Skill rankings
Best workflow automation skills for AI agents
Find skills for connecting tools, automating operational tasks, scheduling jobs, processing files, and reducing repetitive manual work.
Shown: 30 · Candidates: 471
Compare top 4- 01
Webapp Testing
Use Playwright to interact with and test local web applications, capture screenshots, debug UI behavior, and inspect browser logs.
@anthropicsBrowser Automation180,366Review before useRanking 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
- 97/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 02
stop-slop
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
@hardikpandyaProductivity16,263Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 84/100
- Quality
- 100/100
- Freshness
- 80/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 17/100
- 03
GenericAgent
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
@lsdefineAgent Frameworks14,276Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 83/100
- Quality
- 100/100
- Freshness
- 78/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 17/100
- 04
unslop
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
@cursorProductivity4,829Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 74/100
- Quality
- 100/100
- Freshness
- 93/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 16/100
- 05
Crawlee
Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.
@apifyBrowser Automation25,731Review before useRanking 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
- 38/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 06
Huginn
Create agents that monitor and act on your behalf. Your agents are standing by!
@huginnAutomation49,478Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 94/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 21/100
- 07
Browser Harness
Browser Harness | Self-healing harness that enables LLMs to complete any task.
@browser-useAgent Frameworks17,301Review before useRanking 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
- 19/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 08
Playwright Browser Skill
Automate a real browser from the terminal for navigation, form filling, snapshots, screenshots, extraction, and UI-flow debugging.
@openaiBrowser Automation27,985Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 35/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 09
ToolJet
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
@ToolJetAutomation38,020Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 92/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 21/100
- 10
Planning With Files
Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
@OthmanAdiAgent Skills26,691Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 32/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 11
Conductor
Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents
@conductor-ossAutomation31,951Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 90/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 21/100
- 12
Sim
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
@simstudioaiData29,127Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 21/100
- 13
Browser Use
Make AI agents interact with websites using natural language
@browser-useWeb Automation100,530Review before useRanking 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
- 19/100
- 14
Cli
A versatile command-line tool for interacting with Google Workspace APIs, designed for both human users and AI agents.
@googleworkspaceUtility30,130Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 90/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 21/100
- 15
agent-introspection-debugging
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
@affaan-mDeveloper Tools246,349Review before useRanking 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
- 23/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- Task fit
- 17/100
- 16
Budibase
AI agents, automations and apps that run your operations. Model agnostic.
@BudibaseAutomation28,049Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 21/100
- 17
Cli
Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.
@larksuiteProductivity16,552Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 84/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 18
Andrej Karpathy Skills
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
@multica-aiDevelopment175,191Review before useRanking 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
- 87/100
- Task fit
- 19/100
- 19
Crawlee Python
Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Parsel, BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.
@apifyBrowser Automation9,507Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 80/100
- Quality
- 100/100
- Freshness
- 38/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 17/100
- 20
Deer Flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
@bytedanceAgent Frameworks71,138Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 97/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 21
Claude Code Best Practice
from vibe coding to agentic engineering - practice makes claude perfect
@shanraisshanAgent Frameworks60,686Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 22
Career Ops
AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
@santiferDevelopment59,910Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 23
Cherry Studio
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
@CherryHQAgent Skills50,398Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 94/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 24
Scrapling
Adaptive web scraping for agent data collection
@D4VinciWeb Automation70,009Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 97/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 18/100
- 25
Humanizer
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
@bladerProductivity37,414Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 92/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 26
Oh My Claudecode
Teams-first Multi-agent orchestration for Claude Code
@Yeachan-HeoAgent Frameworks36,986Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 27
Khoj
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
@khoj-aiData35,337Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 28
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 95/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 18/100
- 29
Awesome Claude Code
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
@hesreallyhimDevelopment49,745Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 94/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 18/100
- 30
Antigravity Awesome Skills
A comprehensive library of over 1,273 agentic skills for various AI coding assistants, featuring clear documentation and installation instructions.
@sickn33Development43,550Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 93/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 18/100
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.























































