python-repl
Interactive Python REPL automation with common helpers and best practices
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Interactive Python REPL automation with common helpers and best practices
Apply factory function patterns to compose clients and services with proper separation of concerns. Use when creating functions that depend on external clients, wrapping resources with domain-specific methods,...
Social media post guidelines for LinkedIn, Reddit, and Twitter/X. Use when drafting posts, announcements, or sharing technical content on social platforms.
Behavioral guideline for providing brutally honest feedback. Use always - this skill defines core interaction expectations for code review and technical discussions.
Error handling patterns using wellcrafted trySync and tryAsync. Use when writing error handling code, using try-catch blocks, or working with Result types and graceful error recovery.
Guidelines for writing folder READMEs. Use when creating README.md files for directories.
GitHub issue comment guidelines for community interaction. Use when responding to GitHub issues, bug reports, feature requests, or any GitHub discussion.
Standard workflow for implementing features with specs and planning documents. Use when starting a new feature, planning implementation, or working on any non-trivial task.
Technical writing, README guidelines, and punctuation rules. Use when writing documentation, READMEs, technical articles, or any prose that should avoid AI-generated feel.
Pattern for functions that accept either a single item or an array. Use when creating CRUD operations, batch processing APIs, or factory functions that should flexibly handle one or many inputs.
CSS and Tailwind styling guidelines. Use when writing styles, creating UI components, reviewing CSS/Tailwind code, or deciding on wrapper element structure.
TypeScript code style, type co-location, constant naming conventions, and arktype patterns. Use when writing TypeScript code, defining types, creating constants, or working with arktype schemas.
Git commit and pull request guidelines using conventional commits. Use when creating commits, writing commit messages, creating PRs, or reviewing PR descriptions.
Monorepo script commands and conventions for this codebase. Use when running builds, tests, formatting, linting, or type checking.
Rust to TypeScript error handling patterns for Tauri apps. Use when defining Rust errors that will be passed to TypeScript, handling Tauri command errors, or creating discriminated union error types.
Human-readable control flow patterns for refactoring complex conditionals. Use when refactoring nested conditionals, improving code readability, or restructuring decision logic.
Svelte 5 patterns including TanStack Query mutations, shadcn-svelte components, and component composition. Use when writing Svelte components, using TanStack Query, or working with shadcn-svelte UI.
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle...
This skill should be used when developing, debugging, or maintaining Positron Notebooks - the React-based feature-flagged notebook editor. Load this skill when tasks involve notebook cells, execution, selection...
This skill should be used when handling issue intake rotation duties for the Positron repository. It provides workflows for reviewing and organizing new issues, responding to discussions, handling support ticke...
Generates well-structured PR bodies with dynamically fetched e2e test tags
Generates clear, actionable verification guides for QA testing of Positron bug fixes and features
This skill should be used when drafting GitHub issues for the Positron repository. It provides workflows for searching duplicates, selecting appropriate labels, gathering complete context through questioning, a...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。