# cuiliang/ClickShow

鼠标点击特效

Repository: https://github.com/cuiliang/ClickShow
Canonical: https://ross.abutalabs.com/products/clickshow
Language: C#
License: MIT
License Family: permissive
Archived: true
Last push: 2022-11-13T03:59:39+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1898, "days_push": 1389, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1160, forks 141 (observed 2026-08-28T04:03:49.134198+00:00)

## What it is
A Windows utility that displays visual ripple effects on mouse clicks and a position indicator around the cursor, with per-button colors and multi-monitor DPI awareness. It runs from the system tray and supports auto-start with Windows.

## Use cases
- show mouse clicks during screen recordings
- highlight cursor position in tutorials and presentations
- visualize left vs right mouse clicks with different colors
- make demos easier to follow on multi-monitor setups
- add click feedback for remote teaching or live streaming

## When to choose
- you need a lightweight Windows-only click visualizer for screencasts or demos
- you want per-button click colors and multi-screen DPI support
- you prefer a simple tray app that starts with Windows

## When to avoid
- you need click visualization on macOS or Linux
- you need advanced annotation, drawing, or zoom features beyond click effects
- you require active development and frequent updates

## Facets
- artifact type: application
- maturity: maintenance
- function: gui, developer-tools
- domain: developer-tools, desktop-applications, windows
- platform: windows
- tags: mouse-click-effects, screen-recording-aid, presentation-tool, system-tray, cursor-visualization, desktop

## Member repositories
- cuiliang/ClickShow (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:49.134198+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:31:48.129634+00:00, confidence not recorded.
  - readme: https://github.com/cuiliang/ClickShow (fetched 2026-08-28T04:03:49.134198+00:00, sha 86e6919c63af)
- Data as of 2026-08-30T08:39:29.467469+00:00.