Tipus
Comprovació i generació de tipus
git-commit
github
'Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping'
terraform-azurerm-set-diff-analyzer
github
Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.
azure-deployment-preflight
github
'Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.'
api-doc-generator
TerminalSkills
Generate and validate API documentation from source code, route definitions, and existing endpoints. Use when a user asks to generate API docs, create OpenAPI specs, document endpoints, sync docs with code, detect documentation drift, or produce Swagger files from a codebase.
Forms
HoangNguyen0403
Standards for Typed Reactive Forms and Validators.
mcp-builder SKILL
raphaelmansuy
EdgeQuake RAG Framework
electron-desktop
travisjneuman
Desktop application development with Electron for Windows, macOS, and Linux. Use when building cross-platform desktop apps, implementing native OS features, or packaging web apps for desktop.
generic-code-reviewer
travisjneuman
Review code for bugs, security vulnerabilities, performance issues, accessibility gaps, and CLAUDE.md workflow compliance. Supports any tech stack - HTML/CSS/JS, React, TypeScript, Node.js, Python, NestJS, Next.js, and more. Use when completing features, before commits, or reviewing pull requests.
generic-fullstack-feature-developer
travisjneuman
Guide feature development for full-stack applications with architecture focus. Covers Next.js App Router patterns, NestJS backend services, database models, data workflows, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.
generic-react-feature-developer
travisjneuman
Guide feature development for React applications with architecture focus. Covers Zustand/Redux patterns, IndexedDB usage, component systems, lazy loading strategies, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.
team
Yeachan-Heo
N coordinated agents on shared task list using Claude Code native teams
build-fix
Yeachan-Heo
Fix build and TypeScript errors with minimal changes
autopilot
Yeachan-Heo
Full autonomous execution from idea to working code
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-immunotherapy-response-prediction
mims-harvard
Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.
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.
schedule
rcarmo
Schedule a task to run later or on a recurring basis. Creates an IPC file that piclaw picks up to register the scheduled task.
databricks-metric-views
databricks-solutions
"Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools."
databricks-zerobus-ingest
databricks-solutions
"Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic."
compound-docs
EveryInc
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
crud
Chachamaru127
"CRUDをサクッと自動生成。ボイラープレートはAIにお任せ。Use when user mentions CRUD, entity generation, or wants to create API endpoints. Do NOT load for: UI component creation, form design, database schema discussions."
uipath-functions
UiPath
"UiPath Coded Functions — deterministic Python or TypeScript/JavaScript units built with the uip function CLI (new -l py ts js, init, serve, run, pack, publish); the functions map in uipath.json marks the project. Python: Pydantic Input/Output models, lazy UiPath() SDK singleton. JS/TS: defineFunction + defineSchema<T>() contracts, HTTP endpoints for Coded App backends or run-as-job, FunctionError. Rule-based logic, data transforms, ERP/Integration Service calls — invoked as Maestro Service Tasks, from agents, via Orchestrator POST /Jobs/StartJobs, or HTTP triggers; no LLM reasoning or agent loop. For LLM/agentic projects (LangGraph, LlamaIndex, OpenAI Agents, agent.json)→uipath-agents. For the Coded App frontend itself (React app code, PKCE setup, app deploy)→uipath-coded-apps."