PROMPTS
1346 original and curated AI prompts across image, video, music, and tutorials. Browse by tool, use case, and difficulty; each entry shows its available notes and examples.
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Agent OS: Extract Codebase Standards and Auto-Inject into AI Agents
Borrowing the three-layer architecture from buildermethods/agent-os (Standards / Product / Specs): have AI first scan your codebase to extract existing conventions into documented standards, then auto-inject them every time it writes code — so you never have to re-explain the rules.
AGENTS.md Starter Kit: Minimal and Advanced Templates for Codex and Any Agent
Two AGENTS.md templates drawn from Ischca/awesome-agents-md (CC0): "minimal" is a five-line checklist you can run with right away, and "advanced" covers five sections — environment, testing, conventions, safety, and example tasks. They let an AI coding agent know the rules the moment it enters your project.
An AGENTS.md / CLAUDE.md Rule Template for Next.js App Router Projects
Rewrites awesome-cursorrules' Next.js App Router standard into an AGENTS.md/CLAUDE.md you can drop straight into your project root, so Claude Code, Codex, and Cursor automatically follow Server-Components-first, file-based routing, TypeScript, and performance conventions when writing Next.js.
A Scalability-Focused AGENTS.md / CLAUDE.md Template for Go Backends
Rewrites awesome-cursorrules' Go backend scalability standard into an AGENTS.md/CLAUDE.md covering idiomatic error handling, context propagation, interface abstraction, concurrency, and observability — so AI follows standard conventions and trade-off analysis when writing Go services.
Codex config.toml in Practice: Approval Modes × Sandbox Isolation × Profiles
A ready-to-paste ~/.codex/config.toml template that sets up OpenAI Codex CLI's approval policy, sandbox isolation, reasoning effort, and multiple profiles in one go — balancing automation efficiency with safety boundaries.
Build Your Own Agent Skill Interactively with Anthropic's skill-creator
Anthropic's official skill-creator: a meta-skill that "asks you clarifying questions, produces a SKILL.md, runs evals, refines the trigger description, and packages everything into a .skill file." It teaches you to build reusable Claude skills using a standardized directory structure and progressive disclosure.
Anthropic's algorithmic-art Skill: Reproducible p5.js Generative Art
Anthropic's official algorithmic-art skill: write an 'algorithmic philosophy' first, then turn it into an interactive HTML piece with p5.js. The core is Art Blocks-style seeded randomness (same seed = same image), paired with tunable parameters and seed navigation, letting you systematically explore generative art techniques like flow fields and particle systems instead of randomly flailing.
OpenAI Codex's AGENTS.md: Rules for AI Written by a Real Large Project
A breakdown of the AGENTS.md actually in use in OpenAI's official codex repository — see how a project with millions of lines of code writes team conventions like formatting, testing, commits, module size limits, and API naming into an instruction file that an AI agent can understand and follow, plus a Traditional Chinese adaptation template you can apply directly to your own project.
The AGENTS.md Starter Template: A Minimal File Any AI Agent Can Understand
The AGENTS.md file from the official agents.md standard project itself, demonstrating what a 'minimal but complete' agent rules file looks like — telling AI to use the dev server instead of building during development, restart after dependency changes, and which commands run lint/test/build — with a directly reusable template.
GitHub Spec Kit: The Four-Stage Spec-Driven Development Workflow (/specify → /plan → /tasks → /implement)
GitHub's official open-source tool for Spec-Driven Development. Using /speckit.specify → /plan → /tasks → /implement, it turns a vague requirement into an executable specification end to end, then has the AI generate code from that spec — fixing the unpredictability of 'vibe coding.'
ai-dev-tasks: PRD to Task List to One-Subtask-at-a-Time AI Workflow
Uses two Markdown templates (create-prd.md and generate-tasks.md) to turn 'dumping a pile of requirements on AI' into a controlled process: first generate a PRD, break it into a checkable task list, then complete one subtask at a time — pausing after each for your go-ahead before continuing.
agent-rules-books: Classic Software Books Distilled into AGENTS.md Rules
Distills 14 classic software engineering books (Clean Code, Refactoring, Domain-Driven Design, The Pragmatic Programmer, Working Effectively with Legacy Code, and more) into imperative rule sets you can paste directly into AGENTS.md / CLAUDE.md / Cursor rules, offered in full / mini / nano sizes so you can pick based on your context budget.
wshobson's Flagship code-reviewer Subagent: A Senior Reviewer Inside Claude Code
Installs the flagship code-reviewer subagent from wshobson/agents (36k stars, MIT license) into Claude Code, giving you an Opus-powered senior reviewer specialized in security, performance, and maintainability that automatically takes over review after every commit.
VoltAgent Subagent Directory: Choosing and Installing Claude Code Subagents
Uses VoltAgent/awesome-claude-code-subagents (154+ subagents, 10 categories, MIT license) as a curated directory for picking the right subagent and installing it into Claude Code's .claude/agents/ using the standard YAML format.
VoltAgent Codex Subagent Directory: Installing Specialist Agents via TOML in ~/.codex/agents
Uses VoltAgent/awesome-codex-subagents (166+ subagents, 13 categories, MIT license) as a Codex-equivalent curated directory, teaching you to define subagents in .toml format under ~/.codex/agents/ and invoke Codex subagents explicitly.
SuperClaude Framework: /sc: Commands and Cognitive Personas for Claude Code
Distills the open-source SuperClaude framework's /sc: command system and cognitive-persona mechanism into a ready-to-use workflow prompt, upgrading Claude Code from "one question, one answer" into a structured development process covering everything from brainstorming to implementation, testing, documentation, and version control.
Agent-Rules Pack: Conventional Commits + 6-Persona PR Review + 5 Whys Root-Cause Analysis
Curates three core project-rules from steipete/agent-rules into a single rule pack usable directly as a slash command: semantic commits (12 types plus emoji, with automatic splitting into atomic commits), a 6-persona professional PR review, and 5 Whys root-cause analysis.
Writing Tech-Stack Rules into AGENTS.md / CLAUDE.md (Adapted from awesome-cursorrules)
Borrows the approach from the 40k-star awesome-cursorrules repo to codify 'how to write for a given tech stack' into a project rule file, so Cursor / Claude Code / Codex always produce code in your conventions instead of generic boilerplate.
Claude Code CLAUDE.md Generator: Set It Up Once, Not Every Session
Has Claude Code scan your repo and produce a tight, verifiable CLAUDE.md project memory file under 200 lines—covering build/test/lint commands, directory structure, conventions, and prohibitions—while routing anything that doesn't belong there into skills or path-scoped rules instead.
Claude Code Slash Command Designer: One-Click Custom /commands
Turns the checklist or multi-step process you re-paste every time into a custom slash command (.claude/commands/<name>.md, or the newer .claude/skills), with correct frontmatter, $ARGUMENTS parameters, live context pre-injected via `!cmd` (git diff, PR content), and permissions scoped down with allowed-tools.
Claude Code Skill Factory: Turn Repetitive Workflows Into SKILL.md
Has Claude Code interview you about a repetitive manual process, then produce a fully-structured Agent Skill (SKILL.md) covering name/description/trigger conditions/step-by-step instructions/acceptance criteria/supporting references, and verify it can be triggered automatically as well as invoked via a /slash command.
Claude Code + MCP: Connect External Tools to Your Dev Agent Safely
Has Claude Code help you connect an MCP server (a database, Notion, GitHub, your own API...), choosing the right transport and scope, using .mcp.json or claude mcp add, handling secrets and OAuth securely, and finally demonstrating how mcp__server__tool tools and @resource pull external data into your workflow.
Claude Code Plan-First: Force a Reviewable Plan Before Touching Any Code
Applies the spirit of Plan Mode so Claude Code hands over a structured plan (files affected, steps, risks, acceptance criteria) before touching any file—you review, correct, and approve it before execution begins. Prevents the AI from charging ahead and writing a pile of things you didn't want.
Claude Code TDD Loop: Red, Green, Refactor Done Right
Forces Claude Code through a strict red→green→refactor cycle: for every behavior, first write a test that fails (red) and actually run it to prove the failure, then write the minimal implementation that just makes it pass (green), and finally refactor under the safety of the passing tests. Cures the AI's old habit of jumping straight to the happy path, skipping edge cases, and faking test coverage.