Claude Skills by tools-only

Use when ideating solution concepts tied to top opportunities.

When browser automation fails or behaves unexpectedly.

This document outlines the standard workflow for analyzing single-cell RNA-seq data using scanpy.

```typescript import AsyncStorage from '@react-native-async-storage/async-storage';

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LLM used by *UI Agent* looks at the data structure, and uses it as one of the main clues (together with `User prompt`) to select UI component, so it is really important.

Comprehensive guide for styling and customizing matplotlib visualizations.

The DEX aggregator router follows a **fan-out/fan-in aggregation pattern** where multiple data sources are queried in parallel, results are normalized, and an optimization algorithm selects the best execution path.

Data Aggregation with Multi-Source Normalization

| Field | Value | |-------|-------| | **Skill Name** | analyzing-market-sentiment | | **Architecture Pattern** | Multi-Source Aggregation + Scoring | | **Version** | 2.0.0 | | **Author** | Jeremy Longshore <jeremy@intentsolutions.io> |

**Pattern**: Multi-Source Data Aggregation + Analysis Pipeline **Type**: Fetch → Normalize → Calculate → Analyze → Output

**Pattern**: Tax Calculation Pipeline **Type**: Batch Processing with Lot Tracking

``` Error: RPC request timed out Cause: Node unresponsive or network issues ``` **Solutions:** - Switch to backup RPC endpoint (see `config/settings.yaml`) - Increase timeout in requests (default 30s) - Verify network connectivity - Check if public RPC is rate-limited

Comprehensive error handling guide for the Market Sentiment Analyzer. ---

``` Error: requests.exceptions.Timeout: Request timed out after 30s ``` **Cause**: DeFiLlama API is slow or unavailable. **Solution**: - Script automatically uses cached data if available - Wait and retry if fresh data is needed - Check DeFiLlama status for outages

Synthesize discovery findings into a consolidated analysis document with proposed tickets

request_id = str(uuid.uuid4()) g.current_request_id = request_id if stream: return Response( handle_user_prompt(request_id, transformed_messages, stream=True), mimetype='text/event-stream' ) ``` 1. **Gateway Handoff:** The `handle_user_prompt` function in `workflow_gateway.py` receives the `request_id` and acts as the bridge to the logic engine, calling the `$WorkflowManager$`. 2. **Manager Setup:** The `$WorkflowManager$` (`workflow_manager.py`) is instantiated. It loads the relevant workflo...

- **Total Concepts**: 200 - **Number of Taxonomies**: 12 - **Average Concepts per Taxonomy**: 16.7

The **`JsonExtractor`** node is a utility for extracting a specific field from a JSON string. It takes a JSON object (or a string containing JSON, optionally wrapped in markdown code blocks), resolves any workflow variables, and returns the value of the specified field as a string. This is useful for parsing structured LLM outputs or extracting data from API responses within a workflow. ----- 1. **Configuration Loading:** The processor loads the `jsonToExtractFrom` and `fieldToExtract` fields...

The Offline Wikipedia nodes act as a tool for querying a local `OfflineWikipediaTextApi` instance. They allow your workflow to search for articles by topic and inject the text content as a variable for use in subsequent nodes, such as providing factual context to an LLM.

**Chapter:** 06 - Learning Graph Quality Validation **Generator:** chartjs-generator **Match Score:** 98/100 **Difficulty:** Medium

This document provides a comprehensive reference for all deepTools command-line utilities organized by category.

**Cause:** Not enough traffic for Smart Placement to analyze **Solution:** - Ensure Worker receives consistent global traffic - Wait longer (analysis takes up to 15 minutes) - Send test traffic from multiple global locations - Check Worker has fetch event handler

**Cause:** Bot Management didn't run (internal Cloudflare request, Worker routing to zone (Orange-to-Orange), or request handled before BM (Redirect Rules, etc.)) **Solution:** Check request flow and ensure Bot Management runs in request lifecycle

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Create parallel worktrees for multi-task development with Ghostty panels

Use when you need to analyze direct and indirect competitors, benchmark against market leaders, or develop strategies to strengthen competitive positioning and market advantage. Specifically:\\n\\n<example>\\nContext: A SaaS company wants to understand how they compare to three main competitors in feature set, pricing, and market positioning to guide their product roadmap.\\nuser: \"We need a competitive analysis of our top 3 rivals. How do we compare on features, pricing, and market position...

Use this agent when you need to analyze markets, understand consumer behavior, assess competitive landscapes, and size opportunities to inform business strategy and market entry decisions. Specifically:\\n\\n<example>\\nContext: A startup is planning to enter a new industry segment and needs comprehensive market sizing and opportunity analysis.\\nuser: \"We're considering entering the smart home healthcare market. Can you analyze market size, growth trends, and key competitors?\"\\nassistant:...

Use when analyzing emerging patterns, predicting industry shifts, or developing future scenarios to inform strategic planning and competitive positioning. Specifically:\\n\\n<example>\\nContext: A software company wants to understand how their market will evolve over the next 3-5 years to guide product investment decisions.\\nuser: \"Our board is asking where the software development market is headed. What trends should we capitalize on to stay competitive?\"\\nassistant: \"I'll conduct a com...

Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making. Specifically:\\n\\n<example>\\nContext: You have customer transaction data and need to understand which product segments drive the most revenue and profitability.\\nuser: \"I need to analyze our sales data to identify high-margin product categories and customer segments. We have SQL access to our warehouse and want actionable insights.\"\\nassist...

Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets. Invoke this agent for exploratory analysis, hypothesis testing, machine learning model development, and translating findings into business recommendations. Specifically:\\n\\n<example>\\nContext: Product team wants to understand why customer churn increased 15% last month and identify actionable retention levers.\\nuser: \"We're seeing higher churn recently. Can you a...

Use this agent when you need to discover, collect, and validate data from multiple sources to fuel analysis and decision-making. Invoke this agent for identifying data sources, gathering raw datasets, performing quality checks, and preparing data for downstream analysis or modeling. Specifically:\\n\\n<example>\\nContext: A data scientist needs access to customer behavior data across multiple sources. The data scientist asked you to find and compile raw customer interaction logs, transaction ...

**Status**: Accepted **Date**: 2024-12-27

Use this agent when you need comprehensive research across multiple sources with synthesis of findings into actionable insights, trend identification, and detailed reporting. Specifically:\\n\\n<example>\\nContext: A company is planning to enter a new technology market and needs deep research on market size, competitors, technologies, and growth trends.\\nuser: \"Research the current state of the AI-assisted code generation market. We need to understand market size, key competitors, technolog...

Use this agent when designing visual interfaces, creating design systems, building component libraries, or refining user-facing aesthetics requiring expert visual design, interaction patterns, and accessibility considerations. Specifically:\n\n<example>\nContext: Product team needs a complete design system for a new fintech application with dark mode, multiple device sizes, and strict accessibility requirements.\nuser: \"We need to create a comprehensive design system for our fintech app. Inc...

Use this agent when you need to audit dependencies for vulnerabilities, resolve version conflicts, optimize bundle sizes, or implement automated dependency updates. Specifically:\\n\\n<example>\\nContext: A project has accumulated security vulnerabilities in its dependency tree that need immediate remediation.\\nuser: \"We have 12 high-severity CVEs in our dependencies. Can you help fix them?\"\\nassistant: \"I'll use the dependency-manager agent to scan all vulnerabilities, assess their impa...

Use this agent when you need to diagnose why errors are occurring in your system, correlate errors across services, identify root causes, and prevent future failures. Specifically:\\n\\n<example>\\nContext: Production system is experiencing intermittent failures across multiple microservices with unclear root cause.\\nuser: \"We have 50+ errors per minute in production with timeout exceptions in the API gateway, database connection errors, and queue failures. The incidents started after a dep...

Use this agent when you need to create, improve, or maintain technical documentation including API references, user guides, SDK documentation, and getting-started guides. Specifically:\\n\\n<example>\\nContext: A development team has completed a new REST API but lacks documentation. The API includes 12 endpoints with varying authentication methods and rate limits.\\nuser: \"We need comprehensive documentation for our new payment API. It has 12 endpoints and needs guides for different user typ...

Use for managing shared state, information retrieval, and data synchronization when multiple agents need coordinated access to context and metadata. Specifically:\\n\\n<example>\\nContext: A multi-agent workflow is underway with 5 specialized agents (code-reviewer, test-automator, security-auditor, performance-monitor, documentation-engineer) working on different aspects of a pull request. Each agent needs consistent access to the same codebase state, previous findings, and shared insights.\\...

Use when you need to extract actionable patterns from agent interactions, synthesize insights across multiple workflows, and enable organizational learning from collective experience. Specifically:\\n\\n<example>\\nContext: A multi-agent development team has completed 50+ code reviews across 15 projects over 3 months. Each code-reviewer agent documented findings, performance-engineer logged metrics, and security-auditor captured vulnerabilities. The team needs to identify common patterns, ext...

Use when establishing observability infrastructure to track system metrics, detect performance anomalies, and optimize resource usage across multi-agent environments. Specifically:\\n\\n<example>\\nContext: A distributed multi-agent system is processing hundreds of concurrent tasks across 50+ agents (backend-developer, frontend-developer, test-automator, code-reviewer, security-auditor, etc.). There is no current monitoring visibility, making it impossible to identify which components are slo...

Use this agent when implementing real-time bidirectional communication features using WebSockets, Socket.IO, or similar technologies at scale. Specifically:\\n\\n<example>\\nContext: Building a collaborative editing platform that requires sub-100ms message delivery to thousands of concurrent users.\\nuser: \"I need to implement a WebSocket-based backend for real-time collaboration. We expect 5K concurrent connections with 100 messages per second across all users.\"\\nassistant: \"I'll archite...

Quick reference for the Figma MCP toolset, when to use each tool, and prompt examples to steer output toward your stack.

UITree is a flat JSON structure representing a component hierarchy. It's designed for LLM generation—flat structure avoids deep nesting issues with streaming and parsing.

Unsupervised learning discovers patterns in unlabeled data through clustering, dimensionality reduction, and density estimation.

Claude Code v2.0.36 Sonnet 4.5 · Claude Pro !!! prompt Please review all the skills in the skills directory. Then update the docs/skill-descriptions documentation. Make sure that the file docs/skill-descriptions/index.md has a single sentence description and links to a full-page description file in the docs/skill-descriptions directory. ⏺ I'll review all the skills and update the documentation. Let me start by exploring the skills directory and the current documentation structure. ⏺ Bash(ls...

Expert UX Designer with 30 years of experience in user experience and product design. Provides UX strategy, design critique, and usability guidance. Advisory only - does not modify code.

Generates comprehensive exploratory data analysis reports using ydata-profiling, a battle-tested library with 12.5k+ GitHub stars.

Flowchart template for visualizing Salesforce role hierarchies and permission structures.

The vis-network skill creates educational MicroSims using the vis-network JavaScript library for interactive network and graph visualizations. Each MicroSim is a directory in `/docs/sims/` with a main.html file that can be embedded via iframe in educational content.