speak-hello-world
Create a minimal working Speak language learning example. Use when starting a new Speak integration, testing your setup, or learning basic Speak API patterns for language tutoring. Trigger with phrase…
Browse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
Create a minimal working Speak language learning example. Use when starting a new Speak integration, testing your setup, or learning basic Speak API patterns for language tutoring. Trigger with phrase…
Execute TwinMind secondary workflow: Action item extraction and follow-up automation. Use when automating meeting follow-ups, extracting tasks, or integrating with project management tools. Trigger wi…
Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Multi-Agent Supervisors (MAS) for multi-agent orchestration. Use when build…
Evaluate agent performance using a structured scoring rubric
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
Expert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with foc…
Agent skill for release-swarm - invoke with $agent-release-swarm
Delegate tasks across multi-agent architectures with proper context preservation.
Execute TwinMind primary workflow: Meeting transcription and summary generation. Use when implementing meeting capture, building transcription features, or automating meeting documentation. Trigger wi…
Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans across different frameworks
Launches specialized Claude agents for targeted tasks. Analyzes requirements, selects appropriate agent, and executes with optimized configuration.
Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use…
Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams,…
Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model selection.
Expert task distributor specializing in intelligent work allocation, load balancing, and queue management. Masters priority scheduling, capacity tracking, and fair distribution with focus on maximizin…
Create your first TwinMind meeting transcription and AI summary. Use when starting with TwinMind, testing your setup, or learning basic transcription and summary patterns. Trigger with phrases like "t…
Run and manage ad-hoc AI prompts in sgai workspaces without starting a full agentic session. Use when you need to run a one-off AI prompt against a workspace, check the status of a running ad-hoc prom…
Design AI agents with recommended patterns and architectures
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building s…
Automatically applies when designing multi-agent systems. Ensures proper tool schema design with Pydantic, agent state management, error handling for tool execution, and orchestration patterns.
Create well-structured prompts for AI agents using proven architecture patterns. Use when users ask to write agent prompts, system prompts, or agent instructions, or want to improve existing prompts t…
Create tailored resume from job + source resume. Orchestrates the rewriting of bullet points to emphasize relevant experience without fabrication.
AI agent workflow patterns including ReAct agents, multi-agent systems, loop control, tool orchestration, and autonomous agent architectures. Use when building AI agents, implementing workflows, creat…