algo-builderBuild and test systematic daily-to-weekly trading algorithms through hypothesis, signal validation, backtesting, and strategy development steps.
Install via ClawdBot CLI:
clawdbot install tonbistudio/algo-builderGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.tonbistudio.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A hedge fund analyst uses the skill to systematically test alpha signals for a swing trading strategy in US equities, ensuring each signal meets IC and ICIR thresholds before constructing a portfolio. They follow the pipeline to avoid overfitting, documenting hypotheses and regime dependencies for compliance and team review.
A crypto trading firm develops a daily-frequency strategy for altcoins, leveraging the skill's guidance on higher IC thresholds in less efficient markets. They test signal decay and regime conditioning to adapt to volatile crypto cycles, structuring a systematic process from hypothesis to paper trading.
An independent trader uses the skill to validate a hypothesis about a market inefficiency in forex swing trading, starting with signal testing instead of backtesting to prevent false confidence. They apply IC stability checks and regime analysis to ensure robustness before live deployment.
An asset manager researches new factors for a systematic macro strategy, using the skill to isolate and test signals like value or momentum across multiple asset classes. They follow the ordered pipeline to document edge mechanisms and counterparty analysis for investment committee approval.
A company offers this skill as part of a cloud-based platform where users pay a subscription fee to access structured pipeline tools, signal testing libraries, and backtesting modules. Revenue comes from tiered plans based on data access and computational resources.
A consultancy uses the skill to provide bespoke services for clients building trading algorithms, charging project-based or hourly rates for hypothesis formulation, signal validation, and walk-forward testing. Revenue is generated through client engagements and ongoing support contracts.
An educational institution integrates the skill into courses on quantitative finance, offering certifications for mastering the algorithmic trading pipeline. Revenue comes from course enrollment fees, workshops, and selling supplementary materials like templates and datasets.
💬 Integration Tip
Integrate this skill with data providers for real-time signal testing and use version control to track hypothesis iterations and signal performance over time.
Scored Apr 19, 2026
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
This skill should be used ONLY when the user EXPLICITLY and UNAMBIGUOUSLY requests a Git repository commit-history analysis that produces aggregate collabora...
Spec-first, TDD, subagent-driven software development workflow. Use when: (1) building any new feature or app — triggers brainstorm → plan → subagent executi...
Best practices for Remotion - Video creation in React