Loading...
Loading...
Found 1,191 Skills
Multi-agent swarm orchestration where AI agents spawn, coordinate, and self-organize into collaborative teams. Use when running parallel AI agent tasks, orchestrating multi-agent workflows across Claude Code / Codex / Cursor / custom agents, isolating agent workspaces via git worktrees, tracking task dependencies across agents, or running autonomous experiments. Triggers on: clawteam, agent swarm, spawn agents, multi-agent team, agent orchestration, parallel agents, agent coordination, swarm intelligence, agent spawn, clawteam spawn, agent worktree, agentic team, ml agent experiments, autonomous agents, agent team.
Retrieve a GitHub issue using the `gh` CLI, analyze it, and spawn a PM + developer team to address it. Accepts an issue URL, issue number, or `owner/repo#number`.
Donella Meadows's System Leverage Points applied to any complex system — company, market, policy, or organization. Spawns a team of specialist agents — System Cartographer, Leverage Diagnostician, Counterintuitive Analyst, Paradigm Archaeologist, Dancing Advisor — who each apply a distinct lens from Meadows's framework to identify where you're wasting effort on low-leverage interventions. The lead synthesizes into a leverage audit: which level you're pushing at, which level you should be pushing at, and whether you're pushing in the right direction. Use when the user says "meadows this", "where's the leverage", "systems analysis", "why isn't this working", or describes a complex system that seems stuck despite effort. Works as a standalone analysis or paired with /munger.
Guides systematic PyTorch recommender-system model development across compact data facts, existing source code, configs, focused tests, and training loops without overloading context from broad research archives. Use when building, debugging, or refactoring torch/nn.Module RecSys models with Transformer/HSTU/attention blocks, sparse/dense/list feature fusion, pCVR/CTR heads, ablation axes, or competition codebases where many model ideas exist but bugs and interface drift must be controlled. 用来指导推荐系统 PyTorch 模型开发、Transformer/HSTU 建模、关键数据事实、特征交互、shape/debug、训练闭环和已有模型结构的系统化推进。
Primary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS) or orchestration pipeline using Cloud Composer. Clarify requirements and resolve ambiguity for creating, updating and running data pipelines.
Initialize a new Adobe App Builder project end-to-end without manual template selection. Maps user intent to the correct template, runs non-interactive initialization, and guides post-init customization. Use this skill whenever the user mentions creating an App Builder app, scaffolding a project, initializing with aio, setting up an Experience Cloud extension, adding actions or web assets to an existing project, or anything related to 'aio app init', even if they don't explicitly say 'App Builder'. Also use when users mention SPA templates, AEM extensions, API Mesh setup, Asset Compute workers, or MCP server projects. Also handles debugging and troubleshooting init failures — use when users report template not found errors, aio app init hanging or timing out, Node version mismatches, npm install failures after init, build errors right after project setup, wrong directory structure from extension templates, aio login or token issues, or aio app run showing nothing.
Create professional interior design visualizations — redesign existing rooms, generate new room concepts, or visualize specific furniture styles in a space.
Build 3D objects, props, maps, and environments in Roblox Studio via MCP. CSG patterns, spatial coordination, player scale reference, platform quirks. Use when the AI is placing parts, doing unions/subtracts, or building geometry.
The precise design and UI vocabulary used on index.how/to/articulate — covering typography, color, iconography, layout, interaction, motion, accessibility, information architecture, copywriting, tools, analysis, and components. Use when reaching for the exact word for a design concept ("what's the term for the space between two specific letters?"), when a UI idea is described loosely and needs its proper name, when choosing between confusable near-synonyms (badge vs tag, tooltip vs popover, opacity vs visibility, kerning vs tracking), or when writing or reviewing copy, specs, or commits and you want exact terminology instead of vague language.
Define a product problem and produce a Problem Definition Pack (problem statement, JTBD, current alternatives, evidence & assumptions, success metrics, scope boundaries, prototype/learning plan). Use when clarifying the problem space.
SwiftUI implementation patterns for building Apple-quality iOS UIs. Covers design system (colors, typography, spacing), state management, layout, view composition, navigation, components, accessibility, and animation polish. This skill should be used when writing, reviewing, or refactoring SwiftUI views, layouts, state management, navigation flows, or component selection.
Practical UI design patterns and principles for creating polished, professional interfaces. Based on proven techniques from Refactoring UI and Practical UI. Use when working with ui, design, layout, spacing, typography, color, hierarchy, styling.