类型
类型检查与类型生成
prisma
elie222
How to use Prisma
1k-code-review-pr
OneKeyHQ
Structured PR code review checklist for OneKey monorepo. Use when reviewing PRs to identify build issues, script problems, CI workflow gaps, and documentation inconsistencies. Focuses on actionable feedback with priority levels and specific fix suggestions. 代码审查. Code Review PR.
1k-feature-guides
OneKeyHQ
Feature development guides for OneKey. Use when adding new chains, socket events, notifications, pages, or routes. Covers blockchain integration, WebSocket subscriptions, push notifications, and navigation patterns.
1k-coding-patterns
OneKeyHQ
Coding patterns and best practices — React components, promise handling, and TypeScript conventions.
1k-ui-recipes
OneKeyHQ
UI recipes for scroll offset (useScrollContentTabBarOffset), view transitions (startViewTransition), horizontal scroll in collapsible tab headers (CollapsibleTabContext), and Android bottom tab touch interception workaround.
devtu-fix-tool
mims-harvard
Fix failing ToolUniverse tools by diagnosing test failures, identifying root causes, implementing fixes, and validating solutions. Use when ToolUniverse tools fail tests, return errors, have schema validation issues, or when asked to debug or fix tools in the ToolUniverse framework.
tooluniverse-gene-enrichment
mims-harvard
Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools. Supports GO enrichment (BP, MF, CC), KEGG, Reactome, WikiPathways, MSigDB Hallmark, and 220+ Enrichr libraries. Handles multiple ID types (gene symbols, Ensembl, Entrez, UniProt), multiple organisms (human, mouse, rat, fly, worm, yeast), customizable backgrounds, and multiple testing correction (BH, Bonferroni). Use when users ask about gene enrichment, pathway analysis, GO term enrichment, KEGG pathway analysis, GSEA, over-representation analysis, functional annotation, or gene set analysis.
tooluniverse-gwas-drug-discovery
mims-harvard
Transform GWAS signals into actionable drug targets and repurposing opportunities. Performs locus-to-gene mapping, target druggability assessment, existing drug identification, safety profile evaluation, and clinical trial matching. Use when discovering drug targets from GWAS data, finding drug repurposing opportunities from genetic associations, or translating GWAS findings into therapeutic leads.
tooluniverse-precision-oncology
mims-harvard
Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.
tooluniverse-gwas-trait-to-gene
mims-harvard
Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like "What genes are associated with type 2 diabetes?"
tooluniverse-cancer-variant-interpretation
mims-harvard
Provide comprehensive clinical interpretation of somatic mutations in cancer. Given a gene symbol + variant (e.g., EGFR L858R, BRAF V600E) and optional cancer type, performs multi-database analysis covering clinical evidence (CIViC), mutation prevalence (cBioPortal), therapeutic associations (OpenTargets, ChEMBL, FDA), resistance mechanisms, clinical trials, prognostic impact, and pathway context. Generates an evidence-graded markdown report with actionable recommendations for precision oncology. Use when oncologists, molecular tumor boards, or researchers ask about treatment options for specific cancer mutations, resistance mechanisms, or clinical trial matching.
tooluniverse-drug-target-validation
mims-harvard
Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?"
devtu-optimize-descriptions
mims-harvard
Optimize tool descriptions in ToolUniverse JSON configs for clarity and usability. Reviews descriptions for missing prerequisites, unexpanded abbreviations, unclear parameters, and missing usage guidance. Use when reviewing tool descriptions, improving API documentation, or when user asks to check if tools are easy to understand.
reverse-documentation
raphaelmansuy
Automatically generate comprehensive documentation for Rust and TypeScript codebases by analyzing code structure, patterns, and relationships. Supports trait-based patterns, async operations, React components, and Next.js applications.
mcp-builder SKILL
raphaelmansuy
EdgeQuake RAG Framework
doc-traceability-validator
raphaelmansuy
Validate documentation traceability between code annotations (@implements), feature registry, business rules, and use cases. Detect ID collisions, undocumented features, broken cross-references, and namespace violations.
copilotkit-nextjs-integration
raphaelmansuy
Integrate CopilotKit AI components into Next.js frontend for building agentic UIs. Enables context-aware AI agents that can read app state and trigger tools/actions. Supports custom adapters for self-hosted LLMs and multiple provider integrations.
b2c-scapi-schemas
SalesforceCommerceCloud
Browse and retrieve (B2C/SFCC/Demandware) SCAPI OpenAPI schemas with the b2c cli. Always reference when using the CLI to browse SCAPI schemas, check API request/response formats, explore available endpoints, or understand SCAPI data models.
api-development
labring
FastGPT API 开发规范。重点强调使用 zod schema 定义入参和出参,在 API 文档中声明路由信息,编写对应的 OpenAPI 文档,以及在 API 路由中使用 schema.parse 进行验证。
create-skill-file
labring
Guides Claude in creating well-structured SKILL.md files following best practices. Provides clear guidelines for naming, structure, and content organization to make skills easy to discover and execute.
api-development
labring
FastGPT API 开发规范。重点强调使用 zod schema 定义入参和出参,在 API 文档中声明路由信息,编写对应的 OpenAPI 文档,以及在 API 路由中使用 schema.parse 进行验证。
test-skill
labring
当用户需要编写一个单元测试时，触发该 skill，编写单元测试。
openspec-apply-change
rivet-dev
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
openspec-continue-change
rivet-dev
Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.