AI Reviewed Skills

Skills evaluated and scored by AI for quality and usefulness

Each skill has been evaluated by an AI reviewer on a structured rubric: instruction quality, usefulness, technical soundness, and description precision. Scores range from 0 to 100 — skills scoring 75+ (green badge) are high quality, 50–74 (gold badge) are solid with targeted value.

Showing 1-12 of 230 skills

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

7814.6k50
@vercel-labs

frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

6992.9k83
@anthropics

whisper

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.

6720.7k50
@davila7

find-skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

6320.0k131
@bytedance

self-improving

Use when starting infrastructure, testing, deployment, or framework-specific tasks - automatically searches PRPM registry for relevant expertise packages and suggests installation to enhance capabilities for the current task

6094108
@pr-pm

self-improvement

Meta-analysis for improving agent behavior, skills, and definitions. Use when patterns suggest the agent could work better, when corrected repeatedly, when a new capability would help, or when asked to reflect on performance.

58040
@kahinton

agent-browser

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video

751.0k364
@openclaw

electron-chromium-upgrade

Guide for performing Chromium version upgrades in the Electron project. Use when working on the roller/chromium/main branch to fix patch conflicts during `e sync --3`. Covers the patch application workflow, conflict resolution, analyzing upstream Chromium changes, and proper commit formatting for patch fixes.

70120.4k3
@electron

requesting-code-review

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

6682.0k1
@obra

orpc-contract-first

Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.

63132.2k1
@langgenius

visa-doc-translate

Translate visa application documents (images) to English and create a bilingual PDF with original and translation

6174.9k3
@affaan-m

debugging-agent

Self-Improving Agent that monitors all other agent skills, analyzes their logs, detects issues, and proposes improvements. AUTO-TRIGGERS: - Every 30 minutes (scheduled) - When error rate > 5% (any agent) - When 3+ recurring errors in 24h (same error type) - When performance degrades > 2x baseline

5782368
@majiayu000

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