Create a new blank Figma file. Use when the user wants to create a new Figma design or FigJam file, or when you need a new file before calling use_figma. Handles plan resolution via whoami if needed. Usage — /figma-create-new-file [editorType] [fileName] (e.g. /figma-create-new-file figjam My Whiteboard)
Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
AI-driven interactive design generation and style analysis with Impeccable design system. Two modes — (1) Generate: 3 distinct, fully-animated design variations from a prompt with scroll reveals, micro-interactions, animated charts, and functional JS patterns; (2) Analyze: audit existing sites for style consistency, extract design tokens, generate style-matched new pages, and produce migration plans. Built-in scenario materials (10 domains), design system references (typography, color, spatial, motion, micro-interactions, interaction, responsive, UX writing, style audit), interactive pattern library, and anti-AI-slop quality gates. Triggers on: "design options for X", "show me variations", "vary this design", "audit", "analyze my site", "check consistency", "match this style", "extract tokens", "new page matching my site", "migrate", "add motion", "dramatize", "make interactive".
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.
Fetch and fast-forward the OpenWork enterprise repo and its subrepos to their latest remote heads when it is safe to do so. Triggers when user mentions: - "get latest changes" - "update context repo to latest" - "pull all subrepos"
Merge the current PR, wait for merge queue/checks to complete, then switch to main and pull
Designs database schemas, data models, relationships, indexes, and migrations for relational, NoSQL, time-series, and warehouse databases. Covers normalization, denormalization, ETL optimization, event sourcing, star schema, and performance tuning. Trigger keywords: schema, table, column, migration, ERD, normalize, denormalize, index, foreign key, primary key, constraint, relationship, SQL, DDL, data model, database design, data warehouse, star schema, snowflake schema, time-series, event sourcing, dimension table, fact table, ETL, data pipeline, OLAP, OLTP.
Analyzes and optimizes SQL queries for better performance, including index design, query rewriting, execution plan analysis, and database tuning. Covers PostgreSQL-specific optimizations, N+1 prevention, CTE/window function optimization, join strategies, and common anti-patterns. Trigger keywords: SQL, query optimization, EXPLAIN, EXPLAIN ANALYZE, index, slow query, execution plan, query plan, join optimization, subquery, CTE, common table expression, window function, partition, N+1, query cache, database performance, sequential scan, index scan, bitmap scan, nested loop, hash join, merge join, PostgreSQL, query tuning, table scan, cardinality, statistics, vacuum, analyze.
ChatGPT use cases and prompts for product teams | Part of naiba-openai-work-assistant
ChatGPT use cases and prompts for sales teams | Part of naiba-openai-work-assistant
Custom Docker Compose local development patterns. Use when working with Docker-based local environments, container configuration, or troubleshooting Docker setups.
Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
Comprehensive error handling patterns and strategies including Rust Result/Option, API error responses, data pipeline error handling, and security-aware error handling. Use when implementing exception handling, error recovery, retry logic, circuit breakers, fallback mechanisms, graceful degradation, or designing error hierarchies. Triggers: error, exception, try, catch, throw, raise, Result, Option, panic, recover, retry, fallback, graceful degradation, circuit breaker, error boundary, 500, 4xx, 5xx, thiserror, anyhow, RFC 7807, error propagation, error messages, stack trace.
Go language expertise for writing idiomatic, production-quality Go code. Use for Go development, concurrency patterns, error handling, testing, and module management. Triggers: go, golang, goroutine, channel, interface, struct, pointer, slice, map, defer, context, error, gin, echo, fiber, cobra, viper, gorm, sqlx, go mod, go test, effective go, errgroup, sync, mutex, waitgroup.
Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.
Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.
Creates and manages Infrastructure as Code using Terraform/OpenTofu for cloud resource provisioning, module development, state management, and multi-environment deployments. Trigger keywords: terraform, tf, opentofu, tofu, infrastructure, IaC, infrastructure as code, provision, cloud, aws, azure, gcp, kubernetes, k8s, module, provider, state, backend, plan, apply, workspace, resource, data source, output, variable, locals, import, taint, destroy.
