Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
Tearsheet Generator
Generate professional tearsheets with custom SVG visualizations using the QuantStats library. Creates performance reports with MAE analysis, leverage recomme...
skill openclawclawhub Free
Generate professional tearsheets with custom SVG visualizations using the QuantStats library. Creates performance reports with MAE analysis, leverage recomme...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, commands/generate-tearsheet.md, commands/verify-backtest.md, commands/verify-mae-lev.md, references/html_templates.md, references/index.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- ahuserious
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
About
This skill generates custom tearsheets using the QuantStats library - a Python library for portfolio analytics. Key Features: Custom SVG visualizations (returns, drawdowns, monthly heatmaps) Professional HTML tearsheets MAE (Maximum Adverse Excursion) analysis Leverage recommendations based on risk metrics Copyable strategy configurations Generate comprehensive trading strategy tearsheets with: IBM Plex Mono font styling (QuantStats format) MAE (Max Adverse Excursion) percentile analysis (p90-p99) Optimal leverage recommendations with stop-loss levels Fixed Position (Static) vs Full Position (Dynamic) analysis 10%, 20%, 30% liquidation buffer calculations Full trade list with entry/exit details and MAE stats Copyable strategy config text boxes Multiple leverage scenario comparisons (1x, 10x, 15x, 20x)
Quick Start
# Generate tearsheet from trades CSV /generate-tearsheet SOL_MTF_EMA_001 --trades ./trades.csv --capital 10000 # Verify backtest with Nautilus Trader /verify-backtest SOL_MTF_EMA_001 --trades ./trades.csv # Test optimal leverage configuration /verify-mae-lev SOL_MTF_EMA_001 --leverage p95
/generate-tearsheet
Generate a complete tearsheet with all analysis sections.
/verify-backtest
Verify tearsheet results against Nautilus Trader for accuracy validation.
/verify-mae-lev
Run backtest with optimal leverage config derived from MAE analysis.
Output Files
Each tearsheet generation produces: {strategy}_comparison.html - Full HTML tearsheet {strategy}_comparison_metrics.json - JSON metrics for programmatic access
1. Key Performance Metrics
B&H, Fix1x, Dyn1x, Fix10x, Dyn10x columns Cumulative Return, CAGR, Sharpe, Sortino, Max DD, Calmar Intratrade risk metrics with liquidation distance
2. MAE Analysis & Optimal Leverage
MAE distribution table (min, mean, p50, p75, p90-p99, max) Safe leverage recommendations per percentile Stop loss table with % PRICE movement (not position cost)
3. Fixed Position (Static) Analysis
Leverage table: 5x, 10x, 15x, 20x, 25x, 30x Columns: Liq @ %Price, Rec. SL, Max Loss, +10% Buffer, +20% Buffer, Risk Level
4. Full Position (Dynamic) Analysis
Warning about compounding risk Leverage table: 1x, 2x, 3x, 5x, 10x Recommendation per leverage level
5. Buffer Analysis Summary
+10%, +20%, +30% buffers above worst MAE Safety check for 10x, 15x, 20x leverage
6. Full Trade List
All trades with entry/exit times, prices, side, PnL, MAE, MFE, duration Scrollable table with sticky headers Summary row with averages
7. Strategy Configuration
Original config text box (copyable JSON) MAE-optimized config text box (copyable JSON) Backtest methodology description
Dependencies
Python 3.10+ pandas, numpy, matplotlib StrategyComparisonTearsheet from backtesting.tearsheets
Installation
The skill uses the tearsheet generator at: /Users/DanBot/Desktop/dev/Backtests/backtesting/tearsheets/strategy_comparison_tearsheet.py Ensure this path is accessible or update the script paths accordingly.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- commands/generate-tearsheet.md
- commands/verify-backtest.md
- commands/verify-mae-lev.md
- references/html_templates.md
- references/index.md