📈
AI EngineeringPython

Equity Research Core

by byteseek

Equity Research Core is an AI Engineering skill for Claude Code, published by byteseek in Mira.

262 stars45 forkson byteseek/MiraAdded 2026/09/02+1% in starsRepository updated 2026/07/05
agent-workflowai-agentsclaude-codecodexdecision-logearnings-analysisequity-researchevidence-logfinancial-researchinvestment-researchmacro-analysismarket-researchportfolio-managementresearch-workflowsource-trackingthesis-tracking
Install in seconds
Install Equity Research Core
Copy Equity Research Core into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/byteseek/Mira/tree/main/skills/equity-research-core ~/.claude/skills/equity-research-core

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/byteseek/Mira.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/equity-research-core/SKILL.md in byteseek/Mira
Installs to
~/.claude/skills/equity-research-core
Collection
One of 10 skills cataloged from this repository
Category
AI Engineering2631 skills

What Equity Research Core does

Equity Research Core runs Mira’s single-stock research workflow across fundamentals, financial quality, macro context, pricing, events, and thesis framing. Use it for first coverage or a review when you need one traceable research package.

Equity Research Core is cataloged under AI Engineering on DirSkills. Equity Research Core comes from a repository tagged agent-workflow, ai-agents, claude-code, codex and decision-log.

Documentation

README

Equity Research Core Skill

这是当前主 research skill,用于在单次研究中统一处理:

  • 基本面
  • 财务质量
  • 宏观经济与金融条件
  • 技术面节奏
  • 事件与舆情

它不是多个独立 skill 的简单拼接,而是一个面向 research package 的主 skill。

这个 skill 现在采用:

  • 一个统一输出骨架
  • 一个 upstream analysis router
  • 一个 thesis horizon router
  • 一个 framework router
  • 一个 overlay selector
  • 多个可切换研究框架

也就是说,输出仍然统一,但研究顺序、证据权重和结论重心会随时间跨度和标的的定价主导变量变化。

在主框架之外,还允许叠加专题 overlay,用于补充特定研究路径。

Upstream Analysis Routing

进入本 skill 前,应先通过总路由确认任务确实是 single_equity

总路由见:

如果任务本质是财报事件、产业概念、宏观 regime、ETF 产品或方法论研究,应优先进入对应 loop / skill,再决定是否 handoff 到单票研究。

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Equity Research Core

  • What else does byteseek publish alongside Equity Research Core?

    Equity Research Core is one of 10 skills that DirSkills catalogs from byteseek/Mira, the repository it ships in. Its siblings there include Commodity Cycle Analysis, Data Analysis Quality Gate and ETF Listing Analysis. Each one is a separate skill with its own page in this directory, installs the same way Equity Research Core does, and is maintained by byteseek in that same repository. The rest of the collection is listed on the byteseek/Mira page.

  • How does Equity Research Core compare to other AI Engineering skills?

    Equity Research Core ranks #2259 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Equity Research Core against them. Open each page to compare what they document and how they install.

More from byteseek/Mira

Equity Research Core is one of 10 skills cataloged on DirSkills from byteseek/Mira.

See all 10 skills
🛢️
1h ago

Commodity Cycle Analysis

Commodity Cycle Analysis analyzes commodity supply-demand balances, futures curves, inventories, cost curves, policy, and positioning. Use it when commodity prices drive an asset's earnings, valuation, or trading setup.
Data
26245
🧮
1h ago

Data Analysis Quality Gate

Data Analysis Quality Gate requires reproducible inputs, formulas, and calculation ledgers for quantitative Mira conclusions. Use it when numbers affect thesis, actionability, or scenario judgments, and downgrade unsupported claims.
AI Engineering
26245
📈
1h ago

ETF Listing Analysis

ETF Listing Analysis evaluates new or pending ETF launches as product signals, then maps issuer intent, structure, exposures, and weighting mechanics. Use it to judge what the listing may imply for access, demand, and possible asset-price read-throughs.
Data
26245
📈
1h ago

ETF Listing Discovery

ETF Listing Discovery finds newly listed, filed, or announced ETFs and turns them into a structured candidate watchlist. Use it when you need to track new funds, normalize source evidence, and decide which candidates go to ETF listing analysis.
Data
26245
📊
1h ago

Earnings Report Analysis

Earnings Report Analysis structures a company’s earnings release, filing, transcript, guidance, peer comparison, and market reaction into a thesis-focused review. Use it when assessing whether a reported quarter strengthens, weakens, or changes an investment view.
Data
26245
🔎
1h ago

Industry Concept Analysis

Industry Concept Analysis maps an unclear industry concept into its boundaries, value chain, supply-demand mechanics, profit pools, and candidate stocks. Use it when you need an industry map before deeper company research.
AI Engineering
26245