code-profiler
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
Discover development debugging skills, compare source repositories and read the instructions for each workflow.
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
Test, debug, and explain regular expressions. Visualize matches, generate patterns from examples, and convert between regex flavors.
Systematically trace bugs backward through call stack to find original trigger
Test coverage analysis to ensure adequate testing, Storybook coverage, and test quality.
Security vulnerability analysis to detect hardcoded secrets, dangerous patterns, and unsafe code practices.
Comprehensive documentation generation through automated codebase analysis, pattern detection, and diagram creation.
Comprehensive static code analysis to enforce architectural patterns, conventions, and code quality standards.
Debugging compiler errors and tracing lifetimes.
Performs comprehensive code reviews focusing on correctness, maintainability, performance, security, and best practices. Trigger keywords: review, code review, PR review, pull request, check code, audit code, f...
Go language expertise for writing idiomatic, production-quality Go code. Use for Go development, concurrency patterns, error handling, testing, and module management. Triggers: go, golang, goroutine, channel, i...
Comprehensive logging and observability patterns for production systems including structured logging, distributed tracing, metrics collection, log aggregation, and alerting. Triggers for this skill - log, loggi...
Systematically diagnoses and resolves software bugs, test failures, data quality issues, and performance problems using various debugging techniques and tools. Trigger keywords: debug, bug, error, exception, cr...
Observability visualization with Grafana and LGTM stack. Dashboard design, panel configuration, alerting, variables/templating, and data sources. USE WHEN: Creating Grafana dashboards, configuring panels and v...
Performance testing and load testing expertise including k6, locust, JMeter, Gatling, artillery, API load testing, database query optimization, benchmarking strategies, profiling techniques, metrics analysis (p...
TypeScript language expertise for writing type-safe, production-quality TypeScript code. Use for TypeScript development, advanced type system features, strict mode, type-safe APIs, and modern frameworks. Trigge...
Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and...
Analyzes and optimizes SQL queries for better performance, including index design, query rewriting, execution plan analysis, and database tuning. Covers PostgreSQL-specific optimizations, N+1 prevention, CTE/wi...
Rust language expertise for writing safe, performant, production-quality Rust code. Primary language for the Loom project. Use for Rust development, ownership patterns, error handling, async/await, cargo manage...
Structured logging and analysis of execution failures to prevent recurrence.
Generates a 'Red Team' critique of recent code or plans to identify weak assumptions and edge cases.
Detect and prevent state-visibility violations across execution contexts within a single transaction.
Generate comprehensive workspace profile with git signals, build configs, and forensics completeness tracking. Foundation skill for all other workspace operations.
Test Effect concurrency primitives including PubSub, Deferred, Latch, Fiber coordination, SubscriptionRef, and Stream. Use this skill when testing concurrent effects, event-driven systems, or fiber coordination...
Review code using GPT-5.2 Pro via Claude Code's Chrome integration. Use when the user asks to review code with ChatGPT, use their ChatGPT Pro subscription, get GPT-5.2 Pro to review code, or wants a second opin...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.