Ai skills

This skill helps you create, review, and improve data visualisations using SWD principles for clearer charts, narratives, and decision-ready reports.

This skill helps you discover and validate configuration schemas from schemastore.org to ensure correct structure and supported options.

This skill designs and evaluates prompts to maximize LLM performance, reducing tokens and latency while ensuring reliability across tasks.

This skill helps you create and update mermaid diagrams following best practices, including color themes, labeling, and formatting guidelines.

This skill helps design and optimize retrieval-augmented generation systems with vector databases, chunking, and evaluation for reliable knowledge grounding.

This skill reverse-engineers a design system from code and screenshots to produce a developer-ready design reference for components.

This skill helps you optimize large language model fine-tuning using parameter-efficient methods, dataset validation, and production deployment.

This skill defers task execution by scheduling a background timer and confirming details before running the requested action.

This skill helps you design and operate production-grade ML pipelines, orchestrating training, feature stores, and experiment tracking for reliable ML

This skill guides you to create MCP Apps by registering tools and resources, wiring UI to hosts, and choosing framework templates.

This skill guides post-development code reviews by orchestrating parallel sub-agents to surface findings and enforce fixes.

This skill helps you train and export Piper TTS voices for offline deployment, covering data prep, validation, fine-tuning, and ONNX export.

This skill helps create and maintain CLAUDE.md project memories by capturing non-obvious conventions, patterns, and gotchas beyond code inspection.

This skill guides you in building and deploying AI agents with AWS Strands Agents SDK and Bedrock AgentCore, including architecture, observability, and

This skill helps you analyse written content using rigorous logical reasoning, producing concise, actionable critique that preserves domain insights.

This skill extracts key insights, actionable takeaways, and notable quotes from YouTube transcripts, blogs, and texts to inform decisions quickly.

This skill helps you evaluate LLM applications using Deepeval's pytest-based metrics and tracing to ensure quality and safety.

This skill creates structured development plans with phased tasks, requirements, and QA checklists to guide project execution.

This skill helps you set up and troubleshoot Home Assistant automations and dashboards by generating YAML configurations and inspecting entities.

This skill guides you to apply Mantel brand styles to diagrams and frontend components for consistent visuals.

This skill de-slots and harmonizes paper voice across sections markdowns while preserving meaning and citations.