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EffortlessMetrics/flow-studio

Runner + UI to execute and visualize swarm runs (flows, receipts, transcripts) with stepwise backends.

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Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/EffortlessMetrics/flow-studio/tree/main/.claude/skills/heal_selftest

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/EffortlessMetrics/flow-studio/tree/main/.claude/skills/heal_selftest ~/.claude/skills/flow-studio

# Project-specific

git clone https://github.com/EffortlessMetrics/flow-studio/tree/main/.claude/skills/heal_selftest .claude/skills/flow-studio

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/EffortlessMetrics/flow-studio/tree/main/.claude/skills/heal_selftest"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/EffortlessMetrics/flow-studio/tree/main/.claude/skills/heal_selftest

Option 2: Clone to extensions directory

git clone https://github.com/EffortlessMetrics/flow-studio/tree/main/.claude/skills/heal_selftest ~/.gemini/extensions/flow-studio

Topics

ai-agents automation ci-cd claude code-review codex devex gemini-cli github-actions governance llm observability orchestration pull-requests sdlc telemetry testing

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