Serenity Research Model

Reconstruct Serenity-style investment research logic from public X/Twitter posts, saved threads, exported post datasets, public summaries, and ticker histories. Use when an agent needs to analyze @aleabitoreddit/Serenity, decompose AI or semiconductor supply-chain investment theses at the smallest practical unit, build a structured signal dataset, evaluate public calls versus later price action, or produce a reusable Serenity-style research model for portable agent platforms such as Claude Code, OpenClaw, Codex-style skill systems, or other local AI agent runtimes.

14 stars 3 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add quantskills/skill-serenity-research-model --skill serenity-research-model

Manual install

git clone --depth 1 https://github.com/quantskills/skill-serenity-research-model.git /tmp/skill-serenity-research-model
mkdir -p ~/.claude/skills
cp -r /tmp/skill-serenity-research-model/. ~/.claude/skills/serenity-research-model

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

```json qsh-form
{
  "version": 1,
  "task": {
    "placeholder": "请提供 Serenity 公开帖子、导出数据、线程链接或整理笔记，并说明研究目标",
    "required": true
  },
  "fields": [
    {
      "key": "mode",
      "label": "处理阶段",
      "type": "select",
      "default": "full",
      "options": [
        { "value": "full", "label": "完整研究流程" },
        { "value": "extract", "label": "提取信号" },
        { "value": "clean", "label": "清洗与复核" },
        { "value": "evaluate", "label": "评估公开观点" },
        { "value": "report", "label": "生成研究模型" }
      ]
    },
    {
      "key": "focus",
      "label": "研究重点",
      "type": "text",
      "placeholder": "例如：AI、半导体供应链、特定股票或瓶颈主题"
    }
  ],
  "prompt_template": "{{#task}}任务与材料：\n{{task}}\n\n{{/task}}{{#attachments}}用户上传的材料（已放入工作区）：\n{{attachments}}\n\n{{/attachments}}按 {{mode}} 阶段处理 Serenity 的公开材料{{#focus}}，重点研究 {{focus}}{{/focus}}；将帖子拆解为最小可用信号单元，区分事实与推断、主动论点与引用或回顾内容，保留失败、修正和中性样本，在价格数据可用时评估多周期后续表现，并披露资料边界与未经验证的收益主张，输出中文报告。"
}
```

# Serenity Research Model

Use this skill to turn Serenity public materials into a reproducible research model. The goal is not to verify private profits or copy trades; the goal is to reverse-engineer observable reasoning patterns from public posts and test how those public signals behaved afterward.

## Core Workflow

1. Collect public materials.
   - Prefer user-provided X exports, saved post URLs, copied threads, archived HTML, CSV, JSON, or manually curated notes.

Read the full skill on GitHub

Details

Skill name: serenity-research-model
Repository: quantskills/skill-serenity-research-model
License: GPL-3.0
Repo updated: 16 July 2026

FAQ

What does the Serenity Research Model skill do?

How do I install the Serenity Research Model skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add quantskills/skill-serenity-research-model --skill serenity-research-model. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Serenity Research Model popular?

It lives in quantskills/skill-serenity-research-model, which has 14 GitHub stars and 3 forks.

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