深度學習
671 skills in 數據與 AI > 深度學習
raindrop
Manage Raindrop.io bookmarks, collections, tags, and highlights via API. Use when user mentions raindrop, bookmarks, saving links, organizing URLs, bookmark collections, or web highlights.
story-arborist
Analyze, diagnose, and reorganize story tree structure. Use when user says "check tree health", "find orphans", "move story", "rename story", "fix tree structure", "reparent stories", "validate tree", or when structural issues are suspected in story-tree.db. Focuses Claude on diagnosis while delegating mechanical operations to deterministic scripts. (project)
AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
scientific-schematics
Create publication-quality scientific diagrams using Nano Banana Pro AI with iterative refinement. AI generation is the default method for all diagram types. Generates high-fidelity images with automatic quality review. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
social-media-generator
This skill should be used when the user requests social media content creation for Twitter, Instagram, LinkedIn, or Facebook. It generates platform-optimized posts and saves them in an organized folder structure with meaningful filenames based on event details.
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
research
Run structured research experiments for Sunaba creature evolution. Use for creating experiments, investigating problems, making code changes, running training, and tracking progress across physics, morphology, neural, chemistry, and integration work.
onboard-new-org
Complete organization onboarding wizard for LimaCharlie. Discovers local cloud CLIs (GCP, AWS, Azure, DigitalOcean), surveys cloud projects, identifies VMs for EDR installation and security-relevant log sources (IAM, audit logs, network logs). Guides EDR deployment via OS Config (GCP), SSM (AWS), VM Run Command (Azure). Creates cloud adapters for log ingestion. Confirms sensor connectivity and data flow. Use when setting up new tenants, connecting cloud infrastructure, deploying EDR fleet-wide, or onboarding hybrid environments.
ideas-capture
Capture fleeting ideas via Apple Notes inbox. AI expands, evaluates, scores potential, and organizes by type (Patent, Startup, Business, Project). Commands - "process ideas", "show ideas", "expand [idea]", "evaluate [idea]".
mermaid-expert
Expert guidance for Mermaid.js diagramming library. Create flowcharts, sequence diagrams, class diagrams, state diagrams, Gantt charts, git graphs, and block diagrams. Use when working with Mermaid syntax, creating diagrams, or visualizing complex concepts and workflows.
skill-creator
This skill should be used when the user asks to "create a skill", "build a skill", "write a new skill", "generate SKILL.md", "write skill frontmatter", "package a skill", "organize skill content", "add progressive disclosure", needs guidance on skill structure, bundled resources (scripts/references/assets), or wants to extend Claude's capabilities with specialized knowledge, workflows, or tool integrations.
seo-engineer
Principal SEO Engineer for search-optimized web experiences. Use when implementing technical SEO, optimizing Core Web Vitals, creating structured data, building SEO-friendly architectures, or improving organic search visibility. Covers SSR/SSG strategies, meta tags, schema markup, performance optimization, and evidence-based SEO practices.
task-assistant
Intelligent task management via the `task` CLI. Invoke when users ask to: create/list/update/delete tasks, search tasks (text or semantic), track work items with due dates, organize tasks into projects, run batch operations, generate activity reports, or manage recurring tasks. Supports natural language dates and Google Calendar sync.
earnings-calendar
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
Rails Conventions & Patterns
Comprehensive Ruby on Rails conventions, design patterns, and idiomatic code standards. Use this skill when writing any Rails code including controllers, models, services, or when making architectural decisions about code organization, naming conventions, and Rails best practices. Trigger keywords: rails conventions, design patterns, idiomatic code, best practices, code organization, naming conventions, MVC patterns, Rails architecture
pytorch
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch models.
Unnamed Skill
Apply when styling components with Tailwind CSS: responsive design, component patterns, and class organization.
go-test
Provides Go standard testing package expertise and best practices. Ensures proper table-driven test patterns, subtests organization, benchmark implementation, and test coverage strategies. Specializes in testing.T/testing.B usage, test helpers, mock interfaces, race detection, and integration testing patterns following Go conventions. Use when: writing Go test files (_test.go), implementing table-driven tests with subtests (t.Run), creating benchmark tests (testing.B), writing example tests for documentation, implementing test helpers and fixtures, mocking interfaces for unit tests, measuring code coverage with go test -cover, detecting race conditions with -race flag, or organizing integration tests in Go projects.
maintaining-jesse-knowledge
Use when you need to add, update, or organize knowledge about Jesse in your personal knowledge base - covers structure, tagging, and best practices