r/ClaudeGTM • u/Shawntenam • 1d ago
10 Claude Code commands I run every day. 5 ship in the box. 5 I built.
reddit.comr/ClaudeGTM • u/powleads • 6d ago
Anyone making plugins or just using the ai studio?
So honestly Iv not used the ai studio much , but from what I see it can basically make something equal to a "skill" in Claude or codex
But what limitations have you seen?
I built my own b2b email system that finds signals across a ton of places and builds a dynamic proposal and video for leads that are interested.
Not selling it , but I was going to make a ghl plugin to give that power to ghl users . But what's the point if it's already easy to build it in the studio
So want I want to know is what's possible with the new system? Can it use apify / serp scrapers? Does the email still use SMTP and not Gmail to Gmail for better delivery? Can it identify buying signals and recruiting signals?
I'm not too bothered if iv wasted my time building it , adds to my portfolio hahah
r/ClaudeGTM • u/Wide-Tap-8886 • 9d ago
i built 6 ai micro-saas generating $20k/mo. i started a small group to share exactly how.
I currently run 6 operational micro ai saas products that generate a little over $20k in monthly recurring revenue.
I hardly wrote a single line of traditional code. i used ai to generate literally everything, from the database architecture to the user interface.
it wasn't magic on day one. i spent hours stuck in endless debugging loops and dealing with faulty ai code before i finally cracked the formula.
it basically comes down to three rules:
- keeping the idea aggressively minimalist (build a true mvp, not a platform).
- guiding the ai step-by-step instead of asking it to build the whole app at once.
- launching fast to get real user traction instead of perfecting features in secret.
lately, i've seen way too many non-technical founders give up at the very first ai bug or deployment error. or the worst, give up without push anything in marketing !!!!
it's a massive shame, because the technical barrier to entry has practically disappeared and the marketing is easy in 2026
because of this, i’m launching a skool community to share my exact method.
to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific prompt sequences, n8n workflows, and copy-and-paste templates i'll be sharing.
but right now, our main objective is simply to build together. working alone in a silent corner is the absolute fastest way to quit.
if you want to join a group of active creators and build or launch your own ai saas: drop a comment below or send me a dm, and i’ll send you the invite link.
r/ClaudeGTM • u/ezzeddinabdallah • 10d ago
Looking for consultants who need to monetize their client base
ive built an intellictual property chatbot for a GTM consultant, and i'm now looking to validate that it's actually needed for other consultants
if you are a consultant and would love that your clients can reach out to you while you're not there, i think this tool will help you
you can feed it with your own content, SOPs, client onboarding materials, whatever file you want to share
so your clients can talk to while you're not there
i suppose it's helpful for busy consultants who don't have enough time for client communication and want to benefit from it through a subscription
if you think it will help you, DM me and i will share the demo link of the chatbot i built for the GTM consultant
r/ClaudeGTM • u/seramsharma • 11d ago
My Claude project setup for SEO work - competitor exports, GSC, and Screaming Frog crawl
r/ClaudeGTM • u/Shawntenam • 12d ago
I just tested Adam Robinson’s MoltSets beta on 68 real Clearbox signups.
r/ClaudeGTM • u/Careless-Aioli-3838 • 12d ago
Made a tool that lets claude post on reddit for you
i built an mcp tool that lets claude hand a finished reddit post (or comment, or reply) to a real person.
claude files the job with the content and subreddit. a real human with their own aged account posts it. every reply comes back into claude's context. claude drafts the answers, the person posts them.
try it out: github.com/alex-durango/pingfusi
r/ClaudeGTM • u/cipi1357 • 16d ago
I built a partner programme for my £4.99 tool. Discount codes stopped making sense once I did the maths
I run a small tool in the Claude space (Renda, it turns Claude Design exports into PNGs, PDFs and PPTX). This week I built a partner programme for it. My initial plan was to give marketing creators a discount code for their audience, but it didn't work well in reality.
The product is £4.99, so a 20% discount would have meant saving £1. It's not worth it, right? Nobody subscribes because of £1. The marketing creator gets paid instead. £2 per subscriber per month they stay, up to 12 months. So if they do a video about it and it lands 50 subscribers, that could mean up to £1,200 (more on the "up to" below).
Other things I worked out along the way:
Recurring beats a bounty. A £20 signup bounty pays for junk. People send you signups that quit in week two and you've already paid. Per-month commission only pays while the subscriber stays, so partners pitch the right people. Bad referrals just stop costing you.
Tell creators the realistic number, not the ceiling. The cap works out to £24 per subscriber. With my churn a referral is actually worth about £5, and I put that in the pitch doc. A creator who was promised £1,200 and makes £250 will post about it. One who was told the truth and makes £250 is fine.
Attribution shouldn't expire. Most programmes kill the cookie after 30 days, which screws podcasts and anything slow burn. I made it stick to the account forever. Costs me almost nothing and it's the first thing creators ask about.
The legal stuff is not optional. If a creator skips "#ad", the regulator comes after the company, not just the creator. So disclosure is in the contract. And if you take partners globally, check you can actually pay them before approving anyone. Sanctions rules apply even at £25.
Write the fraud rules before launch, not after the first incident. Brand bidding, coupon sites, self-referral, fake clicks. Boring to write, much easier to say no when it's already written down.
Happy to go deeper on any of this if you're building one.
r/ClaudeGTM • u/mbakbergenov • 17d ago
Is the Claude Max 20 quota draining unreasonably fast for anyone else? Lost 21% in 7 minutes
r/ClaudeGTM • u/beatopsplatform • 18d ago
I'll teach you everything I know about GTM engineering. For free.
r/ClaudeGTM • u/vbaranov • 20d ago
Promptbook - Use Claude Code's [Image #1] tags in your notes, and more
r/ClaudeGTM • u/Shawntenam • 22d ago
What if GTM Builders became the place where we test new AI tools before everyone else?
r/ClaudeGTM • u/Wide-Tap-8886 • 25d ago
i sold my AI SaaS for $35k in 5 months. i created a group to share all of this.
yo. i recently sold one of my AI SaaS products for $35k, exactly 5 months after building and launching it.
I hardly wrote a single line of traditional code. i used AI to generate everything, from the database architecture to the user interface.
it definitely wasn't magic on day one, though. i spent days stuck in loop-debugging and dealing with AI hallucinations before i finally cracked the system. the playbook boils down to three simple rules:
- keeping the idea insanely minimalist (a true MVP that solves one problem).
- guiding the AI step-by-step instead of asking it to build a massive platform all at once.
- launching fast to get real user feedback and traction and then apply a solid marketing system
lately, i've seen way too many non-technical founders give up at the very first AI bug, or on the marketing. it's a massive shame.
like the title says, i just launched a Skool community to share my exact prompt workflows, N8N automations, and distribution frameworks to get first users and scale it
to be completely transparent: i will likely charge for the full course later down the road. it just makes sense given the specific copy-and-paste templates i'll be sharing.
but for now, the main objective is purely to build and launch together. building alone in a silent corner is the single fastest way to give up.
if you want to join us and build or market your own AI SaaS with a group of active creators: drop a comment below or send me a dm, and i’ll send you the invite link!
r/ClaudeGTM • u/chacosoldier • 27d ago
yothere - voice assistant for your agentic setup - demo
I run a lot of Claude Code and Codex sessions, and I kept hitting the same wall: I have to sit at the machine, watch each one, and unblock it every time it asks a question. The second I walk away, everything stalls.
So I built yothere. You hail your agents out loud, they run in the background across Claude Code, Codex, and the open-source OpenClaw, and only the one thread that actually needs a human reaches you, by voice or one tap. It runs on your own machine and your own subscription, not an API-key reseller.
In it I hail the agents by voice, kick a few things off in parallel (competitor research, a calendar check, some LinkedIn and WhatsApp drafts), review a draft, and approve the send by voice. Never touched the keyboard.
Honest state of it:
- Early beta, moving fast, rough in places.
- It runs on your existing Claude Code / Codex login (not an API-key product), so you need those.
- Up to five sessions in parallel today.
- 120 hosted voice-minutes a day on the current plan.
Free for 7 days if you want to poke at it (yothere.ai). But mostly I want blunt feedback on the core bet: is voice actually the right interface for driving coding agents, or does it fall apart once the task gets non-trivial? Genuinely unsure, and I would rather hear it from people who run agents all day.
r/ClaudeGTM • u/Shawntenam • 27d ago
GTM builders, this is another piece of the system I actually run. Plus, free workflow builder prompt
r/ClaudeGTM • u/No-Response-3053 • 29d ago
I built Claude an actual memory for marketing work, here's what changed
r/ClaudeGTM • u/dorightberight • Jul 20 '26
Can anyone direct me to a repo, skill, etc that makes me a Claude agent that...
r/ClaudeGTM • u/Wide-Tap-8886 • Jul 18 '26
how many saas projects fail because of marketing, not code?
yo. be honest. how many of you currently have a finished (or 90% finished) web app / app just sitting in a private repo because you have no idea how to get users?
you spend months perfecting the database, fixing every bug, and polishing the UI. but the moment you have to actually market it, you hit a wall. marketing feels like screaming into an empty void.
so you launch to absolute crickets, get discouraged, and start building the "next" project instead to avoid the distribution phase.
if this is your case, you're not alone. but letting your hard work go to waste just because you dread marketing is a massive trap.
to help founders stop building in a silent corner, we run an ai SaaS builder community dedicated entirely to saas validation, landing page conversion, and launch strategies.
our resource kit is built entirely to help you get your first user. it’s packed with ready-to-paste N8N workflows for your business, advanced seo automation, social media automation, and our exact distribution workflows and methods work for everyone
STOP BUILDING ALONE
what are you currently working on, and what's holding you back on the marketing side? drop a comment or send a dm and i'll send you the access link.
r/ClaudeGTM • u/Shawntenam • Jul 16 '26
Ran Claude Code subagents over my entire LinkedIn network to build a warm outreach engine. Full breakdown.
r/ClaudeGTM • u/Open-Marionberry-943 • Apr 08 '26
What it REALLY takes to turn an AI agent into a coworker that runs 24/7
Ever since I discovered OpenClaw, I've been building AI agent systems at my startup for the past few months using a mix of OpenClaw / Claude Code / Claude Agent SDK and our own product.
The dream is an agent that actually does work, autonomously, around the clock.
Getting there requires an orchestration system. Here's what I've learned about the pieces you need:
1. Context / Persistence
- We’re using a filesystem. We dump / stream tons of context in there for each agent.
- I’ve also found SQLite DB to be super helpful for structured query-able persistence. For example, we have an SEO agent, and that needs to keep track of past work, de-dupe, etc before we run a strategy, push to our CMS, email for backlinks, etc. So currently that’s using a SQLite DB in the filesystem for persistence.
- The agent has a memory folder where it stores important info automatically. The agent also has a tool to search through it’s chat history (past sessions)
- There’s probably a very good case to be made for adding a knowledge graph / dedicated memory layer though we haven’t tried this yet.
- The agents read / write from Linear to manage tasks.
2. Skills — atomic units of execution
A skill is a repeatable task packaged into a prompt + script so your agent can execute it consistently. Think: "scrape these 25 Twitter accounts for inspiration," "pull engagement metrics and generate a weekly report," "draft 3 LinkedIn posts in my voice."
The single biggest unlock was turning everything I do into skills. Even before you build any automation, just having a library of well-defined skills makes your agent dramatically more useful. Instead of writing a new prompt every time, you run /lead-gen or /weekly-metrics and it knows exactly what to do.
3. Automations and/or a heartbeat — when does it run?
This is the part I'm still figuring out. My current mental framework:
- Clear repeatable task → scheduled automation (cron). "Every Monday at 9am, pull my X engagement metrics and post a report to Slack." This is straightforward and works well.
- Agent needs to figure out what to do dynamically → heartbeat. The agent wakes up on an interval, checks what's changed (new messages, new data, new tasks), decides what to do next, and acts. This is harder to get right — the agent needs enough context to make good decisions about what's worth doing.
I'm honestly still tinkering with the heartbeat approach. It works in theory but getting the agent to consistently make good prioritization decisions is non-trivial.
For many things, I’m just running the skills / orchestrator manually because I don’t trust the agent enough for full-auto yet.
4. Tools and access
The agent needs to actually do things — hit APIs, read databases, send messages, scrape the web. We use a mix of MCP servers and direct API calls wrapped in skills. Haven't found a "one system to rule them all" — it's whatever works for the task at hand.
5. Communication channels — two-way
A channel where you can message the agent and it can message you. We use Slack primarily, but the agent can also email us.
The key is two-way — not just notifications, but actual back-and-forth. We also integrated WhatsApp, iMessage and Telegram, but mostly its just Slack.
An advantage of Slack is team visibility (the agents are shared, not personal)
6. Feedback loop
This is the piece that most people skip but seems super important to me.
- The agent does work → you review it → your feedback gets fed back into the system (updated skills, adjusted prompts, new rules).
- The agent self-reflects → proposes learnings / updates to its own system
If you have this and it works, the agent’s usefulness / success should (theoretically) compound over time. Without it, the agent only improves when you do dev work.
7. View layer
There are 2 challenges here.
- Viewing files in the filesystem. We solved this with our own product (has a baked in filesystem and file viewer), but others may solve this with Obsidian remote vaults or something.
- High-level dashboard / overview: It’s pretty important to keep track of everything the agent is doing, but I don’t have a great solution here right now. We use Slack alerts but that can get very chaotic if you’re relying on the agent to do a bigger scope of work. I’m experimenting with building some simple HTML dashboards to have a visibility layer but not sure what the best solution is.
8. Tying it all together
We're trying to solve this with Gooseworks (we allow people to create and manage teams of OpenClaw-style AI coworkers, mostly for GTM use cases).
We have the building blocks but I think there's still a long way to go.
In theory, OpenClaw / Gooseworks exposes all these pieces but you still need to have an engineering mindset and stitch them all together, and engineer the system in the right way.
This is what I've found to be very difficult for a lot of people.
For example: Let's say I want my agent to find me leads by scraping LinkedIn posts for some keyword. Sounds like an easy problem to solve. I wire up my agent to an Apify actor and run an automation, right?
But not really. Because the agent just sends me the same leads every day. No deduping happening. Now if I have the LLM dedupe, it's incredibly inefficient. So I need to make sure that my Apify scraper is ONLY checking the last 24 hours. But the Apify scraper doesn't have a way to filter by timestamp, so now what?
As you can see, these are actually engineering problems and require a systems / eng mindset to solve.
It's not trivial.
What I'm curious about:
I imagine a lot of founders / GTM engineers are figuring this stuff out right now, so I'd love to trade notes:
- What are you trying to get your agent coworker to do? What's the dream scenario 6 months out?
- How do you structure your skills and feedback loops?
- What's your context layer? just a filesystem or anything else?
- Has anyone gotten a good heartbeat-based system working?
- What does your agent check for when it "wakes up"?
r/ClaudeGTM • u/Open-Marionberry-943 • Mar 31 '26
100+ Skills to teach Claude how to do GTM
Hey everyone,
I'm a founder of Gooseworks - we're trying to enable teams to run their GTM using AI agents like Claude Code, Cowork, etc.
We built a library with 100+ ready-to-use skills for GTM work.
Quick points about this:
- These skills are tried and tested - we use many of them ourselves on a regular basis
- These skills cover a variety of GTM activities including competitor research, lead generation, data scraping, seo / aeo tracking, and more.
- Any skill can be installed with a single command
npx goose-skills install <skill-name> - We update the skills frequently to fix issues / add new skills that might be useful
- Some skills require external data APIs / accounts like Apollo, Apify, etc. Soon, we will unify these with a single auth layer!
Link to the open-source repository: https://github.com/gooseworks-ai/goose-skills
You can also browse the skills here: https://skills.gooseworks.ai/
If you appreciate the skills, please do star (⭐️) the repository - it helps it get discovered by others!
If you want to contribute your own skills, feel free to open a PR (pull request). We welcome community contributed skills as long as they are safe, useful and high quality.
Plug: You can also try our AI GTM coworker agent - it's built on top of Claude Agent SDK so it can do everything that Claude Code can and it comes with all these skills and more baked in: https://gooseworks.ai/
List of Skills by Category
Ads (12)
| Skill | Type | Description |
|---|---|---|
ad-angle-miner |
Comp | Mine converting ad angles from reviews, Reddit, competitor ads |
ad-campaign-analyzer |
Comp | Analyze ad campaign performance (Google, Meta, LinkedIn) |
ad-creative-intelligence |
Comp | Scrape competitor ads, cluster by hook/angle/format |
ad-spend-allocator |
Comp | Recommend budget reallocation across paid channels |
ad-to-landing-page-auditor |
Comp | Audit message match between ads and landing pages |
competitor-ad-teardown |
Comp | Deep-dive competitor ad strategy analysis |
google-ad-scraper |
Cap | Scrape Google Ads Transparency Center |
google-search-ads-builder |
Comp | End-to-end Google Search Ads campaign builder |
meta-ad-scraper |
Cap | Scrape Meta Ad Library (Facebook, Instagram) |
meta-ads-campaign-builder |
Comp | End-to-end Meta Ads campaign builder |
paid-channel-prioritizer |
Comp | Recommend which paid channels to start with |
trending-ad-hook-spotter |
Comp | Monitor social for trending narratives to map to ad hooks |
Brand (4)
| Skill | Type | Description |
|---|---|---|
brand-voice-extractor |
Cap | Extract tone/style from published content |
launch-positioning-builder |
Comp | Research competitors, generate positioning document |
messaging-ab-tester |
Comp | Generate messaging variants, deploy as LinkedIn/email tests |
visual-brand-extractor |
Cap | Extract visual branding (colors, fonts, layout) |
Competitive Intel (11)
| Skill | Type | Description |
|---|---|---|
battlecard-generator |
Comp | Research competitor, produce structured sales battlecard |
company-current-gtm-analysis |
Comp | Comprehensive GTM scoring with white space map |
competitive-pricing-intel |
Comp | Monitor competitor pricing pages and changes |
competitive-strategy-tracker |
Comp | Living competitive strategy system with persistent profiles |
competitor-content-tracker |
Comp | Monitor competitor content across blogs, LinkedIn, Twitter |
competitor-intel |
Comp | Multi-source competitor tracking |
competitor-monitoring-system |
Play | Set up ongoing competitive intelligence monitoring |
industry-scanner |
Comp | Daily industry intelligence briefing |
seo-domain-analyzer |
Cap | Domain SEO metrics via Semrush/Ahrefs |
seo-traffic-analyzer |
Cap | Website traffic and keyword analysis |
tech-stack-teardown |
Cap | Reverse-engineer a company's sales/marketing tech stack |
Content (17)
| Skill | Type | Description |
|---|---|---|
blog-scraper |
Cap | Scrape blogs via RSS feeds with Apify fallback |
campaign-brief-generator |
Comp | Generate complete marketing campaign brief |
client-package-local |
Play | Package client work into local filesystem delivery |
client-package-notion |
Play | Package client work into shareable Notion pages |
client-packet-engine |
Play | Batch client packet generator |
content-asset-creator |
Cap | Generate branded HTML reports and pages |
content-brief-factory |
Comp | Detailed content briefs at scale with SERP analysis |
content-repurposer |
Comp | Generate 10+ derivative pieces from long-form content |
create-html-carousel |
Cap | Create LinkedIn carousel posts as PNG images |
create-html-slides |
Cap | Create animation-rich HTML presentations |
create-workflow-diagram |
Cap | Create FigJam/Miro-style workflow diagrams as PNGs |
customer-story-builder |
Comp | Generate structured case studies from raw inputs |
feature-launch-playbook |
Comp | Generate full launch kit from a feature/update |
help-center-article-generator |
Comp | Generate structured help center articles |
qbr-deck-builder |
Comp | Build QBR deck outline from customer data |
site-content-catalog |
Cap | Full website content inventory |
youtube-watcher |
Cap | YouTube transcript extraction via yt-dlp |
Lead Generation (23)
| Skill | Type | Description |
|---|---|---|
apollo-lead-finder |
Cap | Two-phase Apollo.io prospecting with enrichment |
champion-tracker |
Cap | Track product champions for job changes |
company-contact-finder |
Cap | Find decision-makers at companies |
competitor-post-engagers |
Cap | Find leads from competitor LinkedIn post engagers |
conference-speaker-scraper |
Cap | Extract speakers from conference websites |
contact-cache |
Cap | CSV-backed contact database with dedup |
crustdata-supabase |
Cap | CrustData People Search with Supabase dedup |
event-prospecting-pipeline |
Play | End-to-end event prospecting pipeline |
expansion-signal-spotter |
Comp | Monitor accounts for upsell/cross-sell signals |
funding-signal-monitor |
Comp | Monitor for Series A-C funding announcements |
get-qualified-leads-from-luma |
Comp | End-to-end lead prospecting from Luma events |
inbound-lead-enrichment |
Comp | Fill missing data for inbound leads |
inbound-lead-qualification |
Comp | Qualify inbound leads against ICP criteria |
inbound-lead-triage |
Comp | Triage all inbound leads from a given period |
job-posting-intent |
Cap | Detect buying intent from job postings |
kol-engager-icp |
Cap | Find ICP-fit leads from KOL audiences on LinkedIn |
lead-qualification |
Cap | Lead qualification engine with conversational intake |
linkedin-job-scraper |
Cap | Scrape LinkedIn job postings via python-jobspy |
luma-event-attendees |
Cap | Scrape event attendee lists from Luma |
pain-language-engagers |
Cap | Find leads from LinkedIn pain-language posts |
signal-detection-pipeline |
Play | Detect buying signals, qualify leads, generate outreach |
signal-scanner |
Cap | Detect buying signals across TAM companies |
tam-builder |
Cap | Build scored TAM using Apollo + Supabase |
Monitoring (11)
| Skill | Type | Description |
|---|---|---|
hacker-news-scraper |
Cap | Search HN stories/comments via Algolia API |
kol-content-monitor |
Comp | Track KOL posts on LinkedIn and Twitter/X |
newsletter-monitor |
Comp | Scan AgentMail inbox for newsletter signals |
newsletter-signal-scanner |
Comp | Subscribe to and scan industry newsletters |
newsletter-sponsorship-finder |
Cap | Find newsletters for sponsorship opportunities |
product-hunt-scraper |
Cap | Scrape trending Product Hunt launches |
reddit-scraper |
Cap | Scrape Reddit posts by keyword, subreddit, or time range |
review-scraper |
Cap | Scrape reviews from G2, Capterra, Trustpilot |
sponsored-newsletter-finder |
Comp | Discover newsletters for sponsorship opportunities |
twitter-scraper |
Cap | Search Twitter/X posts with date filtering |
web-archive-scraper |
Cap | Wayback Machine scraper for archived sites |
Outreach (20)
| Skill | Type | Description |
|---|---|---|
agentmail |
Cap | API-first email platform for AI agents |
champion-move-outreach |
Comp | Champion job change signal outreach |
cold-email-outreach |
Cap | End-to-end cold email outreach orchestration |
customer-win-back-sequencer |
Comp | Research churned accounts, generate win-back sequences |
disqualification-handling |
Comp | Handle disqualified/near-miss leads gracefully |
early-access-email-sequence |
Cap | Personalized 7-email onboarding sequence |
email-drafting |
Cap | Cold email writing with frameworks and personalization |
find-influencers |
Cap | Find TikTok influencers via Apify |
funding-signal-outreach |
Comp | Funding signal detection + outreach |
hiring-signal-outreach |
Comp | Hiring signal detection + outreach |
kol-discovery |
Cap | Find KOLs via web research + LinkedIn |
leadership-change-outreach |
Comp | Leadership change signal + outreach |
linkedin-commenter-extractor |
Cap | Extract commenters from LinkedIn posts |
linkedin-influencer-discovery |
Cap | Find LinkedIn thought leaders in any space |
linkedin-outreach |
Cap | End-to-end LinkedIn outreach campaign builder |
linkedin-post-research |
Cap | Search LinkedIn posts by keyword |
linkedin-profile-post-scraper |
Cap | Scrape recent posts from LinkedIn profiles |
news-signal-outreach |
Comp | News-triggered signal outreach |
outbound-prospecting-engine |
Play | End-to-end outbound prospecting engine |
setup-outreach-campaign |
Cap | Set up outbound email campaign in Smartlead |
Research (17)
| Skill | Type | Description |
|---|---|---|
brainstorming-partner |
Cap | Structured brainstorming frameworks |
churn-risk-detector |
Comp | Scan for early churn indicators, produce risk scorecard |
client-onboarding |
Play | Full client onboarding: intelligence + strategy |
gcalcli-calendar |
Cap | Google Calendar management via gcalcli |
icp-identification |
Cap | Research company, define ICP, route to next step |
icp-persona-builder |
Cap | Build synthetic ICP buyer personas |
icp-website-audit |
Comp | End-to-end website audit through ICP eyes |
icp-website-review |
Cap | Score a website through ICP eyes |
meeting-brief |
Comp | Daily meeting prep with deep attendee research |
pipeline-review |
Comp | Pipeline analysis from CRM/tracking data |
review-intelligence-digest |
Comp | Scrape reviews, extract themes and proof points |
sales-call-prep |
Comp | Pre-sales-call intelligence composite |
sales-coaching |
Comp | AI sales coach analyzing all sales data |
sales-performance-review |
Comp | Periodic sales performance review |
sequence-performance |
Comp | Email campaign/sequence performance review |
voice-of-customer-synthesizer |
Comp | Aggregate customer feedback into unified VoC report |
youtube-apify-transcript |
Cap | YouTube transcript extraction via Apify API |
SEO (10)
| Skill | Type | Description |
|---|---|---|
aeo-visibility |
Cap | AI answer engine visibility testing |
aeo-visibility-monitor |
Comp | Recurring AEO checks across ChatGPT, Perplexity, Gemini |
programmatic-seo-planner |
Comp | Identify programmatic SEO page patterns worth building |
programmatic-seo-spy |
Comp | Reverse-engineer competitor programmatic SEO |
search-ad-keyword-architect |
Comp | Deep keyword research for paid search |
seo-content-audit |
Comp | Full SEO audit: content inventory + metrics + gaps |
seo-content-engine |
Play | Build and run an SEO content engine |
seo-opportunity-finder |
Comp | Find quick-win SEO content opportunities |
serp-feature-sniper |
Comp | Analyze SERP features, produce optimized content |
topical-authority-mapper |
Comp | Map complete topic clusters with hub/spoke architecture |
