retrospective-facilitation
Facilitate effective retrospectives to capture lessons learned, celebrate successes, and identify actionable improvements for future iterations.
Discover blockchain health fitness skills, compare source repositories and read the instructions for each workflow.
Facilitate effective retrospectives to capture lessons learned, celebrate successes, and identify actionable improvements for future iterations.
Analyze user research data to uncover insights, identify patterns, and inform design decisions. Synthesize qualitative and quantitative research into actionable recommendations.
Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.
Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements.
Synthesize audience insights from multiple data sources into unified personas and segments. Use when relevant to the task.
Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.
Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements. Use when relevant to the task.
Generate executive-ready performance summaries with insights and recommendations. Use when relevant to the task.
Gather and analyze competitive intelligence from multiple sources. Use when relevant to the task.
Statistical analysis, outlier detection, and data transformation utilities.
Measure-first performance optimization that balances gains against complexity. Use when addressing slow code, profiling issues, or evaluating optimization trade-offs.
Automatically discover diagram and visualization skills when working with flowcharts, sequence diagrams, architecture diagrams, ER diagrams, Gantt charts, mindmaps, or any visual documentation using Mermaid.js....
Automatically discover realtime communication skills when working with realtime. Activates for realtime development tasks.
Automatically discover caching and performance skills when working with caching. Activates for caching development tasks.
Automatically discover workflow and task management skills when working with Beads. Activates for workflow development tasks.
Automatically discover collaboration and teamwork skills when working with collaboration. Activates for collaboration development tasks.
Design system and anti-patterns for professional UI. Ensures apps don't look "AI generated". Defines color palettes, typography, spacing, animations, and common anti-patterns to avoid. Used by Design Reviewer...
Master workflow controller for Lovable-style development. Creates working UI immediately from ANY prompt - no questions asked, no choices given. Routes to specialist sub-agents (ui-builder, dev-builder, desig...
Creates production-ready UI immediately from any description. Generates complete pages, components, and realistic mock data in FIRST response. Uses Next.js 14 + Tailwind + shadcn/ui. Never asks questions - in...
Premium app generation that creates WOW-factor experiences. Multi-page apps with smooth animations, zero TypeScript errors, and production-ready quality. Lovable-style experience: one prompt, complete app, inst...
Intelligent request routing for /toh command. Analyzes user intent, assesses confidence, detects IDE environment, and routes to the appropriate agent(s). Memory-first approach ensures context awareness. Trigge...
Supabase integration specialist. Handles database schema, authentication, Row Level Security (RLS), real-time subscriptions, and storage. Connects existing UI to real backend. Only called AFTER UI exists with...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.