llm-ai
11
foundation-models
On-device LLM integration using Apple's Foundation Models framework. Use when implementing AI text generation, structured output, or tool calling.
rshankras
data-ai
结果数
53,183
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productivity-tools
11
ai-tools
Manage AI CLI tools (Claude Code, Gemini CLI, Codex CLI). Use when user asks about AI tool versions, updates, installation, or wants to update their AI CLI tools. Detects installed tools, checks versions, and retrieves update instructions from authoritative sources using delegation-first pattern.
melodic-software
tools
productivity-tools
11
cursor-docs
Single source of truth and librarian for ALL Cursor documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Cursor documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
melodic-software
tools
productivity-tools
11
agent-expert-creation
Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.
melodic-software
tools
productivity-tools
11
event-storming
AI-simulated event storming workshop with multi-persona support. Use when discovering domain events, commands, actors, and bounded contexts. Supports three modes - full-simulation (5 persona agents debate), quick (single-pass analysis), and guided (interactive with user). Orchestrates persona agents and synthesizes results.
melodic-software
tools
knowledge-base
11
socratic-teaching-scaffolds
Use when teaching complex concepts (technical, scientific, philosophical), helping learners discover insights through guided questioning rather than direct explanation, correcting misconceptions by revealing contradictions, onboarding new team members through scaffolded learning, mentoring through problem-solving question frameworks, designing self-paced learning materials, or when user mentions "teach me", "help me understand", "explain like I'm", "learning path", "guided discovery", or "Socratic method".
lyndonkl
documentation
llm-ai
11
ethics-review
AI and technology ethics review including ethical impact assessment, stakeholder analysis, and responsible innovation frameworks
melodic-software
data-ai
productivity-tools
11
ascent-feature-brief
Creates concise feature briefs for handoff to Claude Code. Use when users want to document a feature for implementation, need a spec for coding, want to capture architecture decisions for handoff, or are planning features to be built by an AI coding agent. Generates token-efficient implementation directives that communicate intent while delegating schema discovery to the coding agent.
JeremyKalmus
tools
machine-learning
11
model-selection
Choose appropriate model for custom agent tasks. Use when selecting between Haiku, Sonnet, and Opus for agents, optimizing cost vs quality tradeoffs, or matching model capability to task complexity.
melodic-software
data-ai
productivity-tools
11
duende-docs
Single source of truth and librarian for ALL Duende Software documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Duende documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms-full.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms-full.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
melodic-software
tools
academic
11
researching-ai-news
Research and compile the latest AI news from across the industry. Use this skill when asked to find AI news, get AI updates, research what's happening in AI, check for AI announcements, or gather intelligence on AI companies. Triggers include requests for "AI news", "latest AI developments", "what's new in AI", "AI industry updates", or news about specific AI companies (OpenAI, Anthropic, Google, Microsoft, Meta, Amazon, Nvidia, xAI, Mistral, Cohere, Apple, Salesforce).
jamesgray007
research
domain-utilities
11
domain-driven-design
Expert guidance for Domain-Driven Design architecture and implementation. Use when designing complex business systems, defining bounded contexts, structuring domain models, choosing between modular monolith vs microservices, implementing aggregates/entities/value objects, or when users mention "DDD", "domain-driven design", "bounded context", "aggregate", "domain model", "ubiquitous language", "event storming", "context mapping", "domain events", "anemic domain model", strategic design, tactical patterns, or domain modeling. Helps make architectural decisions, identify subdomains, design aggregates, and avoid common DDD pitfalls.
joaquimscosta
tools
machine-learning
11
symmetry-validation-suite
Use when you need to empirically test whether hypothesized symmetries actually hold in your data or model. Invoke when user mentions testing invariance, validating equivariance, checking if symmetry assumptions are correct, debugging symmetry-related model failures, or needs data-driven validation before committing to equivariant architecture. Provides test protocols and metrics.
lyndonkl
data-ai
machine-learning
11
verify-training-pipeline
Verify a CVlization training pipeline example is properly structured, can build, trains successfully, and logs appropriate metrics. Use when validating example implementations or debugging training issues.
kungfuai
data-ai
machine-learning
11
ml-system-design
End-to-end ML system design for production. Use when designing ML pipelines, feature stores, model training infrastructure, or serving systems. Covers the complete lifecycle from data ingestion to model deployment and monitoring.
melodic-software
data-ai
machine-learning
11
extract-hyperparameters
Identify and document model hyperparameters from papers. Use when setting up training configurations.
mvillmow
data-ai
machine-learning
11
verify-inference-example
Verify a CVlization inference example is properly structured, builds successfully, and runs inference correctly. Use when validating inference example implementations or debugging inference issues.
kungfuai
data-ai
machine-learning
11
train-model
Execute model training with optimization algorithms. Use when running training loops on datasets.
mvillmow
data-ai
database-tools
11
docker-database
Configure database containers with security, persistence, and health checks
mwguerra
databases
architecture-patterns
11
quality-attributes-taxonomy
The "-ilities" framework for non-functional requirements. Use when defining NFRs, evaluating architecture trade-offs, or ensuring quality attributes are addressed in system design. Covers scalability, reliability, availability, performance, security, maintainability, and more.
melodic-software
development