Ask clarifying questions and get approval before implementation.

Best practices for handling data with Lindy AI. Use when managing sensitive data, implementing data privacy, or ensuring data compliance. Trigger with phrases like "lindy data", "lindy privacy", "lindy PII", "lindy data handling", "lindy GDPR".

Autonomous RLHF feedback capture - Claude self-captures mistakes and successes

Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).

Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.

Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.

**Activation**: `/rollback` or `/rollback <phase>`

Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly, and establishes productive working relationships from the first interaction.

Implement monitoring, logging, and observability for Clerk authentication. Use when setting up monitoring, debugging auth issues in production, or implementing audit logging. Trigger with phrases like "clerk monitoring", "clerk logging", "clerk observability", "clerk metrics", "clerk audit log".

Quick-start command to run SWE-bench Lite evaluation with sensible defaults.

Generate and validate mcpbr configuration files for MCP server benchmarking.

Run an MCP evaluation using mcpbr on SWE-bench or other datasets.

Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.

Structured code review criteria for pre-implementation plan review (Critic) and post-implementation security/quality review. Covers security, performance, maintainability, and correctness with severity ratings.

Pflege das Parsing von Job Descriptions (JD); verwenden bei neuen Feldern, Headern oder Parsing-Regeln.

Creates, analyzes, updates, and improves Claude Code agent skills including YAML frontmatter, allowed-tools field, progressive disclosure, and skill authoring workflows. Use when user asks how skills work, what agent skills are, explaining skill concepts, understanding SKILL.md structure, describing .md files organization, skill authoring process, asked to create a new skill, evaluate existing skills for improvements, optimize skills for AI/Claude effectiveness, suggest converting current logic into a skill, update outdated skill information, or when user mentions skill validation, best practices, supporting files, skill security, API integration, or technical architecture.

Build and deploy this Next.js LangChain retrieval agent application with Supabase vector store. Use when building, deploying, setting up vector store, or preparing the project for production.

Capture and automate macOS UI with the Peekaboo CLI.

jp-uiのFoundation（色/タイポ/アイコン/形状/影）を参照して実装するためのスキル。Foundationトークンや関連ファイルが更新されたらこのスキルも更新する。

Generates FPF-compliant Agent Skills from the FPF Specification (Strict E.8 format).