<p>In the past few months I evaluated more than 30 business ideas for LayerX. Some went to production. Most didn't. The problem wasn't lack of ideas. It was lack of rigor. Evaluating ideas takes time, and when you're a small studio juggling multiple products, you rarely have the bandwidth to go deep on every concept.</p><p>So I built a Venture Analyst agent in Claude. Not a chatbot that gives you "great idea!" feedback. A structured analyst that thinks like a VC, plans like an operator, and kills bad ideas before they waste your team's time and capital.</p><p>Here's how it works, and how you can build your own.</p><p><br /></p><div><div><br /></div></div><h3>What Is a Claude Skill?</h3><p>Before diving in, a quick explanation. A Claude skill is a .md file you upload to a Claude Project as knowledge. When Claude has access to it, you can instruct the agent to "run Skill 03" and it executes a specific analytical framework with structured outputs, scoring, and transitions to the next step.</p><p>Skills are modular. They chain. They build on each other. And when you sequence 10 of them, you get a full venture analysis pipeline that rivals what a junior VC analyst would take a week to produce.</p><div><div><br /></div></div><p><br /></p><h3>The Venture Analyst Agent</h3><p>The agent operates from a core system prompt that defines its role, behavioral rules, and operating logic. The profile is a hybrid:</p><ul><li>McKinsey consultant for structured, evidence-based reasoning and clean deliverables</li><li>VC analyst for honest kill assessments, unit economics rigor, and deal logic</li><li>Operator for resource constraints and capital-efficient thinking</li></ul><p>It applies 6 strategic filters to every idea before running the full pipeline:</p><ul><li>Capital Efficiency: MVP + first 10 customers for under €50K</li><li>Time to Signal: market validation within 60-90 days</li><li>B2B Focus: selling to businesses, not consumers</li><li>Asset Leverage: must activate at least one existing company asset</li><li>Revenue Path: realistic path to €5K-20K MRR within 12 months</li><li>Portfolio Fit: strengthens the portfolio, doesn't cannibalize it</li></ul><p>If an idea fails 2+ filters at the first skill, the agent flags it immediately and doesn't waste cycles running a full pipeline.</p><div><div><br /></div></div><p><br /></p><h3>The 10 Skills</h3><h4>Skill 01: Idea Clarity &amp; Scoping</h4><p>The entry gate. Transforms a raw idea into a structured Idea Brief with a problem-solution hypothesis, initial ICP sketch, and assumptions to validate. If the idea is too vague, the agent asks 3-5 targeted clarifying questions instead of guessing.</p><p>Output: Idea Brief + Clarity Score (1-5)</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-01-idea-clarity-scoping.md" target="_blank">Download Skill 01 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 02: Market Sizing &amp; Analysis</h4><p>No more "the market feels big." This skill builds a TAM/SAM/SOM using both top-down and bottom-up approaches, calibrated to European market data. It assesses market dynamics, timing, and growth rate.</p><p>Output: Market Sizing Brief with TAM/SAM/SOM figures and Market Attractiveness Score</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-02-market-sizing-analysis.md" target="_blank">Download Skill 02 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 03: Customer Discovery &amp; Validation Design</h4><p>Defines the Ideal Customer Profile in three layers: firmographic, psychographic, behavioral. Maps the pain hierarchy (Level 1-4), Jobs-to-Be-Done, and designs 3-5 validation experiments with success criteria before you spend a cent.</p><p>Output: Customer Discovery Brief + Validation Experiment Designs</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-03-customer-discovery.md" target="_blank">Download Skill 03 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 04: Competitive Landscape Mapping</h4><p>Identifies direct, indirect, and adjacent competitors. Builds a 2x2 positioning matrix, maps competitor blind spots, and defines where the company's sustainable competitive advantage actually sits. Finds the white space.</p><p>Output: Competitive Landscape Map + Strategic Positioning Recommendation</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-04-competitive-landscape-mapping.md" target="_blank">Download Skill 04 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 05: Business Model &amp; Unit Economics Design</h4><p>Selects the revenue model architecture, designs pricing tiers, and calculates the full unit economics stack: CAC, LTV, payback period, margins. Builds a 12-month revenue projection across base, bull, and bear scenarios. Stress-tests every assumption.</p><p>Output: Business Model Blueprint + Unit Economics Scorecard + 12-Month Projections</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-05-business-model-design.md" target="_blank">Download Skill 05 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 06: Risk Assessment (VC Lens)</h4><p>Scans 9 risk categories the way a VC due diligence team would: Market, Customer, Competition, Technology, Business Model, Execution, Financial, Regulatory, and Strategic Fit. Scores each on likelihood x impact. Identifies "Kill Risks" - existential threats that must be validated before you proceed.</p><p>Output: Risk Assessment Matrix + Kill Risk List + Mitigation Playbook</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-06-risk-assessment.md" target="_blank">Download Skill 06 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 07: Strategic Fit Filter</h4><p>This is where most generic frameworks fall apart. A great idea for someone else can be a NO GO for your company. This skill evaluates the idea against your specific assets, constraints, and portfolio. Not in the abstract. Capital Efficiency and Time to Signal are double-weighted.</p><p>Output: Strategic Fit Assessment (/40) + Asset Leverage Analysis + Build/Partner/Pass Recommendation</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-07-strategic-fit-filter.md" target="_blank">Download Skill 07 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 08: GO / NO GO Decision Framework</h4><p>The synthesis. Compiles evidence from all prior skills, applies a hard kill-risk gate, runs a weighted decision matrix across 8 dimensions, and delivers a clear verdict: GO, CONDITIONAL GO, or NO GO. Includes bull/bear cases and execution guardrails.</p><p>The agent is instructed to kill bad ideas clearly. No softening a NO GO into a CONDITIONAL GO to avoid discomfort.</p><p>Output: Decision Document with Verdict + Execution Guardrails + Kill Criteria</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-08-go-no-go-decision.md" target="_blank">Download Skill 08 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 09: Go-to-Market Strategy</h4><p>Only runs after a GO or CONDITIONAL GO verdict. Designs the full launch plan: positioning, phased acquisition strategy (Validation → First Revenue → Growth), channel-by-channel plan, launch sequence, sales process, and a 90-day execution calendar with weekly actions and budget allocation.</p><p>Output: GTM Playbook + 90-Day Calendar + Budget Allocation</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-09-go-to-market-strategy.md" target="_blank">Download Skill 09 →</a></p><p><br /></p><div><div><br /></div></div><h4>Skill 10: Adjacent Opportunity Discovery</h4><p>The pipeline doesn't stop at launch. This skill scans 6 adjacency dimensions (same customer/different problem, same problem/different customer, platform plays, value chain expansion, geographic expansion, business model innovation) and scores adjacent opportunities to build your exploration pipeline.</p><p>Output: Adjacent Opportunity Map + Scored Opportunity Table + Portfolio Integration Matrix</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/skill-10-adjacent-opportunity-discovery.md" target="_blank">Download Skill 10 →</a></p><p><br /></p><div><div><br /></div></div><h3>How to Set It Up</h3><ol><li>Create a new Claude Project</li><li>Add the Company Context skill to project knowledge (your company's assets, products, and strategic direction; the agent references this constantly). Feel free to use Claude chat to help you create this one.</li><li>Upload all 10 skill files to project knowledge or to Claude directly (Customize tab)</li><li>Paste the your Venture Analyst system prompt as the project's custom instructions. Make sure it has your company context and feel free to use the content of this article to help you set it up.</li><li>Start pitching ideas</li></ol><p>You can run the full pipeline sequentially or jump to specific skills. The agent handles both modes.</p><div><div><br /></div></div><p><br /></p><h3>What It Actually Produces</h3><p>When you pitch an idea, you get:</p><ul><li>A structured Idea Brief</li><li>A market sizing with real numbers</li><li>An ICP with validated pain hierarchy</li><li>A competitive map with your positioning</li><li>Unit economics with 12-month projections</li><li>A scored risk matrix with kill risks flagged</li><li>A company-specific strategic fit assessment</li><li>A clear GO / NO GO verdict</li><li>A 90-day GTM calendar (if GO)</li><li>An adjacent opportunity map for what to build next</li></ul><p>That's what a consulting team charges €50K to produce. The agent does it in one session.</p><div><div><br /></div></div><p><br /></p><h3>One Important Note</h3><p>The agent is only as good as your Company Context skill. That file is the foundation. It defines your assets, your portfolio, your constraints, your team. Keep it updated. When you launch a new product or change strategic direction, update the skill. The agent references it on every analysis.</p><p>The skills are available for download below. Adapt the Company Context template to your own company, drop in the system prompt, and you're running.</p><p><a href="https://storage.googleapis.com/taikai-storage/others/blog-post-assets/claude-skills/venture-pipeline-skills.zip" target="_blank">Download ZIP file with all skills →</a></p><p><strong>Install through Skills.sh</strong>: <em>npx skills add hypermari0/venture-analyst-skills </em> </p><div><div><br /></div></div><p><em>I'm Mário Alves, CEO of </em><a href="https://layerx.xyz" target="_blank"><em>LayerX</em></a><em>, an AI-powered studio based in Porto. We're a small team and we can't afford to chase the wrong ideas. This framework is how we keep that discipline.</em></p>

I built a 10-skill analytical framework in Claude that evaluates business ideas with VC-grade rigor.

McKinsey-Grade Venture Analyst in Claude Using 10 Custom Skills

How I Built a McKinsey-Grade Venture Analyst in Claude Using 10 Custom Skills

<p><strong>RayTradeStudio</strong> started as an internal tool to solve our own pain points managing liquidity bots, observability, analytics, and control were scattered or nonexistent. But once we saw it working, something clicked. This isn't just an internal fix, it's a product. A full management stack for bot observability, analytics, control, and operational excellence.</p><p>We're entering an era where agents are becoming human proxies, automating everything from trading to workflows and as bot adoption scales, so does the complexity of managing them.</p><p>That's why I believe a new software category is emerging - one I'd call <strong>BotOps</strong>: platforms purpose-built for the operational lifecycle of autonomous agents. Deployment, monitoring, performance analytics, incident response, version control, the same rigor we brought to DevOps, now applied to bots 🔄</p><p><strong>Think of it this way: BotOps is to autonomous agents what DevOps is to software delivery.</strong></p><p>RayTradeStudio is our take on management bot platform for trading,  but the pattern is universal. Wherever bots operate at scale, BotOps platforms will follow. The era of BotOps is here. Time to build the infrastructure that keeps the bots running right smoothly.</p><p><br /></p><h3>😤 The Problem No One Was Solving</h3><p>In the world of algorithmic trading, the tools have always been fragmented. You'd stitch together a trading script, connect it to an exchange API, pipe logs somewhere, maybe build a dashboard in Grafana, and pray nothing broke overnight. If it did, you'd SSH into a server at 3 AM trying to figure out what happened.</p><blockquote><p>The bots were getting smarter. The infrastructure around them? Still in the dark ages 🌑</p></blockquote><p>We lived this pain daily. Running multiple market-making bots across different exchanges, each with its own quirks, credentials, and failure modes. There was no single pane of glass, no unified way to deploy, monitor, control, and analyze bot performance. Every new bot meant more custom glue code, more fragile monitoring setups, more operational headache.</p><p>So we built what we needed. And then we realized: everyone running bots at scale needs this.</p><p><br /></p><h3>🧩 What Is RayTradeStudio?</h3><p><strong>RayTrade Studio </strong>is a full-stack BotOps platform for algorithmic trading. It gives teams and individual traders the ability to deploy, configure, monitor, and optimize trading bots across multiple exchanges, all from a single, unified interface powered by a real-time optimized <strong>GraphQL API.</strong></p><p>But it's more than a dashboard bolted onto a trading engine. It's an opinionated platform that treats bots as first-class operational entities. Every bot has a lifecycle. Every lifecycle stage has tooling.</p><p>Let's walk through what the platform actually does: 👇</p><p><br /></p><h3><strong>🌐 Multi-Exchange, One Platform</strong></h3><p>RayTradeStudio integrates with seven major cryptocurrency exchanges, <strong>KuCoin</strong>, <strong>Kraken</strong>, <strong>Gate.IO</strong>, <strong>MEXC</strong>, <strong>Coinbase</strong>, and Binance through a standardized adapter layer. Every exchange speaks the same language inside the platform: order books, tickers, balances, order placement, and cancellation all flow through a unified interface.</p><p>This means you can run a market-making bot on KuCoin and an identical strategy on Kraken without changing a single line of configuration logic. The platform handles the translation Credentials are encrypted with AES-256 and stored per-bot, so each agent has isolated, secure access to its exchange. 🔐</p><p><br /></p><h3>🧰 Ready-Made Strategies, Zero Boilerplate</h3><p>Not everyone wants to write a trading bot from scratch. RayTradeStudio ships with five production-ready strategies that cover the most common use cases:</p><ul><li>📊 <strong>Basic Market Maker -</strong> A straightforward market-making strategy with configurable spreads, multi-level order placement, and inventory-based adjustments. Ideal for getting started.</li><li>🧮 <strong>Avellaneda-Stoikov Market Making</strong> - A mathematically rigorous strategy based on the classic academic framework for optimal market making. It calculates reservation prices and optimal spreads using real-time volatility and inventory risk parameters.</li><li>🎛️ <strong>Advanced Market Maker</strong> - A volatility-adaptive strategy that dynamically adjusts spreads based on market conditions. It supports multiple order distribution modes uniform, linear, and quadratic and combines volatility signals with inventory skew for asymmetric pricing.</li><li>📈 <strong>Volume Generator</strong> - Purpose-built for liquidity programs, this strategy generates consistent trading volume with dynamic order sizing, daily volume targets, and flexible reset modes.</li><li>🔍 <strong>Market Metrics Monitoring - </strong>A non-trading bot that tracks over twelve market metrics in real time: balance composition, inventory skew, price volatility, bid-ask spread, and order book depth at multiple thresholds.</li></ul><blockquote><p>Each strategy exposes a configuration schema through the API, complete with example configurations. Pick a program, select a market, set your parameters, and deploy.</p></blockquote><p><br /></p><h3>🛠️ Custom Bot Development</h3><p>For teams with proprietary strategies, RayTradeStudio supports custom JavaScript custom scripts  that run inside secure, isolated virtual machines. Each bot gets a rich execution context on every tick: account balances, full order book, open orders, ticker data, market configuration, and persistent key-value storage.</p><p><strong>The bot API is deliberately simple</strong>. Log with bot.log, emit custom metrics with bot.gauge.set, fire events with bot.event.emit, and persist state with bot.storage. Trade utilities handle spread calculations, mid-price computation, and more.</p><p>The isolation layer ensures that one bot's failure never impacts another,  and that no bot can ever access data or credentials outside its own scope 🛡️</p><p>This design makes RayTrade Studio a platform, not just a framework. Whether you use our strategies or build your own, the observability, lifecycle management, and operational tooling remain the same.</p><p><br /></p><h3>👁️ Real-Time Observability: See Everything, Miss Nothing</h3><p>This is where BotOps really comes alive, RayTradeStudio provides real-time WebSocket subscription channels that give you a live, continuous view of every bot's operation:</p><ul><li>📝 <strong>Execution Logs -</strong> Every INFO, WARN, and ERROR log from every bot, streamed in real time and persisted for historical queries.</li><li>📏 <strong>P</strong><strong>erformance Gauges</strong> - Custom time-series metrics that bots emit on every tick. Track inventory ratios, fill rates, spread percentages, or any KPI your strategy cares about.</li><li>⚡ <strong>Events</strong> - Structured event payloads for trade executions, order placements, rebalances, and any custom event your bot logic defines.</li><li>📖 <strong>Order Book -</strong> Enriched order book data including best bid/ask, spread metrics, and market depth at 1%, 2%, and 5% thresholds.</li><li>💰 <strong>Account Info</strong> - Real-time balance snapshots for base and quote assets.</li><li>📋 <strong>Open Orders -</strong> Live view of all active orders on the exchange.</li><li>🔔 <strong>Trade Feed</strong> - Executed trades with full details: side, amounts, price, and fees.</li></ul><p>Every data point is queryable historically through GraphQL with filtering, sorting, and pagination. You don't just watch your bots,  you build a complete analytical record of their behavior over time.</p><p><br /></p><h3>🔄 Bot Lifecycle Management</h3><p>BotOps means treating bot lifecycles with the same discipline we bring to software deployments. In RayTradeStudio, every bot moves through a well-defined lifecycle:</p><ul><li>🆕 <strong>Create</strong> - Define a bot with a name, strategy, market, execution interval, and configuration. Set encrypted credentials. The bot exists but doesn't run.</li><li>⚙️ <strong>Configure</strong> - Update parameters, adjust intervals, modify strategy settings. Changes take effect cleanly without requiring a full teardown.</li><li>▶️ <strong>Start</strong> - The bot enters the distributed execution pipeline. The scheduler assigns ticks, workers execute the strategy, and data starts flowing.</li><li>👁️ <strong>Monitor</strong> - Real-time observability kicks in. Watch logs, track gauges, respond to events. All from a single interface.</li><li>⏹️ <strong>Stop</strong> - Graceful shutdown. Open orders can be handled according to your configuration. The bot retains all its history and state.</li><li>📊 <strong>Analyze</strong> - Query historical logs, metrics, events, and trades. Understand what worked, what didn't, and why.</li></ul><p>This lifecycle is managed through a clean GraphQL API, making it trivial to integrate with external tools, build custom UIs, or automate operations.</p><p><br /></p><h3>🧪 Simulate Before You Ship</h3><p>One of the most powerful features of RayTradeStudio is its built-in simulation engine. Before deploying any strategy to a live exchange, you can run it against a fully simulated market environment.</p><p>The simulator includes a price generator with multiple models, random walk, trending, and mean-reverting, a realistic order book simulator with configurable depth and liquidity, and a fill simulator that models partial fills, slippage, and fees</p><p>After a simulation run, the performance tracker generates a complete report: P&amp;L, Sharpe ratio, win rate, maximum drawdown, trade frequency, and more.</p><p>This isn't a toy. It's the same execution pipeline your bot will use in production, with the exchange layer swapped for a simulation. If it works in the simulator, you have high confidence it'll work live ✅</p><p><br /></p><h3>🔐 Enterprise-Grade Security</h3><p>Security isn't an afterthought. Exchange API credentials are encrypted with AES-256, decrypted only at runtime within the execution pipeline. Bot code runs in isolated V8 virtual machines,  a bot cannot access another bot's data, credentials, or storage 🛡️</p><p><br /></p><h3>🔮 The BotOps Future</h3><p><strong>RayTradeStudio</strong> is our answer to a question the industry is just starting to ask: how do you operate bots at scale? 🤔</p><p>Today it's trading bots. Tomorrow it's customer service agents, supply chain optimizers, content generators, security monitors, any autonomous system that needs to be deployed, observed, controlled, and continuously improved.</p><p>The patterns are the same. The lifecycle is the same. The need for operational excellence is the same.</p><p>We built RayTradeStudio because we needed it. We're sharing it because the world is about to need it too. The era of BotOps is here, and the infrastructure that keeps the bots running right is no longer optional, <strong>it's foundational</strong>. </p><p>RayTradeStudio is currently available for teams running algorithmic crypto trading operations. To learn more about the platform or discuss how BotOps can transform your bot operations, <a href="https://raytrade.studio/#tally-open=Y5aljq&amp;tally-hide-title=1&amp;tally-overlay=1&amp;tally-emoji-text=%F0%9F%91%8B&amp;tally-emoji-animation=wave&amp;tally-auto-close=3000" target="_blank">reach out to our team</a>.</p><p><br /></p>

RayTrade Studio brings DevOps discipline to trading bots. Deploy, monitor, and optimize autonomous agents across exchanges from a single platform.

Who Watches the Bots? Building Infrastructure for Trade Bots.

RayTradeStudio, the platform purpose-built for deploying, monitoring, and optimizing algorithmic trading bots at scale. Multi-exchange support, real-time observability, and enterprise-grade security, the operational infrastructure autonomous bots demand.

How I Built a McKinsey-Grade Venture Analyst in Claude Using 10 Custom Skills

How I Built a McKinsey-Grade Venture Analyst in Claude Using 10 Custom Skills

Who Watches the Bots? Building Infrastructure for Agentic Trading at scale

Building an Automated Polymarket Trading Bot: A Research Journey