Optimize performance of the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration for AEM 6.5 / AMS workflows only, with AMS-specific baseline and runtime verification.

How humans and AI compose in content workflows. Where AI legitimately participates, where humans must own, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration, and the ethics of intellectually honest AI-assisted content production. Triggers on AI content workflow, AI-assisted writing, hybrid content production, AI in editorial, AI slop, AI disclosure, AI usage policy, AI content ethics, voice preservation with AI, team AI calibration. Also triggers when content feels generic despite quality tools, when team AI usage has drifted into inconsistency, or when a regulated or trust-sensitive context requires explicit AI policy.

Create a feature branch with sequential or timestamp numbering

Audit, document, or extend your design system. Use when checking for naming inconsistencies or hardcoded values across components, writing documentation for a component's variants, states, and accessibility notes, or designing a new pattern that fits the existing system.

Engages structured analysis to explore multiple perspectives and context dependencies before responding. Use when users ask confirmation-seeking questions, make leading statements, request binary choices, or when feeling inclined to quickly agree or disagree without thorough consideration.

Capture a completed Codex workflow as a reusable SKILL.md package by analyzing session context plus optional session-collector evidence, interviewing the user with structured prompts, and writing a validated skill artifact. Use when the user asks to skillify or operationalize a repeatable process.

Analyze and harden Codex skills and plugin packages for contract quality, eval coverage, and safety compliance. Use this skill when an existing package is approaching release and needs evidence-backed validation.

Route plugin-factory requests to the right lane. Use when plugin creation, building, installation, review, or routing is broad, mixed, or under-specified.

Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

Guide for AI agents to source electronic components using parts-mcp — tool sequencing, decision patterns, and multi-step workflows

Remove AI-generated code slop and clean up code style

Run Playwright smoke tests, debug failures, and verify fixes

Use when creating skills for Rust crates or std library documentation. Keywords: create rust skill, create crate skill, create std skill, 创建 rust skill, 创建 crate skill, 创建 std skill, 动态 rust skill, 动态 crate skill, skill for tokio, skill for serde, skill for axum, generate rust skill, rust 技能, crate 技能, 从文档创建skill, from docs create skill

CRITICAL: Use for smart pointers and resource management. Triggers: Box, Rc, Arc, Weak, RefCell, Cell, smart pointer, heap allocation, reference counting, RAII, Drop, should I use Box or Rc, when to use Arc vs Rc, 智能指针, 引用计数, 堆分配

Implement a new POSIX command as a builtin in the safe shell interpreter

Chief Product Officer expertise with proven frameworks and strategic guidance. Use when discussing product strategy, market analysis, competitive positioning, feature prioritization, or business models to apply expert CPO perspective.

Verify integration after parallel agent execution and generate report

Show Tech Spec details or update status through lifecycle

Scheduled function patterns for background tasks including interval scheduling, cron expressions, job monitoring, retry strategies, and best practices for long-running tasks