Earnings Report Analysis

Earnings Report Analysis is a Data 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 Earnings Report Analysis

Copy Earnings Report Analysis 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/earnings-report-analysis ~/.claude/skills/earnings-report-analysis

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/earnings-report-analysis/SKILL.md in byteseek/Mira
Installs to: ~/.claude/skills/earnings-report-analysis
Collection: One of 10 skills cataloged from this repository
Category: Data — 678 skills

What Earnings Report Analysis does

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.

Earnings Report Analysis is cataloged under Data on DirSkills. Earnings Report Analysis comes from a repository tagged agent-workflow, ai-agents, claude-code, codex and decision-log.

Documentation

README

Excerpt

Earnings Report Analysis Skill

这个 skill 用于对单家公司的一份季报、半年报或年报做结构化分析。它服务于 research package，但输出重点从完整投资 memo 收窄到财报质量、经营变化和预期差。

默认时间跨度是 near_term_execution 到 medium_term_revision。只有当本期财报证据触及长期驱动变量，并且被订单、客户、产能、现金流、同行或产业链证据支持时，才允许把结论升级为 long_term_thesis 或 regime_transition。

Use When

需要快速拆解一份新发布的财报
需要复核一个已有 thesis 是否被本期财报强化或削弱
需要比较本期披露与上一期、去年同期、市场预期或管理层指引
需要把财报、业绩会和市场反应整理成可追溯结论

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

Frequently asked about Earnings Report Analysis

What else does byteseek publish alongside Earnings Report Analysis?
Earnings Report Analysis 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 Earnings Report Analysis does, and is maintained by byteseek in that same repository. The rest of the collection is listed on the byteseek/Mira page.
How does Earnings Report Analysis compare to other Data skills?
Earnings Report Analysis ranks #615 by stars among the 678 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. 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 Earnings Report Analysis against them. Open each page to compare what they document and how they install.