Prompts
Prompt engineering and templates
Prompting
by danielmiessler
Meta-prompting system for dynamic prompt generation using templates, standards, and patterns. USE WHEN meta-prompting, template generation, prompt optimization, or programmatic prompt composition.
continuous-learning
by affaan-m
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
Agents
by danielmiessler
Dynamic agent composition and management system. USE WHEN user says create custom agents, spin up custom agents, specialized agents, OR asks for agent personalities, available traits, agent voices. Handles custom agent creation, personality assignment, voice mapping, and parallel agent orchestration.
smart-illustrator
by axtonliu
智能配图与 PPT 信息图生成器。支持三种模式：(1) 文章配图模式 - 分析文章内容，生成插图；(2) PPT/Slides 模式 - 生成批量信息图；(3) Cover 模式 - 生成封面图。所有模式默认生成图片，--prompt-only 只输出 prompt。支持 Bento Grid 功能展示图风格（--style bento）。触发词：配图、插图、PPT、slides、封面图、thumbnail、cover、bento grid、功能展示图、feature showcase。
workflow-guide
by Chachamaru127
"Cursor ↔ Claude Code 2-Agentワークフローのガイダンスを提供。Use when user asks about workflow, collaboration, or process. Do NOT load for: implementation work, workflow setup, or executing handoffs."
release-har
by Chachamaru127
"Universal release automation. CHANGELOG, commit, tag, GitHub Release supported. Use when user mentions release, version bump, create tag, publish release. Do NOT load for: harness release (use x-release-harness instead)."
cc-cursor-cc
by Chachamaru127
"Cursor PMでアイデアを検証し、Plans.mdを更新してバトンタッチ。2-Agentワークフロー対応。"
blueprint-init
by laurigates
"Initialize Blueprint Development structure in current project"
configure-slack
by Yeachan-Heo
Configure Slack incoming webhook notifications via natural language
skill-model-updater
by bitwize-music-studio
Updates model references across all skill files when new Claude models are released. Use when Anthropic releases new Claude models to keep skills current.
plugin-structure
by aiskillstore
This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.
skill-development
by aiskillstore
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
claude-opus-4-5-migration
by aiskillstore
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.
hook-development
by aiskillstore
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
chinese-novelist
by PenglongHuang
分章节创作引人入胜的中文小说。支持各种题材（悬疑/言情/奇幻/科幻/历史等），支持10-50章长篇创作，每章3000-5000字，结尾设置悬念钩子。强调深度润色去除AI痕迹，确保文字自然流畅。 当用户要求：写小说、创作故事、分章节写作、连续剧情、章节悬念、长篇小说时使用。
phoenix-cli
by Arize-ai
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
project-memory
by jamditis
Generate CLAUDE.md project memory files that transfer institutional knowledge, not obvious information. Use when setting up new journalism projects, onboarding collaborators, or documenting project-specific quirks. Includes templates for editorial tools, event websites, publications, research projects, content pipelines, and digital archives.
ai-product
by benjaminasterA
"Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt ..."
mcp:setup-serena-mcp
by NeoLabHQ
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
PAIUpgrade
by danielmiessler
Extract system improvements from content AND monitor external sources (Anthropic ecosystem, YouTube). USE WHEN upgrade, improve system, system upgrade, analyze for improvements, check Anthropic, Anthropic changes, new Claude features, check YouTube, new videos. SkillSearch('upgrade') for docs.
Evals
by danielmiessler
Agent evaluation framework based on Anthropic's best practices. USE WHEN eval, evaluate, test agent, benchmark, verify behavior, regression test, capability test. Includes three grader types (code-based, model-based, human), transcript capture, pass@k/pass^k metrics, and ALGORITHM integration.
call-mcp-tool
by openakita
Call MCP server tool for extended capabilities. Check 'MCP Servers' section in system prompt for available servers and tools. When you need to use external service or access specialized functionality.
creative-toolkit
by jau123
Generate images from text with multi-provider routing — supports Nanobanana Pro, GPT Image, Seedream, and local ComfyUI workflows. Includes 1,300+ curated prompts and style-aware prompt enhancement. Use when users want to create images, design assets, enhance prompts, or manage AI art workflows.
tensorrt-llm
by davila7
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.