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journal-selector期刊选择器

Agent Skill

journal-selector 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,868

周安装

158

GitHub Stars

公开资料未说明

下载量

1,239
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:journal-selector(期刊选择器)
来源仓库:https://github.com/shaopanguo/journal-selector
安装命令:
openclaw skills install journal-selector
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install journal-selector

简介

根据论文新颖性与作者目标推荐最佳投稿学术场所,辅助发表决策。

  • 适用于评估稿件定位、选择匹配期刊或优化发表路径的研究人员。
  • 分析内容创新性、方法严谨性与目标读者,生成定制化投稿建议。
  • 安装命令:openclaw skills install journal-selector,需输入完整论文摘要或正文片段。
  • 推荐结果受训练数据时效影响,建议交叉验证期刊当前收稿方向。

SKILL.md

name
journal-selector
description
Suggest optimal academic venues for paper submission based on paper content, novelty level, and author's goals. Activated when Chopin asks 'which journal should I submit to', 'help me find the right venue', or shares a draft seeking publication advice. Input: paper draft, abstract, or key contributions. Output: ranked list of 5-8 suitable venues with fit score, rejection risk, review speed, and reasoning. Use when Chopin is deciding where to submit a paper or comparing venues.

Journal Selector

Match papers to the right venue — maximizing acceptance odds and impact.

Input Needed

Provide one or more of:

  • Full paper draft
  • Abstract
  • Key contributions list
  • Current submission status (new / revision / rejected)
  • Author preference: speed vs. prestige, theory vs. application, impact factor priority

Output: Venue Recommendations

For each suggested venue, provide:

FieldDescription
VenueFull name + abbreviation
Fit Score1-10, how well paper matches
Match ReasoningWhy this paper fits this venue
RiskReach / Safe / Safety
Review SpeedFast (3-6mo) / Medium (6-9mo) / Slow (9-18mo)
Impact FactorIf known
Key ConcernsWhat might cause rejection here
Strategy TipHow to position the paper for this venue

Risk Classification

  • Reach: Top-tier, low acceptance rate, high impact if accepted
  • Safe: Lower-tier, higher acceptance, less prestige
  • Safety: Almost certain acceptance, but limited impact

Review Speed Classification

  • Fast: Conferences (ICRA, CDC, ACC), some letters journals
  • Medium: IEEE TIE, TCST, Neurocomputing
  • Slow: IEEE TAC, Automatica, Springer journals

Venue Categories for Control/AI Research

Tier 1 — High Prestige, Low Acceptance

  • IEEE Transactions on Automatic Control (TAC)
  • Automatica
  • International Journal of Robotics Research (IJRR)

Tier 2 — Strong, Balanced

  • IEEE Transactions on Industrial Electronics (TIE)
  • IEEE Transactions on Control Systems Technology (TCST)
  • IEEE Transactions on Robotics (TRO)
  • Systems & Control Letters
  • International Journal of Adaptive Control and Signal Processing

Tier 3 — Applied / Specialized

  • IEEE Transactions on Aerospace and Electronic Systems
  • Journal of the Franklin Institute
  • Asian Journal of Control
  • IET Control Theory & Applications

Tier 4 — Fast Conference Track

  • CDC (IEEE Conf. on Decision and Control)
  • ACC (American Control Conference)
  • ICRA (IEEE Intl. Conf. on Robotics and Automation)
  • IROS (IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems)
  • ECC (European Control Conference)

AI / Learning + Control

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Artificial Intelligence
  • Pattern Recognition and Machine Intelligence (PRAMI)

See references/venue-database.md for full venue profiles including IF, review speed, scope, and tips.

Decision Factors

  1. Paper's theory-to-application ratio — Pure theory → TAC/Automatica; Applied → TIE/TCST
  2. Novelty level — Incremental → Mid-tier; Breakthrough → Top-tier
  3. Author timeline — Need publication fast → Conference first; Can wait → Journal
  4. Target audience — Robotics community → ICRA/IROS; Control theory → CDC/ACC/TAC
  5. Revision history — Rejected from top? Suggest next-tier before re-review

Workflow

  1. Analyze paper: extract topic, method, contribution strength, application domain
  2. Map to venue categories (tier + type)
  3. Score fit for 8-12 candidate venues
  4. Select top 5-8 with varied risk levels
  5. Sort by fit score descending
  6. Include reach/safe/safety spread for author choice

Warning Signs

  • Paper is too theoretical for applied journal → expect desk rejection
  • Paper lacks experiments for IEEE Transactions → risky
  • Novelty is incremental but targeting top-tier → high rejection risk
  • Mixing control + learning communities without clear contribution to either → positioning problem

See references/venue-database.md for detailed venue profiles.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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