MCP CheckClaude skills for prompt engineering
100 public Claude skills touch on prompt engineering. These 50 are the closest fit, best-known sources first. Each links to its folder; copy it into ~/.claude/skills/ to use it.
prompt engineering patterns
This skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to…
wshobson/agents★ 42kMITFolder:
prompt-engineering-patternsai prompt engineering safety review
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies,…
github/awesome-copilot★ 41kMITFolder:
ai-prompt-engineering-safety-reviewprompt engineer
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy…
Jeffallan/claude-skills★ 12kMITFolder:
prompt-engineerprompt engineer toolkit
Prompt engineering frameworks for building, testing, versioning, and evaluating prompts: chain-of-thought, few-shot, regression testing, and rubrics. Use when designing production prompts, running A/B tests, or building prompt libraries.
borghei/Claude-Skills★ 1kLicence: see repoFolder:
prompt-engineer-toolkitsenior prompt engineer
Prompt engineering and LLM evaluation. Use when optimizing prompts, designing prompt templates, evaluating LLM outputs, building agentic systems, implementing RAG, creating few- shot examples, or designing structured-output workflows.
borghei/Claude-Skills★ 1kLicence: see repoFolder:
senior-prompt-engineerprompt engineering
ComfyUI prompt engineering knowledge covering CLIP text encoding syntax, weight modifiers, model-specific prompting strategies, and best practices
artokun/comfyui-mcp★ 879MITFolder:
prompt-engineeringai prompt engineering expert
Expert guide for Prompt Engineering, Chain-of-Thought, few-shot prompting, structured output, prompt injection defense, and automated AI evaluations & regression benchmarking (Promptfoo, DeepEval) / Panduan ahli rekayasa prompt dan evaluasi otomatis AI.
roedyrustam/vibes-plug★ 116MITFolder:
ai-prompt-engineering-expertsystem prompt creator
Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.). Use this skill whenever the user wants to create, write, build, design, draft, or improve a system prompt, system instructions, or custom instructions for…
tronghieu/agent-skills★ 90MITFolder:
system-prompt-creatortesting for system prompt leakage
Extract and defend system prompts plus embedded secrets and routing logic.
adriannoes/awesome-agentic-ai★ 89MITFolder:
testing-for-system-prompt-leakageimage prompt engineer
Use when writing, improving or debugging an image-generation prompt: \"write an image prompt\", \"Midjourney prompt\", \"DALL-E prompt\", \"Stable Diffusion prompt\", \"negative prompt\". Any generator (also Flux, Higgsfield, Leonardo, Ideogram):…
Tekkiiiii/the-agency★ 7No licence statedFolder:
image-prompt-engineeragent orchestration improve agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
sickn33/agentic-awesome-skills★ 49kMITFolder:
agent-orchestration-improve-agentarize prompt optimization
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize…
github/awesome-copilot★ 41kMITFolder:
arize-prompt-optimizationcortex prompt
Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria. Use when asked to "prompt engineering", "build a prompt", "write a system prompt", or "improve this prompt".
jeremylongshore/tons-of-skills-marketplace★ 2.9kMITFolder:
cortex-promptcortex integrate
Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".
jeremylongshore/tons-of-skills-marketplace★ 2.9kMITFolder:
cortex-integratecortex
ML/AI engineer — LLM integrations, prompt engineering, model pipelines, evals, RAG.
jeremylongshore/tons-of-skills-marketplace★ 2.9kMITFolder:
cortexmodel prompt pack
Use when asked to write prompts for image-to-3D or text-to-3D tools, generate 3D models of a topic's parts, plan the assets for a 3D explorer, or build a labelled parts list with sources. Produces prompts for image-to-3D tools, one per object, plus a parts…
mohitagw15856/pm-claude-skills★ 1.5kMITFolder:
model-prompt-packcontext engineering review
Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself. Use when asked to review a system prompt and context assembly, cut token usage without losing quality, debug an agent that…
mohitagw15856/pm-claude-skills★ 1.5kMITFolder:
context-engineering-reviewagent context audit
Audit a repo's agent context — CLAUDE.md files, codebase docs, skills, and tool/MCP designs — against Anthropic's Claude 5 context-engineering guidance ("unhobbling": Anthropic cut ~80% of Claude Code's system prompt with no eval loss). Finds…
AI-Builder-Club/skills★ 1.3kNo licence statedFolder:
agent-context-auditcontext audit
Audit an agent's context layout against the four places: system prompt, tools, history, tail. Use when the user asks to audit, review or fix their agent's context, prompt caching, token spend per turn, or CLAUDE.md / AGENTS.md layout. Read-only: reports…
undefined-ui/second-brain-os★ 1.2kMITFolder:
context-auditllm application dev
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.
MoizIbnYousaf/ai-agent-skills★ 1.2kMITFolder:
llm-application-devclaude authenticity
Detect whether an API endpoint is backed by genuine Claude (not a wrapper, proxy, or impersonator) using 9 weighted rule-based checks that mirror the claude-verify project. Also extracts injected system prompts from providers that override Claude's…
agentscope-ai/OpenJudge★ 983Apache-2.0Folder:
claude-authenticitymetric design
Use when the user has evaluation principles or a dataset but needs help choosing the right graders, designing evaluation metrics, creating LLM-as-judge prompts, combining multiple metrics into a composite score, or building an automated evaluation…
agentscope-ai/OpenJudge★ 983Apache-2.0Folder:
02-metric-designprompt regression
Use when the user has changed a prompt (system prompt, RAG template, agent instruction, etc.) and wants to know whether the candidate is better or worse than the baseline. Also use when the user mentions prompt A/B testing, prompt comparison, prompt…
agentscope-ai/OpenJudge★ 983Apache-2.0Folder:
06-prompt-regressionirac prompt stephane boghossian
Restructure any rough build, research, or legal-drafting request into an IRAC-shaped prompt — Issue, Rule, Analysis, Conclusion — optimized for a frontier model. It's the bar-exam framework, repurposed as prompt engineering. The skill leads with the issue…
lawve-ai/awesome-legal-skills★ 911Licence: see repoFolder:
irac-prompt-builder-stephane-boghossianpanel operations
On-demand procedures for the ComfyUI sidebar panel agent that are too long to sit in the system prompt. Read it when a task lands in one of these areas. subgraph boundary rails and blueprint reuse, merging or composing workflows across tabs, pinning your…
artokun/comfyui-mcp★ 879MITFolder:
panel-operationsai product
Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.
coco-research/coco★ 795Licence: see repoFolder:
ai-productexperiment loop
Autonomous experiment loop: hypothesize > modify > test > evaluate > keep/discard > repeat. Run N experiments automatically with measurable metrics. Works for performance optimization, A/B testing, prompt engineering, and any measurable improvement task.
vibeeval/vibecosystem★ 541MITFolder:
experiment-loopheygen video
Generate HeyGen presenter videos via the v3 Video Agent pipeline — handles Frame Check (aspect ratio correction), prompt engineering, avatar resolution, and voice selection. Required for any HeyGen video generation. Replaces deprecated endpoints with v3.…
heygen-com/skills★ 526MITFolder:
heygen-video003 skills inventory
Use when you need to generate a checklist document with Java system prompts from skills.xml, following the embedded section template and producing INVENTORY-SKILLS-JAVA.md. This should trigger for requests such as Create Java system prompts checklist;…
jabrena/plinth★ 456Apache-2.0Folder:
003-skills-inventoryAgent Development
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…
Microck/ordinary-claude-skills★ 408Licence: see repoFolder:
agent-identifiercontext tax audit
Inventory everything an agent injects into each request besides the user's message, such as system prompt, environment info, skill list, tool definitions, per-turn context blocks and reminders, and check necessity, frequency, precision, position and…
MiniMax-AI/mcode-stack★ 405MITFolder:
context-tax-auditchatbot
Use when a support or sales bot on a live website must behave: persona/system prompt, grounding so it cannot invent prices or policy, jailbreak and injection defense, the human handoff, launch metrics and kill switch. NOT the agent loop or RAG index under…
ericrisco/rsc-harness★ 388MITFolder:
chatbotprompt architect
Analyzes and improves prompts using 31 frameworks across 7 intent categories. Use when a user wants to improve, rewrite, structure, or engineer a prompt — including requests like "help me write a better prompt", "improve this prompt", "what framework…
ckelsoe/prompt-architect★ 327MITFolder:
prompt-architectai prompt regression testing
Prompt engineering regression test matrix register: baseline outputs, semantic drift thresholds, judge evaluations, and golden dataset.
lingxling/awesome-skills-cn★ 325MITFolder:
ai-prompt-regression-testinganthropic claude development
Expert guidance for Anthropic Claude API development including Messages API, tool use, prompt engineering, and building production applications with Claude models.
Mindrally/skills★ 288Apache-2.0Folder:
anthropic-claude-developmentbuilding agent systems
AI agent and LLM system engineering reference covering single-agent dev (ReAct, tool calling, plan-execute), multi-agent coordination (swarm, role decomposition, file locking), LLM security (prompt injection, jailbreak defense, output filtering), RAG…
telagod/code-abyss★ 244MITFolder:
building-agent-systemsAI Test Generation Patterns
Systematic patterns for prompting AI coding agents to generate high-quality tests including prompt engineering for test creation, coverage-driven generation, mutation-aware testing, and review checklists for AI-generated test code.
PramodDutta/qaskills★ 244MITFolder:
ai-test-generationGitHub Copilot Testing Patterns
Effective patterns for using GitHub Copilot to generate, refactor, and maintain test code including prompt engineering for test generation, Copilot Chat for debugging, inline suggestions for assertions, and workspace context optimization.
PramodDutta/qaskills★ 244MITFolder:
copilot-testing-patternspersona design
当需要为 AI 产品定义核心身份、角色声明和能力边界时调用此 skill。典型场景包括：设计新 AI 产品的 system prompt 首段、为不同场景创建差异化角色（如教学助手 vs 编程代理）、重新定义 AI 与用户的关系框架。 不适用于：纯人格风格调优（应使用 personality-system）、安全规则制定（应使用 safety-guardrails）、工具集成（应使用 tool-specification）。 关键 trigger 信号：产品需要 AI…
kangarooking/system-prompt-skills★ 214MITFolder:
persona-designfig draw
Plan, generate, inspect, and refine academic figures from repositories, papers, draft notes, paper URLs, PDFs, or reference images. Design evidence-grounded academic figures and construct, diagnose, or revise scientific image prompts, including semantic…
Azhi-ss/academic-figure-skills★ 178MITFolder:
fig-drawreviewing ai papers
Analyzes an AI/ML publication — paper, preprint, article, technical blog post — and extracts what an enterprise AI engineer should do about it. Use when someone supplies a URL or document on RAG, embeddings, fine-tuning, prompt engineering, agents, or LLM…
oaustegard/claude-skills★ 157MITFolder:
reviewing-ai-paperslintlang audit
Audit a named AI agent config, system prompt, tool definition, or instruction file (YAML, JSON, Markdown, text, or Python) with the released LintLang CLI in GitHub Copilot CLI. Use when the user asks to audit, lint, scan, or review such a file for…
hermes-labs-ai/lintlang★ 144Apache-2.0Folder:
lintlang-auditlintlang
Use when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions, schema/description mismatches, or embedded prompts before they reach runtime.…
hermes-labs-ai/lintlang★ 144Apache-2.0Folder:
lintlangwjs evaling voicedrop prompts
Use when 王建硕 wants to evaluate whether a change to VoiceDrop's 挖矿 system prompt is actually better than the live version — runs the local eval harness (golden fixtures × champion-vs-candidate, same input), dispatches blind pairwise judge subagents,…
jianshuo/claude-skills★ 137MITFolder:
wjs-evaling-voicedrop-promptsskill retrieval
BM25-based skill retrieval plugin for Hermes Agent. Replaces the full skill list in the system prompt with a names-only compact view (~2K tokens) and injects top-K relevant skill descriptions per turn via BM25 retrieval (~300 tokens). Saves ~9K…
moonlight-lupin/agent-skills★ 113MITFolder:
skill-retrievaloracle
Designing and evaluating AI/ML systems: prompt engineering, RAG design, LLM application patterns, AI safety, evaluation frameworks, MLOps, cost optimization. Use for AI pipelines or eval harnesses.
simota/agent-skills★ 96MITFolder:
oraclehunt llm ai
Hunt LLM/AI feature bugs — prompt injection, indirect injection, exfiltration via tool-use, ASCII smuggling, agentic AI security framework (ASI01-ASI10). Patterns: direct prompt injection in user input (bypass system prompt with 'ignore previous…
adriannoes/awesome-agentic-ai★ 89MITFolder:
hunt-llm-aillm app patterns
Provides architectural patterns for LLM-powered applications and AI assistants, including prompt engineering, RAG, agent loops, conversation management, and evaluation. Use when building AI-based features, chatbots, or complex AI system architectures.
tranhieutt/software_development_department★ 74MITFolder:
llm-app-patternsfable audit
Read-only gap check. Finds which of the 16 sections of Anthropic''s Fable 5.1 prompting guide your CLAUDE.md, rules files, and agent system prompts are missing, which of your rules push against a section, and what the plugin already covers; the Opus 5 /…
Junhan2/oh-my-fable★ 58MITFolder:
fable-auditclaude docs
Search and read locally-stored Claude documentation covering Claude Code CLI, Claude API (Messages, tool use, vision, streaming, batch), Agent SDK (Python and TypeScript), prompt engineering, and all Anthropic platform docs. Use this skill whenever the…
costiash/claude-code-docs★ 55Licence: see repoFolder:
claude-docs
Claude skills for prompt engineering: common questions
Is there a Claude skill for prompt engineering?
There are 100 of them, spread over 72 repositories on GitHub. Named for it and most starred: prompt engineering patterns (wshobson/agents, ★ 42k), ai prompt engineering safety review (github/awesome-copilot, ★ 41k) and prompt engineer (Jeffallan/claude-skills, ★ 12k). Stars rate the repository a skill sits in, not the skill.
How do I install a Claude skill for prompt engineering?
For prompt engineering, take the prompt-engineering-patterns folder from wshobson/agents (the folder that holds SKILL.md) into ~/.claude/skills/ to use it in every Claude Code project, or into .claude/skills/ for one project. In the Claude apps, zip that folder and upload it as a custom skill in settings.
Are these prompt engineering skills official?
No. None of the 100 prompt engineering skills comes from Anthropic's own skills repository, so all of them are community-made across 72 repositories.
Can I use these prompt engineering skills at work?
Of the 50 prompt engineering skills listed here, 42 sit in repositories under an open licence such as MIT or Apache 2.0, and 2, such as image prompt engineer and agent context audit, state no licence at all, which legally means you may not reuse them. Check the licence file before you copy one into company work.
What should I check before installing a prompt engineering skill?
A prompt engineering skill is instructions Claude follows, and it can bundle scripts Claude runs, so read SKILL.md and every script first: for prompt engineering patterns, that is everything in the prompt-engineering-patterns folder. 1 of the 50 here, image prompt engineer, come from repositories with under 10 stars, so few people have looked at it. Red flags: piping a download into a shell, sending files to a URL, and instructions to hide what it does from you.
Are these prompt engineering skills maintained?
70 of the 100 prompt engineering skills sit in repositories that changed in the 30 days before 31 Oct 2026.
More topics: every “Claude skills for…” page.