prompt engineering

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.

Kon is a minimal terminal coding agent with a tiny default prompt, a built-in toolset, and configurable model/provider support. The repo includes install steps, CLI usage, example commands, and configuration details.

Local-first debugger for LLM agent context windows. It records each call’s context into a single-file trace so you can inspect, diff, and share what the model actually saw turn by turn.

An interactive guide and demo for prompt engineering that shows how analogies, examples, and format-matching can improve LLM outputs.

An open-source collection of Claude Code skills, agents, and plugins for improving agent output quality across tools like Cursor, Gemini CLI, OpenCode, and Antigravity.

A GitHub repository that provides an agent skill for rewriting documentation in ASD-STE100 Simplified Technical English, with install steps, examples, and support for multiple AI tools.

Ponytail is a repository and plugin toolkit that pushes AI coding agents to choose the smallest useful implementation first, favoring stdlib, platform features, and one-line fixes over larger generated code. The README shows installs and usage paths for Claude Code, Codex, OpenCode, Cursor, Windsurf, Cline, Copilot, Ai

Chrome MV3 extension that organizes existing AI tabs into a structured model council for cross-checking prompts across ChatGPT, Claude, Gemini, Perplexity, Merlin, and Grok.

Canonical Agent Notation (CANON) is an open-source controlled English for model prompting and agent-to-agent communication. The repository describes a small closed vocabulary, mandatory obligation markers, bounded loops, and a clear ask-rather-than-guess rule for making requests and agent messages less ambiguous.

A GitHub repository of system-prompt overrides for Claude Code, aimed at shrinking the always-on prompt and adjusting behavior for Opus 4.7. It includes a detailed rationale, measured prompt-size reductions, and install steps using tweakcc-fixed.

A lightweight Markdown variant designed to reduce token usage for LLM consumption using single-character markers and context-aware parsing.

A catalog of design patterns for building agentic systems that verify outputs with evidence instead of relying on self-review. The page explains two main failure modes and presents structured patterns for context, verification, and orchestration.

A blog post showing how a Game Boy Advance game was built with GPT-6 Astra and an AI pixel art generator, including prompts, asset generation notes, and a playable demo.

A repository of Claude Code and Codex skills for evaluating and designing multi-agent systems, centered on an /agent-architect skill for auditing, reviewing, and designing agent setups.