Results for “tasks-api”
18 skills
drnabeelkhan testing-quality-assurance
Coordinates quality assurance workflows by routing testing tasks to specialized sub-skills for API testing, performance benchmarking, test analysis, tool evaluation, and process optimization.
2 · bundle
joshuashepherd trigger-dev
Build and manage Trigger.dev v4 background jobs: durable TypeScript tasks, scheduled/cron jobs, waits, Realtime, React hooks, and the Management API, with live docs fetched first.
1
drnabeelkhan engineering
Routes software engineering tasks across backend, frontend, AI/ML, mobile, DevOps, and infrastructure sub-skills, applying security and ethics gates.
2 · bundle
schattenspiegel fastapi-python
Write, review, debug, and test Python FastAPI applications with path operations, dependencies, Pydantic models, lifespan, middleware, background tasks, exception handling, and ASGI tests.
0 · bundle
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timlai666 aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
1 · bundle
microsoft fastapi-router-py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models following established patterns.
2.7k · bundle
github typespec-api-operations
Add GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cards.
36.2k
danstrem2 todoist
Manage tasks and projects in Todoist. Use when user asks about tasks, to-dos, reminders, or productivity.
2 · bundle
infometa workrally
WorkRally CLI (workrally)
228 · bundle
leandrobenjaminl frontend-api-integration
Consume APIs from the frontend with TanStack Query, fetch, or SWR, including caching, refetching, optimistic updates, and error handling.
0
aniruddhaadak80 taskflow
Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.
0 · bundle
promisingcoder taskflow
Coordinate multi-step detached tasks as one durable TaskFlow job with owner context, state, waits, and child tasks.
0 · bundle
intense-visions perf-long-tasks
Long Tasks
18 · bundle
browser-act browser-act
Automates browser tasks including navigation, data extraction, screenshots, form filling, and session management via a CLI tool.
3.7k
levalencia aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
3 · bundle
jackychenlu aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
0 · bundle
metinduraktr-44 aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
0 · bundle
chen-yu-hao aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
5 · bundle