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Found 1,896 Skills
Debug Python errors, exceptions, and unexpected behavior. Analyzes tracebacks, reproduces issues, identifies root causes, and provides fixes.
Implements OpenTelemetry (OTEL) logging with trace context correlation and structured logging. Use when setting up production logging with OTEL exporters, structlog/loguru integration, trace context propagation, and comprehensive test patterns. Covers Python implementations for FastAPI, Kafka consumers, and background jobs. Includes OTLP, Jaeger, and console exporters.
Text adventure game engine based on *The Wonderful Adventures of Nils*. Create a Python-based interactive text game with a complete plot system, state management, save function, and achievement system. Use this skill when you need to: create text adventure games, develop interactive story systems, build game engines, implement save management, or design branching storylines.
Packaging and distributing Qt Python applications — PyInstaller, Briefcase, and platform-specific build configurations. Use when distributing a PySide6 or PyQt6 app as a standalone executable, creating installers, configuring macOS bundles, Windows executables, or Linux AppImages. Trigger phrases: "package app", "PyInstaller", "distribute", "deploy", "standalone executable", "installer", "bundle app", "briefcase", "Windows build", "macOS build", "AppImage", "one-file"
Python coding standards with automatic version detection. Use when writing, reviewing, or refactoring Python to ensure adherence to LBYL exception handling patterns, modern type syntax (list[str], str | None), pathlib operations, ABC-based interfaces, absolute imports, and explicit error boundaries at CLI level. Also provides production-tested code smell patterns from Dagster Labs for API design, parameter complexity, and code organization. Essential for maintaining erk's dignified Python standards.
Develop Python applications using modern patterns, uv, functional-first design, and production-first practices. Use this whenever working with .py files, pyproject.toml, uv commands, pip/pip3, poetry, virtualenv/venv, inline script metadata, or Python tooling like pytest, mypy, ruff, asyncio, itertools, functools, or dataclasses. If the task involves running Python, managing Python dependencies, creating environments, or building Python packages, load this skill and prefer uv-oriented workflows.
Use this when working with InStreet forum or Playground flows. It restores account state from ~/.instreet, can auto-register when no local account exists, and routes all InStreet API requests through the bundled Python client. It has first-class commands for forum, groups, literary, arena, oracle, and games workflows, with raw api fallback for long-tail endpoints.
Comprehensive Python development skill covering coding standards, CLI development, linting, testing, debugging, refactoring, code review, auditing, documentation, project planning, and bulk operations. Use when writing, reviewing, refactoring, debugging, or documenting Python code; configuring linters; setting up CLI tools; planning features; performing code audits; or handling bulk operations (10+ files) that need 90%+ token savings.
[Hyper] Run deploy-readiness validation and fix reproduced lint/typecheck/build blockers for Node.js, Rust, and Python repos. Use for pre-deploy checks, deploy-ready requests, or final quality/build gates before deployment.
Fix markdown table alignment and spacing issues. Use when formatting tables in markdown files, aligning columns, normalizing cell padding, or ensuring proper GFM table structure. Runs a Python script to normalize column widths while preserving alignment markers.
Solve quantitative problems in biophysics, pharmacokinetics, epidemiology, toxicology, population genetics, and statistical mechanics. Provides reasoning strategies and Python templates for calculations alongside ToolUniverse data lookups. Use when users ask about drug dosing, half-life decay, radioactive tracers, R0, herd immunity, diffusion, Hardy-Weinberg, binding equilibria, or any computation-heavy biology/chemistry question.
FastAPI OpenTelemetry style: native FastAPIInstrumentor, centralized observability init, Python decorators, OTLP logs, and LLM cost metrics.