Data & AI

当用户提供一个蛋白质文件（.pdb）、运行时间（ns)和输出路径时，进行md模拟

Run a simulation example and analyze the output

Tool: Google Gemini API with 2M token context

Refresh Pinecone article embeddings after MDX article changes or RAG chunking and metadata changes. Use when content updates should be reflected in chat retrieval or when the vectorization pipeline changes.

Sibyl 反对者 agent - 挑战主流假设，寻找反面证据和盲点

Control omi reasoning effort level to balance depth, rigor, latency, and token cost.

Analyze Liza agents logs

AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.

Tenant-specific RAG service for company knowledge in the voice assistant platform.

Dynamically scale model token budgets using resource telemetry, prompt size, and profile presets. Use when token limits must adapt to hardware constraints, per-request size, or safe/fast/quality modes.

Select the correct Ollama base model (and adapters) based on task type, resource fit, and registry availability. Use to translate Modelfile FROM/ADAPTER decisions into agent behavior.

Coordinate multiple agents working simultaneously. Use when splitting tasks across agents or when avoiding overlapping diffs with shared files.

Evolutionary programming agent framework. Provides strategic guardrails, pain-reflection loops, and Evolver synergy.

Use when splitting complex work into parallelizable tasks and coordinating multiple agents. Focus on clear task boundaries, shared context, and consolidation of results.

Get the current market value of a vehicle from its VIN using the CarsXE API. Use this when a user asks how much a car is worth, wants to know its value, or is thinking about buying/selling a vehicle.

Prompt debugging skills for LLM developers. Convert conversations from OpenAI, Anthropic, Google, and Helicone into .echo format, and integrate .echo export into your apps. Use with EchoSpace — the local-first prompt debugging workspace.

-Automatically convert documentation websites, GitHub repositories, and PDFs into Claude AI skills in minutes.

Assess organizational AI maturity. TRIGGERS - Use when user needs help with ai-maturity-model related tasks.

Interpret results and build arguments

Deterministic wallet dashboard. `/stats` shows live equity/exposure/positions/health for the user wallet (perps + builder/HIP3, live-first with DB fallback).

Vector-powered CLI for semantic file search with a Claude/Codex skill

Analytics & Case Readiness skill #098 for assault-at-work case support.

Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.

Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.

Learn how to use SKILL by following this SKILL specification.

Parse and analyze CSV files with data validation

Capture each prompt into Graphiti memory (episodes) for this repo/user.

Join semilattices and sup-preservation.

Analytics & Case Readiness skill #095 for assault-at-work case support.

Get COVID-19 statistics for India including state-wise and district-wise data. Use when user asks for "COVID India", "coronavirus India", "vaccination stats India", or "covid cases [state]".

Preprocessing and harmonization of multi-omics data before integration. Covers normalization, batch correction, feature alignment, and missing value handling across data types. Use when preparing multi-omics datasets for integration analysis.

AI finance assistant — real-time quotes, charts, technical analysis, portfolio tracking, price alerts, watchlists, daily briefings, macro economics, and sentiment analysis for US stocks, BIST, crypto, and forex.

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpoin...

Deploy the Cortex CLASSIFY_TEXT tutorial notebook to the user's Snowflake account and provide a link to open it in Snowsight. Use when user wants to learn text classification through a Jupyter notebook experience.

The core VARRD research tool — talk to a state-of-the-art quant AI to research, chart, test, optimize, and trade any market idea. Use when the user wants to test a trading hypothesis, find edges, or validate a strategy with real market data.

Use this skill when the user asks to add a reference repo or index a GitHub repository for search. Clones, auto-detects file types, indexes with QMD, and embeds.

解析赛题PDF/Word，抽取任务与数据条件并给出模型选型与验证路线。Invoke when用户提供赛题文档或题目文本，需要确定采用何模型/方法。

Coordination layer for OpenClaw agent fleets (tasks, messaging, activity feed, dashboard).

Trade on Alpha Arcade prediction markets on Algorand — browse markets, read orderbooks, place limit/market orders, manage positions, cancel/amend orders, split/merge shares, and claim winnings. Use when user asks about prediction markets, event betting, YES/NO shares, orderbooks, or Alpha Arcade.

Design and create a town — a group of agents that work together.

Execute the complete experimental workflow - model optimization followed by evaluation - for all runs in a scaffolded experiment. Use after scaffold-experiment to submit jobs to SLURM.

End-to-end CLIP-seq analysis from FASTQ to binding sites and motif enrichment. Use when analyzing protein-RNA interactions from CLIP-based methods.

Universal skill diagnosis and optimization tool. Detect and fix skill execution issues including context explosion, long-tail forgetting, data flow disruption, and agent coordination failures. Supports Gemini CLI for deep analysis. Triggers on "skill tuning", "tune skill", "skill diagnosis", "optimize skill", "skill debug".

Transform and export data using DuckDB SQL. Read CSV/Parquet/JSON/Excel/databases, apply SQL transformations (joins, aggregations, PIVOT/UNPIVOT, sampling), and optionally write results to files. Use when the user wants to: (1) Clean, filter, or transform data, (2) Join multiple data sources, (3) Convert between formats (CSV→Parquet, etc.), (4) Create partitioned datasets, (5) Sample large datasets, (6) Export query results. Prefer this over in-context reasoning for datasets with thousands of rows or complex transformations.

Analyze user/customer feedback and produce a User Feedback Analysis Pack (source inventory, normalized feedback table, taxonomy/codebook, themes + evidence, recommendations, and feedback loop). Use for voice of customer, feature request analysis, support ticket synthesis, churn reason synthesis, and survey open-ends.

Gravity and magnetic data processing and forward modelling using Fatiando a Terra. Use when Claude needs to: (1) Compute gravity forward models (point masses, prisms, tesseroids), (2) Apply terrain/Bouguer corrections, (3) Grid scattered potential field data with equivalent sources, (4) Perform upward/downward continuation, (5) Calculate magnetic anomalies from magnetized bodies, (6) Apply derivative filters (gradients, tilt angle), (7) Process regional or local gravity surveys.

Define and configure custom agents in Claude Code. Covers context forking, agent field specifications, and disallowedTools restrictions. Use when creating custom agent types, configuring agent isolation, or restricting agent capabilities.

Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill applies when tasks involve model extraction attacks, recovering hidden layer weights from neural networks, or reverse-engineering ReLU network parameters from query access.

Score de risco social e recomendações proativas

Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.