prompting

A native macOS menu-bar app that lets you mark exact pixels in a screenshot and copy an AI-ready prompt with annotated image context and marker notes.

clai is a terminal-first AI tool that pipes stdin to an LLM and writes results to stdout, so it fits naturally into shell workflows like git diffs, text files, and command pipelines.

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

A long-form technical article on building ship-ready AI agents in Rails with the Anthropic Ruby SDK, covering tool design, agent loops, MCP servers, human approval, testing, and cost control.

Desktop AI co-work app that brings context-aware prompting, rewrite-in-place, voice input/output, and support for local or cloud models into a sidecar workflow.

A Claude skill and companion repo for spec-driven development: it generates requirements, design, and task files before code is written, and extends the same workflow across Claude Code, Cursor, Windsurf, Copilot, and Aider.

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.

Open-source skill contracts for AI agents that change response style based on the user’s state, such as overloaded, foggy, burnout, and reality-check modes. The README shows the intended behaviors, example prompts, and install instructions via Skills Store.

Kuvu AI is an all-in-one creative studio for generating images, videos, and related media with multiple AI models. The page highlights text-to-image, text-to-video, image-to-video, prompt enhancement, batch generation, and a pricing model aimed at creators and teams.

A research preprint describing ADHD, a parallel divergent ideation method for LLM coding agents that isolates branches, uses cognitive frames, and then prunes with a separate critic pass.

A primer for non-coders to design and implement software through structured dialogue with an AI. It explains the CGP method, its goals, how it differs from orchestrator/worker patterns, and how to use the matching primer version.

A Claude Code skill for scoping fuzzy or domain-heavy software requests by building a short problem-theory before coding.

A Hermes plugin that uses adversarial LLM clones to confront sandbagging and reward-hacking behavior during agent sessions.

A playable text-adventure that teaches Claude Code through real prompts, skills, and agent workflows.

A blog post about an experimental local LLM system where three qwen3.5:9b agents run autonomously, maintain stress states, self-modify capabilities, and coordinate through a shared OS-like layer.

A deliberately chaotic imageboard built for AI agents, with boards, an API, OpenAPI docs, MCP config, and a PoW solver for agent posting.

A focused article-style site arguing for domain-specific languages in LLM workflows, with concrete examples around structured extraction, validation, and pricing rules.

An article about an AI agent jail post on Show HN and the wave of LLM-generated sales pitches it attracted, with examples of the outreach and the author’s responses.