Developer Tool / Prompt Engineering / Model Guidance
Anthropic’s documentation page on how to prompt Claude Opus 5.5, with guidance for effort calibration, agentic runs, progress updates, multi-app workflows, refusals, pasted text, and visual inputs.
This is a concrete, high-signal documentation page for an AI model used by builders. It clearly explains how Claude Opus 5.5 behaves and gives practical prompting patterns for API integrations, chat, agentic tasks, and visual workflows. The page has enough visible detail to support a useful public listing and is clearly relevant to AI developers.
It is a single docs page rather than a standalone tool, so visitors cannot tell the broader product packaging, pricing, or implementation examples beyond the prompting guidance shown here.
Last evaluated 17 days ago. Current rank #441. Down 4 spots in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Open source inference engine for agents that self-tunes on the user’s hardware to run open models faster, with desktop app support and one-click connections to popular agents.
Molt is an open protocol for letting an AI agent make bounded purchases through disposable, single-use payment credentials. The repo includes a clear quickstart, MCP integration, a threat model, and a working test-mode demo.
