python-performance
Performance optimization, profiling, benchmarking, memory management
Discover data ai debugging skills, compare source repositories and read the instructions for each workflow.
Performance optimization, profiling, benchmarking, memory management
Analyze a Julia compiler PR for downstream impact, secondary effects, and changelog generation. Use when asked to analyze a PR number, when working with compiler_prs.json data, or when the user asks about Julia...
Performance analysis and profiling focused on bottlenecks, latency, and resource usage. Use when there is slowness, high resource consumption, or unmet performance targets.
Stream Devvit logs for an installed app (trigger phrases: "devvit logs", "stream logs", "check logs", "show logs"). Requires the user to provide the target subreddit.
Expert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available. Use for incident response, root cause analysis, produ...
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.
Expert-level frontend code review workflow focusing on maintainability, security, performance, and accessibility. Use when reviewing frontend diffs, PRs, components, SPAs, UI logic, or framework-specific code (...
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source o...
A disciplined GC analysis and tuning workflow for Java (G1/ZGC): symptoms triage, evidence capture (GC logs/JFR/heap), heap sizing, allocation hotspot reduction, and safe rollout. Use when GC pauses, OOMs, or s...
Mapping and understanding existing codebases
Ensure consistent code quality, style, and best practices for mobile apps. Use when writing code, reviewing PRs, or setting up linting.
Check code coverage using Codecov MCP server. Use when user asks to check coverage, find untested code, compare branch coverage, review PR coverage impact, or identify files needing tests. Triggers on phrases l...
Performance profiling principles. Measurement, analysis, and optimization techniques.
Use when reviewing UI code for accessibility, UX patterns, or design compliance. Use when you see missing ARIA labels, poor color contrast, inaccessible forms, small touch targets, or broken focus management.
Official coding standards and best practices derived from Xcode's internal AI chat templates.
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
Comprehensive framework for designing, auditing, and improving Web Design and UI/UX. Use this skill when the user asks to "design", "audit", "improve", or "review" the visual or experiential aspects of an appli...
Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST.
This skill provides guidance on using OpenAI's Codex CLI for detail-oriented code analysis. Use when the user explicitly invokes "/codex", asks to "use codex", "run codex", "have codex review", or when Claude d...
Compare screenshots and pixel diffs.
Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
Static analysis and security scanning using Semgrep, a fast, open-source static analysis tool for finding bugs and enforcing code standards. Use when scanning code for security vulnerabilities, code quality iss...
テストスイートの品質監査。Usefulness Score評価と削除候補特定。
Detect project tech stack, build tools, test frameworks, CI/CD, and code quality tools. Use when you need to know how to build, test, lint, or run a project.
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.