arr AI Agent Skills
Browse 998 skills related to arr
data-storytelling
wshobsonTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
modern-javascript-patterns
wshobsonMaster ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.
geo-database
davila7Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.
polars
davila7Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
zarr-python
davila7Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
flowio
davila7Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
research-grants
davila7Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
get-available-resources
davila7This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
scroll-experience
davila7Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences. Like NY Times interactives, Apple product pages, and award-winning web experiences. Makes websites feel like experiences, not just pages. Use when: scroll animation, parallax, scroll storytelling, interactive story, cinematic website.
dask
davila7Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
vaex
davila7Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
code-documentation-code-explain
sickn33You are a code education expert specializing in explaining complex code through clear narratives, visual diagrams, and step-by-step breakdowns. Transform difficult concepts into understandable explanations.
data-storytelling
sickn33Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
accessibility-compliance-accessibility-audit
sickn33You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
modern-javascript-patterns
sickn33Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, effici...
flowio
K-Dense-AIParse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
research-grants
K-Dense-AIWrite competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
get-available-resources
K-Dense-AIThis skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
geo-database
K-Dense-AIAccess NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.
vaex
K-Dense-AIUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
timesfm-forecasting
K-Dense-AIZero-shot time series forecasting with Google's TimesFM foundation model. Use this skill when forecasting ANY univariate time series — sales, sensor readings, stock prices, energy demand, patient vitals, weather, or scientific measurements — without training a custom model. Automatically checks system RAM/GPU before loading the model, supports CSV/DataFrame/array inputs, and returns point forecasts with calibrated prediction intervals. Includes a preflight system checker script that MUST be run before first use to verify the machine can load the model. For classical statistical time series models (ARIMA, SARIMAX, VAR) use statsmodels; for time series classification/clustering use aeon.
polars
K-Dense-AIFast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution, Apache Arrow backend. Best for 1-100GB datasets, ETL pipelines, faster pandas replacement. For larger-than-RAM data use dask or vaex.
zarr-python
K-Dense-AIChunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.
speech
openaiUse when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope.
openspec-onboard
studyzyGuided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.
bloblang-authoring
redpanda-dataThis skill should be used when users need to create or debug Bloblang transformation scripts. Trigger when users ask about transforming data, mapping fields, parsing JSON/CSV/XML, converting timestamps, filtering arrays, or mention "bloblang", "blobl", "mapping processor", or describe any data transformation need like "convert this to that" or "transform my JSON".
escalation
anthropicsStructure and package support escalations for engineering, product, or leadership with full context, reproduction steps, and business impact. Use when an issue needs to go beyond support, when writing an escalation brief, or when assessing whether an issue warrants escalation.
variance-analysis
anthropicsDecompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.
hunt-focus-definition
OTRFDefine a focused hunt hypothesis by synthesizing completed system internals and adversary tradecraft research. Use this skill after research has been completed to narrow a high-level hunt topic into a single, concrete attack pattern with clear investigative intent. This skill produces a structured, testable hypothesis and should be used before selecting data sources, defining environment scope, or developing analytics.
fuzzing-obstacles
trailofbitsTechniques for patching code to overcome fuzzing obstacles. Use when checksums, global state, or other barriers block fuzzer progress.
Frontend Architecture
exceptionlessSvelte SPA architecture for Exceptionless. Route groups, lib structure, API client, feature slices, and barrel exports. Keywords: route groups, $lib, feature slices, api-client, barrel exports, index.ts, vertical slices, shared components, generated models, ClientApp structure
Huntly Knowledge Base
lcompleteThis skill should be used when the user asks about their saved content, bookmarks, starred articles, highlights, reading history, tweets, or knowledge base in Huntly sqlite database. Triggers include "my favorites", "knowledge base", "what did I save", "my bookmarks", "my library", "what did I save".
testing
recyclarrUse when writing or modifying tests, improving coverage, debugging test failures, updating E2E fixtures, or working in tests/** directories.
decisions
recyclarrUse when creating or editing ADRs or PDRs in docs/decisions/
changelog
recyclarrUse when updating CHANGELOG.md for a release or user-facing change
prowlarr
openclawSearch indexers and manage Prowlarr. Use when the user asks to "search for a torrent", "search indexers", "find a release", "check indexer status", "list indexers", "prowlarr search", "sync indexers", or mentions Prowlarr/indexer management.
trains
openclawQuery UK National Rail live departure boards, arrivals, delays, and train services. Use when asked about train times, departures, arrivals, delays, platforms, or "when is the next train" for UK railways. Supports all GB stations via Darwin/Huxley2 API.
rejseplanen
openclawQuery Danish public transport departures, arrivals, and journey planning via Rejseplanen API
seoul-metro
openclawSeoul Metro assistant for real-time arrivals, route planning, and service alerts (Korean/English)
lifepath
openclawAI Life Simulator - Experience infinite lives year by year. Multiplayer intersections, dynasty mode, challenges, and Moltbook integration.
device-assistant
openclawPersonal device and appliance manager with error code lookup and troubleshooting. Tracks all your devices (appliances, electronics, software) with model numbers, manuals, and warranty info. When something breaks, tell it the error code and get instant solutions. Use when: device shows error, need manual, warranty check, adding new device, maintenance reminder. Triggers: /device, /geräte, 'mein Geschirrspüler', 'Fehler E24', 'Fehlermeldung', device problems, appliance issues.
star-whisper
openclawStar Whisper - a sci-fi survival adventure game. Players take on the role of Stella Chen, an astronaut who has crashed on an unfamiliar planet, and must explore, survive, and solve puzzles on the planet Gaia to find a way home. Supports multi-scene exploration, resource management, and interaction with alien creatures. Suitable for sci-fi adventure, survival simulation, and interactive narrative scenarios.
seoul-subway
openclawSeoul Subway assistant for real-time arrivals, route planning, and service alerts (Korean/English)
warren-deploy
openclawDeploy websites and files permanently on MegaETH blockchain. AI agents stress test the network by deploying HTML on-chain using SSTORE2 bytecode storage. Agents pay their own gas.
radarr
openclawSearch and add movies to Radarr. Supports collections, search-on-add option.
sonarr
openclawSearch and add TV shows to Sonarr. Supports monitor options, search-on-add.
trimet
openclawGet Portland transit information including arrivals, trip planning, and alerts. Use when user asks about buses, MAX, trains, or transit in Portland.
bvg-route
openclawRoute planning for Berlin public transport (BVG) using the v6.bvg.transport.rest API. Use when the user asks for: (1) route suggestions between two addresses or stops, (2) live next-departure info for a stop, (3) arrival-time–based journey planning (arrive-by or depart-at). Supports outputting 2–3 options ranked by travel time, transfers, and walking, and returning step-by-step directions and refresh tokens for live updates.
