Conference Call Takeaway Skill

Organization

Wind-Alice

conference_call_takeaway_skill

提炼业绩会中的新信息、管理层语气变化、问答焦点与潜在警讯。适用于听完业绩会、阅读纪要后快速更新观点等场景。

Overview

Publisher	Wind-Alice
Repository	`AliceMarket`
Skill name	`conference_call_takeaway_skill`
Stars	135
Forks	18
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Wind-Alice on GitHub. Read the source before you install it.

Installation

Install the Conference Call Takeaway Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Wind-Alice/AliceMarket/tree/main/skills/conference_call_takeaway_skill
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Wind-Alice/AliceMarket/tree/main/skills/conference_call_takeaway_skill

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Wind-Alice/AliceMarket.git /tmp/AliceMarket
mkdir -p .claude/skills
cp -r /tmp/AliceMarket/skills/conference_call_takeaway_skill .claude/skills/conference_call_takeaway_skill

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Conference Call Takeaway Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Conference Call Takeaway Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Conference Call Takeaway Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Conference Call Takeaway Skill

数据依赖与执行前置条件

推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill；若没有，提示用户安装：

bash
# GitHub
npx skills add Wind-Information-Co-Ltd/wind-skills --skill wind-mcp-skill -g -y

# Gitee 镜像（国内）
npx skills add https://gitee.com/wind_info/wind-skills.git --skill wind-mcp-skill -g -y

技能定位

本技能用于从业绩会或类似管理层交流材料中提炼真正有价值的新信息，重点回答“管理层到底新增说了什么、哪些语气和措辞值得警惕、分析师最追问什么、哪些内容会改变后续研究重点”。输出重点不是会议逐段转述，而是帮助使用者抓住会后最值得更新的判断。

执行流程

Step 1：确认会议范围与阅读目标

先确认对应的是哪次业绩会、投资者交流会或经营更新会，并明确用户最关心的用途：

快速复盘会议重点
判断管理层说法是否强化原观点
提炼团队分享纪要
寻找会后需要继续验证的风险点

若用户未说明，默认按“会后快速更新研究判断”展开。

Step 2：先抓新增信息，再看重复表述

会议材料通常包含大量重复表述，应优先筛出真正有新增价值的部分：

对业绩、需求、订单、利润率等的边际更新
对前次未明确问题的补充回答
对市场争议点的正面回应或回避
对未来节奏、优先事项、资本配置的最新表态

如果某段内容只是重复公开口径，应降级处理，避免占据核心摘要。

Step 3：识别管理层语气与信号变化

除了字面内容，还要关注表达方式变化，包括：

相比上次更乐观、更谨慎或更防守
对某类问题更愿意展开，还是刻意收缩
对风险描述更具体，还是用笼统表述遮掩不确定性
是否出现前后不一致、模糊化或转移焦点的情况

这一步的目标是捕捉“说了什么”和“怎么说”之间的差异。

Step 4：提炼问答环节的真正焦点

分析师或投资者在问答里反复追问的内容，通常更接近市场核心分歧。应重点总结：

被反复追问的变量是什么
管理层回答是否直接、充分、可验证
哪些问题被回答得很强，哪些仍然含糊
是否有某个问题暴露出管理层准备不足或市场担忧加深

Step 5：沉淀会后更新与警讯

在会议读完后，需要明确：

哪些原有观点被强化
哪些新信息要求修正研究框架
哪些风险虽未完全暴露，但已经出现苗头
后续最需要继续核验的经营变量是什么

Step 6：整合成会后摘要成稿

最终输出应是一份可直接转发、可直接用于内部讨论的会后提炼，不展示逐段阅读过程或原始摘抄堆叠。

输出结构

{股票名称}业绩会提炼（{YYYY-MM-DD}）

一、30 秒结论

本场会议最重要的新信息：{一句话}
管理层整体语气：{更积极 / 基本稳定 / 转谨慎}
最值得警惕的信号：{一句话}
会后判断：{逻辑强化 / 有待验证 / 风险上升}

二、会议新增信息

新增信息 1：{内容}
新增信息 2：{内容}
新增信息 3：{内容}

三、管理层语气变化

观察点	本次表现	含义
需求表述	{内容}	{说明}
利润率/成本表述	{内容}	{说明}
未来节奏表述	{内容}	{说明}

四、问答焦点与回答质量

市场最关心的问题：{内容}
回答最充分的问题：{内容}
回答最模糊的问题：{内容}

五、会后警讯与后续验证

{警讯 1}
{警讯 2}
{后续验证点}

六、研究更新建议

应更新的判断：{内容}
暂不下结论的部分：{内容}

质量要求

必须优先呈现新增信息，不把会议重复内容当作重点。
不能只摘抄管理层原话，要转化成研究意义。
问答环节的焦点和回答质量必须单独处理，因为它通常最接近市场分歧。
语气变化要结合上下文判断，避免把正常措辞差异误判为趋势变化。
输出应服务“会后更新观点”，而不是沦为冗长会议纪要。

Frequently asked questions

What does the Conference Call Takeaway Skill AI skill do?

提炼业绩会中的新信息、管理层语气变化、问答焦点与潜在警讯。适用于听完业绩会、阅读纪要后快速更新观点等场景。

Why use Conference Call Takeaway Skill on TypingMind?

Because you install it once and use it with any model. Conference Call Takeaway Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Conference Call Takeaway Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wind-Alice/AliceMarket/tree/main/skills/conference_call_takeaway_skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Conference Call Takeaway Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Conference Call Takeaway Skill?

As many as you like. As long as a model supports skills, you can use Conference Call Takeaway Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Conference Call Takeaway Skill AI skill free?

It is published on GitHub by Wind-Alice. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Conference Call Takeaway Skill

数据依赖与执行前置条件

技能定位

执行流程

Step 1：确认会议范围与阅读目标

Step 2：先抓新增信息，再看重复表述

Step 3：识别管理层语气与信号变化

Step 4：提炼问答环节的真正焦点

Step 5：沉淀会后更新与警讯

Step 6：整合成会后摘要成稿

输出结构

{股票名称}业绩会提炼（{YYYY-MM-DD}）

一、30 秒结论

二、会议新增信息

三、管理层语气变化

四、问答焦点与回答质量

五、会后警讯与后续验证

六、研究更新建议

质量要求

Frequently asked questions

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