NLP

Generate comprehensive implementation tutorial documents with deep background, context, rationale, and step-by-step milestones. Use when the user wants to learn by building—creating detailed guides instead of making direct code changes. Triggers on requests like "create a tutorial for", "implementation guide", "teach me how to implement", or explicit /tutorial invocation.

Register and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.

Dump full Tasuku context for agent consumption. Use when user says /tk:context or asks for full context, project state, or needs to understand the entire task landscape.

Extracts specific fields from JSON files efficiently using jq instead of reading entire files, saving 80-95% context. Use this skill when querying JSON files, filtering/transforming data, or getting specific field(s) from large JSON files

Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.

Consult the Oracle (GPT-5.2 via Codex CLI) for a second opinion or alternative perspective on a problem.

Microsoft Presidio PII detection API for Vigil Guard v2.0.0. Use for dual-language PII (Polish + English), spaCy models, entity deduplication, custom recognizers (PESEL, NIP, REGON), integration with 3-branch detection, and performance optimization.

Persistent memory system for AI agents running on Cloudflare's edge network. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when you need to store decisions, learnings, errors, or context that should persist beyond the current session.

Model dependencies using Effect-style Context, Layer, and Service patterns with compile-time safety. Use when designing DI systems, modeling environments, or building Effect-TS applications.

This skill generates comprehensive chapter content for intelligent textbooks after the book-chapter-generator skill has created the chapter structure. Use this skill when a chapter index.md file exists with title, summary, and concept list, and detailed educational content needs to be generated at the appropriate reading level with rich non-text elements including diagrams, infographics, and MicroSims. (project, gitignored)

Dynamic skill discovery and matching for any task context. Invoke when: - Starting any task to discover relevant skills - Need to find specialized skills for current context - Agent/command needs skill recommendations Trigger phrases: "match skills", "find skills", "what skills for", "recommend skills", "which capabilities", "skill lookup", "applicable skills" Examples: - "Match skills for TDD cycle with zod validation" → outputs backend-zod, backend-vitest - "What skills for React landing page?" → outputs frontend-master, frontend-aceternity

This skill automatically generates a comprehensive glossary of terms from a learning graph's concept list, ensuring each definition follows ISO 11179 metadata registry standards (precise, concise, distinct, non-circular, and free of business rules). Use this skill when creating a glossary for an intelligent textbook after the learning graph concept list has been finalized.

Research-driven critique and enhancement of Amelia architecture or ideas docs. Use with GPT-5.2 when given a design/architecture doc to analyze concepts, find sources, and propose improvements plus OSS candidates.

ChatGPT-style deep research strategy with problem decomposition, multi-query generation (3-5 variations per sub-question), evidence synthesis with source ranking, numbered citations, and iterative refinement. Use for complex architecture decisions, multi-domain synthesis, strategic comparisons, technology selection. Keywords: architecture, integration, best practices, strategy, recommendations, comparison.

Managing design tokens and system context for LLM-driven UI development. Covers loading, persisting, and optimizing design decisions within context windows.

Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.

Fetch code from GitHub repositories as LLM-friendly context. Use when needing to reference, analyze, or understand code from a GitHub repo/directory/file.

Transforms simple user requests into enriched descriptions with traceable findings. Use when interpreting vague user intent, preparing context for agent generation, or synthesizing actionable insights from available project context.

README quality standards for engaging, accessible, scannable content including problem-solution hooks, plain language (no unexplained jargon), acronym context, paragraph limits (≤5 lines), benefits-focused language, visual hierarchy, and progressive disclosure. Essential for creating effective README files that welcome and guide users.

Add or remove MCP (Model Context Protocol) servers to local project scope. Use this skill when the user wants to add or remove specific MCP servers like context7 or chrome-devtools for the current project. For enabling/disabling or global MCP management, direct users to use the native /mcp command.