Extract and analyze writing improvements from GitHub PR review comments. Use when asked to show review feedback, style changes, or editorial improvements from a GitHub pull request URL. Handles both explicit suggestions and plain text feedback. Produces structured output comparing original phrasing with reviewer suggestions to help refine future writing.
collection.insert, collection.update (Immer-style draft proxy), collection.delete. createOptimisticAction (onMutate + mutationFn). createPacedMutations with debounceStrategy, throttleStrategy, queueStrategy. createTransaction, getActiveTransaction, ambient transaction context. Transaction lifecycle (pending/persisting/completed/failed). Mutation merging. onInsert/onUpdate/onDelete handlers. PendingMutation type. Transaction.isPersisted.
TanStack DB core concepts: createCollection with queryCollectionOptions, electricCollectionOptions, powerSyncCollectionOptions, rxdbCollectionOptions, trailbaseCollectionOptions, localOnlyCollectionOptions. Live queries via query builder (from, where, join, select, groupBy, orderBy, limit). Optimistic mutations with draft proxy (collection.insert, collection.update, collection.delete). createOptimisticAction, createTransaction, createPacedMutations. Entry point for all TanStack DB skills.
Creating typed collections with createCollection. Adapter selection: queryCollectionOptions (REST/TanStack Query), electricCollectionOptions (ElectricSQL real-time sync), powerSyncCollectionOptions (PowerSync SQLite), rxdbCollectionOptions (RxDB), trailbaseCollectionOptions (TrailBase), localOnlyCollectionOptions, localStorageCollectionOptions. CollectionConfig options: getKey, schema, sync, gcTime, autoIndex (default off), defaultIndexType, syncMode (eager/on-demand, plus progressive for Electric). StandardSchema validation with Zod/Valibot/ArkType. Collection lifecycle (idle/loading/ready/error). Adapter-specific sync patterns including Electric txid tracking, Query direct writes, and PowerSync query-driven sync with onLoad/onLoadSubset hooks.
Offline transaction support for TanStack DB. OfflineExecutor orchestrates persistent outbox (IndexedDB/localStorage), leader election (WebLocks/ BroadcastChannel), retry with backoff, and connectivity detection. createOfflineTransaction/createOfflineAction wrap TanStack DB primitives with offline persistence. Idempotency keys for at-least-once delivery. Graceful degradation to online-only mode when storage unavailable. React Native support via separate entry point.
SolidJS bindings for TanStack DB. useLiveQuery returns an Accessor that doubles as data access (call as function) with state/status properties. Fine-grained reactivity: signal reads MUST happen inside the query function for tracking. Config passed as Accessor (() => config). Built-in Suspense support via createResource. ReactiveMap for state. Import from @tanstack/solid-db (re-exports all of @tanstack/db).
Integrating TanStack DB with meta-frameworks (TanStack Start, Next.js, Remix, Nuxt, SvelteKit). Client-side only: SSR is NOT supported — routes must disable SSR. Preloading collections in route loaders with collection.preload(). Pattern: ssr: false + await collection.preload() in loader. Multiple collection preloading with Promise.all. Framework-specific loader APIs.
Install and configure EverOS for OpenClaw natural-language memory. Use when users say: - "install everos" - "setup everos" - "install everos plugin" - "enable everos memory" - "remember my preferences in OpenClaw"
Builds and maintains native Rust/C bindings and FFI layers that connect router-side classifiers and signal evaluation to compiled model runtimes. Use when adding or modifying native model bindings, updating FFI interfaces, or changing how the router calls into compiled classifier code.
Maintains matched-decision predicates, looper policy, and candidate-model selection behavior after signal extraction. Use when the task changes decision trees, thresholds, downstream model ranking, or other routing policy that runs after signals are already produced.
Modifies training-stack workflows, selector or embedding pipelines, evaluation artifacts, or runtime-facing outputs under src/training. Use when changing model selection training, embedding pipelines, evaluation scripts, experiments, or other training outputs that feed runtime behavior.
Modifies training-stack workflows, selector or embedding pipelines, evaluation scripts, and runtime-facing artifact expectations. Use when a primary skill touches src/training, tools/make/models.mk, or training docs for runtime-fed artifacts.
Runs an explicit structural review for boundary-sensitive edits that need dependency, module, and structure-rule scrutiny without forcing that material into every default context pack. Use when a task crosses hotspot boundaries, adds new seams, or needs a deliberate architecture pass.
Builds Docker images, starts local servers, and runs smoke tests for the AMD/ROCm development environment. Use when validating changes locally on AMD hardware, building AMD container images, or running AMD-specific smoke and explicit runtime checks.
Builds Docker images, starts local servers, and runs smoke tests for the CPU-only development environment. Use when validating changes locally on CPU, building CPU container images, or running CPU-specific smoke and E2E tests.
Modifies the fleet simulator package, API service, release wiring, or simulator-owned docs and assets as one maintained subsystem. Use when changing src/fleet-sim, simulator release workflow, or fleet-sim-owned docs and assets under website/.
Maintains Kubernetes-facing operator, deployment-profile, and DSL translation implementation slices for semantic-router platform integration. Use when the task changes operator APIs or CRDs, deployment manifests, profile-owned stack resources, or router-to-Kubernetes translation behavior.
Manages GitHub issue and pull-request lifecycle including creation, updates, triage labelling, and closeout metadata using canonical templates and repository taxonomy. Use when a maintainer asks to create, update, close, or triage GitHub issues or PRs, or when issue creation requires codebase analysis for scope, labels, or acceptance criteria.
Maintains the Python CLI argument schema, parser, validator, merger, and config-translation layer that mirrors the router config contract. Use when modifying CLI argument definitions, updating config validation rules, changing how CLI inputs are merged, or adjusting config translation between CLI and router formats.
Modifies the local startup chain including image build, container serve/bootstrap logic, and canonical smoke test behavior. Use when changing `vllm-sr serve` behavior, image selection or pull policy, container startup sequences, local Docker/Make bootstrap, or canonical smoke config.
