tonone
claude23-agent engineering + product team with 125 skills for Claude Code
49 skills · 100 agents · hooks
Complete Vercel integration skill pack with 30 skills covering deployments, edge functions, preview environments, performance optimization, and production operations. Flagship+ tier vendor pack.
Plugin vercel-pack from marketplace claude-code-plugins-plus in jeremylongshore/tons-of-skills-marketplace. Commands read from the repo's manifest — 6 days ago.
vercel-advanced-troubleshootingAdvanced debugging for hard-to-diagnose Vercel issues including cold
vercel-architecture-variantsChoose and implement Vercel architecture blueprints for different scales
vercel-ci-integrationConfigure Vercel CI/CD with GitHub Actions, preview deployments, and
vercel-common-errorsDiagnose and fix common Vercel deployment and function errors.
vercel-cost-tuningOptimize Vercel costs through plan selection, function efficiency, and
vercel-data-handlingImplement data handling, PII protection, and GDPR/CCPA compliance for
vercel-debug-bundleCollect Vercel debug evidence for support tickets and troubleshooting.
vercel-deploy-integrationDeploy and manage Vercel production deployments with promotion, rollback,
vercel-deploy-previewCreate and manage Vercel preview deployments for branches and pull requests.
vercel-edge-functionsBuild and deploy Vercel Edge Functions for ultra-low latency at the
vercel-enterprise-rbacConfigure Vercel enterprise RBAC, access groups, SSO integration, and
vercel-hello-worldCreate a minimal working Vercel deployment with a serverless API route.
vercel-incident-runbookVercel incident response procedures with triage, instant rollback, and
vercel-install-authInstall Vercel CLI and configure API token authentication.
vercel-known-pitfallsIdentify and avoid Vercel anti-patterns and common integration mistakes.
vercel-load-scaleLoad test and scale Vercel deployments with concurrency tuning and capacity
vercel-local-dev-loopConfigure Vercel local development with vercel dev, environment variables,
vercel-migration-deep-diveMigrate to Vercel from other platforms or re-architecture existing Vercel
vercel-multi-env-setupConfigure Vercel across development, preview, and production environments
vercel-observabilitySet up Vercel observability with runtime logs, analytics, log drains,
vercel-performance-tuningOptimize Vercel deployment performance with caching, bundle optimization,
vercel-policy-guardrailsImplement lint rules, CI policy checks, and automated guardrails for
vercel-prod-checklistVercel production deployment checklist with rollback and promotion procedures.
vercel-rate-limitsHandle Vercel API rate limits, implement retry logic, and configure
vercel-reference-architectureImplement a Vercel reference architecture with layered project structure
vercel-reliability-patternsImplement reliability patterns for Vercel deployments including circuit
vercel-sdk-patternsProduction-ready Vercel REST API patterns with typed fetch wrappers
vercel-security-basicsApply Vercel security best practices for secrets, headers, and access
vercel-upgrade-migrationUpgrade Vercel CLI, Node.js runtime, and Next.js framework versions
vercel-webhooks-eventsImplement Vercel webhook handling with signature verification and event
23-agent engineering + product team with 125 skills for Claude Code
49 skills · 100 agents · hooks
Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.
51 agents
Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a deep run, and persistent per-project memory that lives in your repo and never leaves it. Runs on whatever model your session already uses — zero config, no API keys, no daemon. Works across Claude Code, Codex App/CLI, OpenCode, Grok, Antigravity, and Cursor.
18 skills · 23 agents · hooks
Claude Code skill pack for Shopify (38 skills covering e-commerce development, storefront APIs, and app integration)
38 skills
LangChain 1.0 + LangGraph 1.0 skill pack for Python. Pain-first skills anchored to a 68-entry pain catalog covering content blocks, streaming token accounting, structured-output, vector stores, checkpointing, HITL, middleware, Deep Agents, and native OTEL. Includes 33 skills across four epics.
33 skills
Claude Code skill pack for building with the Claude API and Anthropic SDK.
32 skills
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.
44 skills · 1 MCP server
CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
4 skills · 1 command · 5 agents
Build, manage, and deploy Wix sites and apps. Includes CLI development skills and Wix MCP server for site management, eCommerce, CMS, dashboard extensions, and more.
37 skills · 1 MCP server
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
6 skills · 8 commands · 4 agents · hooks
DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE
Production LLM inference including vLLM, TensorRT-LLM, llama.cpp, and SGLang. Use when deploying models for production inference.
98 skills
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.