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Creator Research Tracker

Community
AlphaMao1
creator-research-tracker

把 X/Twitter 博主、YouTube 博主、newsletter、播客或类似个人信息源的持续更新转成 progressive-investment-research 研究工作区的可审计增量。适用于:跟踪博主更新、生成每日报告、通过 Chrome 登录态或本地 browser bridge 抓 X、用 yt-dlp 抓 YouTube 字幕、把观点拆成 source leads、公司页、行业模块、open questions 和后续研究任务。Serenity 和 RihardJarc 是内置信息源案例,不依赖 PaiWork 专有工具。

Overview

PublisherAlphaMao1
RepositoryAlphaMao_Skills
Skill namecreator-research-tracker
Stars
131
Forks
33
Bundled files
13
Links
  • 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.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by AlphaMao1 on GitHub. Read the source before you install it.

Installation

Install the Creator Research Tracker AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/creator-research-tracker
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/AlphaMao1/AlphaMao_Skills.git /tmp/AlphaMao_Skills
mkdir -p .claude/skills
cp -r /tmp/AlphaMao_Skills/skills/creator-research-tracker .claude/skills/creator-research-tracker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Creator Research Tracker 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 Creator Research Tracker 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 Creator Research Tracker 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.

Creator Research Tracker

这个 Skill 的目标不是跟单,也不是评价博主本人,而是把高质量个人信息源的观点变成可审计、可验证、可接续的研究输入。

对人:每天先看到“博主今天发了什么、哪些值得看、链接在哪里、下一步查什么”。

对 agent:只把有研究价值的内容写入 progressive-investment-research 工作区;原始材料和低价值内容放进归档,不进入默认恢复面。

不可破坏的边界

  • 面向用户和 agent 的说明、日报、dossier 模板必须中文为主;只有枚举、脚本参数、平台字段、源文本摘录等必要位置保留英文。
  • 这是原 PaiWork Serenity 跟踪流程的通用本地版,但不替代 serenity-thesis-tracker 原版;Serenity 只是内置信息源之一。
  • 内置来源目前只保留 Serenity 和 RihardJarc;其他 creator 必须按新增来源流程显式接入,不预设未完成案例。
  • X/Twitter 默认不调用 x-digest;优先使用 Codex Chrome 插件,其次使用本 Skill 内置的 browser-bridge collector、用户导出材料,或未来显式配置的 API adapter。
  • 公开镜像站、搜索片段、缓存页只能作为辅助线索;不能把它们当成 live X 验收成功。
  • X/Twitter 正式日报和 active route 只能使用 source-language 原文或完整人工导出;X UI 自动翻译、搜索摘要、公开镜像、未点击“显示原文/Show original”或未展开“显示更多/Show more”的文本一律不合格。只抓到这类材料时,必须阻断并标记 blocked,不能生成正式日报,更不能写入研究工作区。
  • 博主观点不能直接覆盖 current-synthesis.md、modules、companies 或 models。
  • 每日报告放在 archive,供人查看和审计;agent 默认恢复只读 progressive research 的 active surface。
  • X 帖子、YouTube transcript、播客、newsletter、复制片段都先按 source lead 处理,验证后才可能进入模型。

默认流程

  1. 确认信息源和 dossier

    • 选择 Serenity、RihardJarc 或新增来源时,读 references/source-registry.md。
    • 如果还没有 dossier,用 scripts/scaffold_creator_dossier.py 创建 progressive research 骨架。
    • 如果 dossier 已存在,先读 context.md、current-synthesis.md、model-map.md、source-leads-index.md、open-questions.md、update-log.md,以及相关 modules/、companies/。
  2. 收集更新

    • X/Twitter:优先用 Codex Chrome 插件读取用户已登录 Chrome 中的 X 页面 DOM;不可用时再用 scripts/fetch_x_daily.py 连接用户授权的本地 browser bridge。
    • X/Twitter 抓取后必须通过原文质量门禁:抓取器会尝试点击 显示原文/Show original 和 显示更多/Show more;仍含 UI 翻译或未展开标记的条目会被剔除。若没有合格原文,本轮状态是 blocked,不得交付日报。
    • 如果 live X 抓取失败,可以用 --fixture-jsonl、用户导出或人工复制内容生成“非 live 日报”,但汇报必须标明 collection_status/known_gaps,不能说成无断点验收。
    • YouTube:用 scripts/fetch_youtube_transcript.py 调 yt-dlp 抓字幕/转录。缺 yt-dlp 是 setup failure,不是“没有更新”。
    • 手工输入:可以接收粘贴文本、本地文件、截图或导出材料,但必须标清来源状态。
  3. 生成每日报告

    • 主日报用 scripts/build_daily_report.py 生成 archive/creator-daily/<source_id>/<YYYY-MM-DD>.md,必须合并该博主当天所有已抓平台。
    • build 会硬拦截 x-ui-auto-translated、summary-only、original text was not expanded、搜索片段、公开镜像和 raw 文本中的 翻译自/显示原文/显示更多 等标记;遇到这些输入时不生成正式日报。
    • scripts/normalize_intake.py 只作为单平台归一化/调试工具;不能让单平台日报覆盖最终主日报。
    • 日报标准对齐 PaiWork 版:执行摘要、来源与抓取状态、今日变化、materiality 评分、content_type、研究对象/claim、低价值内容、最值得人工查看的链接、下一步研究任务。
    • 日报必须保留:链接、发布时间/抓取时间、主题/公司、重要性、建议动作、中文摘要、raw/transcript 引用。
    • 不默认保存长原文;长 transcript 单独保存并在日报里链接。
  4. 决定是否写入研究工作区

    • 写入前读 references/intake-contract.md 和 references/research-bridge.md。
    • 本 Skill 写入的目标工作区默认依赖 progressive-investment-research 标准。若当前环境没有该 Skill、没有兼容 dossier 结构,或 agent 无法读到 current-synthesis.md / model-map.md / modules/ / companies/,必须先提示安装/启用 progressive-investment-research 或创建兼容工作区;不得只生成空白 active files。
    • 每次主日报生成后,必须运行 scripts/route_research_updates.py 自动拆解到工作区。
    • route 只是第一步,不是最终交付。route 后必须按 progressive research 标准完成本轮能做的验证和填充:优先查一手来源或强二手来源,把模块页、公司页、关键关系、瓶颈、事实表、验证状态填到可接续;只有剩余无法验证或会改变模型的问题才进入 open-questions.md。
    • 自动产出必须回答:涉及哪些公司、是什么逻辑、属于什么行业、哪些待验证、哪些可以后续研究。
    • 自动 route 后必须更新 active 恢复面:source-leads-index.md、model-map.md、current-synthesis.md。source-leads-index.md 记录 source lead 路由,不代表模型变化。
    • 公司相关自动写 companies/<slug>.md;SIVE 这类对象不再建单独 tracker。
    • 行业/机制自动写 modules/<axis>.md。
    • modules/ 和 companies/ 不允许交付空壳:不要留下空表、仅写“待验证后补齐”、或只有模板字段。若证据不足,至少写明当前 source lead、已查来源、证据状态、可证伪路径、为什么暂时不能升级。
    • 只有真正需要继续研究或验证后才可能改变模型的内容写 open-questions.md;不要把所有日报条目都塞进 open questions。
    • archive-only 和 noise 不写 active files。
    • 影响核心模型时,必须先形成 model-candidate 或 current-model-update,并保留证据边界。
    • 涉及其他 dossier 时,只写 bridge candidate,不静默修改外部 dossier。
  5. 收尾汇报按“每日报告优先”

    • 先给每日报告路径和今天发了什么。
    • 再列研究写入、开放问题、bridge candidate、跳过/噪音、访问失败、验证结果。

依赖和自动化

  • 本 Skill 的 active 写入依赖 progressive-investment-research 的 dossier 标准。若环境未安装该 Skill,必须先提示安装,或先创建兼容的 progressive research 工作区。
  • 用户可以让 Agent 生成每日自动化任务:每天固定时间抓取已注册来源,生成 archive/creator-daily/<source_id>/<YYYY-MM-DD>.md,再运行 scripts/route_research_updates.py 拆到工作区并做可执行验证。
  • 自动化任务必须区分“无有效更新”和“抓取失败/登录失败/权限失败/字幕缺失/UI 自动翻译拦截”,不能把失败写成没有更新。

内置信息源

  • serenity:X-first 来源。种子定位:@aleabitoreddit / https://x.com/aleabitoreddit。所有观点先按未验证 source lead 处理。
  • rihardjarc:X + newsletter 来源。种子定位:@RihardJarc / https://x.com/RihardJarc,补充来源为 UncoverAlpha。适合 AI infrastructure、cloud CapEx、TPU/GPU economics、hyperscaler ASIC 和半导体供应链 source leads。账号拼写是 RihardJarc,不是 RichardJarc。

内置信息源只是默认配置,不是硬编码流程。实际运行时可以更新 locator。

YouTube 是可选平台能力,不是内置来源的默认平台;只有 source registry 明确注册了该 creator 的 YouTube channel/playlist,或用户本轮显式给出 YouTube 材料,才纳入主日报。

常用命令

创建 Serenity dossier:

powershell
python scripts/scaffold_creator_dossier.py D:\research\creator-serenity --source-id serenity --display-name Serenity --platform x --locator https://x.com/aleabitoreddit --handle-or-channel aleabitoreddit

生成每日报告:

powershell
python scripts/build_daily_report.py --dossier D:\research\creator-serenity --source-id serenity --display-name Serenity --date 2026-06-08 --x-jsonl D:\research\creator-serenity\archive\creator-raw\x\serenity\2026-06-08.jsonl --collection-manifest D:\research\creator-serenity\archive\creator-raw\x\serenity\2026-06-08-manifest.json

自动拆解写入工作区:

powershell
python scripts/route_research_updates.py --dossier D:\research\creator-serenity --source-id serenity --display-name Serenity --date 2026-06-08 --daily-report D:\research\creator-serenity\archive\creator-daily\serenity\2026-06-08.md --x-jsonl D:\research\creator-serenity\archive\creator-raw\x\serenity\2026-06-08.jsonl

验证 Skill:

powershell
python scripts/validate_contract.py

参考文件

  • references/source-registry.md:内置信息源、新来源接入、来源字段。
  • references/intake-contract.md:日报字段、重要性/action 枚举、证据对象映射。
  • references/research-bridge.md:写入 progressive research 工作区的门禁。
  • references/daily-analysis-prompt.md:每日拆解和写入判断用的中文提示词。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Creator Research Tracker AI skill do?

把 X/Twitter 博主、YouTube 博主、newsletter、播客或类似个人信息源的持续更新转成 progressive-investment-research 研究工作区的可审计增量。适用于:跟踪博主更新、生成每日报告、通过 Chrome 登录态或本地 browser bridge 抓 X、用 yt-dlp 抓 YouTube 字幕、把观点拆成 source leads、公司页、行业模块、open questions 和后续研究任务。Serenity 和 RihardJarc 是内置信息源案例,不依赖 PaiWork 专有工具。

Why use Creator Research Tracker on TypingMind?

Because you install it once and use it with any model. Creator Research Tracker 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 Creator Research Tracker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlphaMao1/AlphaMao_Skills/tree/main/skills/creator-research-tracker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Creator Research Tracker?

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 Creator Research Tracker?

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

Is the Creator Research Tracker AI skill free?

It is published on GitHub by AlphaMao1. 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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