A searchable library of AI-generated images and videos where you can see the exact prompt behind each one, so you're not guessing what wording gets that look.
#prompt-engineering
24 tools curated in this category — including Inspia, PromptLab, Lanes
techFind on mySelectas all sites and tools related to prompt-engineering. This selection of 24 resources is reviewed and maintained by the community. The most popular include Inspia, PromptLab, Lanes. Each tool comes with a review, tags, comparisons and alternatives to help you make the best choice.
A Chrome extension for local-first LLM prompt testing with zero cloud dependencies. Developers can test prompts across OpenAI, Anthropic, and OpenRouter with complete privacy.
A system enabling multiple Claude Code chats to coordinate asynchronously through shared message files for collaborative agent workflows. Leverages prompt caching to reduce token costs by 90% when reactivating worker agents.
Done-for-you optimization service that helps B2B companies get cited and recommended by AI systems like ChatGPT, Perplexity, Gemini, and Claude.
Context compression system for LLM pipelines that verifies no protected content is lost and refuses compression when safety cannot be guaranteed. Apache-2.0 open source by LaconIQ.
Browser extension that stores your personal and work context once in encrypted "cards" and reuses it across every AI chatbot.
An open-source linter that scans your LLM prompts for token waste — like UUIDs, pretty-printed JSON, and repeated text — and estimates the real dollar cost of each finding.
A branching, canvas-based chat interface for comparing responses across Claude, GPT, Gemini, and other LLMs.
A governance layer that captures human-approved decisions and injects them into AI coding agent prompts, flagging conflicts before agents act on stale information.
A reference library of research-backed UX rules you can paste straight into Claude, Cursor, or V0 as a prompt — so the interface an AI generates for you follows real cognitive-science principles instead of just looking plausible.
A proxy that sits between your app and the LLM API, blocking prompt-injection attacks and stripping leaked secrets before they reach the model — with an audit trail for every request.
A free, local-first memory layer that shares your context and preferences across multiple AI coding assistants like Cursor, Claude Code, and Codex, so you stop repeating yourself.
A dashboard for teams building products on top of ChatGPT-like AI models, so they can test whether a change to their prompt actually made answers better or worse, and watch what the AI is doing once it's live.
A pack of 13 ready-made AI skills that plug into Claude Code, Cursor or Codex so solo founders can also get design, marketing and product work done, not just code.
A memory system for AI coding agents that remembers past decisions, fixes, and dead ends, and can sync that memory across different tools and devices.
A self-learning plugin for Claude Code that captures your corrections and repeated workflow patterns, then syncs them into CLAUDE.md and config files so the agent remembers them across sessions.
A free open-source tool that turns any MCP server, OpenAPI spec, or GraphQL endpoint into a plain command-line tool, so an AI coding agent can call it using far fewer tokens than the usual way.
A dashboard that tells you whether your AI feature is actually getting worse or better over time, built on top of a popular open-source testing library instead of asking you to guess from user complaints.
Collaboration platform for AI teams to manage, test and monitor the prompts that power their LLM applications.
Open-source LLM eval and red teaming: test prompts, compare models, catch jailbreaks and data leaks locally and in CI.