AI Ml AI agent skills

8,771 skills in the archive. Read a skill’s instructions or open its original repository.

• Content Strategy

  by @MaxMiksa

  When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content strategy," "what should I write about," "content ideas," "blog…

• Web Scraping

  by @MaxMiksa

  Web scraping with anti-bot bypass, content extraction, undocumented APIs and poison pill detection. Use when extracting content from websites, handling paywalls, implementing scraping cascades or processing social media. Covers…

• Frontend Polish

  by @MaxMiksa

  Refine an already working product frontend in a dedicated finishing pass, preserving its identity while improving hierarchy, components, copy and responsive behavior. Use after the core flow works or when the user asks for…

• User Research Synthesis

  by @MaxMiksa

  Synthesize qualitative and quantitative user research into structured insights and opportunity areas. Use when analyzing interview notes, survey responses, support tickets, or behavioral data to identify themes, build personas,…

• Startup Financial Modeling

  by @MaxMiksa

  This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning…

• Ph Community Outreach

  by @MaxMiksa

  Engage Reddit, Indie Hackers, Hacker News and other communities for Product Hunt launches. Use this skill to identify relevant communities, craft appropriate posts, and drive cross-platform engagement without appearing spammy.

• Deep Analysis

  by @MaxMiksa

  Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Provides structured templates for thorough investigation with extended thinking support.

• Premortem

  by @MaxMiksa

  Pre-mortem analysis that imagines a plan has failed, then works backward to identify causes and preventions. Use before launches, major decisions, or risky initiatives to surface hidden risks.

• Ux Audit Rethink

  by @MaxMiksa

  Comprehensive UX audit using IxDF's 7 factors, 5 usability characteristics, and 5 interaction dimensions. Holistic evaluation with redesign proposals based on user-centered design principles.

• User Persona Creation

  by @MaxMiksa

  Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.

• Team

  by @MaxMiksa

  Quickly assemble a temporary AI agent team for a task. Automatically select the most suitable members from .claude/agents/.

• Product Strategist

  by @MaxMiksa

  Expert product strategy covering market analysis, competitive positioning, go-to-market planning, and product-led growth.

• Ai Core/Adapter Configuration

  by @TanStack

  Provider adapter selection and configuration: openaiText, anthropicText, geminiText, ollamaText, grokText, groqText, openRouterText, bedrockText, byteplusText, openaiCompatible. Per-model type safety with modelOptions,…

• Pirate Speak

  by @TanStack

  Answer entirely as a boisterous pirate, with nautical slang and "arrr".

• Ai Sandbox

  by @TanStack

  Run harness adapters (Claude Code, Codex, OpenCode) INSIDE isolated sandboxes via defineSandbox + withSandbox + a provider (localProcessSandbox / dockerSandbox). Covers declarative provisioning: createSecrets + secret/bearer,…

• Tanstack Ai

  by @TanStack

  Build AI features in a TypeScript app with TanStack AI (@tanstack/ai): chat and streaming, tool calling and agents, structured outputs, MCP, code mode, sandboxes and coding-agent harnesses, persistence and resumable streams,…

• Ai Core/Client Persistence

  by @TanStack

  Browser chat persistence on useChat / ChatClient: localStoragePersistence, sessionStoragePersistence, indexedDBPersistence. Client-authoritative (adapter, full transcript) vs server-authoritative (persistence: true, no client…

• Ai Core/Media Generation

  by @TanStack

  Image, audio, video, speech (TTS), and transcription generation using activity-specific adapters: generateImage() with openaiImage/geminiImage/byteplusImage, generateAudio() with geminiAudio/falAudio, generateVideo() with async…

• Ai Core/Structured Outputs

  by @TanStack

  Type-safe JSON schema responses from LLMs using outputSchema on chat() and useChat(). Supports Zod, ArkType, and Valibot schemas. The adapter handles provider-specific strategies transparently — never configure structured output…

• Tanstack Ai Migration

  by @TanStack

  Move an app to TanStack AI from the Vercel AI SDK or raw provider SDKs, or move it off a deprecated TanStack AI API. Use when someone asks whether to switch AI libraries, when code mixes streamText, generateText, generateObject,…

• Ai Skills

  by @TanStack

  Portable Agent Skills (SKILL.md) for TanStack AI with @tanstack/ai-skills. Renders a skill catalog and a load_skill tool via the withSkills middleware so any tool-calling model loads skills on demand, on any provider. Covers the…

• Ai Core/Locks

  by @TanStack

  LockStore, InMemoryLockStore, LocksCapability and withLocks for multi-instance coordination in TanStack AI. Ships in @tanstack/ai — NOT in @tanstack/ai-persistence. Separate from AIPersistence state stores — not a stores key,…

• Ai Persistence/Stores

  by @TanStack

  Implement the MessageStore, RunStore, InterruptStore, MetadataStore contracts for @tanstack/ai-persistence against any database. defineAIPersistence, composePersistence overrides, critical invariants (full-replace saveThread,…

• Ai Core/Debug Logging

  by @TanStack

  Pluggable, category-toggleable debug logging for TanStack AI activities. Toggle with `debug: true | false | DebugConfig` on chat(), summarize(), generateImage(), generateSpeech(), generateTranscription(), generateVideo().…

• Ai Persistence/Build Cloudflare Artifact Store

  by @TanStack

  Use when a Cloudflare Worker needs durable byte storage for TanStack AI generated media (images, audio, video, transcripts) — writes a BlobStore backed by R2 and an ArtifactStore backed by D1, composes them onto the generation…

• Ai Code Mode

  by @TanStack

  LLM-generated TypeScript execution in sandboxed environments: createCodeModeTool() with isolate drivers (createNodeIsolateDriver, createQuickJSIsolateDriver, createQuickJSBunIsolateDriver, createCloudflareIsolateDriver),…

• Ai Persistence

  by @TanStack

  Durability and state persistence for TanStack AI chats with @tanstack/ai-persistence. Routes to server chat persistence (withPersistence), client persistence (localStorage/IndexedDB), the store contracts, and adapter recipes.…

• Ai Persistence/Build Custom Adapter

  by @TanStack

  Use when an app needs TanStack AI chat persistence on a database with no dedicated recipe — raw Postgres (pg/postgres.js), Kysely, node:sqlite, MongoDB, Supabase, Redis. Writes a chat-persistence.ts against the app's existing…

• Ai Core/Tool Calling

  by @TanStack

  Isomorphic tool system: toolDefinition() with Zod schemas, .server() and .client() implementations, passing tools to both chat() on server and useChat/clientTools on client, tool approval flows with needsApproval and bound…

• Ai Persistence/Server

  by @TanStack

  Server chat state with withPersistence from @tanstack/ai-persistence. Authoritative transcript, run lifecycle, durable interrupts/approvals, chatParamsFromRequest, reconstructChat, snapshotStreaming. Use when the server owns…

• Ai Core/Ag Ui Protocol

  by @TanStack

  Server-side AG-UI streaming protocol implementation: StreamChunk event types (RUN_STARTED, TEXT_MESSAGE_START/CONTENT/END, TOOL_CALL_START/ARGS/END, RUN_FINISHED, RUN_ERROR, STEP_STARTED/STEP_FINISHED, STATE_SNAPSHOT/DELTA,…

• Ai Core/Chat Experience

  by @TanStack

  End-to-end chat implementation: server endpoint with chat() and toServerSentEventsResponse(), client-side useChat hook with fetchServerSentEvents(), message rendering with UIMessage parts, multimodal content, thinking/reasoning…

• Ai Core/Custom Backend Integration

  by @TanStack

  Connect useChat to a non-TanStack-AI backend through custom connection adapters. ConnectConnectionAdapter (single async iterable) vs SubscribeConnectionAdapter (separate subscribe/send). Customize fetchServerSentEvents() and…

• Ai Core/Middleware

  by @TanStack

  Chat lifecycle middleware hooks: onConfig, onStart, onChunk, onBeforeToolCall, onAfterToolCall, onUsage, onFinish, onAbort, onError. Use for analytics, event firing, tool caching (toolCacheMiddleware), logging, and tracing.…

• Ai Persistence/Build Drizzle Adapter

  by @TanStack

  Use when an app already runs Drizzle ORM and needs TanStack AI chat persistence — writes a chat-persistence.ts into the app against its existing db handle, schema file, and drizzle-kit journal. Covers the four tables…

• Ai Mcp

  by @TanStack

  Host-side Model Context Protocol (MCP) client for TanStack AI: connect to external MCP servers, discover and run their tools inside any adapter's chat() loop, read resources and prompts, generate TypeScript types (typed tool…

• Ai Persistence/Build Prisma Adapter

  by @TanStack

  Use when an app already runs Prisma and needs TanStack AI chat persistence — writes a chat-persistence.ts into the app against its existing PrismaClient and schema.prisma. Covers the four models, BigInt timestamps,…

• Tanstack Ai Memory

  by @TanStack

  Use when wiring memoryMiddleware from @tanstack/ai-memory into a chat() call — covers the recall/save adapter contract, scope shape and server-side scope security, the recall-inject / deferred-save lifecycle, choosing an adapter…

• Ai Persistence/Build Cloudflare Adapter

  by @TanStack

  Use when a Cloudflare Worker needs TanStack AI chat persistence — writes a chat-persistence.ts into the app against its D1 binding (raw or via Drizzle), plus a Durable Object LockStore. Covers per-request bindings, wrangler…

• Tanstack Ai Memory Hindsight

  by @TanStack

  Use when wiring hindsight() from @tanstack/ai-memory/hindsight — a hosted memory adapter that buckets memory per conversation and exposes retain/recall/reflect tools to the model. Requires the optional…

• Tanstack Ai Memory In Memory

  by @TanStack

  Use when wiring inMemory() from @tanstack/ai-memory/in-memory — explains setup, options (embedder, extract, topK/minScore), when to pick it (dev/tests/single-process demos), and what NOT to use it for (multi-process or…

• Tanstack Ai Memory Honcho

  by @TanStack

  Use when wiring honcho() from @tanstack/ai-memory/honcho — a hosted memory adapter where recall is a dialectic answer over the user's representation (no discrete fragments). Requires the optional @honcho-ai/sdk peer.

• Tanstack Ai Memory Redis

  by @TanStack

  Use when wiring redis() from @tanstack/ai-memory/redis in production — covers client setup (ioredis or node-redis via fromNodeRedis), the storage model, client-side ranking limits, and troubleshooting.

• Tanstack Ai Memory Mem0

  by @TanStack

  Use when wiring mem0() from @tanstack/ai-memory/mem0 — a hosted memory adapter that talks to a mem0 server over plain HTTP (no SDK peer). Requires a running mem0 server.

• Emoji Storyteller

  by @TanStack

  Retell the answer as a short story told mostly in emoji.

• Haiku

  by @TanStack

  Answer only as a haiku, three lines of 5-7-5 syllables.

• Predictingthepast

  by @google-deepmind

  Ancient text restoration, attribution, dating, contextualization, and embedding via Aeneas (Latin) / Ithaca (Ancient Greek). Use when asked to "restore", "attribute", "date", "contextualize", "find parallels", "where was it…

• Comet

  by @rpamis

  Use when 用户要启动或恢复 Comet 工作流，需要根据 active change、.comet.yaml、hotfix/tweak 意图路由到对应阶段 Skill。

• Comet

  by @rpamis

  Comet workflow entry. Use when the user invokes /comet or asks to use Comet without choosing Native or Classic; load Native or Classic from project configuration.

• Comet Native

  by @rpamis

  Comet Native workflow. Use when the user explicitly invokes /comet-native, asks to start or resume a Native change, or the entry routes to Native.

• Comet

  by @rpamis

  Comet — OpenSpec + Superpowers dual-star development workflow. Start with /comet for automatic phase detection and dispatch to subcommands. Five phases: open → design → build → verify → archive.

• Comet Classic

  by @rpamis

  Comet Classic workflow entry. Use when the user explicitly invokes /comet-classic, asks to start or resume Classic, or resume-probe returns auto_resume for one unambiguously recoverable active Classic change.

• Comet Classic

  by @rpamis

  Comet Classic 工作流入口。当用户明确调用 /comet-classic、要求启动或恢复 Classic，或 resume-probe 返回 auto_resume、确认唯一可恢复的未归档 Classic change 时使用。

• Comet Any

  by @rpamis

  Create or upgrade a Comet Classic workflow Skill via Comet Creator. Not for general Skill authoring, cleanup, or review.

• Comet Any

  by @rpamis

  通过 Comet Creator 创建或升级 Comet Classic workflow Skill。不用于一般 Skill 的编写、整理或评审。

• Comet Native

  by @rpamis

  Comet Native 工作流。当用户明确调用 /comet-native、要求启动或恢复 Native change，或入口路由到 Native 时使用。

• Comet

  by @rpamis

  Comet 工作流入口。当用户明确调用 /comet，或明确要求使用 Comet 但未指定 Native/Classic 时使用；按项目配置加载 Native 或 Classic。

• Comet Github

  by @rpamis

  将 Comet GitHub 维护请求路由到基于证据的 PR 审阅、Issue 分诊、本地想法收集、CI 诊断或 Issue 实施流程。用户提到 Comet GitHub Issue/PR 但未指定流程，或询问下一步如何处理时使用。

• Comet Open

  by @rpamis

  Create a Classic change, clarify its requirements, and obtain user confirmation. Use when the user invokes /comet-open or Classic enters Open or resumes initialization.

• Comet Tweak

  by @rpamis

  Use the Classic preset for a lightweight adjustment within one change. Use when the user explicitly invokes /comet-tweak, selects tweak, or resumes workflow: tweak.

• Comet Review

  by @rpamis

  Manually review the implementation diff for the current Comet change. Report correctness, security, and edge-case issues without advancing the workflow.

• Comet Hotfix

  by @rpamis

  Use the Classic preset to repair a localized defect. Use when the user explicitly invokes /comet-hotfix, selects hotfix, or resumes workflow: hotfix.

• Comet Build

  by @rpamis

  Plan, implement, and accept Classic tasks. Use when the user invokes /comet-build or Classic Runtime enters Build or returns to Build for repairs.

• Comet Memory

  by @rpamis

  Use when Comet must decide whether a bounded semantic review packet contains a personal memory worth creating, updating, forgetting, or skipping.

• Comet Design

  by @rpamis

  Complete the Classic technical design and obtain user confirmation. Use when the user invokes /comet-design or Classic Runtime enters Design.

• Comet Github Issue Fix

  by @rpamis

  在隔离范围内，通过所属 Native 或 Classic workflow、匹配风险的测试、生成 Runtime 检查和谨慎交付，实施已确认的 Comet GitHub Issue 或 review 阻塞项。用户明确要求修复已验证的 Issue 或 PR 问题时使用。

• Comet Archive

  by @rpamis

  Archive and deliver a Classic change. Use when the user invokes /comet-archive or Classic Runtime enters Archive or resumes delivery.

• Comet Verify

  by @rpamis

  Verify a Classic change and record the results. Use when the user invokes /comet-verify or Classic Runtime enters Verify.

• Comet Github Ci Triage

  by @rpamis

  使用 PR 当前准确 head、失败 job 日志、本地复现边界和可合并状态，诊断 Comet PR 的 GitHub Actions 与覆盖率检查。PR 出现 CI 报错、Codecov 问题、过期检查或无法解释的红色 job 时使用。

• Comet Runtime Diagnose

  by @rpamis

  通过区分过期配置与源码缺陷，并执行真实打包 Runtime 路径，诊断 Comet Hook、安装、路由、平台、生成 Runtime 或生命周期行为。Hook 或安装报告可能涉及配置、生成资产漂移、不支持的平台或跨项目归属问题时使用。

• Comet Release

  by @rpamis

  根据真实版本和分支范围准备 Comet 发布或发布说明更新，保持 Changelog 面向用户、双语网站文档一致、生成资产已验证，并明确 Git 交付边界。Beta、hotfix、版本检查、发布说明或发布就绪检查时使用。

• Comet Github Pr Review

  by @rpamis

  以只读、证据优先的方式审阅 Comet 社区 PR，包括最新 diff、关联 Issue、review thread 状态、可合并性和 CI。用户要求审阅 PR、判断评论是否仍然有效，或准备简洁的合并阻塞评论时使用。

• Comet Safe Delivery

  by @rpamis

  在保护无关脏改动、关联 worktree、子模块和用户明确边界的前提下，提交、推送、合并或完成范围明确的 Comet 变更。用户要求提交、推送、合并回目标分支、清理 worktree 或交付已准备好的改动时使用。

• Comet Github Idea To Issue

  by @rpamis

  基于当前代码库，将本地 Comet 想法、观察到的回归或改进提案整理为聚焦的 GitHub Issue 草稿。用户要求把本地调查转换为 Issue、后续 Issue、Bug、Feature 或维护任务时使用。

• Comet Github Issue Triage

  by @rpamis

  对照当前仓库契约、源码、Runtime、测试和安装行为，验证并分类 Comet GitHub Issue。用户询问 Issue 是否真实、可复现、重复、已实现、属于配置问题，或是否适合后续处理时使用。

• Comet Bilingual Docs

  by @rpamis

  在保留已确认语义、仓库结构、子模块边界和聚焦验证的前提下，同步 Comet 中英文文档、README、Skill、发布说明和网站页面。文档变更需要保持双语，或中文措辞需要英文对应版本时使用。

• Comet Tweak

  by @rpamis

  使用 Classic 预设流程完成单个 change 的轻量调整。在用户明确调用 /comet-tweak、选择 tweak，或恢复 workflow: tweak 时使用。

• Comet Build

  by @rpamis

  制定计划、实施并验收 Classic 任务。在用户调用 /comet-build，或 Classic Runtime 进入 Build、返回 Build 修复时使用。

• Comet Archive

  by @rpamis

  归档并交付 Classic change。在用户调用 /comet-archive，或 Classic Runtime 进入 Archive、恢复交付时使用。

• Comet Hotfix

  by @rpamis

  使用 Classic 预设流程修复局部缺陷。在用户明确调用 /comet-hotfix、选择 hotfix，或恢复 workflow: hotfix 时使用。

• Comet Verify

  by @rpamis

  验证 Classic change 并记录结果。在用户调用 /comet-verify，或 Classic Runtime 进入 Verify 时使用。

• Comet Design

  by @rpamis

  完成 Classic 技术设计并请用户确认。在用户调用 /comet-design，或 Classic Runtime 进入 Design 时使用。

• Comet Open

  by @rpamis

  创建 Classic change，整理需求并请用户确认。在用户调用 /comet-open，或 Classic 进入 Open、恢复初始化时使用。

• Comet Review

  by @rpamis

  手动审查当前 Comet change 的实现差异，只报告正确性、安全和边界问题，不推进工作流。

• Comet Memory

  by @rpamis

  使用于 Comet 需要根据有界语义评审包判断是否值得保存个人记忆、候选、更新、遗忘或跳过时。

• Comet Tweak

  by @rpamis

  Comet preset path: Non-bug small changes (tweak). Skip brainstorming and full plan, directly open → lightweight build → light verify → archive. Applicable for copy, configuration, documentation or prompt local optimization.

• Openspec Explore

  by @rpamis

  Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

• Openspec New Change

  by @rpamis

  Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.

• Openspec Ff Change

  by @rpamis

  Fast-forward through OpenSpec artifact creation. Use when the user wants to quickly create all artifacts needed for implementation without stepping through each one individually.

• Comet Hotfix

  by @rpamis

  Comet preset path: Bug fix / hotfix. Skip brainstorming, directly open → build → verify → archive. Applicable for behavior fixes, scenarios not involving new capability design.

• Openspec Continue Change

  by @rpamis

  Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.

• Comet Open

  by @rpamis

  Comet Phase 1: Open. Invoke with /comet-open. Explore ideas through OpenSpec, confirm requirements clarification, then create change structure (proposal + design + tasks).

• Openspec Archive Change

  by @rpamis

  Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

• Comet Build

  by @rpamis

  Comet Phase 3: Plan and Build. Invoke with /comet-build. Create plans and select execution method (subagent or direct) for implementation.

• Openspec Apply Change

  by @rpamis

  Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

• Comet Archive

  by @rpamis

  Comet Phase 5: Archive. Invoke with /comet-archive. Merge delta specs into main specs with OpenSpec semantics, archive change.

• Comet Verify

  by @rpamis

  Comet Phase 4: Verify and Close. Invoke with /comet-verify. Verify implementation matches design, handle development branch.

• Comet Design

  by @rpamis

  Comet Phase 2: Deep Design. Invoke with /comet-design. Produce Design Doc and delta spec through brainstorming.

• Openspec Onboard

  by @rpamis

  Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.

• Comet Open

  by @rpamis

  Use when Comet 需要创建新的 OpenSpec change，或 active change 缺少 proposal/design/tasks/.comet.yaml 初始化产物。