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CodeAlive-AI

@codealive-ai source repo

118 published skills · page 2 of 2

  1. Competitive Analysis · codealive-ai bundle
    Help users understand and respond to competition. Use when someone is positioning against competitors, evaluating market threats, running competitive war games, or deciding how much to focus on competitors versus customers.
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  2. Exa Company Research · codealive-ai bundle
    Company research using Exa search. Finds company info, competitors, news, tweets, financials, LinkedIn profiles, builds company lists. Use when researching companies, doing competitor analysis, market research, or building company lists.
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  3. Github Stars Monitor · codealive-ai bundle
    Cron-triggered: monitor GitHub stars and forks on [YOUR_PRODUCT] repos, research new stargazers by profile, alert CEO when someone interesting stars/forks. Runs automatically.
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  4. Positioning Workshop · codealive-ai bundle
    Full structured positioning exercise with competitive research, forced-choice questions, team alignment, and synthesis. Produces a sub-30-word positioning statement. For quick help with taglines, value props, or messaging tweaks, use positioning-messaging instead.
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  5. Positioning Messaging · codealive-ai bundle
    Craft product positioning statement, value props, and taglines. Use for "how do we describe what we do" and marketing copy. For broader company narrative and pitch story, use brand-storytelling. For competitor positioning, use competitive-analysis.
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  6. Business Investigation · codealive-ai bundle
    Root cause analysis for business problems — why no signups, why churn, why stalled pipeline. Use when diagnosing WHY something is broken. For choosing between strategic options, use strategic-review instead.
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  7. Designing Growth Loops · codealive-ai bundle
    Design and optimize growth loops — viral mechanics, referral programs, product-led acquisition, content loops. Use when building PLG growth engine, figuring out how to make the product grow itself, or evaluating organic vs paid acquisition ratio. For PLS conversion, see product-led-sales. For pricing, see pricing-strategy.
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  8. Install Openclaw To Yc · codealive-ai bundle
    Autonomously set up an OpenClaw bot on a fresh Yandex Cloud VM in Kazakhstan (kz1-a, Karaganda). Asks the user for exactly two things — a Telegram bot token and one of three LLM access options (Anthropic API key, OpenRouter API key, or OpenAI Codex OAuth via ChatGPT Plus/Pro subscription) — then handles VM creation, hardening, OpenClaw install, CEO AI OS workspace seeding, Telegram pairing, chat_id auto-detection, and bot-reply verification on its own. The only other actions the user performs are pressing /start in Telegram once and (if Codex) confirming a device code on auth.openai.com. Use when the user says install OpenClaw to Yandex Cloud, deploy OpenClaw to YC Kazakhstan, set up my CEO bot in YC KZ, I am at OpenClaw workshop and need my own bot, create a Yandex Cloud VM for OpenClaw, or any close paraphrase. Targets a ~15-minute end-to-end run for non-DevOps users (founders, CEOs, marketing leads). Supports two modes of accessing Yandex Cloud — Plan A (the user's own YC Kazakhstan account via OAuth) and
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  9. Pr Opportunity Scanner · codealive-ai bundle
    Daily scan for free PR opportunities: community threads (Reddit/HN/Dev.to) asking for tool recommendations, fresh roundup articles where your product can be featured, and a weekly local conference/meetup scan. Runs as cron or on-demand. For sales pipeline signals, see signal-scanner. For brand mentions, see social-listening.
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  10. Openclaw User Onboarding · codealive-ai bundle
    After an OpenClaw bot is freshly installed (via install-openclaw-to-yc or any other path), collect a small set of basic facts about the user — name, role/company, what matters this week, communication preferences, tools they live in, and anti-patterns — and write them into the bot's USER.md on the remote VM via SSH. This is the difference between a bot that answers generically and one that knows from the very first message who it's talking to. Use when the user says onboard me, knowing me, set up my profile, finish setup, последний шаг, расскажу о себе, познакомимся, who I am, or whenever install-openclaw-to-yc has just successfully completed Step 5 and is handing off. Runs in 2-5 minutes of conversation, idempotent, safe to re-run later to update the profile. For the VM install itself, use install-openclaw-to-yc. For ongoing bot consulting, use openclaw-guide.
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  11. Product Marketing Context · codealive-ai bundle
    When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing-context.md` that all other skills reference for product, audience, and positioning context.
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  12. Conducting User Interviews · codealive-ai bundle
    Help plan and run customer interviews — question design, interview structure, research planning. Use BEFORE interviews to prepare. For debriefing AFTER a conversation, use discovery-debrief instead.
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  13. Writing North Star Metrics · codealive-ai bundle
    Help users define their North Star metric. Use when someone is choosing their primary success metric, trying to align the team around a key measure, struggling with metric proliferation, or setting up their measurement strategy.
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  14. Install Openclaw To Hetzner · codealive-ai bundle
    Autonomously set up an OpenClaw bot on a fresh Hetzner Cloud VM (Falkenstein, Germany — fsn1 — by default; switchable to Helsinki/Nuremberg/Ashburn/Hillsboro/ Singapore). Asks the user for exactly two things — a Telegram bot token and one of three LLM access options (Anthropic API key, OpenRouter API key, or OpenAI Codex OAuth via ChatGPT Plus/Pro subscription) — then handles Hetzner SSH-key upload, firewall creation, VM provisioning, hardening, OpenClaw install, CEO AI OS workspace seeding, Telegram pairing, chat_id auto-detection, and bot-reply verification on its own. The only other actions the user performs are pressing /start in Telegram once and (if Codex) confirming a device code on auth.openai.com. Use when the user says install OpenClaw to Hetzner, deploy OpenClaw to Hetzner Cloud, set up my CEO bot on Hetzner, create a Hetzner VM for OpenClaw, поставь openclaw на hetzner, разверни бота в Hetzner, or any close paraphrase. Targets a ~15-minute end-to-end run for non-DevOps users (founders, CEOs, marke
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  15. Measuring Product Market Fit · codealive-ai bundle
    Help users assess and achieve product-market fit. Use when someone is trying to determine if they have PMF, measuring user engagement and retention, running the Sean Ellis survey, or figuring out if they should scale or keep iterating.
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  16. Install Openclaw To Digitalocean · codealive-ai bundle
    Autonomously set up an OpenClaw bot on a fresh DigitalOcean Droplet (Ubuntu 24.04, default region Frankfurt fra1). Asks the user for exactly two things — a Telegram bot token and one of three LLM access options (Anthropic API key, OpenRouter API key, or OpenAI Codex OAuth via ChatGPT Plus/Pro subscription) — then handles a DigitalOcean API token check, SSH-key upload, Droplet creation, Cloud Firewall, OS hardening, OpenClaw install, CEO AI OS workspace seeding, Telegram pairing, chat_id auto-detection, and bot-reply verification on its own. The only other actions the user performs are pasting a DigitalOcean API token once, pressing /start in Telegram once, and (if Codex) confirming a device code on auth.openai.com. Use when the user says install OpenClaw to DigitalOcean, deploy OpenClaw to a DO Droplet, set up my CEO bot on DigitalOcean, spin up an OpenClaw droplet, create a DigitalOcean VM for OpenClaw, or any close paraphrase. Targets a ~15-minute end-to-end run for non-DevOps users (founders, CEOs, marketi
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  17. Codealive Context Engine · codealive-ai bundle
    Semantic search, grep, and Q&A across codebases and documentation indexed in CodeAlive. Use when the user mentions "CodeAlive", asks to list or get data sources, list indexed repositories, search code or docs across remote repos, fetch artifact content, or trace call graphs across repositories.
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  18. Prompt Engineering · codealive-ai bundle
    Universal prompt engineering techniques for any LLM. Use when crafting, optimizing, or reviewing prompts for AI models. Triggers on requests like "improve this prompt", "write a system prompt", "optimize my instructions", "help me prompt engineer", "audit this prompt", "review my prompt", or when building agentic systems that need structured prompts.
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