agentic-workflow
vibeeval
Agentic Workflow Pattern
OPENAGENTSKILL / DIRECTORY
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Results: 36
vibeeval
Agentic Workflow Pattern
bytedance
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…
n8n-io
Workflow automation for connecting agents to repeated operational tasks.
davidondrej
Official Agent Skills for coding agents, research, workflow orchestration, docs, ops, and skill authoring.
rtk-ai
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
AppFlowy-IO
Bring projects, wikis, and teams together with AI. AppFlowy is the AI collaborative workspace where you achieve more without losing control of your data. The leading ope…
harry0703
利用AI大模型,一键生成高清短视频 Generate short videos with one click using AI LLM.
OthmanAdi
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…
arendst
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely l…
alirezarezvani
337 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 330+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Curso…
browser-use
Browser automation layer for agents that need to interact with websites.
activepieces
Connect agents to workflow automations and app integrations
Pluviobyte
Generate topic-first, two-part video-title candidates from an approved video brief or final script.
Pluviobyte
Route a content idea through topic capture, research, production planning, publishing, and archive steps for a video content workspace.
Pluviobyte
Plan a practical long-form video with test prompts, recording structure, narration beats, screen-recording steps, and production handoff.
Pluviobyte
Turn creator performance data into a documented retrospective, grounded hypotheses, and reusable content learnings.