Mcp
Scrape any website, extract structured data, and collect web content at scale with AI agents
Wherobots
Generate and run high performance queries on open and private spatial data at-scale in the cloud
Harness Engineering Guide
You are a harness engineering consultant. Your job is to audit, design, and implement the environments, constraints, and feedback loops that make AI coding agents work reliably at production scale.
ads-creative-development
How to produce ad creative that converts at performance scale. Hook patterns, format selection, video pacing, variation systems, sequential testing methodology, fatigue detection, brand-voice alignment without conversion dilution, and platform-specific creative norms. Triggers on ad creative, ad design, hook patterns, ad video pacing, creative testing, ad variations, creative refresh, creative fatigue, refresh ad creative, video ads for Meta, TikTok creative, LinkedIn ad creative, ad asset library. Also triggers when a team is producing creative at scale, planning a creative test cycle, or auditing why creative is not converting.
data-manipulation
High-performance data manipulation and transformation using Pandas, Numpy, and DuckDB. Use when Claude needs to: (1) Clean or transform structured data (CSV, Parquet, JSON), (2) Perform large-scale aggregations or analytics, (3) Optimize analysis for performance and memory, (4) Implement the 'Tidy Data' (Wide-to-Long) strategy for reporting.
Ad Account Auditor · ä»è´¹å¹¿åè´¦æ·å®¡è®¡
Use when auditing a paid ad account for ROAS quality, wasted spend, or measurement integrity before scaling; runs RQS scoring with veto checks and a SHIP/FIX/BLOCK gate on your own exported account data. Not for building campaign structure â use campaign-architect; not for creative units â use ad-creative-builder. ä»è´¹å¹¿åè´¦æ·å®¡è®¡/ROASè¯å
Mcp Server
Full Solana DeFi coverage: launchpads, tokens, trades, and wallets, decoded at scale.
alterlab-arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets. Part of the AlterLab Academic Skills suite.
vgv-accessibility
Flutter accessibility auditing and remediation with WCAG 2.1 level selection (A, AA, AAA) across mobile, desktop, and web platforms. Use when building, auditing, or reviewing widgets for screen reader support, touch targets, focus management, color contrast, text scaling, or motion sensitivity. Begins by asking the WCAG conformance level and target platform(s) before applying level-appropriate, platform-aware criteria.
Docker Container Operations
Use this skill when the user asks to "manage Docker containers", "restart hotplex", "check container status", "scale hotplex", "stop bot", "start bot", "docker restart", "docker up", "docker down". Provides container lifecycle management for hotplex deployment.
Precision Desktop
Fixes DPI coordinate scaling for Windows desktop automation MCP servers.
batch
Research and plan a large-scale change, then execute it in parallel across 5-30 isolated worktree agents that each open a PR. Use when the user wants to make a sweeping, mechanical change across many files (migrations, refactors, bulk renames) that can be decomposed into independent parallel units.
autosar-swc
AUTOSAR SWC expert. Defaults to Classic AUTOSAR (SWCs, RTE, ARXML, C) and operates in five modes: (1) Component design â decompose a feature into SWC types, define port interfaces, specify runnables and ExclusiveAreas, produce a plain-text composition diagram; (2) Interface definition â SenderReceiver / ClientServer / ModeSwitch / Parameter interfaces with correct AUTOSAR data types, scaling, InitValues, and AliveTimeout, as an ARXML sketch plus C typedef header; (3) SWC development â production-ready SWC skeleton (.c + .h + ARXML) with correct RTE API calls and MISRA-aligned style; (4) Diagram generation â plain-text component / sequence diagrams and ASCII state machines with AUTOSAR layer boundaries and ASIL notes; (5) Integration review â audit C and ARXML for port-interface alignment, RTE API naming, runnable-to-event mapping, and MCAL abstraction violations. Targets EB Tresos and Vector DaVinci. Handles Adaptive AUTOSAR (ara::com proxy/skeleton services) and legacy bring-up in smallest safe steps.
scrum-sage
AI-powered Scrum Master and Enterprise Agility Coach based on Jeff Sutherland, Taiichi Ohno, and First Principles thinking. Use when user needs help with Scrum, sprint analysis, backlog refinement, scaling advice, impediment removal, team dynamics, or agile coaching. Activate for questions about Scrum mechanics, Scrum@Scale, flow optimization, or team performance.
ad-creative
When the user wants to generate, iterate, or scale ad creative â headlines, descriptions, primary text, or full ad variations â for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.
Strata
MCP server for progressive tool usage at any scale (see https://klavis.ai)
agent-dx-cli-scale
A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles.
k8s-autoscaling
Configure Kubernetes autoscaling with HPA, VPA, and KEDA. Use for horizontal/vertical pod autoscaling, event-driven scaling, and capacity management.
Io.Github.Signal Found/Sf Mcp
Reddit outreach at scale — find prospects, send 1000s of DMs/day, and manage your CRM via AI agents.
daft-distributed-scaling
Scale Daft workflows to distributed Ray clusters. Invoke when optimizing performance or handling large data.
dot-ai
Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
Book Writer
Book-scale orchestration skill. Pairs with `/authors-voice` (voice pipeline). Together: this skill specifies WHAT must land in each beat; `/authors-voice` specifies HOW the prose sounds.
fulcra-agent-atc
Model & cap routing (ATC) for a subscription fleet: declare your accounts once, then a capability-ranked router (`coord-engine route --needs â¦`) picks the cheapest model that can do the job across every subscription, a cross-account cap ledger keeps traffic inside its windows, and outcome logging demotes a model that keeps failing a task class. Standalone on one account; scales to a coord team of resident dispatchers.
iOS Simulator Interaction
Use `iosef` (via Bash) as the primary tool for all iOS simulator interactions. Compared to `idb` and `simctl`, it: * Lets you interact by AX-tree selectors (`--name`, `--role`, `--identifier`) instead of only bare coordinates * Scales screenshots so pixel coordinates match iOS point space â no tra