Identification

Pattern in HTMLTool
assets.apollo.io/micro/website-trackerApollo.io (visitor tracking)
hs-script or js.hs-scripts.comHubSpot
px.ads.linkedin.comLinkedIn Insight Tag
connect.facebook.net or fbq(Facebook Pixel
snap.licdn.comLinkedIn Insight Tag
cdn.segment.comSegment
cdn.mxpnl.com or mixpanelMixpanel
cdn.amplitude.comAmplitude
app.posthog.com or posthogPostHog
widget.intercom.ioIntercom
js.driftt.comDrift
client.crisp.chatCrisp
static.zdassets.comZendesk
s3-us-west-2.amazonaws.com + reb2bREB2B
clearbit.com/tag.js or revealClearbit Reveal
6sc.co or 6sense6sense
tag.demandbase.comDemandbase
d.adroll.comAdRoll
googletagmanager.comGoogle Tag Manager
gtag('config', 'G-*')Google Analytics 4

Cold Outbound Domain Patterns

A separate domain is being used for cold email if it has:

  • Google Workspace MX (or similar) but no product/marketing email tools in SPF
  • SPF that only includes _spf.google.com (sending from raw mailboxes)
  • A 301/302 redirect to the company's primary domain
  • No website content of its own
  • Domain name follows patterns like: [brand]reach.com, get[brand].com, try[brand].com, meet[brand].com, [brand]hq.com

DMARC Assessment Guide

PolicyMeaningAssessment
p=rejectReject unauthenticated emailStrong — best practice
p=quarantineSend to spam if unauthenticatedGood — enforcing
p=noneMonitor only, don't enforceWeak — anyone can spoof the domain
No DMARC recordNo policy at allMissing — wide open to spoofing

Troubleshooting

"No tools detected"

  • The company may be very early-stage with minimal tooling
  • Some tools (like Apollo used only for prospecting, not sending) leave no DNS trace
  • LinkedIn Sales Navigator, Clay enrichment, and similar tools don't leave public signals
  • Try the Apify profiler if you only ran free-only mode

"SPF has Google only but they use Smartlead/Instantly"

  • This is normal. Smartlead and Instantly typically connect to Google Workspace mailboxes via SMTP and send through Google — so SPF passes via Google's include. The cold email tool itself doesn't need its own SPF entry.
  • Look for Smartlead's open.sleadtrack.com in TXT records or website source as confirmation.

"Apify profiler timed out"

  • Some sites take longer to load. The profiler has a 3-minute timeout.
  • Retry once. If it fails again, rely on DNS + source code analysis.

"artisan.ai resolves but redirects to Afternic"

  • The domain is parked/for sale. Check common alternatives: .co, .com, .io.
  • Wildcard DNS (all subdomains resolve to the same IP) is a sign of a parked domain.

Links

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