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digitaldevotiondigitaldevotion/ai-companion-alcove/skills/file-organizer/skill.md

file-organizer

Skill2 starsChanged 38 days agoLicence not identifiedView on GitHub

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.

70 other projects use a version of this, 53 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use skill-share, meeting-insights-analyzer and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ArogyaReddySkill

    skill-share

    A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.

    Also in 25 projects that use this

  • ArogyaReddySkill

    meeting-insights-analyzer

    Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.

    Also in 39 projects that use this

  • guaderramaSkill

    lead-research-assistant

    Identifies and qualifies potential leads by analyzing products/services, understanding ideal customer profiles, conducting intelligent web research using Bright Data MCP tools, and providing actionable outreach strategies. Use when researching leads, prospecting, qualifying contacts, analyzing companies, enriching lead data, or creating outreach campaigns.

    Also in 36 projects that use this

  • trendinuxSkill

    twitter-algorithm-optimizer

    Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

    Also in 14 projects that use this

  • +8 more from ArogyaReddy

The file

We split this skill into the rules it gives an agent

10 rules. 4 are common, 5 are distinctive, and 1 is very specific to this project.

  • 4

    Common

    Most of the 63 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 63 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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