PositionNovelIdea

English | 中文

Overview

position-novel-idea is a ParaSkill for idea generation, positioning, and refinement.

Frame a NEW research idea's novelty and positioning honestly, using what ARGAR showed actually moves reviewers (positioning/contribution framing, not hype). Separate genuinely-new contributions from incremental ones, draft a defensible positioning statement against prior work, and surface the novelty risks a reviewer would raise. Use at the idea-shaping stage, before any paper exists.

It is part of the ParadoxGPT / ParaSkill research workflow library. The skill is designed to be used as an agent instruction: it defines when to use the capability, what inputs are required, what output contract to follow, what failure modes to avoid, and which skill should receive the handoff next.

When To Use

Use this skill when the task matches the skill description and the required inputs are available. It is especially useful inside paper-writing, reviewing, idea-development, experiment-design, or checker workflows where the agent must produce a bounded and auditable research action rather than a generic answer.

What Is Included

PositionNovelIdea/
  SKILL.md
  agents/
    openai.yaml
  README.md
  LICENSE

SKILL.md is the actual skill instruction. README.md is this Hugging Face card.

Skill Metadata

• Skill name: position-novel-idea
• Family: creator
• Owner model: ParadoxGPT-Creator-4B
• Output type: generation
• Version: 0.1
• Default language: zh

Required Inputs

• idea_seed
• research_context

Optional Inputs

• related_work
• target_venue

Handoff

This skill can hand off to:

• reverse-engineer-paper-idea
• generate-idea-variants
• reposition-related-work

Installation

Copy the skill folder into a Codex-discoverable skills directory, or keep it inside a project repo and reference it explicitly.

Typical local install:

mkdir -p ~/.codex/skills
cp -r PositionNovelIdea ~/.codex/skills/position-novel-idea

Or use it from a project repo:

Use the position-novel-idea skill for this research workflow task.

Example Prompt

Use $position-novel-idea.

Inputs:
- paper_context: <paper or section context>
- task_goal: <what should be diagnosed, revised, judged, designed, or created>

Follow the output contract in SKILL.md. Do not invent evidence, numbers, or claims that are not present in the provided context.

Design Principles

• Keep the action bounded and auditable.
• Preserve scientific content unless the skill explicitly asks for revision.
• Distinguish real evidence from presentation changes.
• Surface failure modes and uncertainty instead of hiding them.
• Hand off to the next skill when the current task boundary is exceeded.

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中文

概述

position-novel-idea 是 ParaSkill 中面向 idea 生成、定位与打磨 的科研工作流 skill。

用“什么真的能打动 reviewer”的视角，诚实定位一个新 idea 的 novelty、边界和风险。

它属于 ParadoxGPT / ParaSkill 科研工作流库。这个 skill 不是泛泛提示词，而是一段可复用的 agent instruction：它定义什么时候使用、需要哪些输入、输出必须满足什么 contract、要避免哪些 failure mode，以及下一步应该 handoff 给哪个 skill。

什么时候使用

当任务与该 skill 的描述匹配，并且 required inputs 已经具备时使用。它适合放在论文写作、审稿模拟、idea 打磨、实验设计或 checker 工作流中，让 agent 执行边界清楚、可审计、可交接的科研动作，而不是输出一段泛泛建议。

包含内容

PositionNovelIdea/
  SKILL.md
  agents/
    openai.yaml
  README.md
  LICENSE

SKILL.md 是真正给 agent 使用的 skill instruction。README.md 是 Hugging Face 页面展示的 card。

Skill 元数据

• Skill 名称：position-novel-idea
• Family：creator
• Owner model：ParadoxGPT-Creator-4B
• Output type：generation
• Version：0.1
• 默认语言：zh

必需输入

• idea_seed
• research_context

可选输入

• related_work
• target_venue

Handoff

这个 skill 可以交接给：

• reverse-engineer-paper-idea
• generate-idea-variants
• reposition-related-work

安装方式

可以把这个 skill 文件夹复制到 Codex 能发现的 skills 目录，也可以放在项目仓库中，然后在提示词里明确引用。

典型本地安装：

mkdir -p ~/.codex/skills
cp -r PositionNovelIdea ~/.codex/skills/position-novel-idea

也可以在项目内使用：

请使用 position-novel-idea skill 处理这个科研工作流任务。

示例提示词

请使用 $position-novel-idea。

输入：
- paper_context: <论文或章节上下文>
- task_goal: <需要诊断、修改、判断、设计或生成的目标>

请严格遵守 SKILL.md 中的 output contract。不要编造上下文中不存在的证据、数字或 claim。

设计原则

• 让每次动作都有清楚边界，并且可审计。
• 除非 skill 明确要求修改，否则保持科学内容不被改写。
• 区分真实证据改进和 presentation 改写。
• 暴露 failure mode 和不确定性，不把问题藏起来。
• 超出当前 skill 边界时，交接给下一个合适的 skill。