This skill enables specialized analysis of two complementary market breadth charts that provide strategic (medium to long-term) and tactical (short-term) market perspectives. Analyze breadth chart images to assess market health, identify trading signals based on backtested strategies, and develop positioning recommendations. All thinking and output are conducted exclusively in English.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbreadth-chart-analystExecute the skills CLI command in your project's root directory to begin installation:
Fetches breadth-chart-analyst from tradermonty/claude-trading-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate breadth-chart-analyst. Access via /breadth-chart-analyst in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
693
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
693
stars
This skill enables specialized analysis of two complementary market breadth charts that provide strategic (medium to long-term) and tactical (short-term) market perspectives. Analyze breadth chart images to assess market health, identify trading signals based on backtested strategies, and develop positioning recommendations. All thinking and output are conducted exclusively in English.
Use this skill when:
Do NOT use this skill when:
us-stock-analysis skill instead)sector-analyst skill instead)market-news-analyst skill instead)This skill generates markdown analysis reports saved to the reports/ directory:
breadth_200ma_analysis_[YYYY-MM-DD].mduptrend_ratio_analysis_[YYYY-MM-DD].mdbreadth_combined_analysis_[YYYY-MM-DD].mdReports include executive summaries, current readings, signal identification, scenario analysis with probabilities, and actionable positioning recommendations for different trader types.
Purpose: Medium to long-term strategic market positioning
Key Elements:
Backtested Strategy:
Purpose: Short-term tactical timing and swing trading
Key Elements:
Swing Trading Strategy:
CRITICAL: CSV data is the PRIMARY source for all Breadth values. This step MUST be executed BEFORE any image analysis.
python3 skills/breadth-chart-analyst/scripts/fetch_breadth_csv.py
Why CSV is PRIMARY:
Data Sources:
tradermonty.github.io/market-breadth-analysis/market_breadth_data.csv
tradermonty/uptrend-dashboard/data/uptrend_ratio_timeseries.csv
tradermonty/uptrend-dashboard/data/sector_summary.csv
Data Source Priority:
| Priority | Source | Use For | Reliability |
|---|---|---|---|
| 1 (PRIMARY) | CSV Data | All numerical values, dead cross status, color | HIGH |
| 2 (SUPPLEMENTARY) | Chart Image | Visual trend context, pattern confirmation | MEDIUM |
| 3 (DEPRECATED) | UNRELIABLE | ||
| 4 (LAST RESORT) | LOW |
Expected Output:
============================================================
Breadth Data (CSV) - 2026-02-13
============================================================
--- Market Breadth (S&P 500) ---
200-Day MA: 62.26% (healthy (>=60%))
8-Day MA: 67.56% (healthy_bullish (60-73%))
8MA vs 200MA: +5.30pt (8MA ABOVE -- NO dead cross)
Trend: UPTREND
--- Uptrend Ratio (All Markets) ---
Current: 33.03% GREEN (neutral_bullish)
10MA: 32.65%, Slope: +0.0055, Trend: UP
--- Sector Summary ---
...
============================================================
Validation: After running CSV fetch, verify:
When the user provides breadth chart images for analysis:
If NO chart images are provided: Skip Steps 1, 1.5, and image-based analysis. Use CSV data from Step 0 as the sole data source and proceed directly to the analysis and report generation steps.
Language Note: All subsequent thinking, analysis, and output will be in English.
CRITICAL: Use a two-stage analysis approach to prevent misreading historical data as current values.
First, analyze the FULL chart image to understand:
Then, extract and analyze the rightmost 25% of the chart to accurately determine CURRENT values.
Execute the Python script to extract the right edge:
python3 skills/breadth-chart-analyst/scripts/extract_chart_right_edge.py <image_path> --percent 25
| Stage | Purpose | What to Extract |
|---|---|---|
| Stage 1 (Full) | Historical context, trend cycles | Overall patterns, past troughs/peaks |
| Stage 2 (Right Edge) | Current values (CRITICAL) | 8MA value, 200MA value, current color, current slope |
Common Error This Prevents:
Before beginning analysis, read the comprehensive breadth chart methodology:
Read: references/breadth_chart_methodology.md
This reference contains detailed guidance on:
To understand the chart format and visual elements, review the sample charts included in this skill:
View: skills/breadth-chart-analyst/assets/SP500_Breadth_Index_200MA_8MA.jpeg
View: skills/breadth-chart-analyst/assets/US_Stock_Market_Uptrend_Ratio.jpeg
These samples demonstrate:
If Chart 1 is provided, conduct systematic analysis:
From the chart image, identify:
This step is MANDATORY to avoid misreading recent trend changes.
CRITICAL WARNING: Charts can be deceptive. The MAJORITY of analysis errors occur because the analyst:
BEFORE analyzing trend direction, FIRST confirm line colors:
Focus intensively on the rightmost 3-5 data points of the chart (most recent weeks):
For 8MA (Orange Line) - Analyze the very latest trajectory:
Critical Questions to Answer:
For 200MA (Green Line) - Analyze the very latest trajectory:
Failed Reversal Detection (CRITICAL): If an 8MA trough (purple ▼) was recently identified:
Example Analysis Format:
Latest 8MA Data Points (rightmost to left):
- Current (Week 0): 48%
- 1 week ago: 52%
- 2 weeks ago: 55%
- 3 weeks ago: 50%
Analysis: 8MA is FALLING. It rose from 50% to 55% (weeks 3-2), but has since declined to 48%.
This shows a failed reversal pattern - bounce was temporary, downtrend has resumed.
SLOPE: Falling (not rising!)
MANDATORY CROSS-CHECK (to catch misreadings): After determining the trend, ask yourself:
Look for and document:
Based on readings and patterns, classify the current market as:
Support the classification with specific evidence from the chart.
Apply the backtested strategy rules with STRICT confirmation requirements:
Check for BUY signal (ALL criteria must be met):
BUY Signal Status:
Check for SELL signal:
Current position determination:
Create 2-3 scenarios with probability estimates:
If Chart 2 is provided, conduct systematic analysis:
NOTE (Issue #7): This OpenCV detection step is DEPRECATED. Use CSV data from Step 0 as the PRIMARY source. The OpenCV script may be run for supplementary validation only, but CSV values take precedence in all cases.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Useful defaults in breadth-chart-analyst — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
breadth-chart-analyst fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added breadth-chart-analyst from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
breadth-chart-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.
breadth-chart-analyst is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for breadth-chart-analyst matched our evaluation — installs cleanly and behaves as described in the markdown.
breadth-chart-analyst has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: breadth-chart-analyst is the kind of skill you can hand to a new teammate without a long onboarding doc.
breadth-chart-analyst reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: breadth-chart-analyst is focused, and the summary matches what you get after install.
showing 1-10 of 43