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sentry-dotnet-sdk

Full Sentry SDK setup for .NET. Use when asked to "add Sentry to .NET", "install Sentry for C#", or configure error monitoring, tracing, profiling, logging, or crons for ASP.NET Core, MAUI, WPF, WinForms, Blazor, Azure Functions, or any other .NET application.

getsentry
getsentry
192

sentry-sdk-skill-creator

Create a complete Sentry SDK skill bundle for any platform. Use when asked to "create an SDK skill", "add a new platform skill", "write a Sentry skill for X", or build a new sentry-<platform>-sdk skill bundle with wizard flow and feature reference files.

getsentry
getsentry
192

sentry-setup-ai-monitoring

Setup Sentry AI Agent Monitoring in any project. Use when asked to monitor LLM calls, track AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI/Pydantic AI. Detects installed AI SDKs and configures appropriate integrations.

getsentry
getsentry
192

sentry-otel-exporter-setup

Configure the OpenTelemetry Collector with Sentry Exporter for multi-project routing and automatic project creation. Use when setting up OTel with Sentry, configuring collector pipelines for traces and logs, or routing telemetry from multiple services to Sentry projects.

getsentry
getsentry
192

sentry-pr-code-review

Review a project's PRs to check for issues detected in code review by Seer Bug Prediction. Use when asked to review or fix issues identified by Sentry in PR comments, or to find recent PRs with Sentry feedback.

getsentry
getsentry
192

sentry-python-sdk

Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.

getsentry
getsentry
192

sentry-react-native-sdk

Full Sentry SDK setup for React Native and Expo. Use when asked to "add Sentry to React Native", "install @sentry/react-native", "setup Sentry in Expo", or configure error monitoring, tracing, profiling, session replay, or logging for React Native applications. Supports Expo managed, Expo bare, and vanilla React Native.

getsentry
getsentry
192

sentry-react-sdk

Full Sentry SDK setup for React. Use when asked to "add Sentry to React", "install @sentry/react", or configure error monitoring, tracing, session replay, profiling, or logging for React applications. Supports React 16+, React Router v5-v7, TanStack Router, Redux, Vite, and webpack.

getsentry
getsentry
192

sentry-create-alert

Create Sentry alerts using the workflow engine API. Use when asked to create alerts, set up notifications, configure issue priority alerts, or build workflow automations. Supports email, Slack, PagerDuty, Discord, and other notification actions.

getsentry
getsentry
192

sentry-fix-issues

Find and fix issues from Sentry using MCP. Use when asked to fix Sentry errors, debug production issues, investigate exceptions, or resolve bugs reported in Sentry. Methodically analyzes stack traces, breadcrumbs, traces, and context to identify root causes.

getsentry
getsentry
192

sentry-svelte-sdk

Full Sentry SDK setup for Svelte and SvelteKit. Use when asked to "add Sentry to Svelte", "add Sentry to SvelteKit", "install @sentry/sveltekit", or configure error monitoring, tracing, session replay, or logging for Svelte or SvelteKit applications.

getsentry
getsentry
192

sentry-go-sdk

Full Sentry SDK setup for Go. Use when asked to "add Sentry to Go", "install sentry-go", "setup Sentry in Go", or configure error monitoring, tracing, logging, metrics, or crons for Go applications. Supports net/http, Gin, Echo, Fiber, FastHTTP, Iris, and Negroni.

getsentry
getsentry
192

sentry-nextjs-sdk

Full Sentry SDK setup for Next.js. Use when asked to "add Sentry to Next.js", "install @sentry/nextjs", or configure error monitoring, tracing, session replay, logging, profiling, AI monitoring, or crons for Next.js applications. Supports Next.js 13+ with App Router and Pages Router.

getsentry
getsentry
192

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

felixAnhalt
felixAnhalt
19

add-new-file

Guide for adding new files to this codebase while respecting architectural principles including Separation of Concerns, Common Closure Principle, small composable functions (max 20 lines), and externalizing constants. Use when creating new modules, utilities, or any new source files in the project.

felixAnhalt
felixAnhalt
19

cuda

CUDA kernel development, debugging, and performance optimization for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, or parallel algorithms. Covers non-interactive profiling with nsys/ncu, debugging with cuda-gdb/compute-sanitizer, binary inspection with cuobjdump, and performance analysis workflows. Triggers on CUDA, GPU programming, kernel optimization, nsys, ncu, cuda-gdb, compute-sanitizer, PTX, GPU profiling, parallel performance.

technillogue
technillogue
192

testing-skill

A brief description of what this skill does

johnlindquist
johnlindquist
193

storyline-builder

McKinsey-style storyline framework for building presentation decks. Use when users need to structure presentations, pitch decks, or strategic communications. Creates logical flow where each storyline becomes a slide title, progressing from problem to solution.

sruthir28
sruthir28
191

scpr-framework

SCPR (Situation-Complication-Problem-Recommendation) framework for structured problem solving and executive communication. Use when users need to structure strategic arguments, analyze business situations, create executive summaries, or develop clear problem statements using McKinsey-style communication. Apply when structuring recommendations, writing memos, or organizing strategic thinking.

sruthir28
sruthir28
191

issue-tree-builder

McKinsey-style issue tree framework for breaking down complex problems into MECE (Mutually Exclusive, Collectively Exhaustive) components. Use when users need to decompose strategic questions, structure analysis, create work plans, or prepare for case interviews. Apply hypothesis-driven approach to problem-solving.

sruthir28
sruthir28
191

design-doc-mermaid

Create Mermaid diagrams (activity, deployment, sequence, architecture) from text descriptions or source code. Use when asked to "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", or "convert code to diagram". Supports hierarchical on-demand guide loading, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.

SpillwaveSolutions
SpillwaveSolutions
196

goals-graph

Query and update Lee's goals graph through natural language. Translates conversational questions and updates into goals_query.py commands.

leegonzales
leegonzales
195

algo-sensei

Your personal DSA & LeetCode mentor. Use for problem explanations, progressive hints, code reviews, mock interviews, pattern recognition, complexity analysis, and custom problem generation. Automatically adapts to your learning style and request type.

karanb192
karanb192
195

api-integration-builder

Generates production-ready API clients with TypeScript types, retry logic, rate limiting, authentication (OAuth, API keys), error handling, and mock responses. Use when user says "integrate API", "API client", "connect to service", or requests third-party service integration.

Toowiredd
Toowiredd
19

context-manager

Manages permanent memory storage for decisions, blockers, context, preferences, and procedures. Use when user says "remember", "save this decision", "what did we decide", "recall", "search memories", "any blockers", or when making important architectural decisions. Provides SDAM compensation through external memory.

Toowiredd
Toowiredd
19

browser-app-creator

Creates complete single-file HTML/CSS/JS web apps with localStorage persistence, ADHD-optimized UI (60px+ buttons), dark mode, and offline functionality. Use when user says "create app", "build tool", "make dashboard", or requests any browser-based interface.

Toowiredd
Toowiredd
19

error-debugger

Analyzes errors, searches past solutions in memory, provides immediate fixes with code examples, and saves solutions for future reference. Use when user says "debug this", "fix this error", "why is this failing", or when error messages appear like TypeError, ECONNREFUSED, CORS, 404, 500, etc.

Toowiredd
Toowiredd
19

repository-analyzer

Analyzes codebases to generate comprehensive documentation including structure, languages, frameworks, dependencies, design patterns, and technical debt. Use when user says "analyze repository", "understand codebase", "document project", or when exploring unfamiliar code.

Toowiredd
Toowiredd
19

session-launcher

Restores full context when user says "hi-ai" or starts a new conversation. Searches project files, loads memory indexes, reads session state, and creates visual dashboard showing current project, recent decisions, active blockers, and quick actions. Use when user says "hi-ai", "continue", "restore context", or starts a fresh conversation.

Toowiredd
Toowiredd
19

testing-builder

Automatically generates comprehensive test suites (unit, integration, E2E) based on code and past testing patterns. Use when user says "write tests", "test this", "add coverage", or after fixing bugs to create regression tests. Eliminates testing friction for ADHD users.

Toowiredd
Toowiredd
19

rapid-prototyper

Creates minimal working prototypes for quick idea validation. Single-file when possible, includes test data, ready to demo immediately. Use when user says "prototype", "MVP", "proof of concept", "quick demo".

Toowiredd
Toowiredd
19

rust-webapp

Build full-stack web applications using Rust (Axum + SQLx) with HTMX + Alpine.js frontend and Neon (serverless PostgreSQL). Use when asked to create web apps, CRUD apps, dashboards, forms, or any stateful web application. Triggers on requests like "build a todo app", "create a voting app", "make a dashboard", "build a blog", etc.

arsenyinfo
arsenyinfo
19

seedream-image-generator

Generate images using the Doubao SeeDream API based on text prompts. Use this skill when users request AI-generated images, artwork, illustrations, or visual content creation. The skill handles API calls, downloads generated images to the project's /pic folder, and supports batch generation of up to 4 sequential images.

eze-is
eze-is
196

grey-haven-tdd-orchestration

Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Supports Claude Teams for parallel TDD workflows with plan approval gates, or falls back to sequential subagent coordination. Coordinates tdd-python, tdd-typescript, and test-generator agents. Use when implementing features with TDD workflow, coordinating multiple TDD agents, enforcing test-first development, orchestrating TDD teams, or when user mentions 'TDD workflow', 'test-first', 'TDD orchestration', 'multi-agent TDD', 'test coverage', or 'red-green-refactor'.

greyhaven-ai
greyhaven-ai
192

grey-haven-data-modeling

Design database schemas for Grey Haven multi-tenant SaaS - SQLModel models, Drizzle schema, multi-tenant isolation with tenant_id and RLS, timestamp fields, foreign keys, indexes, migrations, and relationships. Use when creating database tables.

greyhaven-ai
greyhaven-ai
192

grey-haven-tool-design

Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool interfaces, optimizing tool sets, or when user mentions 'tool design', 'MCP', 'fewer tools', 'tool consolidation', 'tool architecture', or 'tool optimization'.

greyhaven-ai
greyhaven-ai
192

grey-haven-evaluation

Evaluate LLM outputs with multi-dimensional rubrics, handle non-determinism, and implement LLM-as-judge patterns. Essential for production LLM systems. Use when testing prompts, validating outputs, comparing models, or when user mentions 'evaluation', 'testing LLM', 'rubric', 'LLM-as-judge', 'output quality', 'prompt testing', or 'model comparison'.

greyhaven-ai
greyhaven-ai
192

grey-haven-documentation-alignment

6-phase verification system ensuring code matches documentation with automated alignment scoring (signature, type, behavior, error, example checks). Reduces onboarding friction 40%. Use when verifying code-docs alignment, onboarding developers, after code changes, pre-release documentation checks, or when user mentions 'docs out of sync', 'documentation verification', 'code-docs alignment', 'docs accuracy', 'documentation drift', or 'verify documentation'.

greyhaven-ai
greyhaven-ai
192

grey-haven-tdd-python

Python Test-Driven Development expertise with pytest, strict red-green-refactor methodology, FastAPI testing patterns, and Pydantic model testing. Use when implementing Python features with TDD, writing pytest tests, testing FastAPI endpoints, developing with test-first approach, or when user mentions 'Python TDD', 'pytest', 'FastAPI testing', 'red-green-refactor', 'Python unit tests', 'test-driven Python', or 'Python test coverage'.

greyhaven-ai
greyhaven-ai
192

grey-haven-skill-creator

Guide for creating effective skills that extend Claude's capabilities. Use when users want to create a new skill, update an existing skill, or need guidance on skill structure and best practices. Triggers: 'create skill', 'new skill', 'skill template', 'build skill', 'skill structure', 'skill design'.

greyhaven-ai
greyhaven-ai
192

grey-haven-code-quality-analysis

Multi-mode code quality analysis covering security reviews (OWASP Top 10), clarity refactoring (readability rules), and synthesis analysis (cross-file issues). Supports team-mode parallel analysis when invoked from quality-pipeline. Use when reviewing code for security vulnerabilities, improving code readability, conducting quality audits, pre-deployment checks, or when user mentions 'code quality', 'code review', 'security review', 'refactoring', 'code smell', 'OWASP', 'code clarity', or 'quality audit'.

greyhaven-ai
greyhaven-ai
192

grey-haven-prompt-engineering

Master 26 documented prompt engineering principles for crafting effective LLM prompts with 400%+ quality improvement. Includes templates, anti-patterns, and quality checklists for technical, learning, creative, and research tasks. Use when writing prompts for LLMs, improving AI response quality, training on prompting, designing agent instructions, or when user mentions 'prompt engineering', 'better prompts', 'LLM quality', 'prompt templates', 'AI prompts', 'prompt principles', or 'prompt optimization'.

greyhaven-ai
greyhaven-ai
192

grey-haven-tdd-typescript

TypeScript/JavaScript Test-Driven Development with Vitest, strict red-green-refactor methodology, React component testing, and comprehensive coverage patterns. Use when implementing TypeScript features with TDD, writing Vitest tests, testing React components, developing with test-first approach, or when user mentions 'TypeScript TDD', 'Vitest', 'React testing', 'JavaScript TDD', 'red-green-refactor', 'TypeScript unit tests', or 'test-driven TypeScript'.

greyhaven-ai
greyhaven-ai
192

grey-haven-project-scaffolding

Generate production-ready project scaffolds for Grey Haven stack with Cloudflare Workers, React + TypeScript, Python + Pydantic, PlanetScale, proper structure, and configuration. Use when starting new projects, creating microservices, setting up monorepo workspaces, initializing projects, or when user mentions 'new project', 'project scaffold', 'project template', 'project setup', 'bootstrap project', 'project starter', or 'initialize project'.

greyhaven-ai
greyhaven-ai
192

grey-haven-performance-optimization

Comprehensive performance analysis and optimization for algorithms (O(n²)→O(n)), databases (N+1 queries, indexes), React (memoization, virtual lists), bundles (code splitting), API caching, and memory leaks. 85%+ improvement rate. Use when application is slow, response times exceed SLA, high CPU/memory usage, performance budgets needed, or when user mentions 'performance', 'slow', 'optimization', 'bottleneck', 'speed up', 'latency', 'memory leak', or 'performance tuning'.

greyhaven-ai
greyhaven-ai
192

grey-haven-llm-project-development

Build LLM-powered applications and pipelines using proven methodology - task-model fit analysis, pipeline architecture, structured outputs, file-based state, and cost estimation. Use when building AI features, data processing pipelines, agents, or any LLM-integrated system. Inspired by Karpathy's methodology and production case studies.

greyhaven-ai
greyhaven-ai
192

grey-haven-creative-writing

Professional writing assistance for blogs, research articles, fiction, essays, and marketing copy. Use when users want to write, edit, or improve any form of written content. Triggers: 'write a blog', 'write an article', 'help me write', 'write a story', 'write a chapter', 'draft an essay', 'creative writing', 'improve my writing', 'edit my writing', 'write copy', 'content writing'.

greyhaven-ai
greyhaven-ai
192

grey-haven-data-validation

Comprehensive data validation using Pydantic v2 with data quality monitoring and schema alignment for PlanetScale PostgreSQL. Use when implementing API validation, database schema alignment, or data quality assurance. Triggers: 'validation', 'Pydantic', 'schema', 'data quality'.

greyhaven-ai
greyhaven-ai
192

grey-haven-database-conventions

Apply Grey Haven database conventions - snake_case fields, multi-tenant with tenant_id and RLS, proper indexing, migrations for Drizzle (TypeScript) and SQLModel (Python). Use when designing schemas, writing database code, creating migrations, setting up RLS policies, or when user mentions 'database', 'schema', 'Drizzle', 'SQLModel', 'migration', 'RLS', 'tenant_id', 'snake_case', 'indexes', or 'foreign keys'.

greyhaven-ai
greyhaven-ai
192

grey-haven-api-design

Design RESTful APIs following Grey Haven standards - FastAPI routes, Pydantic schemas, HTTP status codes, pagination, filtering, error responses, OpenAPI docs, and multi-tenant patterns. Use when creating API endpoints, designing REST resources, implementing server functions, configuring FastAPI, writing Pydantic schemas, setting up error handling, implementing pagination, or when user mentions 'API', 'endpoint', 'REST', 'FastAPI', 'Pydantic', 'server function', 'OpenAPI', 'pagination', 'validation', 'error handling', 'rate limiting', 'CORS', or 'authentication'.

greyhaven-ai
greyhaven-ai
192

Page 810 of 1486 · 74266 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.