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multi-llm-orchestrator

Multi-LLM orchestration and consensus synthesis workflow.

Skill by xushengyu2003-sys

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/xushengyu2003-sys-multi-llm-orchestrator

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Multi-LLM orchestration and consensus synthesis workflow. Use when the user asks a complex, open-ended question that would benefit from multiple AI perspectives — such as investment decisions, business strategy, career planning, product design, or risk assessment. The workflow broadcasts the question to 3 specialized LLM roles (planner, expert, evaluator), synthesizes their outputs into a consensus/divergence analysis, presents an interactive synthesis card for user feedback, then runs a second round of refinement and generates a final unified plan.

Use cases: design, ml, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/multi-llm-orchestrator

What's inside

Skill name
multi-llm-orchestrator
Description
Multi-LLM orchestration and consensus synthesis workflow. Use when the user asks a complex, open-ended question that would benefit from multiple AI perspectives — such as investment decisions, business strategy, career planning, product design, or risk assessment. The workflow broadcasts the question to 3 specialized LLM roles (planner, expert, evaluator), synthesizes their outputs into a consensus/divergence analysis, presents an interactive synthesis card for user feedback, then runs a second round of refinement and generates a final unified plan.
License
unknown
Instructions
123 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (5)

  • SKILL.md
  • feishu-synthesis-card-template.json · assets/
  • model-pool-config.json · references/
  • prompt-templates.md · references/
  • generate_synthesis_card.py · scripts/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from xushengyu2003-sys/openclaw-workspace

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Last commit (this folder)
Apr 14, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/xushengyu2003-sys/openclaw-workspace
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from xushengyu2003-sys

Cite this page

multi-llm-orchestrator skill. Agent Mart. https://agentmart.dev/skills/xushengyu2003-sys-multi-llm-orchestrator (last updated 2026-10-24)