Ai skills

This skill scans folders or ZIPs, extracts key invoice data by type, and generates a detailed, verifiable reporting package.

This skill helps you generate and edit videos using Google's Veo models by guiding prompts, masks, and durations with explicit defaults.

This skill creates tailored resumes for specific jobs by researching roles, surfacing undocumented experiences, and generating optimized multi-format resumes

This skill helps you generate, edit, and compose images using Gemini Nano Banana models with configurable prompts, models, aspect ratios, and safety levels.

This skill enables commercial-grade speech synthesis and transcription using Gemini-TTS and Chirp 3, supporting multi-speaker voices and diarization.

This skill enables autonomous multi-step research using the Gemini Deep Research Agent to plan, search, read, and synthesize findings.

This skill helps you generate and edit videos with Veo 2 and Veo 3 models using text prompts, image prompts, and advanced controls.

This skill helps you create and review comprehensive documentation criteria using templates and creation rules to ensure consistent artifacts.

This skill helps you select and document a robust implementation strategy using meta-cognitive analysis, risk control, constraints, and verification plans.

This skill helps you apply language-agnostic coding principles to improve maintainability, readability, and quality across features and refactors.

This skill performs metacognitive task analysis and skill selection to estimate scope and identify relevant skills with confidence.

This skill guides technical decision making, detects anti-patterns, and improves code quality and QA workflows for AI development projects.

This skill helps configure AWS MCP servers for AI agents to query AWS knowledge, APIs, and best practices efficiently.

This skill analyzes a team session export against Claude Code best practices and delivers a structured, evidence-based improvement report.

This skill coordinates a multi-agent ideation session to convert a seed concept into actionable briefs without generating ideas itself.

This skill helps design and implement retrieval-augmented generation systems with vector databases, embeddings, and grounding for knowledge-grounded AI.

This skill helps Spring Boot developers integrate LangChain4j with declarative AI services and auto-configuration for production-grade AI apps.

This skill enables building agentic applications by defining tools and function calls with LangChain4j, enabling real-time API access and external integrations.

This skill provides CloudFormation patterns for AWS Bedrock resources to deploy agents, knowledge bases, data sources, guardrails, prompts, flows, and

This skill helps you optimize retrieval by selecting and tuning chunking strategies for RAG systems and large documents.

This skill provides testing strategies for LangChain4J applications, enabling reliable unit, integration, and end-to-end tests with mocks and Testcontainers.