TreeMap
무료 오픈소스 디스크 사용량 시각화 도구로, 사각형 트리맵·중복 파일 탐색·디스크 가득 예측·정리 시 파일을 휴지통으로만 이동한다
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Tune your AI like an equalizer. Pick an archetype, dial the faders, set hard rules — get a ready-to-paste system prompt for Claude, ChatGPT, Gemini, or Grok.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Tune your AI. Like an equalizer — but for how it talks.
PromptEQ is a visual custom-instructions builder. Pick an archetype, drag the faders, set your rules, and watch a sample reply and your instructions update live. When you're happy, polish them with AI and paste them into Claude, ChatGPT, Gemini, or Grok.
Dark homepage hero.
Generator with a prompt output in the terminal.
Most people use AI on default settings — which is like using a speaker with no EQ. PromptEQ lets you dial in exactly how your assistant thinks, talks, and pushes back.README 전문 보기 ↗Tune your AI. Like an equalizer — but for how it talks.
PromptEQ is a visual custom-instructions builder. Pick an archetype, drag the faders, set your rules, and watch a sample reply and your instructions update live. When you're happy, polish them with AI and paste them into Claude, ChatGPT, Gemini, or Grok.
Dark homepage hero.
Generator with a prompt output in the terminal.
Most people use AI on default settings — which is like using a speaker with no EQ. PromptEQ lets you dial in exactly how your assistant thinks, talks, and pushes back.
Four steps:
The Control Booth stays on screen the whole time. It shows a Default AI vs Your AI reply to a sample question, and the live instructions draft, which highlights each line as it changes. The draft is ready to paste as-is. Polish with AI rewrites it for your platform, then checks the result: every rule you set has to survive, emoji rules are enforced, and the text has to fit the platform's length limit. If the rewrite fails, it retries once with feedback; if it fails again, you keep the draft.
Every level of the Candor fader keeps an accuracy over agreement floor: the faders change how criticism is delivered, never whether the AI tells you you're wrong.
| Preset | Vibe | Good For |
|---|---|---|
| ⚡ Operator | Blunt. Fast. No fluff. | Decision-making, quick answers |
| ♟️ Strategist | Pushback and nuance. | Thinking partner, tradeoff analysis |
| 🔬 Learner | Patient. Step-by-step. | Learning new topics, research |
| 🎨 Creator | Riff mode. Loose structure. | Brainstorming, ideation |
| Fader | Range |
|---|---|
| Directness | Warm ↔ Blunt |
| Length | Minimal ↔ Deep |
| Candor | Gentle ↔ Stress-test |
| Analogies | Literal ↔ Analogy-first |
| Structure | Narrative Prose ↔ Bullets & Tables |
| Answer Order | Context First ↔ TL;DR First |
Hard constraints that override the archetype defaults:
Instructions are shaped per platform. ChatGPT gets two separate boxes, each with a live counter against its 1,500-character limit; the other platforms get one block with a suggested length.
grok-4.20-0309-non-reasoning, ~7s, strict JSON-schema output)npm run build, then npm start)There is a backend: an API route that validates your settings, builds the prompt on the server (so the endpoint can't be used as an open LLM proxy), and calls xAI. It's rate-limited per IP (8 polishes a minute) and each model call times out after 20 seconds. No user data is stored.
git clone https://github.com/machovato/PromptEQ.git
cd PromptEQ
npm install
Create a .env.local file in the root:
XAI_API_KEY=your_xai_api_key_here
# Optional: override the polish model; set XAI_REASONING_EFFORT only for models that accept it
# XAI_MODEL=grok-4.3
# XAI_REASONING_EFFORT=low
Then run:
npm run dev
Open http://localhost:3000.
Run the tests (Node's built-in runner, no extra dependencies):
npm test
PRs welcome. If you're pulling on this — hi 👋 — open an issue or just fork and go.
MIT