OpenAgentSkill
GitHub200+

Skill rankings

Best local desktop skills for AI agents

Browse skills for computer-use agents, desktop automation, file operations, local app control, and cross-application workflows.

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Shown: 8 · Candidates: 62

Compare top 4

Saved directory data is shown because current data is unavailable. Dates and metrics may be out of date.

  1. 01

    Webapp Testing

    Use Playwright to interact with and test local web applications, capture screenshots, debug UI behavior, and inspect browser logs.

    @anthropicsBrowser Automation163,076
    Review before use
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    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    100/100
    Quality
    100/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    100/100
    Task fit
    23/100
  2. 02

    Playwright Browser Skill

    Automate a real browser from the terminal for navigation, form filling, snapshots, screenshots, extraction, and UI-flow debugging.

    @openaiBrowser Automation24,000
    Review before use
    View details
    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    88/100
    Quality
    100/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    100/100
    Task fit
    21/100
  3. 03

    Playwright

    Reliable browser automation and testing engine for web agent tasks.

    @microsoftBrowser Automation76,000
    Review before use
    View details
    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    98/100
    Quality
    100/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    90/100
    Task fit
    17/100
  4. 04

    n8n

    Workflow automation for connecting agents to repeated operational tasks.

    @n8n-ioWorkflow Automation190,000
    Review before use
    View details
    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    100/100
    Quality
    100/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    77/100
    Task fit
    18/100
  5. 05

    Browser Use

    Browser automation layer for agents that need to interact with websites.

    @browser-useBrowser Automation75,000
    Review before use
    View details
    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    98/100
    Quality
    100/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    77/100
    Task fit
    17/100
  6. 06

    GitHub

    Repository analysis, pull request review, issue triage, and release workflow automation.

    @githubCoding Agents18,000
    Review before use
    View details
    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    85/100
    Quality
    100/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    77/100
    Task fit
    16/100
  7. 07

    RNSkill Local Talking-Head Cut

    Build a reproducible local rough-cut workflow for talking-head or narrated screen-recording videos with transcript review gates.

    @PluviobyteVideo Creation797
    Review before use
    View details
    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    58/100
    Quality
    100/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    90/100
    Task fit
    13/100
  8. 08

    RNSkill Local TTS Narration

    Generate a controlled local narration workflow with auditions, version tracking, and subtitle-ready final audio.

    @PluviobyteVideo Creation797
    Review before use
    View details
    Ranking signals

    Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.

    Popularity
    58/100
    Quality
    97/100
    Freshness
    0/100
    Agent evidence
    0/100
    Evidence confidence
    0/100
    Install readiness
    90/100
    Task fit
    12/100

A shortlist from up to 480 directory candidates, not the entire registry. Stars belong to repositories. Signals are not safety guarantees or runtime verification.

How this list works

Matches task and source metadata, then considers quality, popularity and freshness. Source descriptions are not execution evidence.

Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.