461 skills found · Page 13 of 16
borghei / agent-harnessTest and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency budgets
borghei / agentic-evaluation-frameworkThis skill should be used when the user asks to "evaluate LLM output quality", "set up LLM-as-judge", "build an eval rubric", "compare model outputs pairwise", or "measure agent quality".
borghei / batch-api-orchestratorThis skill should be used when the user asks to "batch LLM requests", "should I use the batch API", "estimate batch vs realtime cost", "design a bulk LLM job", or "process thousands of prompts cheaply".
borghei / extended-thinking-architectThis skill should be used when the user asks to "decide reasoning effort", "set a thinking budget", "when to use extended thinking", "tune reasoning vs cost", or "should this task use a reasoning model".
borghei / llm-cost-optimizerThis skill should be used when the user asks to "estimate LLM costs", "count tokens in prompts", "optimize prompt token usage", "compare model pricing", or "reduce LLM API costs".
AgriciDaniel / seo-dataforseoLive SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (Cha…
staruhub / mineru-pdf-parser用 MinerU 将复杂PDF文档转换为LLM友好的Markdown/JSON格式。适用于：(1) PDF转Markdown/JSON，(2) 提取PDF中的文本、表格、公式、图像，(3) 解析学术论文、技术文档、商业报告，(4) 为RAG应用准备文档数据，(5) 批量处理PDF。触发关键词："PDF解析"、"PDF转Markdown"、"提取PDF表格/公式"、"MinerU"、"parse PDF"等。不用于：PDF的阅读/填表/签名/拆分合并（用宿主pdf工具）、Word/PPT等非PDF格式解析、只需读几页内容的场景（直接读即可，不必转换）。
staruhub / llm-wikiBuild and maintain a structured LLM-generated wiki for any codebase
nexscope-ai / amazon-shipping-calculatorAmazon FBA and FBM shipping cost calculator and fulfillment optimization. Dimensional weight analysis, storage fee calculation, removal cost estimation, and fulfillment method comparison
shinpr / recipe-front-designExecute from repository evidence through applicable UI Spec and optional ADR decisions to complete frontend Design Doc approval
shinpr / recipe-designExecute from codebase-scoped analysis through optional ADR decisions to complete Design Doc approval
shinpr / recipe-front-adjustAdjust an already-implemented UI in-session with verification against the design source
shinpr / recipe-quality-profileProposes repository-specific quality policy for implementation and review and, after confirmation, creates or updates docs/project-context/quality.yaml
Ar9av / paper-autoratersRun the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side)…
evanca / developing-genkit-dartUse when building AI agents in Dart, implementing Genkit flows or tools, integrating LLMs into Dart or Flutter applications, or using Genkit Dart plugins.
aiworkskills / aws-wechat-article-writing公众号写稿｜长文写作｜文章润色｜改写续写 — 公众号长文 AI 写作，从话题或提纲生成完整初稿，支持改写、续写、润色、开头结尾优化，可调 DeepSeek / GPT / Claude 或由 Agent 代写。面向自媒体作者、公众号运营、品牌文案。触发词（**单独触发仅限对已有稿子的修改**）：「改写」「润色」「续写」「续一段」「往下写」「接着这段写」「重写开头」「改结尾」「调整语气」「这段润色下」「把这段改活泼点」「优化用词」「用 GPT 重写」「用 DeepSeek 重写」。新写一篇请走 aws-wechat-article-main（main 内部会调用本 skill 生成初稿）；需要多…
michael-denyer / interrogateUse for \"interrogate\", \"adversarial review\", \"multi-model review\", \"challenge this\", \"stress test this code\", \"find blind spots\", or \"tear this apart\". Multiple LLM reviewers challenge changes from independent angles.
bitwize-music-studio / plagiarism-checkerScans lyrics for phrases that may match existing songs using web search and LLM knowledge. Use before release to check for unintentional borrowing.
gcpdev / llm-council-skillA skill to claude code that enables brainstorming with other LLMs (ChatGPT, Gemini) before presenting the implementation plan to the user
smixs / imageImage prompting skill for Nano Banana (NBP/NB2) and GPT Image 2.5 (Flare/Sunburst). Writes ready-to-use prompts with model/quality/size recommendations
aiskillstore / ai-image-generationGenerate AI images with GPT-Image-2, FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: GPT-Image-2, FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, ImagineArt.
redfox-data / optimize-skill-md按照《Skills MD 标准书写格式》对现有 SKILL.md 进行结构化优化，提升描述质量、章节组织、内容简洁度和格式规范性。当用户需要优化、改进或标准化 SKILL.md 文件时使用。触发词：优化SKILL.md、改进skill、标准化skill格式、skill格式检查、skill优化。
redfox-data / stock-analysis基于5位公众号股票投资大V（猫笔刀、格兰投研、投资明见、财躺平、终身黑白）200+篇文章蒸馏形成的风格画像，通过 AI Agent 实现风格化投资分析，支持单大V复盘、多V并行对比、板块漏斗筛选、短线选股、组合复盘、财报点评、观点跟踪等多模式。当用户请求股票复盘、大V风格分析、多V对比、板块分析、短线选股、组合复盘、财报点评时使用。触发词：股票复盘、大V分析、模拟大V、风格化复盘、多V对比、每日复盘、板块分析、选股、组合复盘、财报点评、大V观点。
jamditis / academic-writingScholarly writing and research compliance. Use for CRediT, preregistration, Plan S, Nelson Memo, preprints, ORCID, LLM disclosure.
jamditis / context-engineering-fundamentalsManages attention and evidence in long agent sessions. Use for lost instructions, dropped evidence, or large multi-agent contexts.
Microck / cobrapyConstraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
Microck / Convex Agents Usage TrackingTracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
Microck / data-transformTransform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Microck / data-viz-plotsCreate publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Microck / deepchemMolecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
