Topic · AI & LLM Engineering
Best prompt engineering skills, page 8
Prompt engineering skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 337 | Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. | majiayu000/ | 666 | 1 repo | ~263 | Automated safety check: Pass | MIT | today |
| 338 | 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 | today |
| 339 | Write explicit strategy into system prompts as a learning mechanism — making LLM behavior more predictable and teachable through prompt-as-textbook approach. | LearnPrompt/ | 109 | — | ~1.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 340 | 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 | 3 days ago |
| 341 | Active diagnostic tool for analyzing prompt quality, detecting anti-patterns, identifying token waste, and providing optimization recommendations | aiskillstore/ | 430 | 1 repo | ~3.2k | Automated safety check: Pass | No licence | today |
| 342 | Select appropriate Ollama models for processing sensitive but legal content. | divinevideo/ | 266 | — | ~1.3k | Automated safety check: Pass | MPL-2.0 | today |
| 343 | 343.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 | 10 days ago |
| 344 | 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 |
| 345 | 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 |
| 346 | 346.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 |
| 347 | 347.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/ | 107 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 348 | 348.Agent Generator Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions. | majiayu000/ | 666 | 1 repo | ~1k | Automated safety check: Pass | MIT | today |
| 349 | 349.Prompt Engineer 专注大语言模型提示词设计与优化的专家,精通系统提示词架构、思维链设计、少样本学习策略、以及提示词效果评测和迭代方法论. An agent skill from majiayu000/claude-skill-registry. | majiayu000/ | 666 | 1 repo | ~713 | Automated safety check: Pass | MIT | today |
| 350 | Prompt templates, few-shot examples, chain-of-thought, structured output, evals | majiayu000/ | 666 | 1 repo | ~1.5k | Automated safety check: Pass | MIT | today |
| 351 | 351.Prompt Lookup Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. | majiayu000/ | 666 | 1 repo | ~528 | Automated safety check: Pass | MIT | today |
| 352 | OWASP LLM Top 10 (2025) audit checklist for AI applications, agent tools, RAG pipelines, and prompt construction. | HoangNguyen0403/ | 571 | — | ~921 | Automated safety check: Pass | MIT | today |
| 353 | 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 | 2 days ago |
| 354 | 354.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 | 2 days ago |
| 355 | This skill should be used when the user asks about "NIH funding", "RePORTER", "academic end market", "research budgets", "tools demand", "instrument placements", "capex cycle for tools", or is… | hh-health-AI/ | 101 | — | ~905 | Automated safety check: Pass | MIT | 2 days ago |
| 356 | Reviews Claude Code agent definition files for tool-access security, triggering quality, and system prompt clarity. | bitwarden/ | 154 | — | ~2.4k | Automated safety check: Pass | Unknown | today |
| 357 | Creates custom output styles for Claude Code that modify system prompts and behavior. | aiskillstore/ | 430 | — | ~1.5k | Automated safety check: Pass | No licence | today |
| 358 | 358.Subagent Factory Create specialized Claude Code agents on-the-fly. An agent skill from aiskillstore/marketplace. | aiskillstore/ | 430 | — | ~1.7k | Automated safety check: Pass | No licence | today |
| 359 | Generate optimized LLM prompts using chain-of-thought, ReAct, and other scientific reasoning patterns | lamm-mit/ | 244 | — | ~522 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 360 | Run Wyckoff master-style analysis from stock codes, holdings (symbol/cost/qty), cash, CSV data, and optional chart images. | LeoYeAI/ | 2.2k | — | ~1.6k | Automated safety check: Pass | MIT | 2 mo ago |
Explore related skills
Category
More topics in AI & LLM Engineering
- Building AI agents563
- Deep learning415
- Embeddings386
- LLM inference and serving372
- Retrieval-augmented generation358
- Fine-tuning309
- LLM evaluation308
- Speech recognition and synthesis308
- Structured output and tool calling276
- LLM cost and token optimization259
- LLM API integration255
- Model routing and gateways255
- LLM observability240
- LLM guardrails221
- Computer vision203
- Model hubs and datasets180
- GPU and accelerator computing176
- Diffusion and image models166
- Natural language processing131
- Reinforcement learning66
- AI interpretability23