New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Know If Its Working

by AIDevGTM in AIDevGTM/gtm-cofounder

Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers.

MITAuto-check passedMarketing & SEO

Install Know If Its Working

skills CLI
$ npx skills add AIDevGTM/gtm-cofounder --skill know-if-its-working -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AIDevGTM/gtm-cofounder know-if-its-working --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AIDevGTM/gtm-cofounder.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/15-know-if-its-working .claude/skills/know-if-its-working && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
know-if-its-working
GitHub stars
310
Token cost
~1.1k tokens
SKILL.md length
504 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers.

  • The user has dashboards full of stars and pageviews but cant tell if go-to-market is working
  • SKILL.md covers The core idea, Framework: net developer…, Framework: the DREAM metrics… and Growth benchmarks (non-ARR,…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Is optimizing acquisition over a leaky bucket

What it does

Know If Its Working is an agent skill from AIDevGTM/gtm-cofounder. Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers. Use when the user has dashboards full of stars and pageviews but can't tell if go-to-market is working, or is optimizing acquisition over a leaky bucket.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Go-to-market strategy. The repository describes itself as: 1 Product of The Day @ Product Hunt. The GTM co-founder you don't have. Open-source GTM Agent Skills for developer tools and AI products, for founders, GTM hires, and founding… The licence is MIT.

When your agent uses it

  • The user has dashboards full of stars and pageviews but cant tell if go-to-market is working
  • Is optimizing acquisition over a leaky bucket

Example prompts

  • “/know-if-its-working”

What it can do on your machine

Read from SKILL.md and the folder at commit 7e89e8a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • linkedin.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Know If Its Working loads about 1.1k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 504 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AIDevGTM/gtm-cofounder at commit 7e89e8a, republished under its MIT licence (© AIDevGTM). 504 words, ~1,052 tokens.

Download SKILL.mdSave it as .claude/skills/know-if-its-working/SKILL.md (or your agent's skills folder).
name
know-if-its-working
description
Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers. Use when the user has dashboards full of stars and pageviews but can't tell if go-to-market is working, or is optimizing acquisition over a leaky bucket.

Know if it's working

The only early metric that matters is net developer retention. Without it, you're not running a funnel; you're running a colander.

Use this when: you're tracking GitHub stars and pageviews and still can't answer "is GTM working?", or you're pouring effort into acquisition while new users quietly churn.

The core idea

Acquisition is worthless if users don't come back. Prove retention first; only then does spending on acquisition make sense. Most early founders optimize the top of the funnel while the bottom leaks. Fix that order.

Framework: net developer retention (Frankl)

Of all the developers who first used the product in Month 1, how many used it in Month 2? Month 3?

  • Hold it above 100% (meaning existing cohorts grow through internal referral/expansion).
  • Below solid retention, do not focus on acquisition: you're filling a leaky bucket.
  • This single cohort question tells you more than every vanity chart combined.

Framework: the DREAM metrics (Frankl)

Measure one honest number per stage, not pageviews, not stars.

StageThe metric that counts
Discoveryunique human visitors / month
Researchnewsletter subs + community joins + follows
Evaluationfree-tier signups / downloads / active free users
Activationmonthly active users · frequency · session depth
Membershipcommunity members actively posting & answering

The gate before all of it, the weekend test: can a new developer get to first value over a weekend from docs + Stack Overflow, no support call? Time-to-value target: < 1 hour ideal, 1 day max. If Evaluation/Activation fails here, no channel work will save you.

Growth benchmarks (non-ARR, Frankl)

  • Pre-seed: ~30% month-over-month user growth
  • Post-Series-A: ~10% MoM
  • First $1M ARR: within 12 months is good, 9 is excellent
Show full SKILL.md (233 more words)Show less

Framework: attribution philosophy (Czakon)

Developer marketing is hard to attribute and that's normal. A dev sees your HN post, reads a tutorial, lurks for two months, then signs up direct.

  • Don't over-trust last-touch; it will tell you "direct/organic" and hide the real work.
  • Add a "how did you hear about us?" free-text field. Self-reported attribution beats a broken model.
  • Judge channels on trend and directional signal, not spurious precision.

Decision tree: what to fix first

Is month-2 cohort retention healthy (users come back)?
├─ NO  → STOP optimizing acquisition. Fix Evaluation/Activation (the weekend test, time-to-value).
└─ YES → is a channel reliably producing retained users?
         ├─ YES → pour more in (and only now consider paid to amplify).
         └─ NO  → go back to first-50-users; find the channel before scaling spend.

Mistakes that look reasonable

  • Vanity metrics: stars, pageviews, impressions. They feel like progress and predict nothing.
  • Acquisition over a leaky bucket: buying users who never return.
  • Demanding clean attribution: chasing a perfect model instead of acting on directional signal.
  • Ignoring the weekend test: a beautiful funnel that dies at first-value.

Your next 30 minutes

  • Compute one number: of the devs who first used it 8 weeks ago, what % used it in the last 2 weeks?
  • Pick one honest metric per DREAM stage; delete the vanity charts from your dashboard.
  • Time yourself doing your own onboarding cold. Over an hour? That's your #1 GTM problem.
  • Add a "how did you hear about us?" field to signup this week.

Built from real dev-tool GTM experience, with frameworks from Adam Frankl (The Developer-Facing Startup) and Jakub Czakon (markepear.dev). If your numbers are telling a story you can't read, get a human to look with you. Reach out to me on LinkedIn.

© AIDevGTM, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/15-know-if-its-working of AIDevGTM/gtm-cofounder.

Open the folder on GitHubat commit 7e89e8a

Compare with similar skills

Know If Its Working next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Know If Its Working compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Know If Its Working this skillAIDevGTM/gtm-cofounder310—~1.1kAutomated safety check: PassMIT
Marketing PlanNexus-JPF/note-companion8705 repos~5.2kAutomated safety check: PassMIT
Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Startup Designferdinandobons/startup-skill1.2k—~8.1kAutomated safety check: PassMIT
Jaredrhod Marketingjaredrhod/ai-marketing-skills282—~584Automated safety check: PassCC-BY-SA-4.0
Traffic Acquisitionvivy-yi/xiaohongshu-skills4811 repos~4kAutomated safety check: PassNone

Similar skills

  • Marketing Plan

    Nexus-JPF/note-companion

    When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product.

    870 GitHub starsUsed in 5 repos~5.2k tokens
    Marketing & SEOAuto-check passed

  • Revenue Centric Design

    heliocosta-dev/revenue-centric-design

    Playbook for designing SaaS and startup products that convert, retain, and monetize — landing pages & CRO, checkout & forms, onboarding/activation, churn reduction, pricing psychology, dashboards…

    740 GitHub stars~1.6k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed

  • Startup Design

    ferdinandobons/startup-skill

    Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.

    1.2k GitHub stars~8.1k tokensUpdated 3 mo ago
    Marketing & SEOAuto-check passed

  • Jaredrhod Marketing

    jaredrhod/ai-marketing-skills

    Run any marketing task the way jaredrhod actually runs it. An agent skill from jaredrhod/ai-marketing-skills.

    282 GitHub stars~584 tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed

  • Traffic Acquisition

    vivy-yi/xiaohongshu-skills

    A skill your agent uses when driving traffic to Xiaohongshu account from external sources, acquiring new followers beyond organic discovery, implementing multi-platform growth strategy, or scaling…

    481 GitHub starsUsed in 1 repo~4k tokens
    Marketing & SEOAuto-check passed

  • Amazon Product Research

    nexscope-ai/Amazon-Skills

    Comprehensive product research and opportunity analysis for Amazon sellers.

    744 GitHub starsUsed in 1 repo~3.2k tokens
    Marketing & SEOAuto-check passed

More from AIDevGTM/gtm-cofounder

All 19 skills in this repo

  • First 50 Users

    AIDevGTM/gtm-cofounder

    Get the first 50 real users through channels the user's ICP already uses.

    310 GitHub stars~977 tokensUpdated 5 days ago
    Auto-check passed

  • Founder Led Content

    AIDevGTM/gtm-cofounder

    Build authority by teaching the problem space, not announcing features.

    310 GitHub stars~998 tokensUpdated 5 days ago
    Auto-check passed

  • Growth Loops

    AIDevGTM/gtm-cofounder

    Turn hand-made first-50 traction into self-reinforcing acquisition loops, so the next 5,000 users come from usage, not founder hours.

    310 GitHub stars~2.1k tokensUpdated 5 days ago
    Auto-check passed

  • Launch It

    AIDevGTM/gtm-cofounder

    Plan a developer launch (Show HN, Reddit, Product Hunt) that earns goodwill instead of a flaming.

    310 GitHub stars~1.4k tokensUpdated 5 days ago
    Auto-check passed

  • Market To Devs Sell To Buyers

    AIDevGTM/gtm-cofounder

    Turn developer love into revenue by enabling champions and choosing a GTM model.

    310 GitHub stars~1k tokensUpdated 5 days ago
    Auto-check passed

  • Positioning And Story

    AIDevGTM/gtm-cofounder

    Build a positioning and narrative where the developer is the hero and a real trend is the villain.

    310 GitHub stars~1.1k tokensUpdated 5 days ago
    Auto-check passed

Categories

Questions about Know If Its Working

What does Know If Its Working do?

Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers. Know If Its Working is an agent skill from AIDevGTM/gtm-cofounder. Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers.

When should I use Know If Its Working?

Know If Its Working fits situations like: the user has dashboards full of stars and pageviews but cant tell if go-to-market is working; is optimizing acquisition over a leaky bucket.

How do I install Know If Its Working in Claude Code?

Run `npx skills add AIDevGTM/gtm-cofounder --skill know-if-its-working -a claude-code`. Or copy the skill folder (skills/15-know-if-its-working in AIDevGTM/gtm-cofounder) into .claude/skills/know-if-its-working in your project. Claude Code loads it when a task matches its description.

How do I install Know If Its Working in Codex?

Run `npx skills add AIDevGTM/gtm-cofounder --skill know-if-its-working -a codex`. Or copy the skill folder (skills/15-know-if-its-working in AIDevGTM/gtm-cofounder) into .agents/skills/know-if-its-working in your project. Codex loads it when a task matches its description.

Can I use Know If Its Working in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AIDevGTM/gtm-cofounder --skill know-if-its-working -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/know-if-its-working, .gemini/skills/know-if-its-working, .github/skills/know-if-its-working and .opencode/skills/know-if-its-working in your project.

What does Know If Its Working need to run?

SKILL.md names no scripts, command-line tools or credentials: Know If Its Working is instructions for the agent only.

Does Know If Its Working access the network?

SKILL.md names 1 domain. As links in the text: linkedin.com. This is read from the text; nothing was executed.

Is Know If Its Working safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Know If Its Working use?

Know If Its Working is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Know If Its Working use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Know If Its Working?

Skills that share tags, products or a category with Know If Its Working: Marketing Plan (Nexus-JPF/note-companion, 870 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Design (ferdinandobons/startup-skill, 1.2k stars) and Jaredrhod Marketing (jaredrhod/ai-marketing-skills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Know If Its Working?

AIDevGTM (a GitHub user) maintains it in AIDevGTM/gtm-cofounder, which has 310 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 5, 2026.

Source: AIDevGTM/gtm-cofounder on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.