data-analysis
247
data-analysis
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
aiskillstore
data-ai
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backend
247
building-mcp-servers
Guides creation of high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). Covers tool design, authentication, Docker deployment, and evaluation creation. NOT when consuming existing MCP servers (use the server directly).
aiskillstore
development
health-fitness
247
exercise-designer
Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.
aiskillstore
business
education
247
code-validation-sandbox
Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
aiskillstore
documentation
media
247
ponyflash
Generate images, videos, speech audio, and music using the PonyFlash Python SDK. Also handle local media editing with FFmpeg, including clip, concat, transcode, extract audio, frame capture, subtitle capability checks, and ASS subtitle prep. Use when the user asks to create, generate, produce, edit, trim, merge, concatenate, transcode, subtitle, or render AI-generated media content.
aiskillstore
content-media
data-analysis
247
data-analysis
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pandas operations.
aiskillstore
data-ai
package-distribution
247
python-packaging
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
aiskillstore
development
framework-internals
245
dpdata-minimizer
Minimize geometries with dpdata minimizer plugins via System.minimize(), including how minimizers relate to drivers (ASEMinimizer needs a dpdata Driver) and how to list supported minimizers (ase/sqm). Use when doing geometry optimization/minimization through dpdata Python API.
deepmodeling
development
package-distribution
245
dpdata-plugin
Create and install dpdata plugins (especially custom Format readers/writers) using Format.register(...) and pyproject.toml entry_points under 'dpdata.plugins'. Use when extending dpdata with new formats or distributing plugins as separate Python packages.
deepmodeling
development
backend
240
python-json-parsing
Python JSON parsing best practices covering performance optimization (orjson/msgspec), handling large files (streaming/JSONL), security (injection prevention), and advanced querying (JSONPath/JMESPath). Use when working with JSON data, parsing APIs, handling large JSON files, or optimizing JSON performance.
benchflow-ai
development
package-distribution
240
python-packaging
Automatically applies when configuring Python project packaging. Ensures proper pyproject.toml setup, project layout, build configuration, metadata, and distribution best practices.
benchflow-ai
development
package-distribution
240
pypi-server
Guidance for creating Python packages and serving them via a local PyPI server. This skill applies when tasks involve building Python packages (with pyproject.toml or setup.py), setting up local package repositories, or serving packages via HTTP for pip installation. Use when the goal is to create installable Python packages and make them available through a local index URL.
benchflow-ai
development
package-distribution
240
python-env
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
benchflow-ai
development
scripting
240
uv-package-manager
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
benchflow-ai
development
testing
240
temporal-python-testing
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
benchflow-ai
testing-security
package-distribution
239
dropping-and-adding-support-for-python-versions
Keeps supported Python versions aligned across CI, configs, and docs. Use when adding a new Python version or dropping an end-of-life version per the official Python support policy.
tpvasconcelos
development
cloud
237
aws-serverless-eda
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
zxkane
devops
cloud
237
aws-cdk-development
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. Use when creating CDK stacks, defining CDK constructs, implementing infrastructure as code, or when the user mentions CDK, CloudFormation, IaC, cdk synth, cdk deploy, or wants to define AWS infrastructure programmatically. Covers CDK app structure, construct patterns, stack composition, and deployment workflows.
zxkane
devops
technical-docs
237
nexios-overview
Teach Nexios comprehensively to AI editors and coding agents as an external async Python web framework. Use when Codex needs to explain or generate Nexios code with concept-by-concept guidance, runnable examples, and best practices across app setup, ASGI basics, routing, handlers, request inputs, responses, middleware, dependency injection, authentication, sessions, cookies, security, pagination, WebSockets, events, OpenAPI, testing, templating, static files, uploads, and CLI workflows. Prefer this skill for tutorial-style answers, onboarding, code generation, and framework learning rather than repo-specific debugging or source edits.
nexios-labs
documentation