What people actually say about Skills Janitor

35 mentions across 3 sources · 39% positive · researched Oct 20, 2026

YouTube, Product Hunt, Lemmy

What users praise

  • • Usage stats drawn from real session transcripts, including auto-triggered skills
  • • Dedup uses Jaccard similarity at a 30% threshold to catch overlapping skills
  • • Token cost reporting separates always-loaded descriptions from on-demand bodies

What frustrates them

  • • Project is in maintenance mode; no active feature development expected
  • • Claude Code's native doctor commands now cover the main trim-context use case
  • • Plugin skills and bundled MCP servers are flagged but not individually deletable

This is a summary. The full report adds every quote we found, a per-source breakdown, recurring themes, hidden costs and the learning curve — run a free scan below, or see the full Skills Janitor review.

What comes up again and again about Skills Janitor

Recurring themes across everything we collected, with where each one showed up.

  • Developers discovered most installed skills are never used and quietly burn context window

    praised · seen on Product Hunt

  • Duplicate and overlapping skills fight for context space, making dedup the headline value

    praised · seen on Product Hunt

  • Open-source, no telemetry and zero dependencies make it easy to trust and run locally

    praised · seen on Product Hunt

  • Questions about how usage is measured — transcript parsing vs a proxy — came up repeatedly

    mixed · seen on Product Hunt

  • Users want a pre-install check to catch similar skills before adding another one

    mixed · seen on Product Hunt

  • Scraped discussion outside Product Hunt is mostly unrelated keyword noise

    criticised · seen on YouTube, Lemmy

How hard is Skills Janitor to learn?

Users describe it as intermediate · typically 5 minutes to get going

Where people get stuck

  • • Six slash commands plus a TUI with arrow-key semantics take a session to internalize
  • • Understanding transcript-based usage counts requires knowing where session logs live
  • • Interpreting PASS/REVIEW/RISK and Jaccard overlap percentages takes judgment
  • • Plugin-scoped skills are flagged but require manual deletion outside the tool

Who Skills Janitor actually suits

Works well for

  • • Claude Code and Codex users with 20+ skills installed and no clear picture of usage
  • • Developers who want cross-scope duplicate detection including plugin-installed skills
  • • Security-conscious teams wanting pre-install prompt-injection and overlap scans
  • • OpenAI Codex users, since Codex support remains unbundled from Claude Code's native tools

Not the right fit for

  • • Claude Code-only users who just want to trim context — native /skills and /doctor cover it
  • • Anyone expecting actively developed features and a roadmap
  • • Plugin-heavy setups where bundled skills need per-item deletion

What people are discussing right now

Discussion volume is low and trending down

  • Context window waste from unused skills
  • Duplicate and overlapping skill detection
  • MCP server triage and dead-server cleanup
  • Token cost per skill
  • Pre-install safety scanning
  • Maintenance-mode status and native Claude Code alternatives
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What people really think about Skills Janitor

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What's inside your Skills Janitor report

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Live mentions

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Praise & gripes

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Recurring themes

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Skills Janitor — questions buyers ask

What do people complain about most with Skills Janitor?

The complaints that recur most often are project is in maintenance mode, no active feature development expected, claude Code's native doctor commands now cover the main trim-context use case and plugin skills and bundled MCP servers are flagged but not individually deletable. Drawn from 35 mentions across 3 sources.

What do users like about Skills Janitor?

Users consistently praise usage stats drawn from real session transcripts, including auto-triggered skills, dedup uses Jaccard similarity at a 30% threshold to catch overlapping skills and token cost reporting separates always-loaded descriptions from on-demand bodies.

Is Skills Janitor hard to learn?

Users describe it as intermediate; most people are up and running in 5 minutes; the usual sticking points are six slash commands plus a TUI with arrow-key semantics take a session to internalize and understanding transcript-based usage counts requires knowing where session logs live.

Who should not use Skills Janitor?

Based on what users report, it is a poor fit for claude Code-only users who just want to trim context — native /skills and /doctor cover it, anyone expecting actively developed features and a roadmap and plugin-heavy setups where bundled skills need per-item deletion.

What are people saying about Skills Janitor right now?

Discussion volume is low and trending down. Current topics: context window waste from unused skills, duplicate and overlapping skill detection and MCP server triage and dead-server cleanup.

How current is this report?

Each scan runs live the moment you click — it reflects what people are saying now, and every report lists the dated mentions behind it.

Can I download it?

Yes — download the full report as a polished, shareable PDF.

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