Results for “code-review”

Visually inspect websites to identify and fix design issues including layout, responsive, accessibility, and visual consistency problems at the source code level.

Write, review, refactor, and optimize Slang shader code for graphics, compute, tessellation, and ray tracing pipelines with cross-compilation support.

Manage software complexity through deep modules, information hiding, and strategic programming, with a scoring framework for evaluating design quality.

Identifies security vulnerabilities, generates structured audit reports with severity ratings, and provides actionable remediation guidance for code, infrastructure, and cloud environments.

Enforces language-specific coding rules, style guidelines, patterns, security, and testing standards by referencing a built-in guidelines bank.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

Audit datasets for structure, missingness, labeling, suspicious values, duplicate identifiers, and documentation readiness. Use when a researcher asks for data QA, codebook review, sanity checks, or pre-analysis cleanup guidance.

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into `${CODEX_HOME:-$HOME/.codex}/pets/<name>/` and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as `runcomfy run openai/gpt-image-2/edit` to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no `$imagegen`, no OPENAI_API_KEY required, only RUNCOMFY_TOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into `${CODEX_HOME:-$HOME/.codex}/pets/<name>/` and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as `runcomfy run openai/gpt-image-2/edit` to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no `$imagegen`, no OPENAI_API_KEY required, only RUNCOMFY_TOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

Write, review, and migrate code using NVIDIA DALI's imperative dynamic-mode API for efficient data loading and preprocessing.

Audits all Claude skills and commands using a quality checklist and AI holistic judgment, with Quick Scan and Full Stocktake modes.

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

React and Next.js performance optimization from Vercel Engineering. Use when building React components, optimizing performance, eliminating waterfalls, reducing bundle size, reviewing code for performance issues, or implementing server/client-side optimizations.

Runs a budget-aware agent-assisted engineering health audit for instruction/config drift, hooks/MCP, verifier surfaces, and AI maintainability. Use when users ask in any language to audit Claude, Codex, Pi, agent instructions, MCP or hooks, verifier coverage, or AI-maintainability drift. Not for debugging application code or reviewing PRs.

Manage, inventory, standardize, migrate, and test reusable Codex skills for the MetaSkill repository. Use when Codex needs to inspect local skills, convert a personal workflow into a public skill candidate, normalize skill folder shape, plan skill promotion, or decide whether a skill belongs in skill-management, publication-review, or skill-examples.

Grades individual test methods and produces a compact markdown table with a letter grade, score band, and one-line note for each test.

Delegates a bounded repository task to an allowlisted external coding CLI through a guarded runner, with provider selection, timeout handling, and independent local review.

Explains MariaDB Connector/ODBC-specific behavior for application code, including DSN-less connection strings, positional parameter markers, prepared statement execution modes, autocommit defaults, TLS auto-enablement, and error handling. Use when writing or reviewing ODBC-based code (C/C++ or pyodbc) that talks to.

Audits and enforces web interface standards covering accessibility, performance, UX, and code quality from Vercel Engineering's Web Interface Guidelines. Use this skill when reviewing UI code, checking accessibility compliance, auditing design implementations, running pre-merge frontend checks, or when someone asks to "review my UI", "check accessibility", "check my site", "audit design", or "is this component correct". Apply proactively when writing form elements, interactive components, images, animations, or anything that users directly touch — these guidelines prevent common mistakes before they reach production.

Drafts GitHub pull request titles, bodies, issue-closing footers, and maintainer ping comments, tailored to repo-specific commitlint or semantic PR conventions.

Orchestrates a strict four-stage shipping pipeline: session critique, validation, commit, and pull request, halting on failure. Supports a critique-only mode for mid-session quality checks.

Reference guide for evaluating LLM-generated translations between CUDA and OpenMP, covering memory model mapping, kernel launch patterns, shared memory, atomics, and common failure modes.

Enforces OWASP Top 10:2025 compliance on code touching security-relevant domains, using cached cheat sheets and verifying fixes against OSV.dev.

Realize análises de código seguindo as práticas de engenharia da Sentry. Use ao revisar pull requests, examinar alterações de código ou fornecer feedback sobre qualidade de código. Abrange segurança, performance, testes e revisão de design.

This skill should be used when the user asks to "validate plugin structure", "review manifest files", "check frontmatter compliance", "verify tool invocation patterns", "explain plugin component types", or needs Claude Code plugin architectural guidance.

Agent profile for analyze target users, workflows, usability risks, research questions, and evidence gaps. Use when Codex needs a specialist agent perspective for planning, implementation, review, debugging, validation, or handoff in this domain.

REST API design — resource naming, HTTP methods, status codes, pagination, versioning, OpenAPI. Use when designing a new REST API, reviewing API contracts, writing OpenAPI/Swagger documentation, or choosing pagination, versioning, or error-format strategies.

Capture structured feedback on the Han skills and agents used in the current session and optionally post it as a GitHub issue to testdouble/han. Use at the end of any session where one or more han-* skills or agents ran, to rate a run, log what worked and what didn't, or submit observations for maintainers. Does not review code, investigate bugs, or research options; use code-review, investigate, or research for those. Does not provide feedback on skills or agents from non-Han plugins.

Performs security audits, hardening, threat modeling (STRIDE/PASTA), red/blue team exercises, OWASP checks, code review, incident response, and infrastructure security for any project.

Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases, covering components, composables, and stores with behavior-first assertions.

Analyzes smart contract codebases against Trail of Bits' secure development guidelines, generating documentation, reviewing architecture and upgradeability patterns, assessing implementation quality, identifying pitfalls, and providing prioritized recommendations.

Prove a feature works by delegating verification to an independent sub-agent that drives the real app, then open a pull request with the proof.