forged-claude-code

Generates event tracking code for GA4, Mixpanel, and Amplitude from event specifications

Transforms one piece of content into multiple formats for different channels (Twitter thread, LinkedIn post, newsletter, short-form script)

Records key decisions in ADR (Architecture/Any Decision Record) style with context, options, rationale, and consequences

Prioritizes features using RICE, ICE, MoSCoW, and weighted scoring frameworks with visual output

Generates privacy policy and terms of service drafts compliant with GDPR and Korean privacy laws

Generates working prototype code (API + UI) from user story or feature description for quick demos and validation

Generates user-friendly release notes from git commits and PRs with audience-specific tone adjustment (users, team, investors)

Generates product roadmaps from prioritized features, team capacity, and strategic goals with Mermaid visualization and Now-Next-Later framework

Calculates startup runway from cash, burn rate, and revenue projections with scenario analysis

Generates platform-optimized social media posts for Twitter/X, LinkedIn, Instagram, and TikTok with hashtags and format variations

Scans codebase for technical debt indicators (TODO/FIXME, high complexity, duplication, outdated deps) and generates prioritized reports

Calculates CAC, LTV, LTV/CAC ratio, payback period and other unit economics with improvement simulations

Generates INVEST-compliant user stories with acceptance criteria from PRD or feature descriptions

Generates clear value proposition messages using Value Proposition Canvas, Jobs-to-be-Done, and positioning frameworks

Reviews PR code for bugs, performance, readability, and test coverage. Provides actionable feedback with severity levels. Optimized for small startup teams without dedicated reviewers.

Writes SEO-optimized marketing content (blog posts, case studies, white papers) tailored to target personas and brand voice guidelines. Acts as an AI content marketing engine for resource-constrained startups.

Analyzes cloud infrastructure configurations to recommend cost optimizations. Identifies right-sizing opportunities, Reserved/Spot instances, serverless conversions, and unused resources.

Analyzes user feedback from multiple sources (reviews, tickets, surveys, interviews) to extract themes, sentiment, frequency rankings, and actionable insights for product decisions.

Analyzes AARRR pirate metrics funnel to diagnose stage-by-stage conversion rates, identify leaky bucket stages, and recommend targeted growth actions.

Scans codebase for security vulnerabilities including OWASP Top 10, hardcoded secrets, dependency CVEs, and insecure configurations. Acts as automated SAST for startups without dedicated security teams.

Analyzes content and code for SEO optimization opportunities. Performs keyword research, meta tag optimization, internal link analysis, and content SEO scoring.

Analyzes project requirements (scale, traffic, team capabilities, budget) to recommend optimal technology stacks with trade-off explanations. Specialized for early-stage startups making foundational technology decisions.

Analyzes UI components and screenshots for UX heuristic violations, accessibility issues, and design consistency problems. Acts as an AI UX designer for startups without dedicated design teams.

Defines and enforces brand voice guidelines for startups. Creates tone, style, messaging frameworks and provides consistency checks across all content. Ensures every piece of communication sounds like it comes from the same brand.

Designs community building strategies for startups. Covers platform selection, onboarding flows, engagement mechanics, moderation guidelines, and growth playbooks for Discord/Slack/forum communities.

Designs automated email drip campaigns for onboarding, nurturing, win-back, and upsell sequences. Includes subject lines, copy, timing, and A/B test variations.

Designs and manages growth experiments using ICE/RICE frameworks. Structures hypothesis-experiment-measure-learn cycles for systematic startup growth with weekly experiment cadence.

Designs and generates conversion-optimized landing pages with Hero, benefits, social proof, CTA, and FAQ sections. Outputs HTML/React code with Tailwind CSS styling.

Designs pitch deck storylines for investors, partners, and customers. Provides slide-by-slide content with key messages, data points, and storytelling structure.

Designs referral and viral growth programs. Covers incentive structures, sharing mechanics, tracking methods, and reward systems to reduce CAC through word-of-mouth growth.

Creates departmental and project budgets with variance tracking. Provides startup-specific budget templates and burn rate management frameworks.

Investment preparation checklist covering data room setup, pitch deck outline, financial model templates, and investor FAQ preparation. Stage-specific guidance from Pre-seed to Series A.

Stage-specific legal checklists for startups covering incorporation, shareholder agreements, stock options, privacy compliance, and regulatory requirements. Generates actionable checklists with priority and professional review recommendations.

Structured meeting note templates for startups. Generates consistently formatted meeting records with attendees, agenda, decisions, action items, and deadlines. Supports various meeting types: standup, sprint, board, all-hands, 1:1.

Builds OKR (Objectives and Key Results) frameworks for startups. Generates quarterly/annual OKRs with alignment across company, team, and individual levels following best practices.

Generates blame-free postmortem documents for incidents and failures. Includes timeline, root cause analysis, and prevention measures following the blameless postmortem culture.

Sprint retrospective templates and facilitation guides. Supports Keep/Problem/Try, 4Ls, Sailboat, and other formats with action item tracking across retros.

Creates and maintains risk registers with impact/probability matrices, mitigation plans, and risk owner assignments for startup operations.

Creates Standard Operating Procedures for repetitive tasks. Generates step-by-step documentation with checklists, decision trees, and responsibility assignments to eliminate single points of failure.

Designs A/B tests and product experiments with hypothesis structuring, sample size calculation, duration estimation, and result interpretation. Unified framework for both product and marketing experiments.

Defines and tracks startup metrics by stage (Pre-PMF, Post-PMF, Scale). Supports AARRR pirate metrics, North Star Metric, and leading/lagging indicator frameworks with dashboard templates.

Lightweight PRD (Product Requirements Document) writing guide for startups. Provides structured templates covering problem definition, hypothesis, success metrics, scope, and edge cases. Designed to be lean enough for fast iteration while comprehensive enough to align engineering and design teams.

Helps startups cut features to true MVP by identifying the minimum set of capabilities needed to deliver core value. Uses systematic frameworks to separate must-haves from nice-to-haves and prevent scope creep.

Guides user interview design, execution, and analysis. Provides question templates for discovery, validation, and usability interviews with structured insight extraction frameworks.

Generates LLM API integration code for OpenAI, Anthropic, and Google. Includes prompt engineering patterns, streaming responses, error handling, cost estimation, and RAG pipeline setup.

Designs API-first with OpenAPI/GraphQL schemas, then generates server stubs and client SDKs. Enables parallel frontend/backend development for small teams.

Designs database schemas from domain model descriptions. Generates ERD, migration scripts, and index strategies for PostgreSQL, MySQL, and MongoDB. Includes Prisma, Drizzle, SQLAlchemy, and raw SQL support.

Generates CI/CD pipeline configurations for GitHub Actions or GitLab CI. Includes test, build, staging, and production deployment stages with Docker and serverless options optimized for startup workflows.

Generates Terraform/Pulumi infrastructure code for AWS/GCP/Azure. Provides startup-optimized templates for VPC, databases, compute, CDN, and common cloud architecture patterns.

Configures application monitoring, log collection, and alerting. Generates setup for Datadog, Grafana+Prometheus, CloudWatch, and Sentry with startup-appropriate thresholds.

Generates complete project scaffolding from tech stack selection to initial structure. Supports Next.js, FastAPI, Spring Boot and other major stacks with startup-optimized templates including auth, database, CI/CD, and deployment configuration.

Analyzes existing code and auto-generates unit and integration tests. Covers happy paths, edge cases, and error scenarios for Jest, Vitest, pytest, and Kotest frameworks.

3 hooks across 2 events