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Found 1,305 Skills
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models
This skill should be used when the user requests to "save team", "team save", "save team configuration", or "export team". It reads the configuration from a running team and saves it as a snapshot file to the .team-profiles/ directory for reuse with /team-load.
Apideck Unified API integration patterns for C# and .NET. Use when building integrations with accounting software (QuickBooks, Xero, NetSuite), CRMs (Salesforce, HubSpot, Pipedrive), HRIS platforms (Workday, BambooHR), file storage (Google Drive, Dropbox, Box), ATS systems (Greenhouse, Lever), e-commerce, or any of Apideck's 200+ connectors using .NET. Covers the ApideckUnifySdk NuGet package, authentication, CRUD operations, pagination, error handling, and Vault connection management.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
Generate complete automated TDD development pipelines from a todolist.md file. Creates a self-contained directory with autodev.sh, system_prompt.md, gate_check.sh, and task cards that drive Claude Code through spec-anchored, gate-guarded, card-by-card development — fully automated with no human in the loop. Features: TDD 5-step closure, 3-level AI decision protocol, independent acceptance verification, auto-repair on test failure, Bug Hunt phase for post-development P0/P1/P2 bug scanning and fixing. Use when user says "帮我生成 autodev", "create autodev for", "generate autodev pipeline", or needs to turn a todolist.md into an automated gated TDD development pipeline.
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets. Use when analyzing single-cell RNA-seq data, studying cell-cell interactions, performing cell type differential expression, computing gene-expression correlations by cell type, analyzing tumor-immune communication, or answering questions about scRNA-seq datasets.
Analyze application logs from the .evlog/logs/ directory. Use when debugging errors, investigating slow requests, understanding request patterns, or answering questions about application behavior. Reads structured NDJSON wide events written by evlog's file system drain.
Use when working with sunpeak, or when the user asks to "build an MCP App", "build a ChatGPT App", "add a UI to an MCP tool", "create an interactive resource for Claude Connector or ChatGPT", "build a React UI for an MCP server", or needs guidance on MCP App resources, tool-to-UI data flow, simulation files, host context, platform-specific ChatGPT/Claude features, or end-to-end testing of MCP App UIs.
Query the ExoPriors Scry API -- SQL-over-HTTPS search across 229M+ entities spanning forums, papers, social media, government records, and prediction markets. Includes cross-platform author identity resolution (actors, people, aliases), OpenAlex academic graph navigation (authors, citations, institutions, concepts), shareable artifacts, and structured agent judgements. Use when the task involves: Scry API, ExoPriors, /v1/scry/query, scry.search, scry.entities, materialized views, corpus search, epistemic infrastructure, 229M entities, lexical search, BM25, structured agent judgements, scry shares, cross-corpus analysis, who is this person, cross-platform identity, OpenAlex, citation graph, coauthor graph, academic papers, author lookup. NOT for: semantic/vector search composition or embedding algebra (use scry-vectors), LLM-based reranking (use scry-rerank), or the user's own local Postgres / non-ExoPriors data sources.
Use when working with WeChat mini-program automation (mini-program automation, automated testing, E2E) via miniprogram-automator, especially for standalone Node scripts or Jest tests involving DevTools launch/connect, page navigation, waitFor, custom-component selectors, wx method mocking, console or exception listeners, screenshots, regression checks, or troubleshooting launch failures, connection timeouts, and element-not-found issues.
Use this skill when optimizing websites for multiple countries or languages - hreflang tag implementation, URL structure strategy (ccTLD vs subdomain vs subdirectory), geo-targeting in Google Search Console, multilingual content strategy, and international site architecture. Triggers on multi-language sites, multi-region targeting, hreflang debugging, or expanding a site to new markets.
Use this skill when working with internationalization (i18n), localization (l10n), translation workflows, right-to-left (RTL) layout support, pluralization rules, or ICU MessageFormat syntax. Triggers on translating strings, setting up i18n libraries (react-intl, i18next, FormatJS), handling plural forms, formatting dates/numbers/currencies for locales, building translation pipelines, configuring RTL stylesheets, or writing ICU message patterns with select/plural/selectordinal.