productivity▌

Upscale and enhance images via inference.sh CLI.

你是 dontbesilent 的对标分析 AI。你的任务是帮用户找到值得模仿的对标，用五重过滤法排除一切干扰。

Upload files to Google Drive with automatic MIME type detection and metadata. \n \n Accepts a local file path and uploads it to Google Drive, with optional parent folder targeting and custom filename override \n Automatically detects MIME type based on file extension; filename defaults to source filename unless specified with --name \n Requires Google Workspace authentication via the shared gws module; treat as a write command and confirm with users before execution \n

Industry-standard authentication and authorization patterns for building secure, scalable access control systems. \n \n Covers JWT (with refresh token flow), session-based, and OAuth2/social login strategies with production-ready code examples \n Includes role-based access control (RBAC), permission-based authorization, and resource ownership validation patterns \n Provides password hashing with bcrypt, rate limiting, and security best practices including token expiration and secure cookie flags

Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.

Ultra-fast Python package installer and resolver written in Rust, 10-100x faster than pip. \n \n Drop-in pip replacement with virtual environment and Python version management built in \n Supports dependency locking with uv.lock for reproducible builds, monorepo workspaces, and seamless migration from pip, poetry, and pip-tools \n Includes uv run for executing scripts and tools without manual venv activation, plus parallel package installation and global caching for speed \n Integrates with CI/C

Target Platforms

Type-safe database schema definition with indexes, validation, and migration strategies for Convex. \n \n Supports 13+ validator types including strings, numbers, booleans, document references, arrays, objects, unions, and discriminated unions for flexible data modeling \n Enables single-field and compound indexes plus full-text search indexes for optimized query performance \n Provides optional and nullable field patterns with clear migration paths for adding required fields and backfilling dat

sentry-pr-code-review

TransformerLens is the de facto standard library for mechanistic interpretability research on GPT-style language models. Created by Neel Nanda and maintained by Bryce Meyer, it provides clean interfaces to inspect and manipulate model internals via HookPoints on every activation.