TanStack
Official@tanstack
Open source software for web developers
Agent Skills by TanStack
Showing 207 vetted skills indexed across 6 GitHub repositories.
simple-english
Rewrites technical documentation using ASD-STE100 Simplified Technical English rules.
i-have-adhd
Reshape AI responses into ADHD-friendly output with numbered steps and capped lists.
ponytail
Enforces minimal, standard-library-first code solutions with adjustable intensity levels.
docs
Plans and writes reader-focused documentation pages with persona and tone approval gates.
pr-description
Generates and posts GitHub pull request titles and bodies from branch diffs.
bugfix-pr
Audits bug-fix pull requests through security scanning, reproduction, and minimal-diff gates.
triage-github
Triage open GitHub issues, PRs, and discussions with parallel subagents into a prioritized report.
pr-sweep
Audits open GitHub PRs with parallel agents to security-scan, rebase, and approve CI.
gap-analysis
Audits TanStack AI provider adapters for feature parity gaps and outdated model lists.
haiku
Formats every chat response as a three-line 5-7-5 syllable haiku.
pirate-speak
Rewrites chat responses in a boisterous pirate voice with nautical slang.
emoji-storyteller
Rewrites chat answers as short stories told mostly in emoji.
ai-mcp
Connects TanStack AI chat loops to external MCP servers for tool discovery and execution.
tanstack-ai-memory-hindsight
Configures the Hindsight hosted memory adapter for per-conversation recall and retain tools.
tanstack-ai-memory
Adds server-side cross-session memory to TanStack AI chat calls via recall/save middleware.
tanstack-ai-memory-in-memory
Configures the inMemory() adapter for Map-backed recall and save in TanStack AI memory middleware.
tanstack-ai-memory-redis
Configures a Redis-backed memory adapter for TanStack AI recall and save operations.
ai-sandbox
Run harness adapters inside isolated sandboxes with declarative provisioning and durable run takeover.
ai-persistence
Implements durable chat and generation state persistence for TanStack AI applications.
ai-persistence/build-custom-adapter
Implements a custom TanStack AI chat persistence adapter for databases without dedicated recipes.
ai-persistence/build-prisma-adapter
Generates a Prisma-backed chat persistence layer for TanStack AI applications.
ai-persistence/build-cloudflare-artifact-store
Implements R2-backed BlobStore and D1-backed ArtifactStore for persisting TanStack AI generated media on Cloudflare Workers.
ai-persistence/stores
Implement MessageStore, RunStore, InterruptStore, and MetadataStore contracts for TanStack AI persistence adapters.
ai-persistence/server
Persist server-side chat transcripts, runs, and interrupts with TanStack AI middleware.
Frequently Asked Questions About TanStack
FAQPage SchemaWhat specific tasks are enabled by TanStack's core libraries?▼
TanStack enables complex UI state management, including virtualized datagrids, type-safe file-based routing, server-side data fetching, and reactive database synchronization across React, Vue, Solid, Svelte, and Angular ecosystems.
Which technical personas benefit most from these libraries?▼
Frontend and full-stack engineers building data-intensive enterprise applications benefit from TanStack's focus on type-safety, performance optimization, and framework-agnostic state primitives that reduce boilerplate in complex web interfaces.
Are these libraries open-source and what are the licensing costs?▼
All TanStack libraries are open-source software, typically distributed under the MIT license, allowing for free use in both personal and commercial projects without mandatory licensing fees.
What are the primary dependencies for integrating TanStack into a project?▼
Integration requires a modern JavaScript or TypeScript environment, with specific framework adapters available for React, Vue, Solid, Svelte, Preact, and Lit to ensure native reactivity and component lifecycle compatibility.