Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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cinematic-composition
by 2799662352Use when framing a shot — placing the subject at a rule-of-thirds intersection, building foreground / midground / background layers, deploying leading lines, varying focal length wide → medium → close-up, and tuning negative space / look-space for tension vs calm — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
lighting-continuity
by 2799662352Use when locking key light direction (left / right / top / back), quality (hard / soft), and color temperature (golden hour 3000-4000K, overcast 5500-6500K, night blue ambient + warm practicals, neon mixed) across every panel in a scene; flag light-direction reversals and color-temperature jumps without time skip — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
audio-score-design
by 2799662352Use when designing audio, music, sound effects, or voice/dialogue for video storyboards, AI video generation pipelines, film scoring, or any project requiring per-shot synchronized sound design with three layers (score, SFX, voice). Triggers include "audio design", "film score", "sound design", "voice acting", "BGM", "soundtrack", "配乐", "音效", "配音", "声音设计".
storyboard-dialogue
by 2799662352Use when screenplay or script provides character names and dialogue that MUST be extracted verbatim — never fabricate lines, never guess names from visual style (台词 verbatim) — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
storyboard-dodge
by 2799662352Use when output text risks tripping content filters with explicit anatomical terms, action verbs (thrust/penetrate), graphic injury, or nudity — rewrite via contour/silhouette, force vectors (impact 200N, compression 3cm), pressure / velocity / amplitude, fabric silhouette, shallow DoF blur, or steam diffusion (规避审查) — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
storyboard-style
by 2799662352Use when a scene needs a hard palette decomposition — dominant [hex] + accent [hex] in ratio ≥ 7:3, light source typed as rim / fill / key with angle and intensity %, and shadow depth expressed as percentage of frame in shadow (配色 / 光源 / 阴影) — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
storyboard-dodge
by 2799662352Use when output text risks tripping content filters with explicit anatomical terms, action verbs (thrust/penetrate), graphic injury, or nudity — rewrite via contour/silhouette, force vectors (impact 200N, compression 3cm), pressure / velocity / amplitude, fabric silhouette, shallow DoF blur, or steam diffusion (规避审查) — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
storyboard-foreground-occlusion
by 2799662352用于通过前景遮挡去除 AI 画面的塑料感、真空感、壁纸感、证件照感,建立机位感、Z轴空间、偷窥感、空气透视和电影感。适用于 AI生图、图生视频、Midjourney、NanoBananaPro、Kling、Hailuo、Seedance、前景遮挡、物理遮挡、氛围遮挡、丁达尔效应、微尘、薄雾、景深、电影构图。
storyboard-creative-imagination
by 2799662352用于让 AI 图像/视频不再只追求真实和大片感,通过打破物理定律、让时间失控、把镜头变成角色来制造创意感和想象力。适用于 反重力、失重、瀑布倒流、巨物漂浮、时间异常、时空割裂、动作阻断、第一人称物体视角、极端低/高机位、创意视频、脑洞提示词。
storyboard-audio
by 2799662352Use when each shot needs a three-layer audio field — A1 Score (ref:Composer/Work + 乐器 + 力度 pp-ff + 速度 bpm + 张力值 0-10, derived via score_bpm = motion_freq × 60), A2 SFX (材质 + 动作 + 频率Hz + 衰减s + 空间定位), A3 Voice (基频Hz + 气声比% + 语速字/秒 + 混响 RT60) — banning emotion adjectives in favor of physical parameters (配乐 / 音效 / 配音) — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
shot-sequence-patterns
by 2799662352Use when picking the shot pattern that matches the scene's dramatic intent — Establishing (wide → medium → close-up → detail), Dialogue (two-shot → shot-reverse-shot → reaction → re-establish), Action (wide → medium action → close-up impact → wide aftermath), Emotional (medium → close-up → extreme close-up → release) — and labeling every transition ("cut to", "dolly in", "match cut", "time skip") — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
visual-continuity
by 2799662352Use when verifying that a scene's 2-3 dominant colors stay consistent, color temperature does not mix warm and cool, object-to-character scale holds (table at waist height stays at waist height, ≤20% drift), and architecture / environment landmarks keep their spatial relationships across panels — applies to image-generation models (Midjourney, DALL-E, FLUX, Stable Diffusion, Imagen, Ideogram, Recraft), video-generation models (Sora, Veo, Runway, Kling, Seedance, Hailuo, Higgsfield, Hunyuan), screenplays, scripts, storyboards, AI video, AI image, 提示词, 视频模型, 图像模型, 写剧本, 脚本, 分镜.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.