Sandbox
85 repos for flowClear
kubeflow/
mcp-apache-spark-history-server

MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

197
AgiFlow/
aicode-toolkit

Toolkit for Coding Agents to work reliably with repo of any size.

162
webflow/
mcp-server

Model Context Protocol (MCP) server for the Webflow Data API.

139
deckflow/
deckprobe

ffprobe for documents — probe PDF, Microsoft Office, and Apple iWork files without opening them. Rust CLI + browser WASM SDK returning structured JSON with confidence, evidence, and measured I/O cost.

120
liatrio-labs/
spec-driven-workflow

Lightweight markdown-based workflow for collaborating with AI coding assistants using spec-driven development methodology

93
barkain/
claude-code-workflow-orchestration

Claude Code plugin for multi-step workflow orchestration — automatic task decomposition, parallel agent execution, and specialized agent delegation with native plan mode integration.

84
Workflowsio/
company-os-starter-kit

Build your own Company OS with Claude Code. CLAUDE.md template, 5 GTM skills, workflow plugin, safety hooks, and full blueprint.

84
mholzen/
workflowy

Powerful CLI and MCP server for WorkFlowy: reports, search/replace, backup support, and AI integration (Claude, LLMs)

72

Compile, verify, and run multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok—with resume, replay, and incremental recomputation.

71

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence

56
netresearch/
git-workflow-skill

Agent Skill for Git workflow best practices - branching, commits, PR workflows | Claude Code compatible

48
clarity-digital-development/
tworkflow

A practical, no-hype workflow for AI coding agents: context, plan, implement, review, QA, ship, retro. Templates, two Claude Code skills, and a 40% context rule - every claim traced to official docs.

47
shinpr/
codex-workflows

Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.

37