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Topic: ai

10,359 skills in this topic.

exploratory-data-analysis Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
beita6969/ScienceClaw 571
fluidsim Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
beita6969/ScienceClaw 571
himalaya CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
beita6969/ScienceClaw 571
latex-writing Write and format LaTeX documents for academic journals. Use when: user asks to write LaTeX code, format papers for specific journals (Nature/Science/IEEE/ACM), create equations, tables, or BibTeX entries. NOT for: non-LaTeX writing (use paper-writing), data analysis, or literature search.
beita6969/ScienceClaw 571
lit-synthesizer Search PubMed and bioRxiv, summarise papers with LLM, build citation graphs, and generate literature review sections.
beita6969/ScienceClaw 571
math-computation Mathematical computation including symbolic math, numerical methods, linear algebra, calculus, differential equations, optimization, and mathematical modeling. Uses Python with SymPy, NumPy, SciPy. Use when user asks to solve equations, compute integrals/derivatives, do matrix operations, solve ODEs/PDEs, optimize functions, or build mathematical models. Triggers on "solve equation", "integral", "derivative", "matrix", "eigenvalue", "differential equation", "optimization", "linear algebra", "symbolic math", "proof".
beita6969/ScienceClaw 571
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.
beita6969/ScienceClaw 571
nonlinear-solvers Select and configure nonlinear solvers for f(x)=0 or min F(x). Use for Newton methods, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, diagnosing convergence issues, choosing line search vs trust region, and analyzing Jacobian quality.
beita6969/ScienceClaw 571
openai-whisper Local speech-to-text with the Whisper CLI (no API key).
beita6969/ScienceClaw 571
openalex-search Open academic metadata via OpenAlex API. Use when: user needs author profiles, institution data, concept mapping, or open citation data. NOT for: full-text search or downloading papers.
beita6969/ScienceClaw 571
pdb-structure Query the RCSB PDB API for protein 3D structures, experimental metadata, and structure files. Use when the user needs crystal or cryo-EM structure data, PDB entries, resolution info, or structure file downloads. NOT for protein sequences/annotations (use UniProt), gene data (use NCBI), or pathway info (use KEGG).
beita6969/ScienceClaw 571
post-processing Extract, analyze, and visualize simulation output data. Use for field extraction, time series analysis, line profiles, statistical summaries, derived quantity computation, result comparison to references, and automated report generation from simulation results.
beita6969/ScienceClaw 571
vibegit
memovai/memov 187
forget Delete specific observations or sessions from agentmemory. Use when user says "forget this", "delete memory", or wants to remove specific data for privacy.
rohitg00/agentmemory 755
recall Search agentmemory for past observations, sessions, and learnings about a topic. Use when the user says "recall", "remember", "what did we do", or needs context from past sessions.
rohitg00/agentmemory 755
remember Explicitly save an insight, decision, or learning to agentmemory's long-term storage. Use when the user says "remember this", "save this", or wants to preserve knowledge for future sessions.
rohitg00/agentmemory 755
session-history Show what happened in recent past sessions on this project. Use when user asks "what did we do last time", "session history", "past sessions", or wants an overview of previous work.
rohitg00/agentmemory 755
Copilot instruction layering instruction layering with reusable, conditional instruction files
rcarmo/agentbox 96
Docker image publishing multi-arch image publishing to GHCR via GitHub Actions
rcarmo/agentbox 96
Frontend bundling via Bun/Node Bundling via Bun/Node with Make targets for typecheck and bundling
rcarmo/agentbox 96
GitHub Actions CI patterns CI patterns that call Make targets
rcarmo/agentbox 96
Go project conventions Project conventions with module caching, linting, security checks, and tests via Make
rcarmo/agentbox 96
Python project conventions Project conventions for install, lint, test, format, and coverage via Make
rcarmo/agentbox 96
Tag-based releases GitHub releases with autogenerated notes
rcarmo/agentbox 96