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OpenAI · Prompt engineering
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. | DenisSergeevitch/ | 2.4k | — | ~7.4k | Automated safety check: Pass | MIT | 6 days ago |
| 2 | Analyzes a reference image and writes a prompt that could recreate it in an AI image generator, focusing on the visual traits that most affect similarity. | wuyoscar/ | 5.7k | — | ~1.8k | Automated safety check: Pass | MIT | 11 days ago |
| 3 | Apply a Claude Fable 5 inspired operating style inside Codex. | baskduf/ | 437 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | 2 mo ago |
| 4 | Analyzes and improves prompts using 31 frameworks across 7 intent categories. | ckelsoe/ | 315 | — | ~6.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 5 | Lays out a minimal, iteration-first approach to writing system prompts for LLM agents, with model-specific notes for Claude, GPT, Gemini, and Codex. | cashew-labs/ | 904 | — | ~570 | Automated safety check: Pass | MIT | 1 mo ago |
| 6 | Write prompts, system instructions, agent directives, slash commands, and skill descriptions using two stacked layers — outcome-first (define the destination, success criteria, stopping condition)… | kingbootoshi/ | 143 | — | ~2.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 7 | Comprehensive guide for designing, refining, and auditing system prompts for autonomous AI agents based on Anthropic's production practices. | agentailor/ | 132 | — | ~3.6k | Automated safety check: Pass | MIT | 1 mo ago |
| 8 | Agent-native image workflow and optional prompt optimizer for /bananahub and generic agent image generation requests. | bananahub-ai/ | 118 | — | ~7.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 9 | 9.Opik Reference for the Opik SDK — tracing, span types, framework integrations, threads, and the prompt library (Python, TypeScript, REST). | comet-ml/ | 220 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 10 | Edit English prose for clarity, specificity, natural flow, and fit to the requested voice. | adenaufal/ | 147 | — | ~5.6k | Automated safety check: Pass | MIT | 14 days ago |
| 11 | Generates or edits images with GPT Image 2 through an OpenAI-compatible API, or falls back to writing finished prompts from a library of structured templates. | ConardLi/ | 13k | — | ~4k | Automated safety check: Notes | MIT | today |
| 12 | A skill your agent uses when generating research/factcheck/image/video/slide prompts that need base templates (IFCN·StructuredResearch 등) — 단일 통합 AI 프롬프트 엔지니어링 레퍼런스의 라우팅 인덱스. | treylom/ | 185 | — | ~485 | Automated safety check: Pass | Unknown | 14 days ago |
| 13 | 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. | agentscope-ai/ | 871 | 1 repo | ~5k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 14 | Constrains language model output with regex, selections and grammars using the Guidance library, so JSON, XML, code or formatted fields come out valid. | Orchestra-Research/ | 13k | 5 repos | ~3.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 15 | A skill your agent uses when the user wants to reverse-engineer an existing image ad into a reusable prompt template. | krusemediallc/ | 1.6k | — | ~2.4k | Automated safety check: Notes | MIT | 18 days ago |
| 16 | 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。 | kangarooking/ | 208 | — | ~956 | Automated safety check: Pass | MIT | 5 mo ago |
| 17 | Tulis dan sunting teks Bahasa Indonesia agar jelas, spesifik, alami untuk audiensnya, dan sesuai suara yang diminta. | adenaufal/ | 147 | — | ~9.4k | Automated safety check: Pass | MIT | 14 days ago |
| 18 | Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram… | AgriciDaniel/ | 111 | — | ~1.2k | Automated safety check: Pass | MIT | 6 mo ago |
| 19 | 当需要为 AI 定义工具接口、设计调用规范、实现工具发现与编排机制时调用此 skill。典型场景包括:设计 AI agent 的工具集、定义 JSON Schema/XML/TypeScript 格式的工具描述、实现工具权限控制与并行调度、设计子代理委托架构。 | kangarooking/ | 208 | — | ~1.1k | Automated safety check: Pass | MIT | 5 mo ago |
| 20 | Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. | davila7/ | 33k | 4 repos | ~1.7k | Automated safety check: Pass | MIT | today |
| 21 | Cline's system prompt includes a timestamp that may be recomputed per request, invalidating the system-prompt cache. | OnlyTerp/ | 114 | — | ~751 | Automated safety check: Pass | Unknown | 1 mo ago |
| 22 | 22.Oracle Oracle second-model review: bundle prompts/files, debug, refactor, design. | steipete/ | 7.3k | 1 repo | ~2.1k | Automated safety check: Notes | MIT | today |
| 23 | 📝 Prompt Library workflow skill. An agent skill from diegosouzapw/awesome-omni-skills. | diegosouzapw/ | 159 | — | ~3.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 24 | Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. | getsentry/ | 1k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 25 | Lifecycle SOP for per-model prompt artifacts — the compiled prompts, instructions, few-shot demos, edit-format pins, and embedding-bound indices that change behavior when the underlying LM, dataset… | agentsope/ | 436 | — | ~8k | Automated safety check: Pass | MIT | 2 days ago |
| 26 | Tool skill — the first move in any LM-debugging session: dump the actual rendered prompt the framework sent to the model, before changing anything else. | agentsope/ | 436 | — | ~8.4k | Automated safety check: Pass | MIT | 2 days ago |
| 27 | Configures and runs LLM evaluation using Promptfoo framework. | daymade/ | 1.4k | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 28 | A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot. | rrezartprebreza/ | 301 | — | ~2.1k | Automated safety check: Pass | MIT | 19 days ago |
| 29 | A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot. | rrezartprebreza/ | 301 | — | ~2.5k | Automated safety check: Pass | MIT | 19 days ago |
| 30 | Tests/benchmarks a third-party LLM endpoint (OpenAI- or Anthropic-compatible): availability, fidelity, speed, concurrency, protocol compliance, quality regression. | daymade/ | 1.4k | — | ~4.7k | Automated safety check: Pass | MIT | yesterday |
| 31 | Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. | jamesrochabrun/ | 216 | — | ~4.2k | Automated safety check: Pass | MIT | 9 mo ago |
| 32 | Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc. | aiskillstore/ | 433 | 3 repos | ~3.9k | Automated safety check: Pass | No licence | yesterday |
| 33 | Recommend curated prompts from a 10,000+ real-world image generation prompt library. | LeoYeAI/ | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 34 | Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and A/B test wiring. | jeremylongshore/ | 2.8k | — | ~4.4k | Automated safety check: Pass | MIT | yesterday |
| 35 | Compose LangChain 1.0 Python runnables with the production defaults the docs do not warn about: parallel batching, narrow fallbacks, and brace-safe prompts. | jeremylongshore/ | 2.8k | — | ~3.4k | Automated safety check: Pass | MIT | yesterday |
| 36 | 36.Oracle Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation. | sundial-org/ | 663 | 2 repos | ~1.4k | Automated safety check: Notes | No licence | 7 mo ago |
| 37 | 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 |
| 38 | 38.LLM Router Selects the optimal LLM model and provider for each task based on complexity, cost budget, and capability requirements. | curiositech/ | 244 | — | ~1.7k | Automated safety check: Pass | MIT | 1 mo ago |
| 39 | Comprehensive framework for analyzing, creating, and refining prompts for AI systems. | aiskillstore/ | 433 | — | ~4.2k | Automated safety check: Pass | No licence | yesterday |