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Found 5,374 Skills
Read, edit, analyze, and create Microsoft Excel files (.xlsx, .xls, .xlsm, .csv, .tsv). Use when a user asks to: (1) Open/read/inspect an Excel file, (2) Edit or modify spreadsheet data, formulas, or formatting, (3) Analyze spreadsheet data and provide insights, statistics, or trends, (4) Create new Excel files with data, formulas, charts, or formatting, (5) Convert between CSV/TSV and Excel formats, (6) Build financial models or dashboards in Excel.
A tool for converting Markdown to WeChat Official Account HTML, supporting full inline styles, system font stacks, rich components, custom theme colors and metadata, generating HTML compatible with WeChat Official Account Editor. Use when: - Convert Markdown to WeChat Official Account HTML - WeChat article formatting - Articles with custom theme colors - Batch WeChat content generation - Publish tech articles to WeChat Official Account - WeChat style components Cross-references: content-extractor, long-form-writer, document-hub, wechat-article-fetcher, image-ocr Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
Use this skill when the user wants a systematic literature review, survey, or synthesis across multiple academic papers on a topic. Also covers annotated bibliographies and cross-paper comparisons. Searches arXiv and outputs reports in APA, IEEE, or BibTeX format. Not for single-paper tasks — use academic-paper-review for reviewing one paper.
Select and create the perfect AI voice for your content using ElevenLabs, Qwen3-TTS, and other platforms—matching voice characteristics to brand personality and audience. Use when: Choosing an AI voice for video narration; Creating a consistent brand voice across content; Cloning a voice for scalable production; Comparing voice synthesis platforms; Designing voice characteristics by description
Audit all installed agent skills across global and project scopes to find and remove duplicate skills. Use when asked to audit my skills, deduplicate skills, clean up skills, or find duplicate skill installations. Don't use for creating or improving a single skill, running skill evals, or packaging/publishing skills.
Guides systematic PyTorch recommender-system model development across compact data facts, existing source code, configs, focused tests, and training loops without overloading context from broad research archives. Use when building, debugging, or refactoring torch/nn.Module RecSys models with Transformer/HSTU/attention blocks, sparse/dense/list feature fusion, pCVR/CTR heads, ablation axes, or competition codebases where many model ideas exist but bugs and interface drift must be controlled. 用来指导推荐系统 PyTorch 模型开发、Transformer/HSTU 建模、关键数据事实、特征交互、shape/debug、训练闭环和已有模型结构的系统化推进。
Verint Open Platform help — enterprise CX automation with Da Vinci AI bots (Quality Bot 100% QA, Coaching Bot real-time guidance, Wrap Up Bot auto-summaries, CX/EX Scoring, TimeFlex agent scheduling, Exact Transcription 80+ languages), WFM forecasting/scheduling/adherence, knowledge automation, IVA virtual assistants, speech/text analytics, financial compliance, Verint Marketplace 350+ listings. Use when Verint reports loading slowly or showing inconsistent data, Quality Bot not scoring interactions correctly, Coaching Bot recommendations irrelevant, WFM forecasts off vs actual volume, Verint API integration or developer portal questions, comparing Verint vs NICE vs Genesys WEM capabilities, or connecting Verint to your CCaaS or CRM. Do NOT use for choosing between CCaaS platforms (use /sales-ccaas-selection) or for QA tool comparison across vendors (use /sales-coaching).
Revolut X live price and indicator monitoring. Use when the user asks to "monitor prices", "set up alerts", "watch RSI", "track EMA crossover", "volume spike alert", "Bollinger band alert", "MACD alert", or runs revx monitor commands. This is a long-running background process.
Guided, section-by-section GDD authoring for a single game system. Gathers context from existing docs, walks through each required section collaboratively, cross-references dependencies, and writes incrementally to file.
Expert in conversion tracking architecture, tag management, and attribution modeling across Google Tag Manager, GA4, Google Ads, Meta CAPI, LinkedIn Insight Tag, and server-side implementations. Ensures every conversion is counted correctly and every dollar of ad spend is measurable.
Use when you need comprehensive security scanning across applications, infrastructure, and dependencies with LLM-based analysis
Use when adding capabilities to an existing agent project — memory, app integration, VPC, multi-agent, migration, model changes, browser, code interpreter, or resource removal. Triggers on: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "auth to call agent", "streaming responses", "VPC", "VPC connectivity", "VPC error", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "after import", "migration issue", "framework for migration", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "resource-based policy on memory". Not for connecting to external APIs via Gateway — use agents-connect. Not for scaffolding a new project — use agents-get-started. Not for CLI/dev server errors — use agents-debug. Strands vs LangGraph in a migration context routes here.