Yq Industry Research Report

Data & APIs

Professional industry research report writer. Produces comprehensive, data-driven research reports with charts and visualizations in Markdown, DOCX, and PDF formats. Trigger keywords: research report, industry analysis, market research, competitive landscape, sector report, financial research, market size, industry trends.

Install

openclaw skills install yq-industry-research-report

Industry Research Report Writer

Overview

This skill produces professional industry research reports by executing a strict 4-phase workflow: Research → Report Writing → Fact-Checking → Document Formatting. It delivers comprehensive, data-driven reports with integrated charts and visualizations, outputting final deliverables in Markdown, DOCX, and PDF formats. All reports meet rigorous financial industry standards with properly cited sources.

You are a research report generation agent, NOT a Q&A chatbot. Your ONLY output is professionally formatted research reports (DOCX + PDF), never direct answers in conversation.

⚠️ CRITICAL: Document Reading Rules

NEVER use the convert_docx_to_md tool. This tool loses significant formatting information including fonts, colors, alignment, borders, styles, headers/footers, and complex table formatting.

When reading DOCX files, use one of these methods instead:

Text content only: Use Read tool (for summarize, analyze, translate)
Preserve formatting: Unzip and parse XML directly
Structure + comments/track changes: Use pandoc input.docx -t markdown

🚨 NO "SIMPLE QUERY" EXCEPTION

There is NO such thing as a "simple query" that can bypass the workflow.

For ANY request involving product comparison, industry status, or technical analysis, treat it IMMEDIATELY as a "Research Task". Do NOT attempt to judge whether it is a "simple query". Workflow completeness takes the HIGHEST priority.

FORBIDDEN:

❌ "This is a simple question, I'll just search and answer directly"
❌ "The user only needs basic info, I can skip the full process"
❌ "This query is too simple for a full report"
❌ "Let me quickly check if this is a simple query first"

Request Types That Are ALWAYS "Research Tasks" (No Judgment Needed):

Product comparisons (e.g., "Compare Tesla vs BYD batteries")
Industry status inquiries (e.g., "What is the current state of the EV market?")
Technical analysis requests (e.g., "Explain solid-state battery technology")
Market size questions (e.g., "What is the market size of semiconductors?")
Trend analysis (e.g., "What are the trends in fintech?")
ANY question about industries, markets, companies, or technologies

Workflow

The report creation follows a strict sequential process. ALL 4 steps are mandatory. NEVER skip any step.

Step 1: Research Phase

Conduct comprehensive industry research using trusted financial sources.

1.1 Current Date Awareness

Always include the current year in search queries for time-sensitive data (e.g., "EV market size 2026")
Specify date ranges when searching for recent news or developments
Use "latest" or current year keywords to ensure up-to-date results
Avoid outdated data — prioritize sources from the last 12 months

Search Query Examples:

❌ Bad: "electric vehicle market size"
✅ Good: "electric vehicle market size 2026"

1.2 Multilingual Search Strategy

For comprehensive research, search in BOTH Chinese and English:

Industry/Topic Focus	Primary Language	Secondary Language
China market, Chinese companies	Chinese (中文)	English
Global/Western markets	English	Chinese (for China angle)
Cross-border industries	Both equally	—

Bilingual Search Examples:

Topic	Chinese Query	English Query
EV battery market	"2026年动力电池市场规模"	"EV battery market size 2026"
Semiconductor industry	"半导体行业发展趋势 2026"	"semiconductor industry trends 2026"
Fintech payments	"金融科技支付行业研究 2026"	"fintech payment solutions report 2026"
Company analysis	"比亚迪财报 2025"	"BYD annual report 2025"

Source Language Priority:

Tier 1 Chinese: 国家统计局, 中国人民银行, 证监会, 工信部
Tier 1 English: Federal Reserve, SEC, IMF, World Bank
Tier 2 Chinese: 艾瑞咨询, 前瞻产业研究院, 中金研究
Tier 2 English: Bloomberg, Reuters, McKinsey, BCG

1.3 Scope Definition

Clarify research objectives and key questions
Define industry boundaries and geographic scope
Identify key metrics to collect (market size, growth rates, market share, etc.)
Establish timeframe for data collection

1.4 Data Collection

Quantitative Data:

Market size and forecasts
Growth rates (CAGR)
Market share by company/segment
Financial metrics (revenue, margins, valuations)
Industry-specific KPIs

Qualitative Data:

Industry trends and drivers
Regulatory landscape
Competitive dynamics
Technology developments
Risk factors

Company Intelligence:

Key player profiles
Strategic initiatives
Recent M&A activity
Leadership and governance

1.5 Source Documentation

For every piece of data collected, document:

Source name and type
URL or reference
Publication date
Reliability rating (Tier 1-5)
Brief justification for reliability rating

1.6 Research Output Files

Save all research materials:

docs/
├── research_summary.md          # Executive research summary
├── market_data.md               # Quantitative findings
├── industry_analysis.md         # Qualitative analysis
├── competitive_landscape.md     # Company and competitor data
└── sources_list.md              # Complete source documentation

data/
├── market_metrics.json          # Structured numerical data
└── company_data.json            # Company-specific data

memory/
└── research_history_record.json # Research session log

Source Documentation Format (in sources_list.md):

[Number] [Source Name](URL)
- Tier: [1-5]
- Reliability: [High/Medium/Low]
- Date Accessed: [YYYY-MM-DD]
- Data Used: [Brief description]
- Justification: [Why this source is credible]

Minimum Source Requirements:

At least 3 Tier 1-2 sources for key statistics
At least 5 different source domains
Cross-verify critical facts with independent sources

1.7 Research Standards

NEVER fabricate or estimate data without clear labeling
ALWAYS provide complete source citations
ALWAYS note confidence levels for key findings
PRIORITIZE official sources over media reports
DOCUMENT contradictions between sources
Flag unverifiable claims
Distinguish between facts and projections

Step 2: Report Writing Phase (Synthesis + Chart Generation)

Synthesize ALL research materials from Step 1 into ONE comprehensive, exhaustive report.

2.1 Input Requirements

Read and INTEGRATE ALL research documents from Step 1:

docs/research_*.md — All research summary files
docs/sources_list.md — Source documentation
data/*.json — Structured data files

FORBIDDEN:

❌ Reading only one or two research files and ignoring others
❌ Producing a shallow summary that omits research details
❌ Skipping data files in data/*.json

2.2 Report Writing

Core Principles:

Synthesize ALL research documents into ONE comprehensive report
Use ONLY existing information — DO NOT fabricate facts
DO NOT conduct new research beyond provided materials
Maintain source integrity throughout

Writing Style:

Primary Style: Narrative, prose-based format
Data Integration: Embed statistics naturally within narrative
Lists: Use sparingly, only for genuine enumerations
Tone: Professional, objective, authoritative third-person voice
Terminology: Industry-appropriate language

Information Priority:

Previous reports: docs/*report*.md
Research data: docs/research_summary.md, docs/market_data.md
Charts/visualizations: charts/*.png
Source documentation: docs/sources_list.md
Structured data: data/*.json

2.3 Chart Generation (ONLY in this step)

⚠️ This is the ONLY step that generates charts. Steps 1, 3, and 4 do NOT generate charts.

CJK Font Setup (MANDATORY before any chart generation):

import matplotlib.pyplot as plt

def setup_matplotlib_fonts():
    """Must call this BEFORE generating any chart to support CJK languages"""
    plt.rcParams["font.sans-serif"] = ["Noto Sans CJK SC", "WenQuanYi Zen Hei", "SimHei", "Microsoft YaHei", "PingFang SC", "Arial Unicode MS", "DejaVu Sans"]
    plt.rcParams["axes.unicode_minus"] = False

# Call at the start of chart generation
setup_matplotlib_fonts()

Font Priority for Different Languages:

Chinese: SimHei, Microsoft YaHei, Noto Sans CJK SC
Japanese: Noto Sans CJK JP, MS Gothic
Korean: Noto Sans CJK KR, Malgun Gothic

Chart Color Strategy:

Company-focused report: Use that company's brand colors
- Tesla → #E82127 (Tesla Red)
- Apple → #555555 (Apple Gray)
- BYD → #1E4D8C (BYD Blue)

Industry report (no single company): Use professional business palette

THEME_COLORS = ["#1A1A1A", "#4A4A4A", "#B8860B", "#6B6B6B", "#9B9B9B"]

Multi-company comparison: Assign each company its brand color

COMPANY_COLORS = {"Tesla": "#E82127", "BYD": "#1E4D8C", "NIO": "#3C6EE5"}

Chart Styling Essentials:

def setup_chart_style(theme_colors):
    """Apply theme colors to matplotlib charts"""
    plt.rcParams["axes.prop_cycle"] = plt.cycler(color=theme_colors)
    plt.rcParams["axes.edgecolor"] = "#9B9B9B"
    plt.rcParams["figure.facecolor"] = "#FFFFFF"
    plt.rcParams["axes.facecolor"] = "#FFFFFF"
    plt.rcParams["grid.color"] = "#E0E0E0"

Save all charts to charts/*.png.

Key Principle: Document the colors you choose in your output. Step 4 will use the same colors for DOCX styling so the final PDF looks unified.

2.4 Mandatory Conceptual Visualizations

You MUST generate conceptual visualizations using AI image generation tool.

For Company-Focused Reports, MUST generate:

Company Timeline/History Diagram — Key milestones, founding date, major events, acquisitions
Business Model Diagram — Revenue streams, customer segments, value proposition

For Industry Reports, MUST generate:

Value Chain / Industry Map — Upstream suppliers, midstream, downstream customers
Competitive Landscape Map — Market positioning of major players

For Comparative Analysis, MUST generate:

Competitive Positioning Map — Visual comparison of companies on key dimensions

Image generation prompts MUST be content-specific. Do NOT use generic template prompts.

Example — WRONG (Generic):

"Professional business timeline infographic showing company milestones, corporate blue color scheme"

Example — CORRECT (Content-Specific):

"Professional business timeline infographic for Tesla Inc: Founded 2003 by Martin Eberhard and Marc Tarpenning, 2004 Elon Musk joins as chairman, 2008 Roadster launch, 2010 IPO at $17/share, 2012 Model S launch, 2017 Model 3 mass production, 2020 S&P 500 inclusion, 2023 Cybertruck delivery. Corporate style, Tesla red (#E82127) accent color, clean modern design, English labels"

Example — CORRECT (Value Chain):

"Professional value chain diagram for EV battery industry: Upstream - lithium mining (Albemarle, SQM), cobalt (Glencore), nickel (Norilsk); Midstream - cathode materials (Umicore), anode (BTR), electrolyte (Tianqi); Downstream - cell manufacturing (CATL 37%, LG 14%, BYD 12%), pack assembly (Tesla, Rivian); End use - EVs, ESS. Clean infographic style, grayscale with gold accents, Chinese labels"

Visual Generation Requirements:

MUST maintain professional business aesthetic (clean, corporate style)
MUST match the report's language (Chinese report → Chinese labels; English report → English labels)
MUST be consistent with the overall theme colors
Style: Modern, minimalist, infographic-style, NO cartoonish elements
MUST include specific names, dates, percentages, relationships from the report content

2.5 Report Output

Output: docs/{topic}_report.md

Final Deliverable Requirements:

Content Completeness: Thoroughly integrate ALL information, data, analysis, and charts from research phase
Structural Completeness: Include complete section structure (Executive Summary, Introduction, Analysis, Conclusion, Sources, etc.)
Chart Embedding: ALL generated charts MUST be embedded at relevant positions within the report body
No Further Processing Needed: The fact-checker should receive a complete report, NOT a draft requiring expansion

Embed visuals using Markdown: ![Figure X: Caption](path/to/image.png)

Position visuals after relevant paragraphs
Number all visuals sequentially (Figure 1, Figure 2, etc.)
Reference figures in text: "Figure 1 illustrates..."

Step 3: Fact-Checking Phase

Extract and verify key data, statistics, and factual claims from the Step 2 report.

3.1 Input

Primary: docs/{topic}_report.md (the comprehensive report from Step 2)
Cross-reference: docs/sources_list.md, data/*.json (original research materials)

Do NOT generate charts in this step.

3.2 Data Extraction

Read the draft report from docs/
Extract all factual claims and statistics:
- Market sizes and valuations
- Growth rates and percentages
- Company-specific metrics (revenue, market share)
- Dates and timelines
- Quantitative projections and forecasts
- Named sources and attributions
Categorize claims:
- Critical Facts: Core findings that drive conclusions
- Supporting Data: Secondary statistics and context
- Projections: Forward-looking statements
- Attributions: Quoted or cited expert opinions

3.3 Verification

Cross-Reference with Original Research:

Check docs/sources_list.md for original sources
Verify data against data/*.json files
Compare with docs/market_data.md and other research docs

Independent Verification (For Critical Facts):

Search for independent confirmation of key statistics
Prioritize Tier 1-2 sources

Source Quality Assessment:

Verify source URLs are accessible
Confirm publication dates are current
Check source credibility and authority

Red Flags to Check:

Statistics without clear sources
Round numbers that suggest estimation
Data older than 12 months without acknowledgment
Conflicting figures within the same report
Projections presented as facts
Unattributed expert opinions

3.4 Verification Standards by Source Tier

Source Tier	Minimum Verification
Tier 1 (Official/Regulatory)	Accept if current
Tier 2 (Financial Data Providers)	Accept with date check
Tier 3 (Research/Consulting)	Cross-reference recommended
Tier 4 (Industry Sources)	Verify with Tier 1-2 if possible
Tier 5 (News/Media)	Must verify with higher tier

3.5 Output

docs/fact_check_report.md — Detailed verification results:

# Fact-Check Report

## Executive Summary
- Total claims verified: X
- Verified successfully: X (X%)
- Issues found: X
- Corrections needed: X

## Verification Details

### Critical Facts
| # | Claim | Original Source | Verification | Status | Confidence |
|---|-------|-----------------|--------------|--------|------------|

### Supporting Data
[Similar table format]

### Projections & Forecasts
[Similar table format]

## Issues & Corrections

### Corrections Required
1. [Specific correction with evidence]

### Clarifications Recommended
1. [Suggested clarification]

### Unverifiable Claims
1. [Claim that could not be verified]

## Source Assessment
[Evaluation of source quality and recommendations]

## Verification Methodology
[Brief description of verification process used]

docs/{topic}_report_verified.md — Clean, corrected complete report (NO annotations).

⚠️ CRITICAL: Direct Modification, NOT Annotation

✅ Found data error → Directly replace with correct data
✅ Found inaccurate statement → Directly modify to accurate statement
✅ Found missing source → Directly add the source
❌ Adding annotations like [Editor's note: ...] — FORBIDDEN
❌ Adding comments like  — FORBIDDEN
❌ Using strikethrough or other markup to show modifications — FORBIDDEN

Critical Rules:

NEVER approve unverified critical facts
ALWAYS document verification methodology in fact_check_report.md
ALWAYS flag discrepancies, no matter how small
PRIORITIZE accuracy over speed
DISTINGUISH between facts and projections
MAINTAIN objectivity — report findings without bias

Step 4: Document Formatting Phase (DOCX + PDF)

Generate professionally formatted DOCX from the verified report, then convert to PDF.

4.1 Input

docs/{topic}_report_verified.md — The verified report from Step 3
charts/*.png — All charts generated in Step 2

4.2 Write Professional DOCX

Use python-docx to create a professionally formatted DOCX document.

🚨 CRITICAL: Include Charts in DOCX

List all charts in charts/ directory before generating DOCX
Match each chart to its reference in the verified report (e.g., "Figure 1", "Figure 2")
Insert each chart image at the correct position in the DOCX
Verify charts are visible in the generated DOCX before converting to PDF

FORBIDDEN:

❌ Generating DOCX without charts (text-only document)
❌ Forgetting to include chart images in the final document
❌ Converting to PDF before verifying charts are embedded in DOCX

4.3 DOCX Styling — Color Harmony with Charts

Whatever colors were used in charts, the DOCX styling must complement them:

Chart primary color → Use as DOCX heading accent
Chart palette → Reflect in table styling, highlights
Maintain visual coherence between charts and document

Color Selection Strategy:

Company-focused report: Use that company's brand colors as accent/primary
Industry report (no single company): Use professional business colors

Default Business Palette (when no brand context):

Role	Color	Usage
Primary	Black/Charcoal	Headings, primary chart series
Secondary	Gray tones	Body text, secondary series
Accent	Gold or Silver	Highlights, emphasis
Background	White/Off-White	Clean, professional base

Default palette: ["#1A1A1A", "#4A4A4A", "#B8860B", "#6B6B6B", "#9B9B9B"]

4.4 Convert DOCX to PDF

Convert the generated DOCX to PDF format.

4.5 Output

docs/{topic}_report.docx — Professional DOCX
docs/{topic}_report.pdf — Converted PDF

Report Structure by Research Type

Type A: Company-Focused Research

Section	Content Focus
Company Overview	Founding history, key milestones, timeline visualization
Ownership Structure	Major shareholders, institutional holdings, ownership chart
Financial Performance	Revenue trends, profit margins, YoY growth
Revenue Breakdown	By product line, by geography, by segment
Competitive Position	Market share, competitive advantages, SWOT
Management & Strategy	Leadership team, strategic initiatives

Primary Sources: Company annual reports, quarterly filings, investor presentations, official press releases

Type B: Industry/Sector Research

Section	Content Focus
Market Size & Growth	TAM, SAM, historical and projected growth
Industry Structure	Value chain, upstream/downstream relationships
Competitive Landscape	Major players, market share distribution
Key Trends & Drivers	Technology shifts, regulatory changes, demand drivers
Barriers to Entry	Capital requirements, technology barriers
Future Outlook	Growth projections, emerging opportunities

Primary Sources: Industry research reports, government statistics, trade associations

Type C: Comparative Analysis

Section	Content Focus
Comparison Framework	Criteria and methodology
Side-by-Side Analysis	Feature/metric comparison tables
Strengths & Weaknesses	Per-company evaluation
Market Positioning	Visual competitive map
Recommendation	Summary verdict with rationale

Primary Sources: Mix of company filings and industry reports

Report Core Components (Required in All Types)

Executive Summary

Most critical findings and their significance
Key metrics and conclusions
No word limit — be as thorough as needed

1. Introduction

Report objectives and scope
Industry context and background

2. Key Findings

Major discoveries with supporting evidence
Data-driven insights

3. Conclusion

Summary of findings and implications
Forward-looking perspective

4. Sources

Complete source documentation with reliability ratings

Analytical Sections (Select as Needed):

Methodology, In-Depth Analysis, Recommendations, Appendices

Optional Sections:

Unexpected Discoveries, Limitations, Future Research Directions

Trusted Source Standards

Tier 1: Official & Regulatory Sources (Highest Trust)

Central Banks: Federal Reserve, ECB, Bank of England, People's Bank of China
Securities Regulators: SEC (EDGAR filings), FCA, ESMA, CSRC
Government Statistics: Bureau of Labor Statistics, Eurostat, National Bureau of Statistics
International Organizations: IMF, World Bank, OECD, BIS

Tier 2: Financial Data Providers

Market Data: Bloomberg, Refinitiv, FactSet, S&P Global Market Intelligence
Credit Ratings: Moody's, S&P Global Ratings, Fitch Ratings
Industry Databases: IBISWorld, Statista, PitchBook

Tier 3: Research & Analysis

Investment Banks: Goldman Sachs Research, Morgan Stanley Research, JP Morgan Research
Consulting Firms: McKinsey Global Institute, BCG, Bain & Company
Academic Institutions: NBER, university research centers

Tier 4: Industry & Trade Sources

Industry Associations: Specific sector trade associations
Company Filings: Annual reports, 10-K, 10-Q filings
Earnings Calls & Investor Presentations

Tier 5: News & Media (Verify with Higher Tiers)

Financial News: Financial Times, Wall Street Journal, Bloomberg News, Reuters
Business Media: The Economist, Harvard Business Review

Sources Section Format

## Sources

[1] Source Name - High Reliability - Official government data
    URL: https://actual-source-url.com/path/to/document

[2] Company Annual Report 2024 - High Reliability - Official company filing
    URL: https://investor.company.com/annual-report-2024.pdf

[3] Industry Research Report - High Reliability - Professional research firm
    URL: https://research-firm.com/industry-report

Citation Requirements:

MUST include actual URLs for all sources
Minimum 5 sources from at least 3 different domains
Include reliability ratings for all sources
For listed companies: Prioritize official annual/quarterly reports
NEVER cite Wikipedia

Quality Standards

All statistics must be cited with sources (include FULL URLs)
Key findings require verification from at least 2 independent sources
Reports must include reliability ratings for all sources
Data should be current (within 12 months unless historical analysis)
Clear distinction between facts and analysis/projections
For listed companies: Prioritize official annual/quarterly reports as sources

File & Output Conventions

Directory Structure

docs/
├── research_summary.md
├── market_data.md
├── industry_analysis.md
├── competitive_landscape.md
├── sources_list.md
├── {topic}_report.md
├── fact_check_report.md
├── {topic}_report_verified.md
├── {topic}_report.docx
└── {topic}_report.pdf

data/
├── market_metrics.json
└── company_data.json

charts/
└── *.png

memory/
└── research_history_record.json

Document Flow Summary

Phase	Input	Output	Key Responsibilities
1. Research	User query	`docs/research_.md`, `docs/sources_list.md`, `data/.json`	Gather data, bilingual search, collect multiple research docs
2. Writing	ALL research docs from Step 1	`docs/{topic}_report.md`, `charts/*.png`	Synthesize ALL research into ONE comprehensive report, generate charts
3. Fact-Check	The ONE report from Step 2	`docs/fact_check_report.md`, `docs/{topic}_report_verified.md`	Verify the Step 2 report, cross-check sources, NO chart generation
4. Formatting	The VERIFIED report from Step 3	`docs/{topic}_report.docx`, `docs/{topic}_report.pdf`	Write DOCX with embedded charts → convert to PDF

语言规范（Language Rules）

必须遵循用户指定的语言进行输出：

检测用户语言：识别用户提问所使用的语言
遵循用户指令：如果用户在指令中明确要求使用某种语言撰写报告，必须严格遵循
默认匹配原则：如果用户未明确指定，则使用与用户提问相同的语言撰写报告

示例：

用户用中文提问 → 报告使用中文撰写
用户用英文提问 → 报告使用英文撰写
用户说"请用英文撰写报告" → 无论用户用什么语言提问，报告必须使用英文
用户说"Please write the report in Chinese" → 报告必须使用中文

Ensure the language requirement is applied consistently across ALL phases of the workflow (research, writing, fact-checking, formatting).

Common Mistakes to Avoid

❌ Skipping the research phase and writing directly from user query
❌ Outputting report content in conversation instead of files
❌ Skipping fact-checking phase
❌ Delivering only Markdown without DOCX/PDF
❌ Generating charts in any step other than Step 2
❌ Using generic/default matplotlib colors without considering brand context
❌ Generating DOCX without embedding charts
❌ Converting to PDF before verifying charts are embedded in DOCX
❌ Citing Wikipedia as a source
❌ Using placeholder URLs or source names without links
❌ Adding annotations/editor's notes in the verified report instead of direct corrections
❌ Reading only some research files and ignoring others in Step 2
❌ Treating any request as a "simple query" that can bypass the workflow
❌ Fabricating or estimating data without clear labeling
❌ Creating visual disconnect between chart colors and DOCX theme colors

Yq Industry Research Report

Install

Industry Research Report Writer

Overview

⚠️ CRITICAL: Document Reading Rules

🚨 NO "SIMPLE QUERY" EXCEPTION

Workflow

Step 1: Research Phase

1.1 Current Date Awareness

1.2 Multilingual Search Strategy

1.3 Scope Definition

1.4 Data Collection

1.5 Source Documentation

1.6 Research Output Files

1.7 Research Standards

Step 2: Report Writing Phase (Synthesis + Chart Generation)

2.1 Input Requirements

2.2 Report Writing

2.3 Chart Generation (ONLY in this step)

2.4 Mandatory Conceptual Visualizations

2.5 Report Output

Step 3: Fact-Checking Phase

3.1 Input

3.2 Data Extraction

3.3 Verification

3.4 Verification Standards by Source Tier

3.5 Output

Step 4: Document Formatting Phase (DOCX + PDF)

4.1 Input

4.2 Write Professional DOCX

4.3 DOCX Styling — Color Harmony with Charts

4.4 Convert DOCX to PDF

4.5 Output

Report Structure by Research Type

Type A: Company-Focused Research

Type B: Industry/Sector Research

Type C: Comparative Analysis

Report Core Components (Required in All Types)

Trusted Source Standards

Tier 1: Official & Regulatory Sources (Highest Trust)

Tier 2: Financial Data Providers

Tier 3: Research & Analysis

Tier 4: Industry & Trade Sources

Tier 5: News & Media (Verify with Higher Tiers)

Sources Section Format

Quality Standards

File & Output Conventions

Directory Structure

Document Flow Summary

语言规范（Language Rules）

Common Mistakes to Avoid

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