Agent skill

Creator Research Tracker

by AlphaMao1 in AlphaMao1/AlphaMao_Skills

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…

MITAuto-check passedWriting & Content

Install Creator Research Tracker

skills CLI
$ npx skills add AlphaMao1/AlphaMao_Skills --skill creator-research-tracker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AlphaMao1/AlphaMao_Skills creator-research-tracker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AlphaMao1/AlphaMao_Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/creator-research-tracker .claude/skills/creator-research-tracker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
creator-research-tracker
GitHub stars
130
Token cost
~1.6k tokens
SKILL.md length
321 words
Files
20 (incl. scripts, references)
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

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…

  • Works in 5 steps: 确认信息源和 dossier → 收集更新 → 生成每日报告 → …
  • Tasks that involve Newsletters
  • SKILL.md covers 不可破坏的边界, 默认流程, 依赖和自动化 and 内置信息源, plus 2 more sections
  • Runs Python scripts from its folder; calls python; reaches x.com

What it does

Creator Research Tracker is an agent skill from AlphaMao1/AlphaMao_Skills. 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。

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 23 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `fixtures/youtube_demo_manifest.json`).

It sits in Writing & Content, covering Newsletters. It works with YouTube and X (Twitter). The licence is MIT.

When your agent uses it

  • Tasks that involve Newsletters

Example prompts

  • “/creator-research-tracker”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 确认信息源和 dossier
  2. 收集更新
  3. 生成每日报告
  4. 决定是否写入研究工作区
  5. 收尾汇报按“每日报告优先”

What it can do on your machine

Read from SKILL.md and the folder at commit 27ffcc6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 5 files in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • x.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Creator Research Tracker loads about 1.6k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 75 tokens; SKILL.md has 321 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from AlphaMao1/AlphaMao_Skills at commit 27ffcc6, republished under its MIT licence (© AlphaMao1). 321 words, ~1,559 tokens.

Download SKILL.mdSave it as .claude/skills/creator-research-tracker/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.
name
creator-research-tracker
description
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。

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。

© AlphaMao1, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 19 other files (scripts, references) in skills/creator-research-tracker of AlphaMao1/AlphaMao_Skills.

  • SKILL.md
  • .gitignore
  • LICENSE
  • README.md
  • agents/openai.yaml
  • fixtures/serenity_x_posts.jsonl
  • fixtures/youtube_demo_manifest.json
  • fixtures/youtube_demo_transcript.txt
  • references/daily-analysis-prompt.md
  • references/intake-contract.md
  • references/research-bridge.md
  • references/source-registry.md
  • scripts/build_daily_report.py
  • scripts/creator_tracker_lib.py
  • scripts/fetch_x_daily.py
  • scripts/fetch_youtube_transcript.py
  • scripts/normalize_intake.py
  • … and 3 more

Open the folder on GitHubat commit 27ffcc6

Compare with similar skills

Creator Research Tracker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Creator Research Tracker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Creator Research Tracker this skillAlphaMao1/AlphaMao_Skills130—~1.6kAutomated safety check: PassMIT
Content Repurposer Smsblacktwist/social-media-skills559—~3.7kAutomated safety check: PassMIT
Blog RepurposeInfrasity-Labs/dev-gtm-claude-skills139—~2.3kAutomated safety check: PassMIT
Social Media Pro Maxcriptogus/agent-evolve-network288—~1.6kAutomated safety check: PassCustom licence
Content Remix StudioLeoYeAI/openclaw-master-skills2.2k—~4.5kAutomated safety check: PassMIT
Influencer Discoverytigerless-labs/influencer-discovery212—~2.5kAutomated safety check: NotesNone

Similar skills

  • Content Repurposer Sms

    blacktwist/social-media-skills

    When the user wants to turn one piece of content into multiple formats or adapt content across text-first and visual-first platforms (LinkedIn, Twitter/X, Threads, Bluesky, Facebook, Instagram…

    559 GitHub stars~3.7k tokensUpdated 5 mo ago
    Writing & ContentAuto-check passed
  • Blog Repurpose

    Infrasity-Labs/dev-gtm-claude-skills

    Repurpose blog posts for social media, email, YouTube, Reddit, and LinkedIn.

    139 GitHub stars~2.3k tokensUpdated 3 mo ago
    Writing & ContentAuto-check passed
  • Social Media Pro Max

    criptogus/agent-evolve-network

    State-of-the-art viral content + social design intelligence.

    288 GitHub stars~1.6k tokensUpdated yesterday
    Writing & ContentAuto-check passed
  • Content Remix Studio

    LeoYeAI/openclaw-master-skills

    Transform one piece of content into platform-optimized versions for YouTube, TikTok, Twitter/X, LinkedIn, Instagram, newsletters, and blogs.

    2.2k GitHub stars~4.5k tokensUpdated 2 mo ago
    Writing & ContentAuto-check passed
  • Influencer Discovery

    tigerless-labs/influencer-discovery

    Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.

    212 GitHub stars~2.5k tokensUpdated 17 days ago
    Marketing & SEOAuto-check: notes
  • Changelog Social Recap

    FlorianBruniaux/claude-code-ultimate-guide

    Turns CHANGELOG.md entries for a release or a week into LinkedIn, Twitter/X, newsletter and Slack posts in French and English.

    6.1k GitHub stars~1.8k tokensUpdated 2 days ago
    Writing & ContentAuto-check: notes

More from AlphaMao1/AlphaMao_Skills

All 11 skills in this repo
  • Serenity Thesis Tracker

    AlphaMao1/AlphaMao_Skills

    PaiWork-first Serenity (@aleabitoreddit) investment thesis tracking system.

    130 GitHub stars~1.8k tokensUpdated 16 days ago
    Auto-check passed
  • Notion Course Pack Init

    AlphaMao1/AlphaMao_Skills

    Initialize or repair a Notion Course Pack workspace, or create a real course from a complete book, course, paper set, transcript set, local files, pasted materials, or authorized Notion pages.

    130 GitHub stars~2.9k tokensUpdated 16 days ago
    Auto-check passed
  • Market Sizing

    AlphaMao1/AlphaMao_Skills

    市场规模测算工具 (TAM/SAM/SOM)。适用于用户提到「市场规模」「market size」「TAM」「SAM」「SOM」或需要估算目标市场大小时使用。

    130 GitHub stars~1.9k tokensUpdated 16 days ago
    Auto-check passed
  • Pick Movie Theater

    AlphaMao1/AlphaMao_Skills

    按影片版本、用户位置、具体影厅能力、当前场次与证据,推荐值得去的影院、具体影厅和选座区域。用于用户询问一部电影应该看什么厅、IMAX/杜比/CINITY/CGS/ScreenX/4DX/LED 等格式怎么选、附近或全城最佳影院、某场次是否匹配影片版本,以及有无选座截图时坐哪里。

    130 GitHub stars~1k tokensUpdated 16 days ago
    Auto-check passed
  • Position Thesis Monitor

    AlphaMao1/AlphaMao_Skills

    将新闻、电话会、年报与日线行情和技术面变化送入统一的 Jev 监控流程,检查投资假设、解释证据冲突并按需复核。用于建立持仓监控、研究变化、检查风险或历史回放。

    130 GitHub stars~967 tokensUpdated 16 days ago
    Auto-check passed
  • Progressive Investment Research

    AlphaMao1/AlphaMao_Skills

    构建和维护可累积的研究认知模型。适用于持续投资研究、行业/公司/技术主题研究、独立 Research dossier、Current Model 状态恢复、材料吸收、并行搜索、模型更新、范围拆分合并、promote 到 Obsidian 主知识库前审计,以及用户要求“研究一下/更新模型/现在我们知道什么/把重要成果入库”时使用。

    130 GitHub stars~3.3k tokensUpdated 16 days ago
    Auto-check passed

Questions about Creator Research Tracker

What does Creator Research Tracker 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…. Creator Research Tracker is an agent skill from AlphaMao1/AlphaMao_Skills.

When should I use Creator Research Tracker?

Creator Research Tracker fits situations like: tasks that involve Newsletters.

How do I install Creator Research Tracker in Claude Code?

Run `npx skills add AlphaMao1/AlphaMao_Skills --skill creator-research-tracker -a claude-code`. Or copy the skill folder (skills/creator-research-tracker in AlphaMao1/AlphaMao_Skills) into .claude/skills/creator-research-tracker in your project. Claude Code loads it when a task matches its description.

How do I install Creator Research Tracker in Codex?

Run `npx skills add AlphaMao1/AlphaMao_Skills --skill creator-research-tracker -a codex`. Or copy the skill folder (skills/creator-research-tracker in AlphaMao1/AlphaMao_Skills) into .agents/skills/creator-research-tracker in your project. Codex loads it when a task matches its description.

Can I use Creator Research Tracker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AlphaMao1/AlphaMao_Skills --skill creator-research-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/creator-research-tracker, .gemini/skills/creator-research-tracker, .github/skills/creator-research-tracker and .opencode/skills/creator-research-tracker in your project.

What does Creator Research Tracker need to run?

Going by SKILL.md and its folder, Creator Research Tracker needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Creator Research Tracker access the network?

SKILL.md names 1 domain. In commands or code: x.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Creator Research Tracker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Creator Research Tracker use?

Creator Research Tracker is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Creator Research Tracker use?

About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.3k tokens, read only when the agent opens those files.

What are the alternatives to Creator Research Tracker?

Skills that share tags, products or a category with Creator Research Tracker: Content Repurposer Sms (blacktwist/social-media-skills, 559 stars), Blog Repurpose (Infrasity-Labs/dev-gtm-claude-skills, 139 stars), Social Media Pro Max (criptogus/agent-evolve-network, 288 stars) and Content Remix Studio (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Creator Research Tracker?

AlphaMao1 (a GitHub user) maintains it in AlphaMao1/AlphaMao_Skills, which has 130 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 23, 2026.

Source: AlphaMao1/AlphaMao_Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.