AgentSkillsCN

discussion_partners

在开启深度思考模式的前提下，向另一款AI模型（OpenAI、Anthropic或Google）提问，并启用扩展思维功能。当您在解决棘手难题时陷入僵局、怀疑自己是否在原地打转，或察觉到自己尚未考虑到某个关键视角时，不妨尝试这一方法。但若能直接处理的日常任务，则不必为此费心。

SKILL.md
--- frontmatter
name: discussion_partners
description: >
  Ask a question to another AI model (OpenAI, Anthropic, or Google) with
  extended thinking enabled. Use when you are stuck on a difficult problem,
  suspect you are spinning your wheels, or sense there is an angle you have
  not considered. Do NOT use for routine tasks you can handle directly.
allowed-tools: Bash(uv run *)

Query another AI model for an outside perspective on a difficult problem. One message out, one message back — make it count.

Recommended Model

GPT-5.2 with xhigh thinking (openai:gpt-5.2, the default) is the recommended discussion partner. It has exceptional attention to detail and a strong ability to detect subtle interactions and dependencies that can be difficult to spot from inside a problem. Use it when:

  • •You suspect a bug has a non-obvious root cause
  • •You are going in circles on an architectural decision
  • •You need someone to poke holes in your reasoning
  • •A problem has interacting constraints that are hard to hold in your head simultaneously

The other providers (Anthropic, Google) are available for comparison or when you want multiple perspectives.

Framing Your Question

You get one message out and one message back. There is no follow-up. Your partner has ZERO context about what you're working on — they see only what you send. The context window is finite and expensive, so treat it like a skill prompt: include everything needed, nothing that isn't.

Your partner needs all context to answer your question. They cannot read your files, see your conversation, or infer your situation. If you don't include it, they don't know it. But context is limited, so be surgical:

  1. •Include all relevant context: code, errors, constraints, what you tried. Use mental_models to structure your thinking before asking.
  2. •State what you're stuck on: "I tried A, B, C and none work because D" — not just "help me with X"
  3. •Ask a specific question and set the frame: what kind of answer you need (diagnosis, alternative approach, code review).
  4. •Never include secrets: API keys, credentials, tokens, or private repo URLs. Your question goes to an external API.

Bad: "How do I fix this auth bug?" Good: "Here is my auth middleware [code]. Users with expired tokens get a 500 instead of 401. I have verified the token validation logic is correct and the error handler is registered. The 500 comes from [stack trace]. What could cause the error handler to be bypassed?"

Usage

bash
uv run --directory SKILL_DIR python scripts/ask_model.py -m <model> "Your detailed question with full context"

Where SKILL_DIR is the directory containing this skill. The -m flag takes a full pydantic-ai model string — the provider prefix determines which API key and thinking settings to use.

Models

The default is openai:gpt-5.2. Thinking effort is automatically set to maximum for each provider.

bash
# GPT-5.2 with xhigh reasoning (default — just omit -m)
uv run --directory SKILL_DIR python scripts/ask_model.py "question"

# OpenAI o3
uv run --directory SKILL_DIR python scripts/ask_model.py -m openai:o3 "question"

# Claude Opus 4.6 with adaptive thinking at max effort
uv run --directory SKILL_DIR python scripts/ask_model.py -m anthropic:claude-opus-4-6 "question"

# Gemini 3 Pro with thinking enabled
uv run --directory SKILL_DIR python scripts/ask_model.py -m google-gla:gemini-3-pro-preview "question"

# Codex models (via OpenAI Responses API)
uv run --directory SKILL_DIR python scripts/ask_model.py -m openai-responses:gpt-5-codex "question"
uv run --directory SKILL_DIR python scripts/ask_model.py -m openai-responses:codex-mini-latest "question"

API Key Setup

Add keys to your shell profile (~/.zshrc or ~/.bashrc):

bash
export OPENAI_API_KEY="your-key"      # Required for openai: and openai-responses: models
export ANTHROPIC_API_KEY="your-key"   # Required for anthropic: models
export GOOGLE_API_KEY="your-key"      # Required for google-gla: models

The script checks for the key before calling the API. If missing, it tells you which variable to set. If the key exists but the call fails, common errors:

  • •insufficient_quota (429): Billing issue — add credits at the provider's dashboard.
  • •invalid_api_key (401): Wrong key — check you exported the correct one and ran source ~/.zshrc.
  • •rate_limit (429): Too many requests — wait and retry.

Options

  • •--model / -m: Full pydantic-ai model string (default: openai:gpt-5.2)
  • •--system / -s: Optional system prompt override
  • •--list-models / -l: List known model names, optionally filtered by prefix (e.g. -l openai, -l anthropic). Codex models appear under openai: but must be called with openai-responses: prefix.

Multiple Calls

Each call gets zero context from previous calls. For follow-ups, include the prior exchange: "I asked X, you answered Y, help me understand Z."