regex-tester
Test, debug, and explain regular expressions. Visualize matches, generate patterns from examples, and convert between regex flavors.
Test, debug, and explain regular expressions. Visualize matches, generate patterns from examples, and convert between regex flavors.
Debugging, prototyping, and learning mode. Use when investigating bugs, exploring APIs, or spiking solutions before committing to TDD implementation.
Fix build issues for matched functions in the Melee decompilation project. Use this skill when builds are failing due to header mismatches, signature issues, or caller updates needed after a function has been matched. Invoked with /decomp-fixup [function_name] or automatically when diagnosing build failures.
MANDATORY systematic debugging - trace to root cause before proposing fixes. NO random changes, NO symptom fixes, NO "try this". Use when debugging ANY error or issue.
Fetch Vela crash information from Jira issues, extract crash platform links from comments, download ELF/coredump/log files using playwright browser automation, and organize files for GDB debugging. Supports multiple cores (ap, cp, sensor, audio) and auto-detects latest crash from tool comments.
Discover Java API signatures from compiled JARs using javap instead of guessing or relying on incomplete documentation. Use when encountering unknown methods, pagination patterns, union types, or compilation errors from incorrect API assumptions.
JavaScript coding standards and best practices for JavaScript and TypeScript. Use when writing or reviewing JavaScript code, working with promises, or discussing JavaScript patterns.
Expert knowledge of Godot performance optimization, profiling, bottleneck identification, and optimization techniques. Use when helping improve game performance or analyzing performance issues.
Queries GPT-5.2 for high-reasoning code analysis, root-cause bug fixing, and complex coding questions. Provides P0-P3 prioritized analysis reports, architecture audits, and security reviews with configurable reasoning effort (none/low/medium/high/xhigh). 400K context, 128K output.
Generates professional performance analysis reports from SDL3 HammerEngine benchmark results including statistical analysis, comparison tables, visualizations, and recommendations. Use when preparing performance documentation, analyzing optimization efforts, or generating milestone/release reports.
Comprehensive application audit. Analyzes best practices, security compliance, frontend design quality. Identifies top improvements and critical errors. Produces scores for design, code quality, and security.
Detects project tech stack, languages, frameworks, and security-relevant features. Use when you need to understand the project structure for security analysis or audit scoping.
Observability visualization with Grafana and the LGTM stack (Loki, Grafana, Tempo, Mimir). Use when implementing dashboards, log aggregation, distributed tracing, or metrics visualization. Triggers: grafana, loki, tempo, mimir, dashboard, logql, traceql, observability stack, LGTM.
Analyzes JavaScript bundle sizes, identifies large dependencies, and suggests optimizations for webpack, vite, rollup. Use when user asks to "analyze bundle", "optimize bundle size", "reduce bundle", "webpack analysis", or "tree shaking".
Analyze Mixpanel analytics data using the mixpanel_data Python library or mp CLI. Use when working with Mixpanel event data, user profiles, funnels, retention, cohorts, segmentation queries, JQL scripts, or SQL analysis on local DuckDB. Triggers on mentions of Mixpanel, event analytics, funnel analysis, retention curves, user behavior tracking, JQL queries, filter expressions, 'fetch data from Mixpanel', 'query Mixpanel with SQL', 'run DuckDB queries on events', 'analyze user behavior', 'export Mixpanel data', 'mp command', or requests to work with analytics pipelines. Supports filter expressions for WHERE/ON clauses, JQL (JavaScript Query Language) for complex transformations, Python scripts with pandas integration, and CLI pipelines with jq/Unix tools.
Automatically fix SQL performance issues with step-by-step measurement. Rewrites problematic SQL patterns (functions on columns, implicit conversions), creates indexes, measures their impact, and rolls back ineffective indexes. Reports improvements at each step with cost reduction percentages.
Automated data quality reports with comprehensive variable analysis, missing value detection, correlations, and HTML report generation - formerly pandas-profiling
Analyzes and optimizes SQL queries for better performance, including index design and query rewriting. Trigger keywords: sql, query optimization, slow query, index, explain, performance, database tuning.
Generate minimal HTML pages to review Claude Code output in a browser. Use when terminal output is hard to read, when reviewing lists/tables/drafts, or when user says "show me", "make this reviewable", "quick view", or "open as webpage". Produces unstyled semantic HTML only.