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Testing & security AI Skills

Discover Testing & security skills, compare source repositories and read the instructions for each workflow.

Categories: Testing & security

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GitHub

pyproject-toml

vamseeachanta

Configure Python projects with pyproject.toml for modern packaging, tools, and dependency management

GitHub

lang-rust

joncrangle

Rust 1.92+ development specialist covering Axum, Tokio, SQLx, and memory-safe systems programming. Use when building high-performance, memory-safe applications or WebAssembly.

GitHub

prompt-engineering

vamseeachanta

Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns

GitHub

dspy

vamseeachanta

Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering

GitHub

agenta

vamseeachanta

LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.

GitHub

pandasai

vamseeachanta

Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.

GitHub

langchain

vamseeachanta

Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework

GitHub

openpyxl

vamseeachanta

Create and manipulate Microsoft Excel workbooks programmatically. Build spreadsheets with formulas, charts, conditional formatting, and pivot tables. Handle large datasets efficiently with streaming mode.

GitHub

dash

vamseeachanta

Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment

GitHub

sweetviz

vamseeachanta

Automated EDA comparison reports with target analysis, feature comparison, and HTML report generation for pandas DataFrames

GitHub

autoviz

vamseeachanta

Automatic exploratory data analysis and visualization with a single line of code - generates comprehensive charts, detects patterns, and exports to HTML/notebooks

GitHub

polars

vamseeachanta

High-performance DataFrame library for fast data processing with lazy evaluation, parallel execution, and memory efficiency

GitHub

streamlit

vamseeachanta

Build interactive data applications and dashboards with pure Python - no frontend experience required

GitHub

great-tables

vamseeachanta

Publication-quality tables in Python with rich styling, formatting, conditional formatting, and export to HTML/images - inspired by R's gt package

GitHub

airflow

vamseeachanta

Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation

GitHub

generate-tickets

dhofheinz

Generate actionable implementation tickets from the finalized How (implementation) specification.

GitHub

spec-refine

dhofheinz

Iterative specification refinement for large features. Creates detailed What (requirements) and How (implementation) specs through automated codebase research loops followed by human-in-loop review. Use when pl...

GitHub

miro-api

vamseeachanta

Miro whiteboard automation using REST API v2 and Python SDK for creating boards, frames, shapes, connectors, and collaborative visual workflows

GitHub

todoist-api

vamseeachanta

Task management API integration for Todoist with projects, tasks, labels, filters, webhooks, and Python SDK usage

GitHub

calendly-api

vamseeachanta

Calendly scheduling automation using REST API v2 for managing event types, availability, bookings, webhooks, and scheduling workflows

GitHub

trello-api

vamseeachanta

Kanban board automation with Trello API including boards, lists, cards, members, webhooks, power-ups, and Python SDK (py-trello) integration

GitHub

time-tracking

vamseeachanta

Time tracking integration patterns with RescueTime and Toggl APIs for automated time entry, reporting, analytics, and project/task attribution

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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