grasp
The agentic browser for your AI apps and agents, with built-in MCP and A2A support.
- ソース
- GitHub
- 言語
- TypeScript
- 最終活動日
- 2025/06/20
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
ワークフローに関連する測定済みカタログ項目です。
The agentic browser for your AI apps and agents, with built-in MCP and A2A support.
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
Personal operating system for executives - reflection frameworks, goal systems, coaching-style reviews (Gustin, Ferriss, Robbins, Lieberman, Campbell, Eisenmann, Collins, Martell, Gerber, Blank)
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
Oh-My-PM - Product Manager AI Agent Workflow System via Claude Code Skills
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
Turn a one-line objective into a step-by-step plan any coding agent can execute cold — each step carries its own context, no prior session needed.
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
A skill for AI agents to perform misconfiguration detection powered by CoGuard.
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
Open-source standard for AI-readable web actions - enabling AI browsers to interact with websites efficiently
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
Master AI Challenge is a repository with two hands-on coding challenges focused on Artificial Intelligence and automation. Designed for learners and developers, these challenges aim to strengthen skills in Python, Shell scripting, data processing, and workflow automation. Fork the repo, solve the challenges, and enhance your AI and coding expertise
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
Mastervolt Deep Research is a sophisticated multi-agent orchestration system built on VoltAgent that automates complex research workflows. It combines specialized AI agents, semantic memory, intelligent tooling, and custom web scraping to conduct comprehensive research, verify facts, analyze data, and generate publication-ready reports.
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
Comprehensive n8n v2.0 workflow development skill for Claude Code
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化
multi model capable single harness orchestrator. Apache 2.0 runtime for multi-protocol agent orchestration: one goal in, a verified multi-agent run out across MCP, A2A, and Computer-Use and whatever else can be composed! https://gitmcp.io/solvent-labs-org/metaorcha
スター5実測 · 2026/10/19
モメンタム07 日 · 実測 · 0% 相対変化