Plugins

8 plugins
@samyakjhaveri
Business Process
Business process skills (process-optimizer, sop-writer, workflow-mapper, weekly-review). Useful for operational documentation, SOP generation, and workflow analysis. NOT for: software engineering tasks — these target organizational processes, not code.
4 skills · plugin
curated
Automate Manual Process
Analyze a screen recording of a manual process and produce automation scripts.
7 skills · plugin
curated
Azure AI Document Intelligence
For developers building document processing solutions with Azure AI Document Intelligence SDKs.
3 skills · plugin
curated
Azure AI Document Processing
For developers to extract and analyze content from documents and images using Azure AI.
3 skills · plugin
curated
Idea to MVP
Processize an idea into a manual workflow, then build a minimal MVP using lean startup principles.
5 skills · plugin
curated
Build Multi-Agent System with CrewAI
Design and orchestrate multi-agent AI teams using the CrewAI framework with agent roles, task decomposition, and crew processes.
11 skills · plugin
@brycewang-stanford
CHI Skills
Twelve CHI-specific skills for human-computer interaction conference strategy, grounded in the CHI 2027 Papers call, review-process pages, SIGCHI accessibility and video guides, and ACM open-access policy.
2 skills · plugin
@alirezarezvani
Business Operations
Internal BizOps domain. v2.8.0 ships 7 skills: orchestrator + process-mapper (BPMN/bottleneck/cycle-time, Lean+TOC) + vendor-management (scorecard+SLA+3rd-party risk, NIST SP 800-161/ISO 27036) + capacity-planner (Erlang-C queueing math for ops teams, NOT engineering) + internal-comms (ADKAR+Kotter 8-step, NOT marketing) + knowledge-ops (SOP+runbook+KB hygiene with 5W2H, context: fork) + procureme
3 skills · plugin

Results for “process”

22 skills
More results
microsoft
Azure Eventhub Py
Ingest and process high-throughput event streams using Azure Event Hubs SDK for Python, with support for producers, consumers, and checkpointing.
2.7k · bundle
jeffallan
Spark Engineer
Write, optimize, and debug Apache Spark jobs for high-performance distributed data processing, ETL pipelines, and big data workloads.
10.4k · bundle
affaan-m
Videodb
Ingest, index, search, edit, and generate video and audio content from files, URLs, live streams, or desktop capture.
226k · bundle
auto-skiller
Pyragify
Converts code repositories and document directories into semantically-chunked text files optimized for NotebookLM ingestion, with support for config files and incremental processing.
1 · bundle
phoroth
Polars
Process in-memory tabular data with a fast, expression-based DataFrame library that supports lazy evaluation, parallel execution, and Apache Arrow semantics.
3
k-dense-ai
Polars
Process data with high-performance DataFrames using Polars' expression-based API, lazy evaluation, and parallel execution for ETL, analytics, and pandas migration.
30.2k · bundle
k-dense-ai
Zarr Python
Store and process large N-dimensional arrays with chunking, compression, and parallel I/O, integrating with NumPy, Dask, and Xarray for cloud-native scientific computing.
30.2k · bundle
orchestra-research
Ray Data
Process large-scale ML datasets with distributed streaming execution across CPU/GPU, supporting Parquet, CSV, JSON, images, and integration with PyTorch, TensorFlow, and Ray Train.
10.4k · bundle
lucaspmarie-a11y
Polars
Process in-memory datasets with Polars' expression API, lazy evaluation, and parallel execution, including pandas migration patterns and I/O for CSV, Parquet, and JSON.
5
github
Python Azure Iot Edge Modules
Design, implement, and validate Python-based IoT Edge modules for telemetry processing, local inference, protocol translation, and edge-to-cloud integration.
36.2k · bundle
k-dense-ai
Nextflow
Build, run, and debug Nextflow data pipelines and nf-core workflows end to end, covering processes, channels, operators, configuration, testing, and deployment to HPC or cloud.
30.2k · bundle
k-dense-ai
Vaex
Process and analyze large tabular datasets (billions of rows) that exceed available RAM using lazy, out-of-core DataFrames with fast aggregations, visualization, and machine learning integration.
30.2k · bundle
neuralblitz
Big Data
Designs and implements big data architectures, processes large-scale datasets with distributed systems, and optimizes data pipelines for throughput using Hadoop, Spark, and cloud platforms.
1
nvidia
Deepstream Dev
Build video analytics pipelines using NVIDIA DeepStream SDK 9.0 with Python pyservicemaker API, including GStreamer-based video processing, TensorRT inference integration, object detection/tracking, and Kafka/message broker integration.
2.2k · bundle
mukul975
Implementing Siem Correlation Rules For Apt
Detect APT lateral movement by chaining Windows authentication events, process execution telemetry, and network connection logs across hosts using Splunk SPL and Sigma rule format.
24.6k · bundle
qhjqhj00
Ray Data
Process large ML datasets in parallel across CPU or GPU clusters, with streaming execution, multi-format I/O, and integration with Ray Train, PyTorch, and TensorFlow for batch inference and preprocessing pipelines.
3 · bundle