google-search-console
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
When the user wants to plan cold start, get first users, or launch a new product with zero traction. Also use when the user mentions "cold start," "cold start problem," "first users," "seed users," "finding users," "finding early users," "Fiverr Upwork," "comment outreach,"
Claude Code
$ npx -y skills add kostja94/marketing-skills --skill cold-start --agent claude-code
Codex
$ npx skills add kostja94/marketing-skills --skill cold-start -a codex -y
Cursor
$ npx skills add kostja94/marketing-skills --skill cold-start -a cursor -y
Gemini CLI
$ npx skills add kostja94/marketing-skills --skill cold-start -a gemini-cli -y
GitHub Copilot
$ npx skills add kostja94/marketing-skills --skill cold-start -a github-copilot -y
OpenCode
$ npx skills add kostja94/marketing-skills --skill cold-start -a opencode -y
Windsurf
$ npx skills add kostja94/marketing-skills --skill cold-start -a windsurf -y
name: cold-start-strategy description: When the user wants to plan cold start, get first users, or launch a new product with zero traction. Also use when the user mentions "cold start," "cold start problem," "first users," "seed users," "finding users," "finding early users," "Fiverr Upwork," "comment outreach," "Twitter search users," "product launch strategy," "0 to 1 growth," "early-stage acquisition," "launch channels," "get first customers," "Product Hunt launch," "AppSumo," "LTD," "indie hacker," "bootstrapping," or "solo founder." For directory listing copy and submissions, use directory-submission. For Product Hunt day-of execution, use product-hunt-launch. For GTM motion design, use gtm-strategy. metadata: version: 1.3.0
Guides cold start strategy for AI/SaaS products: getting first users and traction when you have zero. The cold start problem is overcoming the chicken-and-egg barrier; most startups fail due to poor distribution, not product quality. For **indie hacker** context (first 100 users, Build in Public, Pieter Levels tactics), see **indie-hacker-strategy**.
**When invoking**: On **first use**, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.
**Project context:** Read root `{project}.md` when present and load only the modules relevant to this task. Without Contextus, use available project material or user-provided facts and ask for missing information; do not create a parallel context system.
Identify: 1. **Product type**: AI tool, SaaS, app, B2B, B2C 2. **Target audience**: Where they spend time 3. **Budget**: Zero, minimal ($500–1K), or moderate 4. **Timeline**: Pre-launch, launch week, post-launch
| Channel | Audience | Use | Notes | |---------|----------|-----|-------| | **Product Hunt** | Indie makers, early adopters | Launch-day buzz; community upvotes | ~3% conversion; traffic spike; see **product-hunt-launch** | | **AppSumo / LTD** | Deal seekers, early adopters | Lifetime deal for fast revenue, validation | Quick cash; price-sensitive users; see **discount-marketing-strategy** for LTD structure, trade-offs | | **Reddit** | Subreddit-specific | r/AlphaAndBetaUsers, r/roastmystartup, r/devops, r/SaaS | 80/20 rule; 5+ months for traction; lead with story | | **Indie Hackers** | Indie makers, founders | Sustained engagement; authentic journey | ~23% conversion; 4–6 months; see **indie-hacker-strategy** for tactics | | **Hacker News** | Tech, startups | Show HN launch | Luck + timing; front page = traffic spike | | **Directory submission** | AI tools, product launch | Taaft, G2, niche directories | Validate PMF; seed users; see **directory-submission** | | **Founder-led outbound** | B2B, high ACV | Cold email, LinkedIn; 10–15 personalized outreaches/day | Pre-$5K MRR; only reliable path when ACV >$500/mo | | **Community engagement** | Target users | Forums, LinkedIn groups, Discord | 45–90 days; contribute value first |
Low-cost ways to find and reach users who are already expressing need. Use when Product Hunt, directories, or forums are not enough.
Search Twitter/X, LinkedIn, Reddit, and niche communities for demand signals:
| Signal | What to seek | |--------|--------------| | **Keywords** | Industry terms, category keywords, "looking for [X] tool," "best alternative to [Y]" | | **Discussion** | Industry threads, complaints about competitors, "anyone used…" or "recommend…" posts | | **Platform** | Choose where your audience spends time (Twitter/X, LinkedIn, Reddit, Discord, vertical forums) |
| Step | Practice | |------|----------| | **Search** | Service requests related to your product (e.g. "need logo design," "looking for video editor") | | **Identify** | Buyers in job descriptions or comments who have related needs | | **Reach** | Offer help or tool recommendation; introduce product politely |
Users often have clear need and budget; high intent.
| Practice | Guideline | |----------|-----------| | **Search** | Brand, category, "looking for AI tool," "best alternative to…" | | **Reply** | Comment on posts where users express need; avoid spam | | **Tone** | Sincere; honest that it's your product; invite trial and feedback | | **Avoid** | Hard sell; copy-paste; repeated posting |
**Example outreach**: "Hi, I'm building something similar. If you'd like to try it: [link]. Happy to hear any feedback—we're iterating actively."
**Feedback collection**: DM, email, survey, user interview, in-app feedback—choose by channel and context.
Coordinated launch across channels yields 5–6× more users than single-channel:
| Week | Focus | |------|-------| | 1–2 | Audience building (LinkedIn 3×/week) | | 3–4 | Beta; community engagement | | 5 | Pre-launch countdown | | 6 | Product Hunt + Reddit/Indie Hackers | | 7 | Post-launch follow-up |
**Build in public** before launch—share progress, validate ideas, create invested audience. For indie hacker first 100 users, Build in Public content framework (40/30/20/10), Pieter Levels tactics → **indie-hacker-strategy**.
Marketing Skills is an open-source library of reusable marketing and SEO workflows for AI agents. Install the skills your task needs, provide real product context, and get structured work grounded in explicit methods, checks, and source rules.
Compatibility pointer for Search Console performance and indexing analysis; maintained in Open Analytics.
Compatibility pointer for recurring SEO monitoring; maintained in Open Analytics.
Compatibility pointer for AI assistant referrals and generative search visibility; maintained in Open Analytics.
Compatibility pointer for source, UTM and direct-traffic analysis; maintained in Open Analytics.
Compatibility pointer for GA4 event, key-event and User-ID tracking; maintained in Open Analytics.
When the user wants to promote via forums, communities, or invite users to join a community. Also use when the user mentions…
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use…
Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability,…
Turn the current project website into a short, polished, shareable launch video using Hyperframes. Use when someone says "/brag",…
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit…