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SkillsMP hat 60 Skills aus nguyenthienthanh/aura-frog gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 40 von 60 gesammelten Skills angezeigt.
Vision feedback loop for UI — render the running UI, screenshot it across viewports + dark mode, run deterministic gates then a multimodal critique against the design system, and iterate until it passes. Use after building or changing a UI component/page,…
Quellsprache: Englisch
UI/UX design expertise — component design, design system selection, responsive layout. Includes auto-detection from package.json and Context7 integration for library docs.
Quellsprache: Englisch
Generate a cohesive color-token system from ONE OKLCH brand hue — primary/secondary/background/foreground/muted/border with semantic light + dark, emitted as a Tailwind v4 @theme block or a CSS-variables fallback. Use when starting a design system, defining…
Quellsprache: Englisch
Anti-AI-slop taste layer for UI output — distinctive typography, dominant+accent color hierarchy, and implementation-matched polish. Use when building or restyling a UI/landing/component that should look designed rather than defaulted, or when the user asks…
Quellsprache: Englisch
Generate UI designs using Google Stitch AI with optimized prompts
Quellsprache: Englisch
Execute 5-phase TDD workflow for complex features. Use when the user invokes /run, asks to build/create/implement a feature, requests a complex multi-file change, or types 'fasttrack:'. Enforces phase gates, sprint contracts, and builder!=reviewer discipline.
Quellsprache: Englisch
Restrained, accessible web motion — Framer Motion declarative patterns and CSS-only staggered reveals for high-impact moments, always bundle-aware and reduced-motion-safe. Use when adding animation/transitions to a UI (entrance reveals, list stagger,…
Quellsprache: Englisch
CRITICAL: MUST run for EVERY message. Detects agent, complexity, AND model automatically. Without this, tasks route to wrong agents and use wrong models, degrading quality and wasting tokens.
Quellsprache: Englisch
5 techniques for different problem types. Use when stuck or facing complex challenges.
Quellsprache: Englisch
Structured thinking process for complex analysis. Supports revision, branching, and dynamic adjustment.
Quellsprache: Englisch
Angular 17+ gotchas and decision criteria. Covers signals vs observables, standalone patterns, and common pitfalls Claude gets wrong.
Quellsprache: Englisch
Designs RESTful APIs with endpoint naming, versioning strategies (URL path, header-based), pagination (offset and cursor), error response schemas, and OpenAPI conventions. Use when the user asks about REST API design, creating endpoints, URL structure, API…
Quellsprache: Englisch
Fast bug fixes with root cause investigation + TDD. Enforces 'no fix without root cause' discipline and verification protocol. Without this skill, fixes are applied at symptoms instead of sources, and bugs return.
Quellsprache: Englisch
Draft → generate verification questions → answer independently via tools → revise. Catches hallucinated facts in reports and reviews. MANDATORY for Phase 4 security/test claims. Paper: Dhuliawala et al. 2023.
Quellsprache: Englisch
6-aspect structured code review (security, architecture, error handling, test gaps, type safety, simplification) with calibrated scoring and per-aspect breakdown. Use when the user asks to review code, check a PR, review a pull request, audit changes before…
Quellsprache: Englisch
Detect and simplify overly complex code. Apply KISS principle - less is more.
Quellsprache: Englisch
L1-L4 conflict detection between a proposed T4 task and pending-confirm sibling tasks. L1 (file overlap) + L2 (function/region overlap) ship in v3.7.0-beta.2 as deterministic bash. L3 (semantic LLM) + L4 (architectural LLM) are stubbed for v3.7.0-rc.1.
Quellsprache: Englisch
Systematic debugging protocol for bugs that resist quick fixes. Use bisection, hypothesis trees, and scientific method when a bug isn't obvious from the stack trace. Goes beyond bugfix-quick for production-grade root cause analysis.
Quellsprache: Englisch
Create Architecture Decision Records (ADRs) and Runbooks for operational documentation.
Quellsprache: Englisch
Detects when a new project-level skill / rule / command would reduce friction. Asks the user for confirmation before creating anything. NEVER writes plugin-level files — only `.claude/skills/`, `.claude/rules/`, `.claude/commands/` in the user's project.
Quellsprache: Englisch
Classifies execution failures into F1-F5 (transient/local-logic/local-design/story-level/architectural). Outputs JSON with class, confidence, evidence, and recommended action. Deterministic rule-based classifier; no LLM call.
Quellsprache: Englisch
Flutter/Dart gotchas and decision criteria. Covers Riverpod vs BLoC, widget optimization, and platform-specific pitfalls.
Quellsprache: Englisch
Unified framework expertise bundle. Lazy-loads relevant framework patterns (React, Vue, Angular, Next.js, Node.js, Python, Laravel, Go, Flutter, Godot) based on detected tech stack.
Quellsprache: Englisch
Token-efficient git operations with security scanning and auto-split commits
Quellsprache: Englisch
Auto-create git worktrees for workflows. Isolate changes, merge on success, discard on failure.
Quellsprache: Englisch
Go gotchas and decision criteria. Covers error handling patterns, concurrency pitfalls, and interface design.
Quellsprache: Englisch
Laravel/PHP gotchas and decision criteria. Covers N+1 prevention, Eloquent traps, and migration safety.
Quellsprache: Englisch
Load agent definitions on-demand to reduce context usage. Only loads full agent when needed.
Quellsprache: Englisch
Analyze collected learning data from Supabase to identify success patterns, failure patterns, optimization opportunities, and agent performance trends.
Quellsprache: Englisch
On-demand audit of MCP usage. Reads .aura/security/mcp-audit.jsonl, surfaces blocked calls, rate-limit hits, suspicious input patterns. Companion to mcp-call-gate hook (which produces the audit log).
Quellsprache: Englisch
Guide safe database and code migrations with zero-downtime strategies.
Quellsprache: Englisch
Detect and navigate monorepos correctly. Use when working with repos containing multiple packages (pnpm/yarn/npm workspaces, Turborepo, Nx, Lerna). Ensures commands run in correct package scope, dependencies are routed properly, and cross-package changes are…
Quellsprache: Englisch
Next.js 14+ gotchas and decision criteria. Covers server/client boundary, caching strategy, and data fetching patterns Claude commonly gets wrong.
Quellsprache: Englisch
Node.js gotchas and decision criteria. Covers async pitfalls, Express/NestJS patterns, and common mistakes.
Quellsprache: Englisch
Systematic performance profiling and optimization. Use when performance issues are reported or suspected. Measure first, optimize second. Applies Pareto principle — find the 20% of code causing 80% of slowness, fix that, not the rest.
Quellsprache: Englisch
Identifies and resolves performance bottlenecks across frontend (Core Web Vitals, code splitting, lazy loading), backend (N+1 queries, async processing), and database (EXPLAIN ANALYZE, indexing strategies) layers. Use when the user reports slow code, latency…
Quellsprache: Englisch
Loads permanent_memory.md summary lines (≤120 always-loaded tokens, hard cap 200). Surfaces durable wisdom from past Epics into the current session. Silent if .claude/memory/ does not exist.
Quellsprache: Englisch
Ultra-compact Phase 1 requirements output. HARD CAP: 500 tokens.
Quellsprache: Englisch
Compresses a completed plan-tree branch into .claude/plans/archive/{NODE_ID}.summary.md. Removes the original node files (preserved by checkpoint history). Reduces always-loaded surface area as features ship.
Quellsprache: Englisch
Loads minimum hierarchical plan context (.claude/plans/) for current execution focus. Auto-invokes every session when plans exist. Stays under 800 always-loaded tokens regardless of plan tree size.
Quellsprache: Englisch