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ai-topic-scout
AI短视频选题追踪系统。自动抓取指定YouTube博主视频和Twitter博主推文，分析内容，聚合跨平台热点主题，生成带热度评分和选题建议的分析报告，结果写入钉钉AI表格。适用于：定时抓取AI领域博主内容、分析短视频选题热度、跨平台话题聚合、生成选题建议。触发词："抓取选题"、"分析选题"、"选题scout"、"topic scout"、"抓取博主内容"、"选题分析"。
analyze-results
Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
pro-workflow
Complete AI coding workflow system. Orchestration patterns, 18 hook events, 5 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.
insights
Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.
cfn-pattern-extraction
Extracts patterns from CFN Loop retrospective data to identify recurring issues and improvement opportunities. Focuses on agent synergy, feedback resolution, and task optimization patterns. Helps teams learn from past sprints.
search-cities
List cities for a given state using the bundled background data. Use this skill to validate state inputs or expand destination choices before flight/restaurant/attraction/driving/accommodation lookups.
jta
Translate JSON i18n files to multiple languages with AI-powered quality optimization. Use when user mentions translating JSON, i18n files, internationalization, locale files, or needs to convert language files to other languages.
pipeline
A workflow automation tool for running dlt pipelines and Temporal workflows in SignalRoom. Handles data syncing from multiple sources (Everflow, RedTrack, S3) with scheduled execution, status monitoring, and troubleshooting guides for common issues.
us-market-bubble-detector
Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.
cfn-agent-spawning
A collection of shell scripts for spawning and managing agent processes with provider configuration. Provides standardized wrappers and templates for agent execution, but lacks detailed documentation on error handling and security considerations.
moai-formats-data
Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications
moai-formats-data
A Python library focused on data format optimization for LLM communication, featuring custom TOON encoding for token reduction, fast JSON/YAML processing using orjson, and schema-based data validation. Useful for applications needing efficient data serialization and validation.
store-data-structures
Zustand store data structure patterns for LobeHub. Covers List vs Detail data structures, Map + Reducer patterns, type definitions, and when to use each pattern. Use when designing store state, choosing data structures, or implementing list/detail pages.
data-fetching
Data fetching architecture guide using Service layer + Zustand Store + SWR. Use when implementing data fetching, creating services, working with store hooks, or migrating from useEffect. Triggers on data loading, API calls, service creation, or store data fetching tasks.
fal-generate
Generate images and videos using fal.ai AI models
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
json-render-core
Core package for defining schemas, catalogs, and AI prompt generation for json-render. Use when working with @json-render/core, defining schemas, creating catalogs, or building JSON specs for UI/video generation.
pinecone
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
chroma
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
weights-and-biases
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
lambda-labs-gpu-cloud
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
modal-serverless-gpu
Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
higress-auto-router
Configure automatic model routing using the get-ai-gateway.sh CLI tool for Higress AI Gateway. Use when: (1) User wants to configure automatic model routing, (2) User mentions 'route to', 'switch model', 'use model when', 'auto routing', (3) User describes scenarios that should trigger specific models, (4) User wants to add, list, or remove routing rules.