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Found 1,226 Skills
Prepare a structured, scannable review checklist for a branch or diff, grouped by feature change and applying the four-pass review order (Types, Data Flow, Business Logic, Edge Cases) within each feature. Use when the user asks to "prep a review", "review order", or wants a checklist to manually walk through changes.
Feature-level UX audit for React/Next.js code. Catches what Lighthouse, axe, ESLint, and Storybook miss — state coverage gaps (missing loading/empty/error), form data loss on validation, broken focus management, optimistic UI without rollback, skeleton-induced layout shift, vague microcopy, and 25+ other modern frontend UX bugs. Diff-aware (audits changed files only) and produces a 3-tier ship-readiness verdict (release-blocker / fix-this-sprint / backlog) grouped by surface, with concrete fixes using modern React 19 APIs (useActionState, useFormStatus, useOptimistic, useTransition, Suspense). Use before merging a frontend PR, before shipping a feature, or when asked "is this checkout/onboarding/dashboard ready?", "review this PR for UX bugs", "audit this component", "what would break in production?", "is this ready to ship?"
Security-first skill vetting protocol for AI agents. Use before installing any skill from the platform skill market, skillhub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns to determine whether a skill is safe to install.
Use OpenAI Codex from inside Claude Code for code reviews, adversarial reviews, and delegating tasks to Codex as a subagent.
End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.
Deep Agents framework — architectural decisions (when to use Deep Agents vs alternatives, backend strategies, subagent design, middleware approaches) AND code review (bugs, anti-patterns, improvements when reviewing Deep Agents code). Use when working with Deep Agents — designing a new system or reviewing existing code.
Invoke when the user asks to review, check, audit, or look over Qt6 C++ code — or suggest before committing. Runs deterministic linting (60+ rules) then six parallel deep- analysis agents covering model contracts, ownership, threading, API correctness, error handling, and performance. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only — never modifies code.
Independently reviews findings and filters out false positives. Use when consolidated findings need validation against the actual source code. Don't use for reproducing crashes or patching code.
Execute a plan file or Beads epic systematically with git setup, task tracking, quality checks, and commit workflow. Use when implementing a plan, working through a spec, following documented steps, or executing a Beads issue ID (e.g., bd-123, gno-45, app-12).
Полный цикл разработки доработок 1С — от анализа до реализации с БСП compliance. 9 фаз: оценка, discovery, исследование, уточнение, проектирование, ревью плана, реализация, ревью кода, итоги.
Orchestrates a structured design review by running existing skills in a diagnostic funnel, from complexity triage through structural, interface, and surface checks to a full red-flags sweep. Use when reviewing a file, module or PR for overall design quality and you want a comprehensive, prioritized assessment rather than a single-lens check. Not for applying one specific lens (use that skill directly) or for evolutionary analysis of how code changed over time (use code-evolution).
Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees