Loading...
Loading...
Found 251 Skills
Eva-skill: A Thinking Coaching & Viral Short Video Toolkit for Creators. It helps creators organize their desire to express, aids thinking with creator thinking tools, thinking lenses and MBTI lenses, reframes superficial problems, deconstructs concepts, expands content directions, and completes the production of voiceover short videos for platforms like Xiaohongshu, Douyin, and Video Account. It covers modules including Thinking Assistant, Creator Thinking Tool Library, Thinking Lenses, MBTI Lens, Superficial Problem Reframing, Viral Topic Selection, Viral Case Deconstruction, Title Anchor, User Question Validation, Title & Cover, Voiceover Script, Material Retrieval, Voiceover Performance, Post-Publishing Review, Sedimentation Mechanism, Fallback Mechanism, and Interactive Tone & Rhythm. Trigger Methods: /eva, /thinking-flow, /viral-short-video, /eva-think, /eva-lens, /eva-lenses, /eva-mbti, /eva-mbti-lens, /eva-reframe, /eva-shortvideo, /eva-topic, /eva-deconstruct, /eva-title-cover, /eva-script, /eva-performance, /eva-review, /eva-sediment, "Help me think", "My mind is messy", "Thinking Lens", "Scholar's Perspective", "MBTI Lens", "MBTI Lens", "MBTI", "Personality Type", "Reframe Problem", "Deconstruct Concept", "Help me make a voiceover video", "How to make this Xiaohongshu video", "Help me write a video script", "Help me review data", "Sediment", "Save", "Archive", "Continue next time"
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile performance with TensorBoard - Google's ML visualization toolkit
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
Open-source cheminformatics and machine learning toolkit for drug discovery, molecular manipulation, and chemical property calculation. RDKit handles SMILES, molecular fingerprints, substructure searching, 3D conformer generation, pharmacophore modeling, and QSAR. Use when working with chemical structures, drug-like properties, molecular similarity, virtual screening, or computational chemistry workflows.
Browser automation toolkit using Playwright MCP for testing web applications. Use when asked to navigate pages, click elements, fill forms, take screenshots, verify UI components, check console logs, debug frontend issues, or validate responsive design. Supports live browser interaction and accessibility snapshots.
Comprehensive pentesting toolkit using Kali Linux Docker container. Provides direct access to 200+ security tools without MCP overhead. Use when conducting security assessments, penetration testing, vulnerability scanning, or security research. Works via direct docker exec commands for maximum efficiency.
Debugging toolkit for AI agents. Diagnose symptoms via memory cache -> behavior cache -> codebase search, trace data flow, git-bisect bad commits, and compare output directories.
Financial time series analysis method toolkit. Covers stocks / commodity futures / cryptocurrencies / ETFs / foreign exchange / indices, full process from data acquisition to high-level analysis. Built-in 70+ analysis methods, covering 8 major method domains: time series testing, predictive modeling, cross-asset relationships, volatility risk, portfolio optimization, state recognition, commodity-specific analysis and network analysis. Tushare MCP tool (A shares/Hong Kong stocks/US stocks/futures/funds/macro) is preferred for data acquisition, and yfinance scripts are used to supplement assets not covered by tushare such as commodity futures (CL=F) and crypto (BTC-USD).
Use when starting any conversation, receiving a new task, or when uncertain which skill applies - establishes how to find and use all 64 toolkit skills, requiring Skill tool invocation before ANY response including clarifying questions
Points to the BlockchainSpider open-source Python/Scrapy toolkit for collecting on-chain data—transfer subgraphs around an address or tx, EVM and Solana block/transaction ingestion, receipts/logs, and optional label plugins. Use when the user wants to build datasets, offline traces, or research pipelines alongside blockchain-analytics-operations and solana-tracing-specialist—not as a substitute for RPC provider ToS, rate limits, or legal review of sensitive crawls.
Browser debugging and inspection toolkit for AI coding assistants via MCP protocol