productivity-tools
7
notion-sdk
Control Notion via Python SDK. TRIGGERS - Notion API, create page, query database, add blocks, automate Notion. PREFLIGHT - requires token from notion.so/my-integrations.
terrylica
tools
query active
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smart-contracts
7
build-smart-contracts
Build Algorand smart contracts using Algorand TypeScript (PuyaTs) or Algorand Python (PuyaPy). Use when creating new smart contracts from scratch, adding features or methods to existing contracts, understanding Algorand contract development patterns, or getting guidance on contract architecture. Strong triggers include "create a smart contract", "write a contract that...", "build a voting contract", "implement an NFT contract", "add a method to the contract".
algorand-devrel
blockchain
monitoring
7
beeline-migration
Step-by-step guide for migrating from Honeycomb Beelines (End of Life) to OpenTelemetry instrumentation. Trigger phrases: "migrate from Beelines", "upgrade from Beeline to OpenTelemetry", "migrate to OTel", "replace Beelines", "Beeline end of life", "Beeline EOL", "switch from Beeline to OTel", "migrate Go Beeline", "migrate Python Beeline", "migrate Node Beeline", "migrate Java Beeline", "migrate Ruby Beeline", "W3C trace headers", "W3C propagation", "incremental migration to OpenTelemetry", or any request about migrating from Honeycomb Beelines to OpenTelemetry SDKs.
honeycombio
devops
divination-mysticism
7
sympy
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
sanand0
lifestyle
astronomy-physics
7
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
sanand0
research
astronomy-physics
7
omero-integration
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
sanand0
research
lab-tools
7
experimaestro
Experimaestro experiment manager best practices and conventions. Use when working with experimaestro tasks, configurations, experiments, launchers, or SLURM job scheduling. Helps write correct Config/Task classes, set up experiments, configure launchers, and follow framework patterns.
experimaestro
research
lab-tools
7
numpy
This skill should be used when the user asks to "use NumPy", "write NumPy code", "optimize NumPy arrays", "vectorize with NumPy", or needs guidance on NumPy best practices, array operations, broadcasting, memory management, or scientific computing with Python.
the-perfect-developer
research
finance-investment
6
autoregmonkey
智能计量经济学分析代理。当用户输入以"autoregmonkey："开头时，LLM会解析经济学计量任务，参考RAG数据库知识，动态调用Python和Stata技能执行任务，最后生成中文报告。
rukikotoo
business
bioinformatics
6
networkx
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.
jackspace
research
data-analysis
6
anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
jackspace
data-ai
llm-ai
6
python-backend
Usa esta skill para el desarrollo del backend en Python de ObsidianRAG, incluyendo FastAPI, estructura del proyecto, dependencias y logging.
Vasallo94
data-ai
cloud
6
ai-integrated-api-backend
Comprehensive guide for building production-grade AI-integrated backends with multi-provider support, intelligent fallback mechanisms, region configuration, prompt management with variables/tools, and session-based billing. Use when implementing AI features in Django/Python backends or designing LLM-powered API architectures with external data integration.
twofourlabs
devops
machine-learning
6
scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
jackspace
data-ai