Skip to content
store
incremental-implementation

Self-hosted alternatives to incremental-implementation

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 incremental-implementation

I

incremental-implementation

Delivers changes incrementally in thin, verifiable slices

incremental-implementation is an agent skill from Addy Osmani's agent-skills collection for delivering a change in thin, verifiable slices. The method is to build one piece, test it, verify it and then expand, rather than implementing a whole feature in one pass. Each increment should leave the system in a working, testable state. The skill calls this the execution discipline that makes large features manageable. It applies to any multi-file change, to building a feature from a task breakdown, to refactoring existing code, and any time the agent is tempted to write more than about a hundred lines before testing. It says not to use it for single-file, single-function changes where the scope is already minimal. The skill describes an increment cycle that the agent repeats for each slice. It is listed on skills.sh, with its security audit results shown there. It suits developers and agents who implement features across several files and want each step to be safe to stop after, so a failure is easy to locate and undo.

View incremental-implementationAll AI Skills apps
Price
Free
Made by
addyosmani
Category
AI Skills
Website
github.com/addyosmani/agent-skills/incremental-implementation