longbridge-earnings-preview

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

longbridge-earnings-preview

Response language: match the user's input language — Simplified Chinese / Traditional Chinese / English.

响应语言：匹配用户输入语言——简体中文 / 繁体中文 / 英文。

What This Skill Does

本Skill功能

You help individual investors prepare for an upcoming earnings release by surfacing the information they need — without requiring them to manually dig through filings, transcripts, and news. You produce a structured preview covering 6 modules, delivered as an inline conversation summary and an optional DOCX file.

您帮助个人投资者为即将到来的财报发布做好准备，为他们呈现所需信息——无需手动查阅filings、transcripts及新闻资讯。您将生成涵盖6个模块的结构化前瞻报告，以内嵌对话摘要和可选DOCX文件的形式交付。

When to Use

使用场景

Trigger	Example
Before earnings release	"NVDA 下季度财报要关注什么" / "Preview TSLA.US Q3 earnings"
Prior guidance review	"苹果上季度给了什么指引？" / "What was AAPL's guidance last quarter?"
Earnings call Q&A	"上期电话会分析师在问什么？"
General earnings prep	"下周要发财报了，帮我梳理一下" / "Help me prepare for MSFT earnings"

Do not trigger if: the company has already reported → use earnings-update skill instead.

触发场景	示例
财报发布前	"NVDA 下季度财报要关注什么" / "Preview TSLA.US Q3 earnings"
往期业绩指引回顾	"苹果上季度给了什么指引？" / "What was AAPL's guidance last quarter?"
财报电话会问答查询	"上期电话会分析师在问什么？"
通用财报准备	"下周要发财报了，帮我梳理一下" / "Help me prepare for MSFT earnings"

请勿触发的场景：公司已发布财报 → 请改用earnings-update skill。

Output Language

输出语言规则

Follow the user's conversation language. Both the inline summary and the DOCX must use the same language — whichever the user is speaking.

English conversation → fully English output (inline + DOCX)
Chinese conversation → fully Chinese output (inline + DOCX)
User can override at any time: "write in English" / "用中文写" / "用繁體中文寫"

Always in English regardless of output language: file names, ticker symbols, CLI commands, financial metric abbreviations (EPS, EBIT, CapEx, YoY, etc.), and numeric values with currency symbols.

DOCX CJK font requirement: When generating a Chinese DOCX, every

run

element must set both the Latin font (

w:rFonts

) and the CJK font (

w:eastAsia

) explicitly — e.g. Calibri + Microsoft YaHei. Also call

set_doc_default_cjk()

on the document's Normal style. This ensures tables, headers, and body text all render correctly without falling back to system fonts.

遵循用户对话语言。内嵌摘要和DOCX文件必须使用相同语言——即用户当前使用的语言。

英文对话 → 全英文输出（内嵌摘要+DOCX）
中文对话 → 全中文输出（内嵌摘要+DOCX）
用户可随时覆盖设置："write in English" / "用中文写" / "用繁體中文寫"

无论输出语言如何，以下内容始终使用英文：文件名、股票代码、CLI命令、财务指标缩写（EPS、EBIT、CapEx、YoY等）、带货币符号的数值。

DOCX中文字体要求：生成中文DOCX时，每个

run

元素必须同时显式设置西文字体（

w:rFonts

）和中文字体（

w:eastAsia

）——例如Calibri + 微软雅黑。同时需对文档的Normal样式调用

set_doc_default_cjk()

方法。确保表格、页眉和正文文本均能正确渲染，不会 fallback 到系统字体。

Data Sources

数据来源

Priority: CLI (primary) → Web Search (supplement)

Before using any CLI command, run

longbridge <command> --help

to check the exact argument format and available options — the CLI is updated frequently and flags may change. Do not assume flag names or argument positions.

CLI docs: https://open.longbridge.com/zh-CN/docs/cli/ MCP endpoint:

https://openapi.longbridge.com/mcp

Data Needed	CLI Entry Point
Prior filings & guidance	`longbridge filing --help`
Financial statements	`longbridge financial-report --help`
Analyst consensus estimates	`longbridge consensus --help`
EPS estimates & revisions	`longbridge forecast-eps --help`
Operating history	`longbridge operating --help`
Quote & valuation	`longbridge quote --help` / `longbridge calc-index --help`
Price trend	`longbridge kline --help`
Capital flow & positioning	`longbridge capital --help`
Analyst ratings	`longbridge institution-rating --help`
News & events	`longbridge news --help`

JSON output handling: When parsing CLI JSON output with Python or jq, always save to a temp file first (

longbridge <cmd> > /tmp/data.json

), then read the file. Do not pipe directly — the CLI may append version notification lines to stdout that break JSON parsing.

Web Search supplements: earnings call transcripts, options-implied move, whisper numbers, recent industry events not yet in CLI.

优先级：CLI（主要来源）→ 网页搜索（补充）

使用任何CLI命令前，请先运行

longbridge <command> --help

检查确切的参数格式和可用选项——CLI会频繁更新，参数可能发生变化。请勿假设参数名称或位置。

CLI文档：https://open.longbridge.com/zh-CN/docs/cli/ MCP端点：

https://openapi.longbridge.com/mcp

所需数据	CLI入口
往期filings及业绩指引	`longbridge filing --help`
财务报表	`longbridge financial-report --help`
分析师一致预期	`longbridge consensus --help`
EPS预期及修正	`longbridge forecast-eps --help`
运营历史数据	`longbridge operating --help`
报价及估值	`longbridge quote --help` / `longbridge calc-index --help`
价格趋势	`longbridge kline --help`
资金流向及持仓	`longbridge capital --help`
分析师评级	`longbridge institution-rating --help`
新闻及事件	`longbridge news --help`

JSON输出处理规则：使用Python或jq解析CLI的JSON输出时，请先保存到临时文件（

longbridge <cmd> > /tmp/data.json

），再读取文件。请勿直接管道传输——CLI可能会在stdout末尾添加版本通知行，导致JSON解析失败。

网页搜索补充内容：财报电话会transcripts、期权隐含波动、市场传闻数据、CLI尚未收录的近期行业事件。

Functional Modules

功能模块

Module A — Prior Quarter Earnings Extraction

模块A — 上一季度业绩提取

Extract from the most recent earnings filing and call:

Guidance fulfillment: the key metric is always management's own prior guidance vs. actual result — not YoY comparison, not consensus vs. actual. Specifically: what did management guide for Q[N-1] at the end of Q[N-2]? How did Q[N-1] actual compare to that guidance?
Management outlook: macro/sector views, strategic priorities, capital allocation
Performance summary: for each guided metric, compute the beat/miss amount and direction

Critical rule for 【一】table columns:

指标 | 管理层此前指引（上上季电话会） | 上季实际值 | 与指引偏差 | 评估

Column 2 = management's own guidance range/midpoint, NOT market consensus
Column 3 = actual reported value
Column 4 = (actual − guidance midpoint) / guidance midpoint, with sign
Column 5 = 超预期 / 基本符合 / 不及预期

If management did not give quantitative guidance for a metric (e.g., exploration-stage companies), use operational milestone commitment vs. actual progress instead.

Use

longbridge filing --help

to locate prior filings. For transcripts not available via CLI, use web search: "[company] Q[X] earnings call transcript" or "[company] Q[X] guidance".

从最新的财报filings和电话会中提取以下信息：

业绩指引兑现情况：核心指标为管理层自身往期指引 vs 实际业绩——而非同比对比，也非市场一致预期 vs 实际业绩。具体为：管理层在Q[N-2]季末对Q[N-1]季给出了什么指引？Q[N-1]季实际业绩与该指引相比如何？
管理层展望：宏观/行业观点、战略重点、资本配置计划
业绩总结：对每个有指引的指标，计算超出/未达指引的金额及方向

【一】表格列关键规则：

指标 | 管理层此前指引（上上季电话会） | 上季实际值 | 与指引偏差 | 评估

第2列 = 管理层自身的指引区间/中值，而非市场一致预期
第3列 = 实际公布值
第4列 = (实际值 − 指引中值) / 指引中值，保留正负号
第5列 = 超预期 / 基本符合 / 不及预期

若管理层未对某一指标给出量化指引（例如处于探索阶段的公司），则改用运营里程碑承诺 vs 实际进展进行对比。

使用

longbridge filing --help

查找往期filings。若CLI无法获取transcripts，则使用网页搜索："[company] Q[X] earnings call transcript"或"[company] Q[X] guidance"。

Module B — Recent Events Tracking

模块B — 近期事件追踪

Surface events since the prior earnings release that are relevant to this quarter's results. Categorize by:

Macro / policy: rate changes, trade policy, regulatory actions
Industry: competitor moves, sector data, supply chain changes
Company: product launches, management changes, M&A rumors, major contracts, stock moves
Market sentiment: analyst rating changes, institutional activity, options implied volatility

Use

longbridge news --help

for news and

longbridge institution-rating --help

for rating changes. Use web search for events not yet indexed in CLI.

Each event: timestamp, source, relevance to upcoming earnings.

梳理上一次财报发布以来与本季度业绩相关的事件。按以下类别划分：

宏观/政策：利率变动、贸易政策、监管行动
行业：竞争对手动态、行业数据、供应链变化
公司：产品发布、管理层变动、并购传闻、重大合同、股价波动
市场情绪：分析师评级变动、机构活动、期权隐含波动率

使用

longbridge news --help

获取新闻，

longbridge institution-rating --help

获取评级变动信息。对于CLI尚未收录的事件，使用网页搜索补充。

每个事件需包含：时间戳、来源、与即将发布财报的关联性。

Module C — Prior Earnings Call Q&A Summary

模块C — 往期财报电话会问答总结

Extract from the prior earnings call transcript:

High-frequency analyst questions: topics multiple analysts pressed on (margins, segment growth, capex, etc.)
Management response: concise conclusion for each key question — not verbatim, just the key judgment
Verification significance: which of these Q&A topics will be answered or updated by this quarter's results

Source: web search for "[company] Q[X] earnings call transcript".

从往期财报电话会transcripts中提取：

高频分析师问题：多位分析师反复追问的主题（如利润率、分部增长、资本支出等）
管理层答复：每个关键问题的简洁结论——无需逐字记录，仅保留核心判断
验证意义：这些问答主题中，哪些将在本季度业绩中得到解答或更新

来源：网页搜索"[company] Q[X] earnings call transcript"。

Module D — Key Focus Framework for This Quarter

模块D — 本季度核心关注框架

Synthesize Modules A–C into an actionable preview:

Guidance fulfillment checklist: each prior quantitative guidance item → the specific data point to check
Beat / miss risk factors: what could cause results to surprise in either direction
3–5 key questions to watch: written in plain language, combining institutional focus with the user's holding thesis
Risk flags: tail risks from prior management warnings + recent external events

See references/scenarios.md for scenario analysis framework.

整合模块A–C的内容，生成可执行的前瞻报告：

业绩指引兑现清单：每个往期量化指引项 → 需要关注的具体数据点
超出/未达预期风险因素：可能导致业绩出现意外的各类因素
3–5个核心关注问题：用通俗易懂的语言撰写，结合机构关注点与用户的持仓逻辑
风险警示：来自管理层往期警告及近期外部事件的尾部风险

场景分析框架请参考references/scenarios.md。

Module E — Historical Guidance Fulfillment Tracking

模块E — 历史业绩指引兑现追踪

Pull 4–8 quarters of history to establish management's guidance track record:

Guidance vs. actual value table by quarter (revenue, profit, margins, key metrics)
Bias pattern: does management consistently guide conservatively or optimistically?
Metric reliability: which metrics have tight historical deviation (high confidence) vs. wide (apply discount)
Credibility assessment for current guidance: qualitative conclusion based on the pattern (e.g. "Revenue guidance has beaten actual by avg 3–5% over 6 quarters — current guidance likely conservative")

Use

longbridge financial-report --help

longbridge operating --help

longbridge consensus --help

提取4–8个季度的历史数据，建立管理层的业绩指引记录：

按季度列出指引 vs 实际值的表格（收入、利润、利润率、核心指标）
偏差模式：管理层是否一贯保守或乐观地给出指引？
指标可靠性：哪些指标的历史偏差较小（可信度高），哪些偏差较大（需打折扣）
当前指引可信度评估：基于偏差模式得出定性结论（例如："过去6个季度，收入指引平均超出实际值3–5%——当前指引可能偏保守"）

使用

longbridge financial-report --help

、

longbridge operating --help

、

longbridge consensus --help

获取数据。

Module F — Market Consensus vs. Management Guidance

模块F — 市场一致预期 vs 管理层指引

Identify expectation gaps between the Street and management:

Current consensus estimates for key metrics (revenue, EPS, margins)
Comparison with management guidance: is consensus above / below / within the guidance range?
Historical consensus accuracy: how well has the Street predicted results over prior quarters?
Expectation gap alerts: flag significant divergences as upside or downside risk

Use

longbridge consensus --help

and

longbridge forecast-eps --help

for consensus data.

识别市场（华尔街）与管理层之间的预期差距：

核心指标（收入、EPS、利润率）的当前市场一致预期
与管理层指引的对比：市场预期高于/低于/处于指引区间内？
历史一致预期准确性：过去几个季度，市场对业绩的预测准确度如何？
预期差警示：将显著偏差标记为上行或下行风险

使用

longbridge consensus --help

和

longbridge forecast-eps --help

获取一致预期数据。

Output

输出内容

Output 1 — Inline Conversation Summary

输出1 — 内嵌对话摘要

Use exactly the following structure. Sections with no available data must be skipped entirely with a one-line note (e.g. "暂无电话会记录，跳过"). Do not rename, reorder, or add extra sections.

📊 [公司名称（股票代码）] 财报前瞻摘要
财报发布日期：{日期} | 分析日期：{今天}
════════════════════════════════════════

【一】上期业绩指引回顾
▸ [指标]：管理层指引 {区间/中值} → 实际 {值}（{超预期/不及预期 +X%}）
  ※ 必须是管理层自身指引 vs. 实际，不是共识 vs. 实际，不是 YoY 对比
▸ ...

【二】管理层展望要点
▸ ...

【三】上期电话会 | 分析师核心 Q&A
Q1：[问题]
  ↳ 管理层答复：[结论]
  ↳ 本次关注：[需验证的指标]

【四】近期重要事件
▸ [日期] [来源] 事件描述 → 关联性：...

【五】历史指引兑现规律
▸ 收入指引：过去 N 季平均偏差 {方向} {幅度}
▸ EPS 指引：兑现率 {%}，平均偏差 {值}
▸ 本次指引可信度：{评估}

【六】市场一致预期 vs 管理层指引
  指标      市场预期   管理层指引   偏差
  收入      ...        ...          ...
  EPS       ...        ...          ...
▸ 预期差提示：...

【七】本次财报核心关注点
① ...
② ...
③ ...

【八】风险提示
⚠ ...

---
⚡ 数据来源：Longbridge CLI + Web Search | 仅供参考，不构成投资建议

严格使用以下结构。无可用数据的章节需完全跳过，并添加一行说明（例如"暂无电话会记录，跳过"）。请勿重命名、重新排序或添加额外章节。

📊 [公司名称（股票代码）] 财报前瞻摘要
财报发布日期：{日期} | 分析日期：{今天}
════════════════════════════════════════

【一】上期业绩指引回顾
▸ [指标]：管理层指引 {区间/中值} → 实际 {值}（{超预期/不及预期 +X%}）
  ※ 必须是管理层自身指引 vs 实际，不是共识 vs 实际，不是 YoY 对比
▸ ...

【二】管理层展望要点
▸ ...

【三】上期电话会 | 分析师核心 Q&A
Q1：[问题]
  ↳ 管理层答复：[结论]
  ↳ 本次关注：[需验证的指标]

【四】近期重要事件
▸ [日期] [来源] 事件描述 → 关联性：...

【五】历史指引兑现规律
▸ 收入指引：过去 N 季平均偏差 {方向} {幅度}
▸ EPS 指引：兑现率 {%}，平均偏差 {值}
▸ 本次指引可信度：{评估}

【六】市场一致预期 vs 管理层指引
  指标      市场预期   管理层指引   偏差
  收入      ...        ...          ...
  EPS       ...        ...          ...
▸ 预期差提示：...

【七】本次财报核心关注点
① ...
② ...
③ ...

【八】风险提示
⚠ ...

---
⚡ 数据来源：Longbridge CLI + Web Search | 仅供参考，不构成投资建议

Output 2 — DOCX Report (always generate by default)

输出2 — DOCX报告（默认始终生成）

Use the builders at

scripts/docx_builder.py

and

scripts/chart_builder.py

. Never write a one-off DOCX script from scratch.

Target format: rich institutional report with data tables + matplotlib charts in every section. Reference example:

00700HK_Q1_2026_Earnings_Preview.docx

(8 charts + 6 tables, 11 sections).

使用

scripts/docx_builder.py

和

scripts/chart_builder.py

中的构建器。切勿从头编写一次性DOCX脚本。

目标格式：专业机构风格报告，每个章节包含数据表格 + matplotlib图表。参考示例：

00700HK_Q1_2026_Earnings_Preview.docx

（8张图表 + 6个表格，11个章节）。

DocxBuilder API

python

import sys
sys.path.insert(0, "<skill_dir>")          # path to earnings-preview/
from scripts.docx_builder import DocxBuilder
from scripts.chart_builder import ChartBuilder

cb = ChartBuilder()
b = DocxBuilder(
    symbol="ADBE.US", company="Adobe Inc.",
    report_date="2026年6月11日", analysis_date="2026年5月6日",
    price="$250.71", market_cap="~$1013亿",
    valuation="P/E 14.06x", rating="买入（39位分析师）",
    output_path="ADBE_Q2_FY2026_Earnings_Preview.docx",
)
b.cover()
b.toc([("【一】","上期业绩指引回顾"), ...])
b.section("【一】上期业绩指引回顾")
b.body("...")
b.table(headers, rows, col_widths)
b.image(cb.quarterly_bar(...))            # embed chart
b.section("【三】上期电话会 | 分析师核心 Q&A")
b.qa("问题", "管理层答复", "本次关注指标")

python

import sys
sys.path.insert(0, "<skill_dir>")          # 指向earnings-preview/的路径
from scripts.docx_builder import DocxBuilder
from scripts.chart_builder import ChartBuilder

cb = ChartBuilder()
b = DocxBuilder(
    symbol="ADBE.US", company="Adobe Inc.",
    report_date="2026年6月11日", analysis_date="2026年5月6日",
    price="$250.71", market_cap="~$1013亿",
    valuation="P/E 14.06x", rating="买入（39位分析师）",
    output_path="ADBE_Q2_FY2026_Earnings_Preview.docx",
)
b.cover()
b.toc([("【一】","上期业绩指引回顾"), ...])
b.section("【一】上期业绩指引回顾")
b.body("...")
b.table(headers, rows, col_widths)
b.image(cb.quarterly_bar(...))            # 嵌入图表
b.section("【三】上期电话会 | 分析师核心 Q&A")
b.qa("问题", "管理层答复", "本次关注指标")

... repeat for all 8 sections ...

... 为所有8个章节重复上述操作 ...

b.disclaimer() b.save()

undefined

b.disclaimer() b.save()

undefined

ChartBuilder — available chart types

ChartBuilder — 可用图表类型

Method	Description	Typical Section
`quarterly_bar(title, quarters, values, estimate_idx, ylabel)`	季度趋势柱状图（末栏高亮为预测值）	营收趋势
`growth_lines(title, quarters, series, ylabel)`	多系列 YoY 增速折线图	营收/利润增速
`grouped_bar(title, categories, series, ylabel)`	分组柱状图（分部 vs 上期对比）	分部营收对比
`pie_pair(title1, title2, labels, values1, values2)`	双饼图（上期 vs 本期结构）	收入结构
`scenario_hbar(title, scenarios, values, current, current_label)`	情景分析横向条形图	情景分析
`peer_multiples(title_l, title_r, companies, vals_l, vals_r, highlight, ...)`	同业估值对比（P/E + P/B）	估值对比
`price_action(title, dates, prices, current, current_label, target, target_label)`	60日股价走势线图	股价走势
`analyst_pt_hbar(title, brokers, targets, current, current_label)`	分析师目标价对比	分析师共识

All chart functions return a PNG file path. Pass directly to

b.image(path)

方法	描述	典型应用章节
`quarterly_bar(title, quarters, values, estimate_idx, ylabel)`	季度趋势柱状图（最后一栏高亮为预测值）	营收趋势
`growth_lines(title, quarters, series, ylabel)`	多系列YoY增速折线图	营收/利润增速
`grouped_bar(title, categories, series, ylabel)`	分组柱状图（分部 vs 上期对比）	分部营收对比
`pie_pair(title1, title2, labels, values1, values2)`	双饼图（上期 vs 本期结构）	收入结构
`scenario_hbar(title, scenarios, values, current, current_label)`	情景分析横向条形图	情景分析
`peer_multiples(title_l, title_r, companies, vals_l, vals_r, highlight, ...)`	同业估值对比（P/E + P/B）	估值对比
`price_action(title, dates, prices, current, current_label, target, target_label)`	60日股价走势线图	股价走势
`analyst_pt_hbar(title, brokers, targets, current, current_label)`	分析师目标价对比	分析师共识

所有图表函数均返回PNG文件路径，直接传入

b.image(path)

即可。

Chart generation rules

图表生成规则

Generate charts from actual CLI data — do not fabricate numbers.
For exploration/pre-revenue companies, adapt charts: use operational milestones instead of revenue trends; use cash runway bar instead of quarterly revenue; show drill results if available.
Always include: (1) scenario chart, (2) price action chart, (3) at least one data trend chart.
If peer data is unavailable via CLI, use web search to get comparable multiples.

File name:

[SYMBOL]_Q[N]_[YEAR]_Earnings_Preview.docx

The builder handles CJK font (

Microsoft YaHei

Calibri

) on every run automatically. Never set fonts manually — just use

b.body()

b.bullet()

b.table()

b.qa()

b.image()

. String content must use straight quotes only — no curly/smart quotes inside Python strings.

使用CLI实际数据生成图表——切勿编造数据。
对于处于探索阶段/未盈利的公司，调整图表类型：用运营里程碑替代营收趋势；用现金储备柱状图替代季度营收；若有钻探结果则展示相关数据。
必须包含：(1) 情景分析图表，(2) 股价走势图表，(3) 至少一张数据趋势图表。
若CLI无法获取同业数据，使用网页搜索获取可比估值倍数。

文件名格式：

[SYMBOL]_Q[N]_[YEAR]_Earnings_Preview.docx

构建器会自动为每个run元素处理中文字体（微软雅黑 + Calibri）。切勿手动设置字体——只需使用

b.body()

、

b.bullet()

、

b.table()

、

b.qa()

、

b.image()

方法。Python字符串内必须使用直引号——禁止使用弯引号/智能引号。

Error handling

错误处理

Situation	LLM response
Shell `command not found: longbridge`	Fall back to MCP if configured; otherwise tell the user to install longbridge-terminal and provide the web-search-only preview with a clear label.
stderr `not logged in` / `unauthorized`	Tell the user to run `longbridge auth login` ; the skill can still proceed with web search for public data.
Company has already reported	Tell the user to use `longbridge-earnings` instead (post-earnings update skill).
No CLI data + no web results	State which modules have gaps; still deliver available modules — do not produce a blank report.
Other stderr	Surface verbatim — never silently retry.

场景	LLM响应
Shell提示 `command not found: longbridge`	若已配置MCP则 fallback 到MCP；否则告知用户安装longbridge-terminal，并提供仅基于网页搜索的前瞻报告，标注清晰说明。
stderr提示 `not logged in` / `unauthorized`	告知用户运行 `longbridge auth login` ；Skill仍可通过网页搜索获取公开数据继续执行。
公司已发布财报	告知用户改用 `longbridge-earnings` （财报后更新Skill）。
无CLI数据 + 无网页搜索结果	说明哪些模块存在数据缺失；仍交付已有模块内容——切勿生成空白报告。
其他stderr提示	直接显示原始内容——切勿静默重试。

MCP fallback

MCP fallback方案

If the CLI binary is unavailable and

claude mcp add --transport http longbridge https://openapi.longbridge.com/mcp

is configured:

CLI subcommand	MCP tool
`filing`	`mcp__longbridge__filings`
`financial-report`	`mcp__longbridge__financial_report`
`consensus`	`mcp__longbridge__consensus`
`forecast-eps`	`mcp__longbridge__forecast_eps`
`operating`	`mcp__longbridge__operating`
`quote`	`mcp__longbridge__quote`
`calc-index`	`mcp__longbridge__calc_indexes`
`kline`	`mcp__longbridge__candlesticks`
`institution-rating`	`mcp__longbridge__institution_rating`
`news`	`mcp__longbridge__news`

若CLI二进制文件不可用，且已配置

claude mcp add --transport http longbridge https://openapi.longbridge.com/mcp

：

CLI子命令	MCP工具
`filing`	`mcp__longbridge__filings`
`financial-report`	`mcp__longbridge__financial_report`
`consensus`	`mcp__longbridge__consensus`
`forecast-eps`	`mcp__longbridge__forecast_eps`
`operating`	`mcp__longbridge__operating`
`quote`	`mcp__longbridge__quote`
`calc-index`	`mcp__longbridge__calc_indexes`
`kline`	`mcp__longbridge__candlesticks`
`institution-rating`	`mcp__longbridge__institution_rating`
`news`	`mcp__longbridge__news`

Related skills

If the user wants …	Use
Post-earnings deep-dive (company has already reported)	`longbridge-earnings`
5-dimension fundamentals snapshot	`longbridge-fundamental`
Historical PE / PB percentile	`longbridge-valuation`
Classified news + filings + community sentiment	`longbridge-news`
Daily incremental briefing across watchlist	`longbridge-catalyst-radar`
Earnings date / calendar	`longbridge-calendar`

用户需求	使用对应Skill
财报后深度分析（公司已发布财报）	`longbridge-earnings`
五维度基本面快照	`longbridge-fundamental`
历史PE/PB分位	`longbridge-valuation`
分类新闻+filings+社区情绪	`longbridge-news`
自选股每日增量简报	`longbridge-catalyst-radar`
财报日期/日历	`longbridge-calendar`

Reference Files

参考文件

File	Contents	When to Read
scenarios.md	Bull/Base/Bear scenario framework, sector-specific key metrics, options-implied move	Building Module D scenario analysis
checklist.md	Pre-report data collection checklist and output quality checks	Before finalizing output

文件	内容	阅读时机
scenarios.md	牛市/基准/熊市情景分析框架、行业特定核心指标、期权隐含波动	构建模块D情景分析时
checklist.md	财报前数据收集清单及输出质量检查项	最终确定输出内容前

File layout

文件结构

longbridge-earnings-preview/
├── SKILL.md
├── commands/
│   └── earnings-preview.md     # /earnings-preview <SYMBOL> slash command
├── references/
│   ├── scenarios.md            # scenario analysis framework
│   └── checklist.md            # data collection + quality checklist
└── scripts/
    ├── docx_builder.py         # DocxBuilder class — DOCX generation
    └── chart_builder.py        # ChartBuilder class — matplotlib charts

longbridge-earnings-preview/
├── SKILL.md
├── commands/
│   └── earnings-preview.md     # /earnings-preview <SYMBOL> 斜杠命令
├── references/
│   ├── scenarios.md            # 情景分析框架
│   └── checklist.md            # 数据收集 + 质量检查清单
└── scripts/
    ├── docx_builder.py         # DocxBuilder类——DOCX生成工具
    └── chart_builder.py        # ChartBuilder类——matplotlib图表生成工具

longbridge-earnings-preview

Original

Translation

longbridge-earnings-preview

longbridge-earnings-preview

What This Skill Does

本Skill功能

When to Use

使用场景

Output Language

输出语言规则

Data Sources

数据来源

Functional Modules

功能模块

Module A — Prior Quarter Earnings Extraction

模块A — 上一季度业绩提取

Module B — Recent Events Tracking

模块B — 近期事件追踪

Module C — Prior Earnings Call Q&A Summary

模块C — 往期财报电话会问答总结

Module D — Key Focus Framework for This Quarter

模块D — 本季度核心关注框架

Module E — Historical Guidance Fulfillment Tracking

模块E — 历史业绩指引兑现追踪

Module F — Market Consensus vs. Management Guidance

模块F — 市场一致预期 vs 管理层指引

Output

输出内容

Output 1 — Inline Conversation Summary

输出1 — 内嵌对话摘要

Output 2 — DOCX Report (always generate by default)

输出2 — DOCX报告（默认始终生成）

DocxBuilder API

DocxBuilder API

... repeat for all 8 sections ...

... 为所有8个章节重复上述操作 ...

ChartBuilder — available chart types

ChartBuilder — 可用图表类型

Chart generation rules

图表生成规则

Error handling

错误处理

MCP fallback

MCP fallback方案

Related skills

相关Skill

Reference Files

参考文件

File layout

文件结构