All Skills

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

Automate Zoho Inventory tasks via Rube MCP (Composio). Always search tools first for current schemas.

Guide for building serverless Python applications on Modal - a cloud platform for running AI/ML workloads, GPU-accelerated code, web endpoints, scheduled jobs, and batch processing with minimal configuration. Use when deploying Python code to Modal's infrastructure, running GPU inference, creating web APIs, processing data at scale, or building AI applications.

Automate Baserow tasks via Rube MCP (Composio). Always search tools first for current schemas.

Generate platform-specific social post variants (Twitter/X, LinkedIn, Reddit) from one source input. Works with or without Node.js script. Includes platform reasoning, quality review, and guardrails against cross-posting spam.

Comprehensive OpenTUI skill for building terminal user interfaces. Covers the core imperative API, React reconciler, and Solid reconciler. Use for any TUI development task including components, layout, keyboard handling, animations, and testing.

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.

Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.

In-depth code review for large PRs (>500 lines). Full analysis including architecture, performance, security, and maintainability.

Python configuration management via environment variables and typed settings. Use when externalizing config, setting up pydantic-settings, managing secrets, or implementing environment-specific behavior.

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.

Universal standards for version control, branching, and team collaboration.

Identifies, scores, and prioritizes business risks across operational, financial, strategic, compliance, and technology domains. Produces a risk register with mitigation strategies and monitoring plans.

Check for AgentReverse skill updates on session start

Standards for performing high-quality, readable code reviews.

# EAS Build Error - View latest build status and errors Show the status and errors from the latest EAS build. ## Usage ``` /eas-build-error # Latest build (any platform) /eas-build-error ios # Latest iOS build /eas-build-error android # Latest Android build /eas-build

Re-enable the skill bus after pausing. Restores subscription processing.

This skill should be used when the user wants to "implement this", "execute a plan", "work on a ticket or issue", "build from a description", mentions implementation execution, or is working on implementing from plans, tickets or issues, or descriptions.

# Product Brief Creation Create comprehensive product briefs from market, domain, and technical research. ## Agent Mary (Analyst) - `bmad-analyst-mary` ## Workflow 1. Conduct market research (competitors, trends, opportunities) 2. Perform domain research (problem space, stakeholders, pain points)

Universal standards for high-performance software development across all frameworks.

This skill performs local-first code review — analyzes uncommitted changes (or PRs) against project coding guidelines using up to 6 parallel review agents (bug detection, security/logic, guideline compliance ×2, code simplification, test coverage). HIGH SIGNAL only: real bugs, logic errors, security concerns, and guideline violations.

Standards for maintaining code hygiene, automated checks, and testing integrity.

Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.