before-you-build
Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.
git clone --depth 1 https://github.com/wshobson/agents /tmp/before-you-build && cp -r /tmp/before-you-build/plugins/before-you-build/skills/before-you-build ~/.claude/skills/before-you-buildSKILL.md
# Before You Build Run a compact pre-mortem before implementation. The goal is not to block building; it is to identify the highest-risk assumption, the smallest validation step, and the build scope that should be delayed until evidence improves. ## When To Use Use this skill when a user asks to build or ship: - A new product, MVP, prototype, landing page, SaaS app, marketplace, content site, agent workflow, or internal tool - A major feature with unclear adoption, revenue, retention, trust, or distribution impact - A public launch asset where weak positioning could waste development or promotion effort Skip this skill when the task is a narrow implementation fix, refactor, test repair, dependency update, or already-validated change with clear acceptance criteria. ## Risk Checklist Review the idea across these risks: - **Demand:** Is there evidence that a specific buyer or user urgently wants this? - **Positioning:** Can the target user understand what it is and why it matters in one sentence? - **Monetization:** Is there a credible path to payment, budget, or strategic value? - **Retention:** Is there a reason users would return after the first try? - **Trust:** Does the product require credibility, data access, integrations, or behavior change that users may resist? - **Distribution:** Is there a repeatable way to reach the target user? - **Feature adoption:** For feature work, will the feature change user behavior or just add surface area? If the verdict is not obvious, use `references/risk-checklist.md` for deeper questions. ## Output Format Keep the response short and decision-oriented: 1. **Risk verdict:** Low, medium, or high risk, with one sentence explaining why. 2. **Main assumption:** The single assumption most likely to break the project. 3. **Evidence to find first:** The smallest useful signal before building more. 4. **Do next:** One concrete validation step or reduced build scope. 5. **Delay:** What not to build yet. ## Guidance - Be direct about weak evidence, but avoid dismissing the user's idea. - Prefer smaller validation steps over large research plans. - Separate product risk from engineering difficulty. - If the idea is already validated, say what evidence makes it lower risk and suggest the smallest implementation slice. - If facts are missing, name the missing evidence instead of inventing market claims.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.