Karan Manoharan

Build an animation from scratch, making the decisions in the order that determines whether it feels right — should it animate at all, what purpose, which tool, which properties, which curve and duration, how it interrupts, how it exits. Writes the implementation. Use when asked to animate something, add motion, make a component feel alive, or build a transition. For critiquing existing motion use review-animations; for auditing a whole codebase use improve-animations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Anthropic Admin tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Solve a problem by systematically importing solutions from other domains: abstract the problem's deep structure, find 3–5 domains that share that structure, study how each solved it, and translate the mechanisms back — with an explicit disanalogy check. Use for 'how do other fields handle this?' and stuck problems that feel like they must have been solved somewhere before.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Anchor Browser tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write effective, consistent annotations on LLM/agent spans and traces, and coach the user on annotation practice. Load this whenever you are about to record structured feedback with the `batch_span_annotate` tool, or when the user asks how to annotate, label, score, or review spans/traces, build a failure taxonomy, or set up human/LLM review. Do NOT load for: pure analysis with no intent to save feedback (use debug-trace), latency or cost statistics, or prompt authoring (use playground).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Anthropic Admin tasks via Rube MCP (Composio): API keys, usage, workspaces, and organization management. Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Ambee tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Amcards tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Assess whether structured data, query results, dashboards, or analytical evidence are trustworthy enough to use. Use when the task is to check data quality, reconcile conflicting sources or metric definitions, or decide whether evidence is safe to cite.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze PostHog insights, dashboards, or teams beyond the current project by querying the prod Postgres replicas synced into the dogfood data warehouse (US project 2, "PostHog App + Website"). Use when asked to analyze insights across all teams or projects, another team's insights, or fleet-wide insight/dashboard usage — cases where `system.insights` only returns the current project's rows and the agent would otherwise report the data as inaccessible. Covers the synced table names for US and EU and the column-verification workflow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when designing or implementing product-grade web motion like Stripe, Linear, Apple, and Vercel. Covers motion principles, easing/duration defaults, choreography patterns, scroll/hover interactions, performance, accessibility (reduced motion), and implementation guidance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Anonyflow tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Structured, enterprise-focused design system emphasizing clarity, consistency, and efficiency for data-dense web applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Amara tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Amazon tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add a restrained particle atmosphere inside one section with configurable shapes, density, gravity, wind, sway, rotation, recycling or settling, pointer disturbance, visibility pausing, responsive limits, and reduced-motion fallbacks. Use for petals, leaves, snow, sparks, confetti, dots, paper, icons, or brand fragments that support a section's mood without obscuring content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Automate Ambient Weather tasks via Rube MCP (Composio). Always search tools first for current schemas.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze failed GitHub Action jobs for a pull request.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze Langfuse Cloud infrastructure cost structure using Metabase cost marts. Use when asked about cloud spend, AWS versus ClickHouse cost splits, cost drivers by provider/service/usage type/account, daily cost per tracing event, infra cost dashboards, or cost regressions visible in Metabase.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Pull and interpret production experiment query-performance data from the staff-only `/api/debug_ch_queries` endpoints backing the `/instance/query_performance` scene: slowest experiment queries, precompute read/build health, and preaggregation cache footprint. Covers prod-US and prod-EU via a `query_performance:read` personal API key, all query params, and response field semantics (exception codes, exposure paths, precompute skip reasons, job states). Use when investigating slow or failing experiment queries, precompute regressions, 307/159/241 errors, preaggregation table growth, or when asked how experiment query performance or the precompute rollout is doing in production.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create an on-scroll animation trigger using IntersectionObserver with Tailwind-friendly animation classes and keyframes. Use when asked for scroll-reveal, animate-on-scroll, or sequencing element animations when they enter the viewport.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Keep the user's MacBook awake reliably with macOS caffeinate for a set duration or while a process runs. Use for "don't let my Mac sleep", "keep the screen on", "anti-sleep", "caffeinate", overnight work, or long builds. Unlike a normal background job, it survives temporary agent-shell cleanup.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.