engineering-advanced-skills

This skill empowers Claude to perform feature engineering tasks for machine learning. It creates, selects, and transforms features to improve model performance. Use this skill when the user requests feature creation, feature selection, feature transformation, or any request that involves improving the features used in a machine learning model. Trigger terms include "feature engineering", "feature selection", "feature transformation", "create features", "select features", "transform features", "improve model performance", and similar phrases related to feature manipulation.

Feature Engineering Helper - Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category.

Apply advanced debugging techniques for hard-to-diagnose Exa issues. Use when standard troubleshooting fails, investigating latency spikes, or preparing evidence bundles for Exa support escalation. Trigger with phrases like "exa hard bug", "exa mystery error", "exa deep debug", "difficult exa issue", "exa latency spike".

Apply Customer.io advanced debugging and incident response. Use when diagnosing complex delivery issues, investigating campaign failures, or running incident playbooks. Trigger: "debug customer.io", "customer.io investigation", "customer.io troubleshoot", "customer.io incident", "customer.io not delivering".

Advanced Cursor Composer techniques: agent mode, parallel agents, complex refactoring, and multi-step orchestration. Triggers on "advanced composer", "composer patterns", "multi-file generation", "composer refactoring", "agent mode", "parallel agents".

Deep-debug complex Clay enrichment failures, provider degradation, and data flow issues. Use when standard troubleshooting fails, investigating intermittent enrichment failures, or preparing detailed evidence for Clay support escalation. Trigger with phrases like "clay hard bug", "clay mystery error", "clay impossible to debug", "difficult clay issue", "clay deep debug".

Debug complex Claude issues — inconsistent outputs, tool use failures, Use when working with advanced-troubleshooting patterns. streaming problems, and edge cases. Trigger with "claude inconsistent", "anthropic advanced debug", "claude tool use broken", "anthropic streaming issues".

This skill enables Claude to design and execute chaos engineering experiments to test system resilience. It is used when the user requests help with failure injection, latency simulation, resource exhaustion testing, or resilience validation. The skill is triggered by discussions of chaos experiments (GameDays), failure injection strategies, resilience testing, and validation of recovery mechanisms like circuit breakers and retry logic. It leverages tools like Chaos Mesh, Gremlin, Toxiproxy, and AWS FIS to simulate real-world failures and assess system behavior.

Apply Canva Connect API advanced debugging for hard-to-diagnose issues. Use when standard troubleshooting fails, investigating intermittent failures, or preparing evidence bundles for Canva developer support. Trigger with phrases like "canva hard bug", "canva mystery error", "canva impossible to debug", "difficult canva issue", "canva deep debug".

Debug complex Claude API issues including context window overflow, tool use failures, streaming corruption, and response quality problems. Trigger with phrases like "anthropic advanced debug", "claude complex issue", "claude tool use failing", "claude context overflow".

Apply advanced debugging techniques for Adobe API issues: IMS token introspection, Firefly job failure analysis, PDF Services error codes, and network-layer diagnostics for Adobe endpoints. Trigger with phrases like "adobe hard bug", "adobe mystery error", "adobe impossible to debug", "difficult adobe issue", "adobe deep debug".

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.