prompts
Projects tagged with prompts on GitHub.
28 projects
prompts.chat
HTMLf.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
system-prompts-and-models-of-ai-tools
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models
directional-prompting
Outcome-first plus directional language. A two-layer skill for writing prompts, agent directives, and skill descriptions. Works in Claude Code and Codex CLI.
gc-minimal-zine-poster
Codex skill for generating quiet minimal zine-style editorial poster prompts and images.
voidllm
GoPrivacy-first LLM proxy and AI gateway - load balancing, multi-provider routing, API key management, usage tracking, rate limiting. Self-hosted. Zero knowledge of your prompts.
stickman-video-director
ShellTurn copy into rich one-minute Gemini Omni Flash stickman video prompt packages.
workout-gate
PythonA Claude Code hook that blocks your prompt until you do your push-ups, counted live via webcam. Random reps, session-persistent debt (no closing the tab to skip), streak stats, and three trigger modes. Your AI works hard, so should you.
loop-library
JavaScriptA library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.
kimodo.cpp
C++Animate skeletons with natural language; NVIDIA's Kimodo ported to C++/GGML
labs-OO-Agents
PythonNVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
gorest-2d-animation-spritesheet-generator
TypeScriptCodex-assisted local 2D animation spritesheet generator and scene compositing workspace.
appless
TypeScriptWhat if your phone had no apps
canivibecodeit
JavaScriptFind out which subscriptions are one prompt away from free. caniuse.com, but for replacing SaaS with one AI prompt.
llm-space
TypeScriptA desktop app to prototype agent ideas, inspect every harness step, replay failures, and evaluate performance, all in one place. Local-first, cloud-ready for managed agents.
mu
GoOne home for agents, tools and services
loop-engineering
TypeScriptPractical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.
OptMem
PythonPermanent memory for AI agents. A 426-token prompt, a script, plug and play.
Claude-of-Duty
JavaScriptA Call of Duty-quality FPS in Three.js, built from a single prompt.
loopy
JavaScriptA library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.
unlazy
JavaScriptAnti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
autoprompt-skill
JavaScriptAutoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.
benjamin-plus-skill
ShellBenjamin-Plus: a measured token-efficiency skill for coding agents (−17.9% cost median, quality unchanged). Inject it, don't install it.
generative-ai-for-beginners
Jupyter Notebook21 Lessons, Get Started Building with Generative AI
ponytail
JavaScriptMakes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Noustiny
TypeScriptAn agent native video creation pipeline that runs on top of Hermes Agent
OpenSwarm
PythonClaude code for everything except coding
ds4
CDeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
AI-Engineering-Lab
Jupyter NotebookA free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.