AgentSkillsCN

consulting-models

通过cursor-agent进行多模型AI咨询与研究。支持“咨询”(向特定模型发起单次查询)、“研究”(多智能体并行查询),以及“辩论”(多轮对话)。当用户说“问GPT”“问Opus”“咨询Gemini”“做研究”“展开辩论”,或希望获得AI模型的第二意见时使用。

SKILL.md
--- frontmatter
name: consulting-models
description: Multi-model AI consultation and research using cursor-agent. Supports CONSULTATION (single query to specific model), RESEARCH (parallel multi-agent queries), and DELIBERATION (multi-round debate). Use when user says 'ask gpt', 'ask opus', 'consult gemini', 'do research on', 'deliberate on', or wants second opinions from AI models.

Consulting Models

Multi-model consultation using cursor-agent CLI.

Operation Modes

1. CONSULTATION (Single Expert)

Ask a specific AI model for focused analysis.

Triggers: "Ask [model] about", "Consult [model] on", "What does [model] think"

Models: gpt, opus, gemini

Execute:

bash
scripts/consult.sh "MODEL" "PROMPT"

Replace MODEL with alias, PROMPT with question. Output goes to stdout.

2. RESEARCH (Parallel Multi-Agent)

Launch multiple agents for comprehensive coverage.

Triggers: "Do research on", "Quick research:", "Extensive research on"

Intensities:

  • quick: 3 agents (1 per model)
  • standard: 9 agents (3 per model)
  • extensive: 24 agents (8 per model)

Execute:

bash
scripts/research.sh "TOPIC" INTENSITY OUTPUT_DIR
scripts/collect.sh OUTPUT_DIR

See references/research-workflow.md for full workflow.

3. DELIBERATION (Multi-Round Debate)

Agents critique each other and refine positions over 4 rounds.

Triggers: "Deliberate on", "Have models debate", "Peer review:"

See references/deliberation-workflow.md for full protocol.

Quick Reference

bash
# Single consultation
scripts/consult.sh "gpt" "What's the best rate limiting approach?"

# Parallel research
scripts/research.sh "API authentication" standard ./scratch/research
scripts/collect.sh ./scratch/research

Model Selection

ModelBest For
gptComplex reasoning, technical analysis
opusCode-focused, high reasoning
geminiMulti-perspective analysis

Full details: references/models.md

Synthesis

After collecting results:

  1. Identify consensus (3+ models agree)
  2. Note disagreements
  3. Rate confidence (High/Medium/Low)
  4. Provide recommendation

Template: references/synthesis-template.md