mamba-architecture
State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.
rwkv-architecture
RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.
context-optimization
This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
Cloudflare Manager
Comprehensive Cloudflare account management for deploying Workers, KV Storage, R2, Pages, DNS, and Routes. Use when deploying Cloudflare services, managing worker containers, configuring KV/R2 storage, or setting up DNS and routing. Requires CLOUDFLARE_API_KEY in .env and the Bun runtime with dependencies installed.
cloudflare
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.
kcli-configuration
Guides kcli configuration and provider setup. Use when setting up ~/.kcli/config.yml, configuring providers (KVM, AWS, GCP, Azure, etc.), or managing profiles.
cloudflare-kv
Store key-value data globally with Cloudflare KV's edge network. Use when: caching API responses, storing configuration, managing user preferences, handling TTL expiration, or troubleshooting KV_ERROR, 429 rate limits, eventual consistency, cacheTtl errors, wrangler types issues, or remote binding configuration.
tanstack-start
Build full-stack React apps with TanStack Start on Cloudflare Workers. Type-safe routing, server functions, SSR/streaming, D1/KV/R2 integration. Use when building full-stack React apps with SSR, migrating from Next.js, or from Vinxi to Vite (v1.121.0+). Prevents 9 documented errors including middleware bugs, file upload limitations, and deployment config issues.
vercel-kv
Integrate Redis-compatible Vercel KV for caching, session management, and rate limiting in Next.js. Powered by Upstash with strong consistency and TTL support. Use when implementing cache strategies, rate limiters, or troubleshooting environment variables, serialization errors, rate limit issues, scanIterator hangs, or Next.js cache stale reads.
nuxthub
Use when building NuxtHub v0.10.6 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.
coreml
Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models, KV-cache, multi-function models, MLTensor.
axiom-ios-ml
Use when deploying ANY machine learning model on-device, converting models to CoreML, compressing models, or implementing speech-to-text. Covers CoreML conversion, MLTensor, model compression (quantization/palettization/pruning), stateful models, KV-cache, multi-function models, async prediction, SpeechAnalyzer, SpeechTranscriber.
cloudflare
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.
wrangler
Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices.
context-optimization
This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
caching-strategies
Dual-layer caching strategies for the Flare Stack Blog. Use when implementing CDN cache headers, KV caching with versioned invalidation, or debugging cache-related issues.
cloudflare
Infrastructure operations for Cloudflare: Workers, KV, R2, D1, Hyperdrive, observability, builds, audit logs. Triggers: worker/KV/R2/D1/logs/build/deploy/audit. Three permission tiers: Diagnose (read-only), Change (write requires confirmation), Super Admin (isolated environment). Write operations follow read-first, confirm, execute, verify pattern. MCP is optional — works with Wrangler CLI/Dashboard too.
mcp-cloudflare
Manage Workers/KV/R2/D1/Hyperdrive via Cloudflare MCP, perform observability/build troubleshooting/audit/container sandbox operations. Triggers: worker/KV/R2/D1/logs/build/deploy/screenshot/audit/sandbox. Three permission tiers: Diagnose (read-only), Change (write requires confirmation), Super Admin (isolated environment). Write operations must follow read-first, user confirmation, post-execution verification.
upstash-redis-kv
Read and write to Upstash Redis-compatible key-value store via REST API. Use when there is a need to save or retrieve key-value data, use Redis features (caching, counters, lists, sets, hashes, sorted sets, etc.) for the current interaction, or when the user explicitly asks to use Upstash or Redis.
cloudflare
Guide for building applications on Cloudflare's edge platform. Use when implementing serverless functions (Workers), edge databases (D1), storage (R2, KV), real-time apps (Durable Objects), AI features (Workers AI, AI Gateway), static sites (Pages), or any edge computing solutions.
perf-prof
Analyze Linux system issues with perf-prof. perf-prof is a system-level analysis tool built on perf_event; events are processed in memory in real time and it can run for long periods with low overhead. Typical trigger scenarios: (1) high CPU usage and hotspot analysis (2) abnormal process states (many D/S states) (3) latency jitter or slow responses (4) memory leaks or abnormal growth (5) slow block device I/O (6) virtual machine performance issues (7) event aggregation and statistics (8) custom script analysis. Core analyzers: profile (CPU sampling), task-state (process state analysis), multi-trace (latency analysis), kmemleak (memory leak detection), blktrace (I/O latency), top/sql (aggregation/statistics), kvm-exit (virtualization exits), rundelay (scheduling delay), syscalls (system call timing), python (custom script analysis). Suitable for performance debugging, kernel/application development and debugging, and learning or understanding Linux kernel mechanisms (scheduling, memory, I/O, interrupts, etc.).
cloudflare
Build and deploy on Cloudflare's edge platform. Use when creating Workers, Pages, D1 databases, R2 storage, AI inference, or KV storage. Triggers on Cloudflare, Workers, Cloudflare Pages, D1, R2, KV, Cloudflare AI, Durable Objects, edge computing.
cloudflare-manager
Comprehensive Cloudflare account management for deploying Workers, KV Storage, R2, Pages, DNS, and Routes. Use when deploying cloudflare services, managing worker containers, configuring KV/R2 storage, or setting up DNS/routing. Requires CLOUDFLARE_API_KEY in .env and Bun runtime with dependencies installed.
kv-store-grpc
Guidance for building gRPC-based key-value store services in Python. This skill should be used when tasks involve creating gRPC servers, defining protocol buffer schemas, or implementing key-value storage APIs with gRPC. Covers proto file creation, code generation, server implementation, and verification strategies.
qemu-startup
This skill provides guidance for starting QEMU virtual machines with proper serial console access, process management, and boot verification. It should be used when tasks involve launching QEMU VMs, configuring serial/telnet console access, or managing VM lifecycle. Covers common pitfalls around KVM availability, port conflicts, process hierarchy, and boot readiness detection.
devops
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
wrangler
Deploy and manage Cloudflare Workers, Pages, KV, R2, D1, and other Cloudflare services using the `wrangler` CLI.
cloudflare-worker-dev
Cloudflare Workers, KV, Durable Objects, and edge computing development. Use for serverless APIs, caching, rate limiting, real-time features. Activate on "Workers", "KV", "Durable Objects", "wrangler", "edge function", "Cloudflare". NOT for Cloudflare Pages configuration (use deployment docs), DNS management, or general CDN settings.
pikvm
Remote KVM control via PiKVM REST API. Use for controlling remote computers through PiKVM - taking screenshots, moving mouse, clicking, typing text, pressing keys, keyboard shortcuts, scrolling, or power management.
nuxthub
Use when building NuxtHub v0.10.4 applications - provides database (Drizzle ORM with sqlite/postgresql/mysql), KV storage, blob storage, and cache APIs. Covers configuration, schema definition, migrations, multi-cloud deployment (Cloudflare, Vercel), and the new hub:db, hub:kv, hub:blob virtual module imports.
cloudflare-expert
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use PROACTIVELY for any Cloudflare development task.
gcs-miljo-data
Activates when querying environmental data from GCS. Use this skill for: pesticides, nitrogen leaching, BNBO drinking water protection, wetlands, soil types, environmental compliance, biodiversity. Keywords: miljø, environment, pesticide, pesticid, nitrogen, kvælstof, BNBO, wetlands, vådomr, soil, jord, biodiversity
Wrangler Coder
This skill guides Cloudflare Workers and Pages development with the Wrangler CLI. Use it when creating Workers, configuring D1 databases, R2 storage, KV namespaces, Queues, or deploying to Cloudflare Pages.
cloudflare-worker
Build edge-first TypeScript applications on Cloudflare Workers. Covers the Workers API, the Hono framework, KV/D1/R2 storage, Durable Objects, Queues, and testing patterns. Use when creating serverless workers, edge functions, or services deployed to Cloudflare.
typescript-mcp
Build stateless Model Context Protocol (MCP) servers with TypeScript on Cloudflare Workers using the official @modelcontextprotocol/sdk. Provides patterns for tools, resources, prompts, and authentication (API keys, OAuth, Zero Trust). Use this when exposing APIs to LLMs, integrating Cloudflare services (D1, KV, R2, Vectorize), or troubleshooting common issues like export syntax errors, unclosed transport leaks, or CORS misconfigurations.
cloudflare-kv
Store key-value data globally with Cloudflare KV's edge network. Use when: caching API responses, storing configuration, managing user preferences, handling TTL expiration, or troubleshooting KV_ERROR, 429 rate limits, eventual consistency, or cacheTtl errors.
TanStack Start
Build full-stack React applications with TanStack Start on Cloudflare Workers. Type-safe routing, server functions, SSR/streaming, and seamless D1/KV/R2 integration. Use when: building full-stack React apps, need SSR with Cloudflare Workers, want type-safe server functions, or migrating from Next.js. RC status - v1.0 stable pending. Monitor tanstack/router#5734 (memory leak) before production use.
vercel-kv
Integrate Redis-compatible Vercel KV for caching, session management, and rate limiting in Next.js applications. Powered by Upstash with strong consistency and TTL support. Use when implementing cache strategies, storing temporary data with expiration, building rate limiters, or troubleshooting missing environment variables, serialization errors, or rate limit issues.
cloudflare-development
Cloudflare Workers, Pages, KV, D1, R2, and Durable Objects development best practices for edge computing applications.
openstack-nova
OpenStack Nova compute service skill for deploying, configuring, operating, and troubleshooting cloud compute infrastructure. Covers instance lifecycle management (create/stop/start/reboot/resize/migrate/evacuate), compute scheduling with filters and weights, flavor management, live migration procedures, hypervisor management (KVM/QEMU via libvirt), placement service for resource tracking, CPU pinning, NUMA topology, huge pages, cell mapping, VNC/SPICE console access, and capacity planning. Use when deploying compute via Kolla-Ansible, managing instances, debugging scheduler failures, or planning compute capacity.
vllm-async-loading-debug
Debug vLLM async KV loading and PegaFlow connector behavior. Use when investigating async KV loads, WAITING_FOR_REMOTE_KVS states, load/save intents, connector metadata flow, prefetch behavior, or preemption interactions in vLLM scheduler/worker code.
cloudflare
Self-contained deploy automation — invoke directly, do not decompose. Deploys a Vibes app to Cloudflare Workers with subdomain registry. Uses KV for storage and native Web Crypto for JWT verification.
hono-cloudflare
Hono on Cloudflare Workers - bindings, KV, D1, R2, Durable Objects, and edge deployment patterns
publish-review
Run a comprehensive review of the Queuert library before publishing, launching 7 parallel agents to check documentation coherence, API design, implementation verification, feature completeness, API consistency, schema design, and code style. Use when preparing to publish or validating publish readiness.
flaky-tests
Identify flaky tests by running tests multiple times and analyzing intermittent failures. Use when investigating test reliability.
commit-message
Generate a conventional commit message from staged changes. Analyzes changes to determine affected packages and appropriate commit type, then outputs a properly formatted commit message.
code-review
Run a comprehensive code review of local changes, analyzing staged and unstaged changes to provide insights, identify issues, and suggest alternative approaches. Use when reviewing code before committing or creating pull requests.
docs-check
Check if documentation is up to date with code changes. Analyzes git changes and identifies documentation that may need updating, comparing code modifications against design docs and package READMEs.