How to choose AI tools for your work

New AI tools appear every day, and the lists that rank them mostly rank popularity. Popular is a fine signal, but it answers the wrong question. The useful question is which tools cover the gaps in how you work. Here is the method SkillScout is built on, written so you can do it by hand.

1. Write down where your week goes

List the tasks that take the most time or that you put off: writing reports, chasing follow-ups, cleaning data, turning designs into specs. Be specific. "Writing" is too broad; "turning interview notes into a summary every Friday" is a gap a tool can close.

2. Check what your assistant already does

Claude, ChatGPT and Gemini already handle a lot without add-ons: drafting, summarising, explaining, simple analysis of a file you upload. Try the task with your current assistant first. Install something only for the part it cannot do, usually reaching an app it cannot see or following a method it keeps forgetting.

3. Pick the right kind of tool

If the assistant needs to reach an app or data, you want an MCP server or a plugin for that app. If it needs to work a certain way every time, you want a skill. If the task happens outside the assistant, in a browser or a video editor, look for an extension or an app.

4. Judge it before you install it

Check who publishes it, when it was last updated and what access it asks for. Stars and installs show that other people use it, not that it suits you. Read the description and the README; if you cannot tell what it does in two minutes, skip it.

5. Add one at a time and remove what you do not use

Install one tool, use it for a week on the real task, then keep it or remove it. Every unused tool still costs attention, and for an assistant, every idle MCP server adds noise to each request.

General-purpose servers and skills that help in almost any job

From SkillScout's catalogue, counted on 27 October 2026: 176 entries matched this topic, and these are the 6 with the most GitHub stars, one per project, after a review for false matches. Descriptions are each project's own. Stars show popularity, not fit.

  1. context7

    Open-source tool · GitHub · 54,865 stars

    Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

    Get the code, then follow its README: git clone https://github.com/upstash/context7

  2. planning-with-files

    Agent skill · GitHub · 21,250 stars

    Claude Code skill implementing Manus-style persistent markdown planning, the workflow pattern behind the $2B acquisition.

    Get the code, then follow its README to add the skill: git clone https://github.com/OthmanAdi/planning-with-files

  3. Memori

    Open-source tool · GitHub · 14,085 stars

    Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.

    Get the code, then follow its README: git clone https://github.com/MemoriLabs/Memori

  4. context-mode

    Agent skill · GitHub · 13,748 stars

    Context window optimization for AI coding agents. Sandboxes tool output, 98% reduction. 14 platforms

    Get the code, then follow its README to add the skill: git clone https://github.com/mksglu/context-mode

  5. MemOS

    Open-source tool · GitHub · 8,942 stars

    Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings

    Get the code, then follow its README: git clone https://github.com/MemTensor/MemOS

  6. engram

    MCP server · GitHub · 4,970 stars

    Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.

    Get the code, then follow its README: git clone https://github.com/Gentleman-Programming/engram

Questions

How many AI tools should I use?

Fewer than you think. A handful that each cover a real gap beat a long list you never open. Review them every month or two.

Can a tool do this for me?

SkillScout does steps one to four: your own AI writes a profile of how you work, and SkillScout scores about 22,000 tools against your gaps and returns a short ranked list with install steps.

Related

Your own list

This page ranks by popularity. SkillScout's scan ranks by fit: the AI you already use writes a short profile of how you work, and SkillScout scores about 22,000 AI tools against your gaps and hands back a short list with install steps. It is free, and the server never saves your profile.

Run your scan