DevOps & Infra

zuoguyoupan2023 Skill

Azure Key Vault Secrets library for Rust. Store and retrieve secrets, passwords, and API keys. Triggers: "keyvault secrets rust", "SecretClient rust", "get secret rust", "set secret rust", "list secrets rust".

zuoguyoupan2023 Skill

Azure Key Vault Keys library for Rust. Create, manage, and use cryptographic keys including RSA, EC, and HSM-protected keys. Triggers: "keyvault keys rust", "KeyClient rust", "create key rust", "encrypt rust", "wrap key rust", "sign rust".

zuoguyoupan2023 Skill

Azure Key Vault Certificates library for Rust. Create, manage, and use X.509 certificates including self-signed and CA-issued. Triggers: "keyvault certificates rust", "CertificateClient rust", "create certificate rust", "self-signed certificate rust", "X.509 rust".

zuoguyoupan2023 Skill

25 advanced engineering agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, release management, platform ops.

zuoguyoupan2023 Skill

Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.

zuoguyoupan2023 Skill

Document extraction pipeline architecture and patterns

zuoguyoupan2023 Bundle

Migrate Databricks workloads from classic compute to serverless compute. Use when migrating from classic to serverless, checking serverless code compatibility, or writing new serverless-compatible notebooks and jobs. Scans code for compatibility issues, provides concrete fixes for the serverless Spark Connect architecture, and guides the full migration. Not for classic DBR version upgrades or cluster configuration changes within classic compute.

zuoguyoupan2023 Skill

Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.

zuoguyoupan2023 Skill

Generates HyperExecute YAML configurations for blazing-fast test orchestration on LambdaTest's TestMu AI cloud. Framework-agnostic — works with any test framework. Use when user mentions "HyperExecute", "fast test execution", "test orchestration", "hyperexecute.yaml". Triggers on: "HyperExecute", "hyperexecute.yaml", "test orchestration", "HE", "fast parallel tests".

erictechpro Bundle

Scan all unresolved Sentry errors, group by root cause, fix in batch with TDD, and resolve in Sentry after deploy. Use when the user says 'fix sentry errors', 'scan sentry', 'resolve sentry issues', 'fix all errors', 'sentry cleanup', or wants to proactively fix production errors from Sentry monitoring.

erictechpro Bundle

Automate the full Jira bug-fix pipeline end-to-end. Use when the user says 'fix ticket', 'fix PROJ-123', 'fix this bug', 'resolve PROJ-XXX', 'fix and ship this ticket', or passes a Jira ticket ID for autonomous bug resolution. Reads the Jira ticket, implements the fix, reviews it, commits, moves the ticket to QA, assigns to QA engineer, and comments with a summary. Also use when the user wants to automate the fix-review-commit-handoff cycle for any Jira bug ticket.

erictechpro Bundle

This skill should be used when the user asks to "develop a feature", "implement a ticket", "build PROJ-123", "run the development pipeline", "develop this ticket end to end", or wants fully autonomous feature implementation with parallel research agents, planning, phased implementation, review, and PR creation. Zero checkpoints; pauses only on blockers.

zuoguyoupan2023 Bundle

Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Covers provisioner timing races, SSH connection conflicts, DNS record duplication, volume permissions, database bootstrap gaps, snapshot cross-contamination, Cloudflare credential format errors, hardcoded domains in Caddyfiles/compose, and init-data-only-on-first-boot pitfalls. Activate when writing null_resource provisioners, creating multi-environment Terraform setups, debugging containers that are Restarting/unhealthy after terraform apply, setting up fresh instances with cloud-init, or any IaC code that SSHs into remote hosts. Also activate when the user mentions terraform plan/apply errors, provisioner failures, infrastructure drift, TLS certificate errors, or Caddy/gateway configuration.

zuoguyoupan2023 Skill

End-to-end conference talk pipeline: paper → slide outline → Beamer + PPTX → per-page polish → assurance checks (claim / citation / anonymity) → final export and report. Default-good for academic conference talks (NeurIPS / ICML / ICLR / VALSE / 投稿 talks). Trigger phrases: "做 talk", "做 PPT 全流程", "talk pipeline", "end-to-end slides", "做演讲", "conference talk full workflow". Use when the user wants the complete talk artifact, not just a slide deck.

wenyi-li Bundle

Write, debug, and optimize CUTLASS and CuTeDSL GPU kernels using local source code, examples, and header references. Use when the user mentions CUTLASS, CuTe, CuTeDSL, cute::Layout, cute::Tensor, TiledMMA, TiledCopy, CollectiveMainloop, CollectiveEpilogue, GEMM kernel, grouped GEMM, sparse GEMM, flash attention CUTLASS, blackwell GEMM, hopper GEMM, FP8 GEMM, FP4 GEMM, blockwise scaling, MoE GEMM, StreamK, warp specialization CUTLASS, TMA CUTLASS, epilogue fusion, EVT (Epilogue Visitor Tree), pycute, Layout algebra, Swizzle pattern, GemmUniversal, KernelSchedule, EpilogueSchedule, CUTLASS collective builder, CUTLASS pipeline, or asks about writing high-performance CUDA kernels with CUTLASS/CuTe templates. Also use when the user wants to understand CUTLASS source code structure, compile CUTLASS examples, or debug CUTLASS template errors.

zuoguyoupan2023 Bundle

Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and SQL warehouses.

wenyi-li Bundle

CUDA kernel development, debugging, performance optimization, linear algebra, and multi-GPU communication for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, parallel algorithms, or CUDA library calls. Covers cuBLAS/cuBLASLt GEMM operations, CUDA Math API (half, bfloat16, FP8, FP6, FP4), NCCL multi-GPU collectives, 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, cuBLAS, cublasLtMatmul, GEMM, GemmEx, FP8, bfloat16, half precision, __half, __nv_bfloat16, cublasGemmEx, cublasGemmStridedBatchedEx, NCCL, ncclAllReduce, ncclReduceScatter, ncclAllGather, ncclCommInitRank, tensor parallel, pipeline parallel, all-reduce, vLLM CUDA kernels.

wenyi-li Bundle

Port NVIDIA CUDA codebases to AMD ROCm GPUs. Use when making PyTorch models run on AMD GPUs, replacing NVIDIA-specific libraries with AMD equivalents, fixing ROCm build/runtime failures, or porting C/C++ CUDA kernels to HIP. Also covers dependency debugging and environment setup on ROCm Docker images.

wenyi-li Skill

Performance optimization coordination playbook. Contains specialist routing table, TileIR two-step pipeline, kernel generation specialist selection, prioritization criteria, and safe modification workflow. Use when the user asks to apply optimizations, write kernels, or improve performance. Covers both user-specified optimization and autopilot-driven iterative optimization.

wenyi-li Bundle

How to optimize TileLang GPU kernels for better performance. Use this skill whenever the user has a working TileLang kernel that is too slow, wants to tune tile sizes or pipeline stages, needs to improve TFLOPS or bandwidth utilization, wants to use the AutoTuner, or asks questions like "how do I make my kernel faster", "what tile sizes should I use", "how do I autotune", or "why is my kernel slower than cuBLAS". Also trigger when the user mentions block sizes, num_stages, threads per block, shared memory pressure, occupancy, swizzle, vectorization, split-K, or any performance tuning in TileLang context. Even for vague requests like "improve performance" or "speed up this kernel" when TileLang is involved.

wenyi-li Bundle

Use torch.profiler as a lightweight, always-available alternative to Nsight Compute/Systems for profiling, debugging, and optimizing TileLang GPU kernels. Trigger this skill whenever the user wants to profile a TileLang kernel without installing ncu/nsys, get an operator/kernel breakdown of a forward pass that includes TileLang custom ops, hunt launch-overhead in a multi-kernel pipeline, classify whether a TileLang kernel is IO-bound / CUDA-core bound / Tensor-core bound, generate a Chrome trace, profile GPU memory allocations, or compare a TileLang kernel against a torch/cuBLAS reference inside one trace. Also trigger on phrases like "profile this kernel", "why is this slow", "how do I see the kernel timeline", "lightweight profiling", "torch profiler", "chrome trace", or "perfetto", even if the user does not mention TileLang explicitly but TileLang code is on the table.

wenyi-li Skill

This skill should be used when optimizing PyTorch models and kernels, including efficient tensor operations, torch.compile, custom autograd/CUDA/Triton extensions, mixed precision, memory and data pipeline tuning, model optimization techniques, CUDA graphs, and profiling.

bodymobarez Bundle

Master hub for DevOps, infra & deployment. Use for Docker, Kubernetes, Terraform, CI/CD, Cloudflare, and deployment. Bundles 20 specialized skills (in skills/<name>/GUIDE.md). Use this for any devops task.

bodymobarez Bundle

Master hub for Backend, APIs & data. Use for backend, REST/GraphQL APIs, auth, MFA, databases, payments, webhooks (integrations-pro patterns), QR/GS1, Google Sign-In, GPS & GIS. For GitHub, Slack, CRM, cloud, iPaaS and 80+ SaaS integrations use integrations-master. Bundles 19 skills.

bodymobarez Bundle

Master hub for integrating with the world's SaaS, dev tools, clouds, and APIs — at staff/principal depth. Includes Cloudixia full integrations ecosystem (17 modules, marketplace, certified apps). GitHub/GitLab, OAuth 2.1 + PKCE, webhooks, CI/CD, AWS/GCP/Azure, Slack, CRM, Zapier/n8n, CDC. Stripe → payments-master. Bundles 17 skills. Start with integrations-architecture-foundation.

bodymobarez Bundle

Master hub for professional cybersecurity — protect websites & apps from hackers and build a strong security program. Use for threat modeling (STRIDE), OWASP Top 10 secure coding, web hardening (CSP, HSTS, TLS, cookies, CORS), auth/session/account-takeover defense, secrets & software-supply-chain security (SCA/SBOM/signing), cloud & network security (IAM least-privilege, zero-trust, mTLS), penetration testing & vulnerability management (Burp/ZAP/semgrep/nuclei, SAST/DAST), DDoS/WAF/bot protection, and security operations (logging/SIEM, incident response, SOC2/ISO/PCI/GDPR). Bundles 9 specialized skills (in skills/<name>/GUIDE.md). Use for any security/hardening/pentest task.

bodymobarez Bundle

Master hub for Communications — real-time chat, WhatsApp, voice/SMS, push, support/helpdesk, omnichannel AI inbox, and advanced email. Use to build production WebSocket/SSE chat, WhatsApp Business (Cloud API), SMS/voice (Twilio, A2P 10DLC), cross-platform push (Web Push/FCM v1/APNs), a Zendesk-grade helpdesk (tickets/SLA/CSAT), an omnichannel inbox with a RAG chatbot + human handoff, and advanced email (deliverability SPF/DKIM/DMARC, inbound parse, two-way sync, email-to-ticket). Bundles 7 specialized skills (in skills/<name>/GUIDE.md). Use for any chat, messaging, voice, push, support, or email task.

bodymobarez Bundle

Master hub for professional backend systems & platform setup end-to-end. Use to set up, model, secure, and operate data + infra platforms: MongoDB/Atlas (full schema, aggregation, indexing, admin), Supabase (Postgres/Auth/RLS/Storage/Edge/Realtime), Neon serverless Postgres, Cloudflare (Workers/Pages/R2/D1/KV/DO/DNS/WAF), Postman/Newman API tooling, and complete email servers (self-hosted Postfix/Dovecot or managed SES/Postmark/Resend + SPF/DKIM/DMARC + deliverability). Bundles 8 specialized skills (in skills/<name>/GUIDE.md). Use for any platform/DB/infra/email setup.

danielvik Bundle

12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.

mark1017520 Bundle

Use for SDK/API/cloud/model/vendor contracts, DPA, SLA, data processing roles, subcontracting, IP ownership, audit, security, procurement compliance.

danielvik Bundle

Orchestrator for the full academic research pipeline: research to write to integrity check to review to revise to re-review to re-revise to final integrity check to finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.

jshearin01 Bundle

Expert LLM workflow and agent platform architect skill for designing scalable, production-grade agentic AI systems using API-based LLMs. Use this skill whenever you are designing, building, or reviewing any LLM agent system, workflow platform, or multi-agent architecture. Trigger on requests involving agent system design, multi-agent coordination, orchestrator/worker patterns, RAG pipeline architecture, tool/function calling design, agent memory and state management, LLM observability and evaluation pipelines, context window management, agentic workflow decomposition, or any system where LLMs call other LLMs. Also trigger when asked to build a copilot, assistant, agent, pipeline, or workflow of any kind. This skill encodes 2025-era best practices distilled from Anthropic, OpenAI, Microsoft, AWS, and Google engineering teams.

omgutty Skill

Modern cloud-scale load testing using Artillery.io for HTTP, WebSocket, Socket.io, and custom protocol testing with YAML-based test definitions.

alexpeclub Skill

Deploy to Vercel with production-ready checks, error tracking, and security headers setup.

danielvik Bundle

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.

jeremiahchurch Bundle

WSL (Windows Subsystem for Linux) path conversion, file access, and interoperability patterns for Claude Code running inside WSL. Use this skill whenever working in a WSL environment and dealing with file paths (converting between Windows and WSL formats), opening files in Windows applications from WSL, SSH agent forwarding (1Password, GPG) via Windows-side executables, clipboard operations, filesystem quirks (sed -i failures on mounted filesystems, CRLF line endings, /mnt/ permission issues), or any Windows-Linux interop task. Trigger when providing file path references the user might want to click or open in Windows, when receiving Windows-formatted paths (C:\, \\wsl$\, \\wsl.localhost\) that need WSL conversion, when the user pastes a screenshot or image with a Windows temp path, or when troubleshooting WSL-specific issues like network access, Docker Desktop integration, or interop executable usage (.exe from WSL). Even if the user doesn't mention "WSL" explicitly, trigger whenever the environment is WSL a