productivity▌

Generate a comprehensive, investor-ready business case document covering market opportunity, solution, competitive landscape, financial projections, team, risks, and funding ask for startup fundraising and strategic planning.

Persistent markdown-based planning system for organizing complex multi-step tasks and research projects. \n \n Creates three working files ( task_plan.md , findings.md , progress.md ) in your project directory to serve as persistent \"working memory\" across agent commands \n Enforces the 2-Action Rule: save key findings to disk immediately after viewing/searching to prevent multimodal information loss \n Includes a 3-Strike Error Protocol for systematic debugging: diagnose and fix on attempt 1,

Streamlined PyTorch training framework with automatic distributed training, callbacks, and minimal boilerplate. \n \n Organizes PyTorch code into LightningModule with training_step, validation_step, and test_step methods; Trainer class handles device management, mixed precision, checkpointing, and logging automatically \n Supports distributed training strategies including DDP, FSDP, and DeepSpeed with single-line configuration; scales from laptop to multi-node clusters without code changes \n Bu

Red team simulation framework based on MITRE ATT&CK phases and adversary tactics. \n \n Covers 12 attack phases from reconnaissance through impact, with objectives and techniques for each stage \n Includes specific guidance for privilege escalation, defense evasion, lateral movement, and Active Directory attacks on Windows and Linux targets \n Provides reconnaissance principles, initial access vectors, credential harvesting methods, and C2 operational security practices \n Emphasizes detect

Curated collection of role-based, task-specific, and analytical prompt templates for common development workflows. \n \n Includes 15+ ready-to-use prompts across categories: expert developer, code reviewer, technical writer, system architect, debugging, refactoring, testing, and security review \n Covers prompt engineering techniques like chain-of-thought, few-shot learning, persona patterns, and structured output formatting \n Provides a prompt improvement checklist covering objective clarity,

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Event-Driven Architecture patterns for Spring Boot using domain events, transactional listeners, and Kafka messaging. \n \n Covers domain event design, ApplicationEventPublisher integration, and @TransactionalEventListener configuration for local event handling with AFTER_COMMIT phase guarantees \n Supports distributed messaging via Kafka and Spring Cloud Stream for inter-service communication with functional consumer beans \n Implements the transactional outbox pattern for reliable event publis

Generate engaging, localized release notes from flexible input. Optionally pair with promotional text updates.

Gemini CLI \n Use Gemini in one-shot mode with a positional prompt (avoid interactive mode). \n Quick start \n \n gemini \"Answer this question...\" \n gemini --model <name> \"Prompt...\" \n gemini --output-format json \"Return JSON\" \n \n Extensions \n \n List: gemini --list-extensions \n Manage: gemini extensions <command> \n \n Notes \n \n If auth is required, run gemini once interactively and follow the login flow. \n Avoid --yolo for safety. \n

GraphQL schema design, resolver patterns, and production safety best practices. \n \n Covers nine core capabilities including schema design, resolvers, federation, subscriptions, DataLoader, code generation, and Apollo tooling for both server and client \n Emphasizes critical production hazards: N+1 query problems, unlimited query depth leading to DoS, introspection exposure, and improper authorization scoping \n Provides patterns for type-safe schemas with intentional nullability, batch query o