发现 content media llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Setup Sentry AI Agent Monitoring in any project. Use this when asked to add AI monitoring, track LLM calls, monitor AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Automatically dete...
系统化降低AI检测率至30%以下，通过三遍审校流程（内容、风格、细节）增加人味。当用户提到"AI味太重"、"像AI写的"、"降低AI检测率"、"更像人写的"、"自然一些"、"口语化"时使用此技能。
自动识别prompt类型并保存到相应分类（技术/内容/教学/产品/通用），支持自动文件命名和索引管理。当用户提到"保存prompt"、"记录prompt"、"管理prompt"、"整理prompt"、"prompt库"时使用此技能。
Agentic orchestration patterns for long-running tasks. Implements evidence-based delivery and Simon Willison's agent loop. Use when managing multi-step work, coordinating subagents, or orchestrating PR workflow...
Apple-authored SwiftUI and platform guidance extracted from Xcode. Helps AI agents write idiomatic, Apple-native SwiftUI with reduced hallucinations.
Create and manage Agent Skills following the agentskills.io specification. Use when users want to create, validate, or modify skills for AI agents.
Create and configure custom OpenCode agents (primary and subagents) with specialized prompts, tools, permissions, and models. Use when the user wants to create, modify, or configure OpenCode agents, or mentions...
Use when coordinating multiple AI agents in real-time - provides inter-agent messaging via Rust PTY wrapper with file-based protocol and reliability features
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, and folders.
Functional mythological compression for OCTAVE documents. Semantic shorthand for LLM audiences, not prose decoration
Meta-skill for creating and integrating new best practices (skills, agents, MCP servers) into the SLIM marketplace with dependency tracking and automated registry updates. Use when users want to create custom s...
Generate comprehensive executive summaries from workspace communication files using AI analysis with automatic context discovery
Guide for using the AI's persistent journal database
Guide for generating and editing images using generative AI with the nanobanana CLI
Guide for recording significant architectural and design decisions in docs/decisions.md. Use this skill when clearly significant architectural decisions are made (database choices, frameworks, core design patte...
Review generated tasks for quality and completeness. Called by /breakdown skill after task generation.
Break down a PRD or CRD into self-contained implementation tasks for LLM execution. Use when you have a PRD/CRD file and want to generate executable task files for autonomous implementation.
Create event-driven hooks for Claude Code automation. Configure PreToolUse, PostToolUse, Stop, and other hook events with bash scripts, environment variables, matchers, and exit codes.
Configure and build Model Context Protocol (MCP) servers for Claude Code integration. Set up database, filesystem, git, and API connections. Build custom MCP servers with TypeScript/Python SDK, implement tools...
Operational prompt engineering patterns, templates, and validation flows for Claude Code.
QA harness for agentic systems: scenario suites, determinism controls, tool sandboxing, scoring rubrics, and regression protocols covering success, safety, latency, and cost.
Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation...
Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations...
Master orchestration for routing technical problems through 33 engineering skills - AI/ML, software development, data, APIs, and Claude Code framework
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。