# linshenkx/prompt-optimizer

An AI prompt optimizer for writing better prompts and getting better AI results.

Repository: https://github.com/linshenkx/prompt-optimizer
Canonical: https://ross.abutalabs.com/products/prompt-optimizer
Homepage: https://prompt.always200.com
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: llm, prompt, prompt-engineering, prompt-optimization, prompt-toolkit, prompt-tuning, ai-prompts, ai-tools, prompt-optimizer, prompt-testing
Last push: 2026-08-26T08:07:53+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 99, longevity 40
- inputs: {"age_days": 567, "days_push": 7, "days_rel": 7, "gap_med": 4, "n_releases_24m": 44}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 33385, forks 3920 (observed 2026-08-28T04:11:58.285917+00:00)

## What it is
Prompt Optimizer is an AI prompt optimization tool that helps users write, refine, test, and evaluate prompts for better LLM outputs. It ships as a web app, desktop app, Chrome extension, and Docker-deployable service, with prompts manageable as reusable assets.

## Use cases
- improve my ai prompts for better results
- optimize a system prompt for a role-playing assistant
- test and compare prompt variations against an llm
- save and reuse a library of prompt templates
- optimize prompts directly in the browser while chatting
- self-host a prompt optimization tool with docker

## When to choose
- you iterate on prompts frequently and want structured optimization and evaluation
- you want a tool available as web app, desktop app, browser extension, or self-hosted Docker
- you want to build a reusable prompt asset library with testing built in

## When to avoid
- you need full prompt lifecycle management across teams with versioning and CI evaluation
- you require a non-AGPL license for commercial redistribution
- you only need simple prompt storage without optimization

## Facets
- artifact type: application
- maturity: active
- function: prompt-engineering, llm-inference, chatbot, mcp
- domain: large-language-models, artificial-intelligence, developer-tools
- platform: browser-extension, self-hosted, cross-platform
- tags: prompt-optimization, prompt-testing, prompt-templates, chrome-extension, vercel-deployment, agpl, web-server, desktop, docker

## Member repositories
- linshenkx/prompt-optimizer (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:58.285917+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:28:19.340306+00:00, confidence not recorded.
  - readme: https://github.com/linshenkx/prompt-optimizer (fetched 2026-08-28T04:11:58.285917+00:00, sha 252ef078a85c)
  - homepage: https://prompt.always200.com (fetched 2026-08-29T07:48:49.422085+00:00, sha 52f4a56f10c1)
- Data as of 2026-08-30T08:39:29.467469+00:00.