AI & ML

markusstrasser Skill

Use when: designing/critiquing any interface, tool, UI, feedback loop, or agent-facing representation/cockpit/instrument; 'how should this feel', 'why is this clunky'. Victor/Norman/Engelbart lenses. NOT visual styling or ideation.

markusstrasser Bundle

Debug why MCP servers aren't loading in Claude Code. Use this when user reports MCPs not appearing in /mcp list despite being configured.

marcus Bundle

Design, implement, refactor, and review software that exposes owned capabilities across human interfaces, agent interfaces, and APIs without duplicating business logic or allowing surfaces to drift. Use when choosing or evolving UI, TUI, native, CLI, API, or MCP surfaces; adding a feature to a multi-surface product; preparing a clean future API boundary; reviewing surface-only behavior; or designing parity and contract tests. Keep selected surfaces semantically aligned through one shared application core while allowing each surface appropriate ergonomics and transport behavior.

markusstrasser Bundle

Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.

bcastelino Skill

Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (s...

bcastelino Skill

Expert in LangGraph, the production-grade framework for building stateful, multi-actor AI applications. Use when building agent graphs, managing state, or implementing persistence with checkpoints.

bcastelino Bundle

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate exte...

bcastelino Skill

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, ...

thesoftwarehouse Bundle

Create custom agents (.agent.md) for GitHub Copilot in VS Code. Provides templates, guidelines, and a structured process for building agent definitions that describe behavior, personality, responsibilities, and problem-solving approaches. Use when creating, reviewing, or updating .agent.md files.

thesoftwarehouse Bundle

Create custom prompt files (.prompt.md) for GitHub Copilot in VS Code. Provides templates, guidelines, and a structured process for building prompt files that trigger specific workflows routed to the right custom agent, with model selection inferred from that agent. Use when creating, reviewing, or updating .prompt.md files.

thesoftwarehouse Skill

LLM prompt engineering patterns: structure, optimization, security, templates, evaluation, and anti-patterns. Use when designing, writing, optimizing, or reviewing prompts for LLM applications (system prompts, user prompts, RAG templates, agent instructions, chatbot personas). NOT for Copilot customization — use tsh-creating-prompts for that.

marcus Bundle

Implement single-writer queue pattern for SQLite in multi-process environments. Use when building CLI tools, local apps, or agent systems where multiple processes may write to SQLite concurrently. Covers file locking (flock/LockFileEx), WAL mode, timeout handling, and diagnostic error messages. Works for Go, Rust, Python, JavaScript/Node.

marcus Bundle

Plan, build, refactor, and review software from the user journey outward, using a working steel thread for new capabilities and tracing the affected journey for existing behavior. Use by default for software planning, implementation, debugging, refactoring, testing, technical decision-making, and code review unless the user explicitly requests enterprise architecture governance or invokes a more specialized conflicting approach. Optimize for useful behavior, iterative delivery, clear conventions, replaceable seams, and a maintainable agent and developer experience without speculative hardening or overarchitecture.

marcus Bundle

Coordinate Claude Code agent teams for td-watch development. Use when creating teams, assigning tasks, running team sessions, or when any agent needs to understand team coordination rules. Covers roles, file ownership, friction protocol, quality gates, and common team configurations.

marcus Bundle

Create state-of-the-art interactive online courseware with AI agents. Covers course architecture, multimedia generation (narration, video, images, sound), interactive patterns (branching scenarios, simulations, gamification), SCORM/xAPI/cmi5 packaging for LMS delivery, and collaborative agent-human workflows. Use when building courses, training content, e-learning modules, or educational experiences.

marcus Bundle

Set up and run autonomous overnight coding loops that process td epic tasks one at a time. Includes the loop runner, Rich TUI cockpit dashboard, and prompt template. Use when automating multi-day feature development across many tasks with td for state management.

marcus Bundle

Generate or edit images with Google's Nano Banana Pro image model through the bundled Gemini API script. Use for text-to-image generation, image-to-image edits, or requests for 1K, 2K, or 4K Gemini image output.

sk-labs Skill

MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

bcastelino Bundle

Interactive guide for creating, scaffolding, and iterating on Agent Skills. Use when the user wants to build a skill, write a SKILL.md, generate frontmatter, define trigger phrases, validate, package, or distribute a skill.

bcastelino Skill

Apply compaction, masking, and caching strategies to optimize context windows. Use when reducing token usage or improving LLM context efficiency.

marcus Bundle

Connect to local Ollama LLM and stream responses using LiteLLM in Python. Includes async streaming, retry logic, and thinking model support.

marcus Bundle

Build Python orchestrators that spawn multiple cursor-agent processes in parallel, capture their output, handle timeouts, log results, and verify task completion. Use this skill when automating bulk tasks via cursor-agent from the terminal.

sk-labs Skill

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

sk-labs Skill

Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring explicit user mentions.

yunaamelia Skill

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.

yunaamelia Skill

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

yunaamelia Skill

MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

yunaamelia Bundle

API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

yunaamelia Bundle

Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

yunaamelia Skill

Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work.

yunaamelia Skill

Test-Driven Development workflow principles. RED-GREEN-REFACTOR cycle.

yunaamelia Bundle

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

codingsamss Bundle

Create a compact handoff document for another agent, machine, or fresh session. Supports temporary handoff files and persistent Obsidian `07_交接台` task handoffs with external large artifacts under iCloud `AgentArtifacts/`.

pvillega Skill

Deep Go operational intuition — GC tuning (GOGC/GOMEMLIMIT), GOMAXPROCS in containers, escape analysis, pprof/trace, goroutine leaks, govulncheck, memory model. Load when tuning runtime, diagnosing leaks/GC pressure, reviewing escape analysis, or hitting module/build quirks. Skip for ordinary Go coding, channel syntax, or style debates. Triggers on: "GOMEMLIMIT", "GOGC tuning", "GOMAXPROCS container", "automaxprocs", "escape analysis", "pprof mutex profile", "goroutine leak", "govulncheck", "happens-before".

abdullah1854-claudesuperskills Bundle

Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.

yunaamelia Skill

Nest.js framework expert specializing in module architecture, dependency injection, middleware, guards, interceptors, testing with Jest/Supertest, TypeORM/Mongoose integration, and Passport.js authentication. Use PROACTIVELY for any Nest.js application issues including architecture decisions, testing strategies, performance optimization, or debugging complex dependency injection problems. If a specialized expert is a better fit, I will recommend switching and stop.