Skip to content
store
review-loop

Self-hosted alternatives to review-loop

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Get

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Get

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Get

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Get

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Get

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About review-loop

R

review-loop

Iterative worker-reviewer cycle

review-loop is an agent skill that runs an iterative worker and reviewer cycle inside a single session. The agent does the work, spawns a reviewer subagent that critiques it and scores it from 1 to 10 with actionable feedback, then revises the work based on that feedback, and repeats until a quality gate is met. Its core principle is that first drafts are never final, and that repeated critique tends to produce better output than a single pass. The skill works best with agents that can spawn subagents. Where that is not available, it describes a way to simulate the reviewer step by opening a fresh chat context and pasting in only the work to be reviewed. It is useful for drafts that matter, such as documents, code or designs, where a second, independent look is worth the extra cycle. The skill is listed on skills.sh under the 2dmurali review-loop-skill repository and is free.

View review-loopAll AI Skills apps
Price
Free
Made by
2dmurali
Category
AI Skills
Website
github.com/2dmurali/review-loop-skill/review-loop