类型
类型检查与类型生成
parameterization
uw-ssec
Master declarative parameter systems with Param for type-safe configuration. Use this skill when building parameterized classes with automatic validation, creating reactive dependencies with @param.depends, implementing watchers for side effects, auto-generating UIs from parameters, or organizing application configuration with hierarchical parameter structures.
lumen-dashboards
uw-ssec
Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating interactive filters and cross-filtering, designing responsive layouts with indicators and charts, or enabling rapid dashboard prototyping without writing code.
dspy-advanced-module-composition
OmidZamani
This skill should be used when the user asks to "compose DSPy modules", "use Ensemble optimizer", "combine multiple programs", "use dspy.MultiChainComparison", mentions "ensemble voting", "module composition", "sequential pipelines", or needs to build complex multi-module DSPy programs with ensemble patterns or multi-chain comparison.
dspy-custom-module-design
OmidZamani
This skill should be used when the user asks to "create custom DSPy module", "design a DSPy module", "extend dspy.Module", "build reusable DSPy component", mentions "custom module patterns", "module serialization", "stateful modules", "module testing", or needs to design production-quality custom DSPy modules with proper architecture, state management, and testing.
dspy-output-refinement-constraints
OmidZamani
This skill should be used when the user asks to "refine DSPy outputs", "enforce constraints", "use dspy.Refine", "select best output", "use dspy.BestOfN", mentions "output validation", "constraint checking", "multi-attempt generation", "reward function", or needs to improve output quality through iterative refinement or best-of-N selection with custom constraints.
openai-api
ynulihao
Build with OpenAI's stateless APIs - Chat Completions (GPT-5, GPT-4o), Embeddings, Images (DALL-E 3), Audio (Whisper + TTS), and Moderation. Includes Node.js SDK and fetch-based approaches for Cloudflare Workers. Use when: implementing chat completions with GPT-5/GPT-4o, streaming responses with SSE, using function calling/tools, creating structured outputs with JSON schemas, generating embeddings for RAG (text-embedding-3-small/large), generating images with DALL-E 3, editing images with GPT-Image-1, transcribing audio with Whisper, synthesizing speech with TTS (11 voices), moderating content (11 safety categories), or troubleshooting rate limits (429), invalid API keys (401), function calling failures, streaming parse errors, embeddings dimension mismatches, or token limit exceeded.
browser-automation
ynulihao
Non-testing browser automation - web scraping, form filling, screenshot capture, PDF generation, workflow automation. For TESTING with Playwright, use e2e-playwright skill instead. Activates for web scraping, form automation, screenshot, PDF, headless browser, Puppeteer, Selenium, automation scripts, data extraction.
vercel-design
Dwsy
"Vercel 设计指南 - 构建高质量 Web 应用的最佳实践，包含现代 UI/UX 原则、性能优化和无障碍标准。"
dev-browser
ynulihao
Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website", "log into", or any browser interaction request.
markersfinder
pwwang
Flexible marker finding process that wraps Seurat's FindMarkers function for custom group comparisons beyond simple cluster-vs-all analysis. Unlike ClusterMarkers (all-vs-all cluster comparisons), MarkersFinder enables targeted differential expression analysis between specific groups, conditions within cell types, or any custom comparison defined by metadata columns. Automatically performs pathway enrichment analysis on significant markers and generates comprehensive visualizations.
seuratsubclustering
pwwang
Performs fine-grained re-clustering on specific subsets of cells (e.g., individual clusters, cell types, or custom subsets). Unlike Seurat::FindSubCluster which only finds subclusters within a single cluster, this process performs the complete clustering workflow (PCA, UMAP, FindNeighbors, FindClusters) on any subset of cells defined by metadata filters or cell barcode lists.
mcp-builder
basher83
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs
cellcellcommunicationplots
pwwang
Visualize cell-cell communication inference results from CellCellCommunication process. Creates publication-ready network diagrams, heatmaps, and interaction plots to help interpret ligand-receptor interactions between cell types.
cellcellcommunication
pwwang
Infer ligand-receptor interactions and cell-cell communication networks from single-cell RNA-seq data using the LIANA+ framework. Identifies potential signaling events between cell types based on gene expression patterns and curated ligand-receptor interaction databases.
seuratclusteringofallcells
pwwang
Performs coarse clustering on ALL cells (including T cells, B cells, and non-T/B cells) before cell type selection. This process identifies broad cell populations to enable subsequent T/B cell selection via TOrBCellSelection. Unlike SeuratClustering which works on already-selected T/B cells, this provides initial clustering on heterogeneous cell populations.
conventional-commits
dashed
"Format git commit messages following Conventional Commits 1.0.0 specification. Use when the user asks to commit changes, create a git commit, or mentions committing code. Ensures consistent, semantic commit messages that support automated changelog generation and semantic versioning."
celltypeannotation
pwwang
Annotates cell clusters with biological cell type labels using multiple methods: direct assignment, ScType, scCATCH, hitype, or CellTypist. This process is essential for interpreting clustering results by assigning meaningful biological identities to each cluster.
topexpressinggenesofallcells
pwwang
Identifies and visualizes the top expressing genes per cluster across ALL cells (before T/B cell selection), followed by pathway enrichment analysis. Provides initial overview of all cell populations by highlighting the most highly expressed genes and their biological functions.
topexpressinggenes
pwwang
Identifies and visualizes the top expressing genes per cluster in T/B cells, followed by pathway enrichment analysis. Provides quick cluster characterization by highlighting the most highly expressed genes and their biological functions.
metabolicexpimputation
pwwang
Imputes missing/dropout values in scRNA-seq expression data to improve metabolic pathway analysis. This process handles sparsity common in single-cell RNA sequencing data by filling in zero values using advanced imputation methods (ALRA, scImpute, or MAGIC). The imputed data provides more accurate metabolic pathway activity calculations and feature selection in downstream analysis.
Hedera Plugin Creation
hedera-dev
This skill should be used when the user asks to "create a hedera plugin", "build a hedera agent kit plugin", "extend hedera agent kit", "create custom hedera tools", "add hedera functionality", "write a hedera tool", "implement hedera tool", or needs guidance on Hedera Agent Kit plugin architecture, tool definitions, mutation tools, query tools, or parameter schemas using Zod.
Hedera Hackathon PRD
hedera-dev
This skill should be used when the user wants to plan a Hedera hackathon project, create a PRD, write a project spec, brainstorm a hackathon idea, or structure their hackathon submission. Triggered by phrases like "hackathon project plan", "hackathon PRD", "plan my hackathon project", "hedera hackathon idea", "write a hackathon spec", "hackathon project structure", "prepare for hackathon", or "build for hackathon".
Founder Intelligence Skill
BrianRWagner
Claw Mart: https://www.shopclawmart.com/listings/founder-intelligence-2002a45e
acsets-algebraic-databases
plurigrid
"ACSets (Attributed C-Sets): Algebraic databases with Specter-style bidirectional"