Recently added agent tools.

**Tier:** POWERFUL **Category:** Engineering **Domain:** Multi-Agent Systems / AI Orchestration --- ## Overview Design production-grade multi-agent workflows with clear pattern choice, handoff contracts, failure handling, and cost/context controls. ## Core Capabilities - Workflow pattern selection for multi-step agent systems - Skeleton config generation for fast workflow bootstrapping - Context and cost discipline across long-running flows - Error recovery and retry strategy scaffolding - Docum

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Design and implement a complete ML pipeline for: $ARGUMENTS

## One-line decision Use this skill when you want to estimate the influence of individual training examples on model predictions for data debugging and selection. Avoid it when you cannot afford the compute for influence estimation or have too many training examples. ## Skill metadata - **Skill type**: influence-based-data-valuation - **Paper kind**: operational-method - **Actionability**: medium - **Evidence quality**: full_paper ## Goal Use influence functions to estimate the effect of individ

## Overview This skill defines the authoritative pedagogical standards and workspace architecture for the CS Wiki (`cs-first-principles`) project. ## Directory Structure & Folder Roles - `platform/`: Modern CS Wiki Web Application (React + Vite + TypeScript) containing interactive simulators, knowledge graph, complexity-calibrated question bank, and zoomable abstraction layers. - `cs-learning-platform.md`: Authoritative 20-Point Pedagogy Blueprint (Concept Maps, Interactive Diagrams, Animations,

Search for cheap flights to Canada from US cities, with comprehensive research methodology and booking strategies.

Builds reusable Convex components with isolated tables and app-facing APIs.

Use when working with error debugging multi agent review

Use for WelineFramework runtime and WLS work: worker, dispatcher, reload/restart, maintenance mode, process orchestration, state reset, session server, memory service, and runtime debugging. Trigger when the task mentions WLS, Worker, Dispatcher, `server:start`, `server:reload`, `server:restart`, maintenance, Session Server, StateManager, or process lifecycle issues.

Analyzes multiple provided pages to identify keyword overlap and

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility

Create an isolated workspace with repo copies and independent .planning/

2D game development principles. Sprites, atlases, tilemaps, physics, cameras, and genre patterns (platformer, top-down). Use for canvas/Phaser/Kaplay/Pixi 2D games or guest viewports inside hybrid web apps.

Proves the system works by writing and executing comprehensive test suites.

Orchestrator — select competitive-analysis frameworks, run them inline one per session, and synthesize market landscape findings

Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.

Domain expert in full-system testing with Playwright & Cypress

Use for Drip Builder work. Builder turns the user's selected Fashion Designer product images into a reviewed, deployed, one-page limited-drop site and writes builder-output.json.

Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.

## Overview This skill enables estimation in the domain of mathematical-physics (mathematics). It represents advanced-level expertise and is designed for production use in research, industry, and educational contexts. ## Description Use this skill when you need to perform estimation operations related to mathematical-physics. This includes tasks such as: - compute derivatives - analyze functions - analyze functions The skill leverages symbolic computation and follows best practices established i

Use when dividing an NDSS paper between the 13-page body, the Ethics Considerations section, references, and appendices — deciding what reviewers must see in-body, what the page-limit exclusions really buy, and how the camera-ready gains a 2-page artifact appendix.

## Purpose Measure honestly where your systems stand against a framework's control intent, so remediation is planned from evidence rather than discovered during an audit. ## Core Techniques ### 1. Draw the System Boundary First Scope decides everything downstream — cost, timeline, and how much of your estate an auditor examines. Write down, explicitly, which products, environments, data stores, networks, third parties, and staff are in scope, and what is excluded and why. Shrinking scope legitim

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## Overview This skill enables validation in the domain of black-holes (astronomy). It represents advanced-level expertise and is designed for production use in research, industry, and educational contexts. ## Description Use this skill when you need to perform validation operations related to black-holes. This includes tasks such as: - analyze spectra - calculate orbits - observe objects The skill leverages telescopes and follows best practices established in the astronomy community. ## Trigger

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Wire a workflow's Playwright (or other captured-log) failures into the PR conversation as a marker-tagged, secret-scrubbed comment via the `.github/actions/post-failure-comment` composite action. Use when adding a new long-running/Playwright workflow, when a workflow's failures are opaque to agents iterating on a PR, when the user asks to "make CI failures self-report", or when refactoring inline gitleaks-scrub-and-comment blocks into the shared action.

## Overview This skill enables optimization in the domain of fluid-mechanics (engineering). It represents advanced-level expertise and is designed for production use in research, industry, and educational contexts. ## Description Use this skill when you need to perform optimization operations related to fluid-mechanics. This includes tasks such as: - validate designs - simulate performance - optimize processes The skill leverages FEA tools and follows best practices established in the engineerin

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You are the master controller of the AI Dev Factory. You coordinate all other agents, track project state, and ensure the pipeline runs in the correct order from idea to shipped product. ## Your Role You are the **CEO + Project Manager** of the entire system. You never write code yourself. Your job is to direct the right agents at the right time, in the right order, and verify each step is complete before moving to the next. --- ## Agent Execution Order ### For a Full SaaS / Web App: ``` 1. prod

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility

Add moments of joy, personality, and unexpected touches that make interfaces memorable and enjoyable to use. Elevates functional to delightful. Use when the user asks to add polish, personality, animations, micro-interactions, delight, or make an interface feel fun or memorable.

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Use for the search-planning stage of a literature review, when database lanes and language layers must be chosen, when DOI coverage policy is unclear, or when inclusion and exclusion criteria need drafting before any source is read; not for running the screening and PRISMA pipeline of a formal review, which is prisma-scoping-review-pipeline.

Onboard a new VPS/node to the arifOS federation mesh. SSH key exchange, Tailscale/Headscale setup, organ registration, smoketest, notification

Perform deterministic Simplicio code changes and validation through the Dev CLI. Use for file edits, patches, implementation, formatting, tests, diagnostics, pre-effect validation, retries, evidence files, and safe mutation workflows. The agent decides intent; Dev CLI owns the mutation and verification.

Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC.

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility

Track deals through every stage from lead to close. Manage pipeline stages, update deal status, forecast revenue, and identify bottlenecks in your sales process.

Personal reminder system for tasks using cron jobs and systemEvents. Add tasks with natural language ("remind me to call Mom at 5pm tomorrow"), sets precise cron schedules, sends reminders via session message or notification. Handles lists, repeats, deletes. Use for todos, appointments, habits—silent backend ops ensure reliability without cluttering chat.

Native windows/splits/panes (absorb tmux). Load when touching multiplex module, keybinds, or session persistence.

Format and convert dates, times, and durations. Compute timezones, relative time, and weekday/month names in local language. Instruction-based — no exec or dependencies needed. Use when: (1) format a date or time, (2) convert timezone, (3) 'what time is it in Tokyo', (4) 'how many days until X', (5) locale-specific formatting, (6) relative time like '3 hours ago'. Homepage: https://clawhub.ai/skills/locale-dates

Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility

## Editor Optimization ### Reduce Visual Overhead ```json // settings.json { // Disable expensive features "editor.minimap.enabled": false, "editor.renderWhitespace": "none", "editor.renderLineHighlight": "none", "editor.roundedSelection": false, "editor.scrollBeyondLastLine": false, "editor.smoothScrolling": false, "breadcrumbs.enabled": false, // Reduce rendering "editor.cursorBlinking": "solid", "editor.cursorSmoothCaretAnimation": "off", // Limit tokenization "editor.maxTokenizationLineLengt

Use when you are a registered relay agent (a spawned worker, or a lead that called register_agent) coordinating with peers in real time over current Agent Relay MCP tools - messaging, channels, threads, reactions, search, inbox, actions, and worker spawn/release. For role selection and orchestrator startup instructions, use https://agentrelay.com/skill and the orchestrating-agent-relay skill.

`task-agent`/`review-agent`: use when structured errors, logs, correlation, redaction, propagation, or safe diagnostics change; skip when logging/error handling is unaffected.

AWS EC2 virtual machine management for instances, AMIs, and networking. Use when launching instances, configuring security groups, managing key pairs, troubleshooting connectivity, or automating instance lifecycle.

Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: \"Why is X failing?\", \"Where does this error come from?\", \"Trace this bug\"

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