Loading...
Loading...
Found 39 Skills
Use when working with Anthropic Claude Agent SDK. Provides architecture guidance, implementation patterns, best practices, and common pitfalls.
Per-package implementation review producing structured findings per review-findings.schema.json
Implement approved OpenSpec proposal using DAG-scheduled multi-agent parallel execution
Extract wisdom, insights, and actionable takeaways from YouTube videos, blog posts, articles, or text files. Use when asked to analyse, summarise, or extract key insights from a given content source. Downloads YouTube transcripts, fetches web articles, reads local files, performs analysis, and saves structured markdown.
Creates structured development plans with phased task breakdowns, requirements, and QA checklists. Use when the user explicitly asks to create a dev plan, development plan, or document development requirements.
Train custom TTS voices for Piper (ONNX format) using fine-tuning or from-scratch approaches. Use when creating new synthetic voices, fine-tuning existing Piper checkpoints, preparing audio datasets for TTS training, or deploying voice models to devices like Raspberry Pi or Home Assistant. Covers dataset preparation, Whisper-based validation, training configuration, and ONNX export.
Analyze code for performance and efficiency improvements
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents. Provides architecture guidance, implementation patterns, deployment strategies, observability, quality evaluations, multi-agent orchestration, and MCP server integration.
Creating and maintaining CLAUDE.md project memory files that provide non-obvious codebase context. Use when (1) creating a new CLAUDE.md for a project, (2) adding architectural patterns or design decisions to existing CLAUDE.md, (3) capturing project-specific conventions that aren't obvious from code inspection.
Fetch Jira ticket details from Jira Cloud and prepare for PRD planning. Use when user asks to fetch, load, or work on a Jira issue (e.g., 'Fetch JIRA-123', 'Load issue XYZ-456', 'I'm working on ticket ABC', 'Get details for PROJ-789'). This skill retrieves ticket link, ID, title, and description, then triggers PRD skill to create an implementation plan based on the ticket context.
Use when discussing or working with DeepEval (the python AI evaluation framework)
This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", or needs guidance on MCP Apps SDK patterns, UI-resource registration, MCP App lifecycle, or host integration. Provides guidance for building MCP Apps with interactive UIs.