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Prompt engineering
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | Build a library of metacognitive prompts targeting planning, monitoring, or evaluation for a specific task. | GarethManning/ | 840 | — | ~4.3k | Automated safety check: Pass | Unknown | 1 mo ago |
| 290 | 290.Dspy Optimize and build programmatic prompt systems with Stanford DSPy. | magnus919/ | 115 | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 291 | How to read and write Friday memory stores correctly: store selection, terse entry format, large-content artifact pattern, and what's auto-injected into the system prompt. | friday-platform/ | 104 | — | ~2.6k | Automated safety check: Pass | Unknown | 1 mo ago |
| 292 | 292.Meme And Culture The cultural-fluency + meme-craft skill -- participate in internet culture and meme formats as a brand without being cringe, tone-deaf, or legally exposed. | social-media-skills/ | 134 | — | ~1.9k | Automated safety check: Pass | MIT | 9 days ago |
| 293 | 293.Reflect This skill should be used when the user asks to "reflect on this conversation", "optimize my agent setup", "improve agent instructions", "analyze chat patterns", "audit AGENTS.md", "suggest agent… | shepherdjerred/ | 112 | — | ~899 | Automated safety check: Pass | GPL-3.0 | yesterday |
| 294 | Master prompt engineering for AI models: LLMs, image generators, video models. | NeverSight/ | 217 | 1 repo | ~2.4k | Automated safety check: Pass | No licence | yesterday |
| 295 | Best practices and techniques for writing effective AI video generation prompts. | NeverSight/ | 217 | 1 repo | ~2k | Automated safety check: Pass | No licence | yesterday |
| 296 | A skill your agent uses 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 ×… | jianshuo/ | 131 | — | ~475 | Automated safety check: Pass | MIT | 1 mo ago |
| 297 | Multi-agent orchestration patterns for production deployments. | LeoYeAI/ | 2.2k | — | ~4.4k | Automated safety check: Pass | MIT | 2 mo ago |
| 298 | AI 学习记录与成长追踪工具。用于记录 AI/LLM 学习笔记、使用心得、Prompt 技巧、工具体验等，并提供学习指导和规划。当用户提到以下任何话题时都应使用此 skill：AI 学习记录、学习笔记、AI 使用心得、Prompt 工程学习、模型对比体验、AI 工具使用记录、LLM 学习、RAG 学习、Agent 学习、MCP 学习、AI 微调实践、AI 学习规划、怎么学 AI、AI… | LeoYeAI/ | 2.2k | — | ~2.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 299 | Meta-skill for building and publishing agent skills on ClawHub. | LeoYeAI/ | 2.2k | — | ~4.5k | Automated safety check: Pass | MIT | 2 mo ago |
| 300 | 300.Prompt Generator Generate high-quality, customizable AI prompts for various use cases including creative writing, problem-solving, education, business, programming, Flutter development, and game development. | LeoYeAI/ | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 301 | A Prompt Engineering assistant based on Gen AI Space's 16-technique framework. | LeoYeAI/ | 2.2k | — | ~4.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 302 | A specialized skill for the cover-designer agent covering cover design psychology. | revfactory/ | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 303 | 303.Prompt Optimizer Methodology for systematically evaluating and optimizing LLM prompt quality. | revfactory/ | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 304 | 304.Cortex Integrate Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. | jeremylongshore/ | 2.8k | — | ~2k | Automated safety check: Notes | MIT | yesterday |
| 305 | 305.Plan A skill your agent uses when a request needs shaping before any code is written — a rough or vague prompt to sharpen, an ambiguous idea to design, or a clear-enough task to decompose. | jeremylongshore/ | 2.8k | — | ~9.4k | Automated safety check: Pass | MIT | yesterday |
| 306 | Create and manage custom prompt libraries for Cascade. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~479 | Automated safety check: Pass | MIT | yesterday |
| 307 | Local recraft documentation reference (latest). An agent skill from olorehq/olore. | olorehq/ | 104 | — | ~773 | Automated safety check: Pass | MIT | yesterday |
| 308 | 308.Prompt Improver Rewrite a vague prompt into a rich, structured one, with automatic fallback. | davekilleen/ | 494 | — | ~1.9k | Automated safety check: Notes | MIT | 2 days ago |
| 309 | 309.Prompt Optimizer Turns rough intent or a weak prompt into a reliable one — diagnosing why output is inconsistent, restructuring the instruction, and adapting it across models. | cbrock84/ | 2k | — | ~1.2k | Automated safety check: Pass | MIT | 23 days ago |
| 310 | Systematic prompt engineering methods for AI-assisted academic research workf... | wentorai/ | 298 | 1 repo | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 311 | 311.Ema Nice Hta This skill should be used when the user asks about "EMA", "CHMP opinion", "NICE", "G-BA", "AMNOG", "HAS", "European launch", "HTA", "EU pricing", "reimbursement in Europe", or wants ex-US launch… | hh-health-AI/ | 101 | — | ~798 | Automated safety check: Pass | MIT | 3 days ago |
| 312 | This skill should be used when the user asks about "hospital margins", "cost reports", "HCRIS", "payer mix", "occupancy", "uncompensated care", "hospital capex capacity", "will hospitals buy", or… | hh-health-AI/ | 101 | — | ~837 | Automated safety check: Pass | MIT | 3 days ago |
| 313 | This skill should be used when the user asks about "Medicare Advantage margins", "MLR", "Star Ratings", "MA enrolment", "risk adjustment", "MedPAC benchmark", "payor margin normalisation"… | hh-health-AI/ | 101 | — | ~840 | Automated safety check: Pass | MIT | 3 days ago |
| 314 | This skill should be used when the user asks about "China approval", "NMPA", "CDE", "NRDL", "China reimbursement", "China licensing deal", "BIOSECURE", "out-licensing from China", or is assessing… | hh-health-AI/ | 101 | — | ~836 | Automated safety check: Pass | MIT | 3 days ago |
| 315 | 315.Orange Book Loe This skill should be used when the user asks about "LOE", "loss of exclusivity", "patent cliff", "when does [drug] go generic", "Orange Book", "Paragraph IV", "patent expiry", "generic entry date"… | hh-health-AI/ | 101 | — | ~1k | Automated safety check: Pass | MIT | 3 days ago |
| 316 | 316.Sdud Trx Proxy This skill should be used when the user asks for an "open TRx proxy", "SDUD", "Medicaid utilisation", "script trend without IQVIA", "is the launch tracking", "prescription volume for [brand]", or… | hh-health-AI/ | 101 | — | ~940 | Automated safety check: Pass | MIT | 3 days ago |
| 317 | Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. | ancoleman/ | 525 | — | ~5.1k | Automated safety check: Warn | MIT | 10 mo ago |
| 318 | 318.AI Product A skill your agent uses when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. | coco-research/ | 513 | — | ~4.5k | Automated safety check: Pass | Unknown | yesterday |
| 319 | Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself. | mohitagw15856/ | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT | 2 days ago |
| 320 | Build a personal library of reusable prompts for the things you ask AI again and again — so you stop rewriting the same request from scratch. | mohitagw15856/ | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | 2 days ago |
| 321 | 321.Prompt Optimizer Diagnose and rewrite an underperforming LLM prompt so it produces reliable, well-structured output. | mohitagw15856/ | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 322 | Step-by-step process for adopting Cavekit on an existing codebase. | hashgraph-online/ | 1.3k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 323 | 323.Prompt Pipeline How to design the numbered prompt pipeline that drives Hunt phases in Cavekit. | hashgraph-online/ | 1.3k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 324 | Write effective prompts for LLMs — structure, few-shot examples, chain-of-thought, system prompts, and output parsing. | spencerpauly/ | 844 | — | ~915 | Automated safety check: Pass | CC0-1.0 | 2 mo ago |
| 325 | Deploy the deterministic half of Einstein Pre-Work Brief on Field Service Mobile to a target org — prompt template, Lightning Data Service, licenses and permission sets, the Work Order layout field… | forcedotcom/ | 1.1k | — | ~12k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 326 | Write explicit strategy into system prompts as a learning mechanism — making LLM behavior more predictable and teachable through prompt-as-textbook approach. | LearnPrompt/ | 110 | — | ~1.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 327 | Prompt patterns for consistent UI generation: stating design intent precisely, component specification formats, few-shot examples, and structured refinement loops. | HermeticOrmus/ | 112 | — | ~3.6k | Automated safety check: Pass | MIT | 6 days ago |
| 328 | Select appropriate Ollama models for processing sensitive but legal content. | divinevideo/ | 266 | — | ~1.3k | Automated safety check: Pass | MPL-2.0 | yesterday |
| 329 | 329.Colm Experiments A skill your agent uses when designing or auditing the empirical core of a COLM paper — contamination analysis for evaluation data, fair baselines under matched prompting and compute, pinned model… | brycewang-stanford/ | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | 14 days ago |
| 330 | Battle-tested prompt patterns for production AI agents. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~6.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 331 | Transform natural language image requests into optimized structured prompts for Gemini image generation. | LeoYeAI/ | 2.2k | — | ~5.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 332 | 332.Prompt Optimizer When user asks to improve prompt, optimize prompt, better prompt, fix prompt, rewrite prompt, prompt engineering, make prompt better, enhance prompt, prompt template, system prompt, mega prompt… | LeoYeAI/ | 2.2k | — | ~6.2k | Automated safety check: Pass | MIT | 2 mo ago |
| 333 | 333.Opik Optimizer Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation. | vincentkoc/ | 108 | — | ~1.7k | Automated safety check: Pass | MIT | 3 days ago |
| 334 | OWASP LLM Top 10 (2025) audit checklist for AI applications, agent tools, RAG pipelines, and prompt construction. | HoangNguyen0403/ | 572 | — | ~921 | Automated safety check: Pass | MIT | yesterday |
| 335 | This skill should be used when the user asks about "gross to net", "GtN erosion", "net price assumption", "rebate pressure", "list vs net", "IRA maximum fair price impact", or wants to build or… | hh-health-AI/ | 101 | — | ~793 | Automated safety check: Pass | MIT | 3 days ago |
| 336 | 336.Japan Nhi Cycle This skill should be used when the user asks about "Japan pricing", "NHI price", "Chuikyo", "MHLW", "PMDA", "Japanese reimbursement", "price revision", "foreign average price", or is modelling… | hh-health-AI/ | 101 | — | ~707 | Automated safety check: Pass | MIT | 3 days ago |
