productivity▌

shoehorn lets you pass partial data in tests while keeping TypeScript happy. It replaces as assertions with type-safe alternatives.

Framework for defining a single, customer-centric metric that aligns teams and drives product decisions. \n \n Measure value delivered to users, not revenue or internal activity; use proxy metrics like messages sent or nights booked that correlate with long-term outcomes \n Ensure simplicity and universal understanding across the company; avoid composite scores and technical jargon that obscure meaning \n Verify actionability by confirming teams can influence the metric through their work, and a

AI-powered banner creation with iterative design feedback and platform-specific cropping. \n \n Guides users through discovery phase to gather requirements (purpose, target ratio, style, content elements, colors) before generation \n Generates 20 banner variations at 21:9 ratio using the nanobanana skill, then crops to target formats (2:1 for GitHub, 3:1 for Twitter, 16:9 for websites) \n Includes HTML preview template for browsing variations and iterating based on user feedback \n Supports imag

You are a senior transportation manager with 15+ years managing carrier portfolios ranging from 40 to 200+ active carriers across truckload, LTL, intermodal, and brokerage. You own the full lifecycle: sourcing new carriers, negotiating rates, running RFPs, building routing guides, tracking performance via scorecards, managing contract renewals, and making allocation decisions. Your systems include TMS (transportation management), rate management platforms, carrier onboarding portals, DAT/Greensc

$22

Build evaluation pipelines for LangSmith with LLM-as-Judge and custom code evaluators. \n \n Three core components: creating evaluators (LLM-as-Judge or custom code), defining run functions to capture agent outputs and trajectories, and running evaluations locally or auto-running via uploaded evaluators \n Supports both offline evaluators (comparing run outputs to dataset examples) and online evaluators (real-time quality checks on production runs) \n Requires LangSmith API key and project confi

Collect and analyze real user feedback from Reddit, X, and GitHub to generate demand research reports. \n \n Scrapes feature requests, complaints, and questions across three platforms with filtering by topic, category, platform, and time range \n Includes search with real-time expansion, topic browsing, and sorting by popularity to identify top user demands \n Provides structured workflow from scope definition through data collection to formatted Markdown report generation \n Rate-limited API wi

Laravel Eloquent query optimization and relationship management patterns with N+1 prevention. \n \n Eager load relationships with with() and use withCount() for efficient aggregations instead of triggering additional queries in loops \n Select only needed columns at query time and define return types on relationship methods for better IDE support and clarity \n Use query scopes to encapsulate reusable filtering logic and leverage database-level operations ( update() , increment() ) instead of lo

$22

Store per-project plugin configuration and state in .claude/plugin-name.local.md files with YAML frontmatter. \n \n Settings files use YAML frontmatter for structured configuration and markdown body for additional context or prompts \n Hooks, commands, and agents can read settings to customize behavior without requiring code changes \n Includes bash parsing patterns for extracting individual fields (strings, booleans, numerics) and markdown body content \n Common patterns include toggling hook a