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agentdb-advanced
A comprehensive skill covering advanced AgentDB features for distributed AI systems, offering detailed guidance on QUIC synchronization, custom distance metrics, hybrid search, and multi-database management with practical code examples.
document-pdf
Provides code examples for common PDF tasks across Node.js and Python, covering creation, text extraction, table parsing, merging, splitting, and form handling. Includes library selection guidance and modern best practices for PDF workflows.
data-lake-platform
Provides detailed reference for building data lakes and lakehouses with specific tool recommendations, decision trees, and architecture patterns. Includes practical templates for ingestion, transformation, storage, and query layers with clear guidance on when to use each technology.
MCP OAuth Cloudflare
Add OAuth authentication to MCP servers on Cloudflare Workers. Uses @cloudflare/workers-oauth-provider with Google OAuth for Claude.ai-compatible authentication. Prevents 9 documented errors including RFC 8707 audience bugs, Claude.ai connection failures, and CSRF vulnerabilities. Use when building MCP servers that need user authentication, implementing Dynamic Client Registration (DCR) for Claude.ai, or replacing static auth tokens with OAuth flows. Includes workarounds for production redirect URI mismatches and re-auth loop issues.
openai-responses
Build agentic AI with OpenAI Responses API - stateful conversations with preserved reasoning, built-in tools (Code Interpreter, File Search, Web Search), and MCP integration. Prevents 11 documented errors. Use when: building agents with persistent reasoning, using server-side tools, or migrating from Chat Completions/Assistants for better multi-turn performance.
dbt-materializations
This skill provides detailed guidance on selecting and implementing dbt materialization strategies. It covers ephemeral, view, table, incremental, snapshot, and Python models with concrete examples, decision matrices, and practical implementation advice for data engineers working with dbt.
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
benchling-integration
Provides Python SDK integration for Benchling's life sciences R&D platform. Enables programmatic management of DNA/protein registries, inventory systems, electronic lab notebooks, and workflow automation. Includes authentication setup, entity CRUD operations, pagination handling, and error management for scientific data pipelines.
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.
sveltekit-data-flow
Provides clear guidance on SvelteKit's data flow patterns, specifically when to use server vs universal load functions and how to handle form actions. Includes practical examples for fail(), redirect(), and error() usage with common mistakes highlighted.
nano-banana-pro
A CLI wrapper for Google's Gemini 3 Pro Image API that generates and edits images. It saves files locally, supports 1K-4K resolutions, and outputs a MEDIA: line for automatic attachment in chat interfaces. Requires a GEMINI_API_KEY and uv package manager.
latchbio-integration
Provides guidance for using Latch, a Python framework for building and deploying bioinformatics workflows as serverless pipelines. Covers workflow creation with decorators, cloud data management, resource configuration, and integration with Nextflow/Snakemake. Includes practical examples for RNA-seq, GPU tasks, and registry integration.
drizzle-orm-d1
Build type-safe D1 databases with Drizzle ORM. Includes schema definition, migrations with Drizzle Kit, relations, and D1 batch API patterns. Prevents 18 errors including SQL BEGIN failures, cascade data loss, 100-parameter limits, and foreign key issues. Use when: defining D1 schemas, managing migrations, bulk inserts, or troubleshooting D1_ERROR, BEGIN TRANSACTION, foreign keys, "too many SQL variables".
openai-agents
Build AI applications with OpenAI Agents SDK - text agents, voice agents, multi-agent handoffs, tools with Zod schemas, guardrails, and streaming. Prevents 11 documented errors. Use when: building agents with tools, voice agents with WebRTC, multi-agent workflows, or troubleshooting MaxTurnsExceededError, tool call failures, reasoning defaults, JSON output leaks.
reasoningbank-intelligence
This skill implements a ReasoningBank system for AI agents to learn from task outcomes, recognize patterns, and optimize strategies. It provides methods for recording experiences, recommending approaches, and enabling continuous improvement through meta-learning and transfer learning capabilities.
openrouter-trending-models
This skill fetches weekly trending programming models from OpenRouter rankings, providing model IDs, context windows, pricing, and usage stats. It helps developers select appropriate AI models for code review tasks and cost optimization. The script outputs structured JSON with metadata and summary statistics.
cross-plugin-detective
A well-structured integration guide that standardizes detective skill usage across plugins, enforcing indexed memory patterns and providing clear role-to-skill mappings for consistent code investigation workflows.
claudish-usage
A skill for AI agents to delegate Claude Code execution to external models via Claudish CLI, enforcing sub-agent patterns to prevent context pollution. It provides decision trees, agent selection guides, and file-based workflows for using models like Grok, GPT-5, and Gemini through OpenRouter.
video-subtitle-cutter
A powerful AI-powered video editing tool that automates the removal of filler words and pauses from videos using speech transcription and intelligent analysis.
elixir-architect
This skill generates structured documentation and project templates for Elixir applications following Dave Thomas's multi-app approach. It creates comprehensive directory layouts, Architecture Decision Records, and guardrails for AI collaboration workflows. The output includes concrete code examples for patterns like Ecto.Multi, Oban jobs, and state machine validation.
github-code-review
This skill orchestrates AI agents to review GitHub pull requests. It uses specialized reviewers for security, performance, and style checks, integrates with GitHub CLI, and posts findings as PR comments. The documentation includes troubleshooting guides and example workflows.
remembering
Provides persistent memory storage and task handoff between Claude.ai and Claude Code environments via Turso SQLite backend. Implements config KV store, tagged memory recall, background writes, and versioned handoff completion tracking.
agentdb-memory-patterns
Provides memory management patterns for AI agents using AgentDB's persistent storage. Offers session memory, long-term storage, pattern learning, and context management. Includes CLI tools, API examples, and integration with reasoning agents. Supports multiple learning algorithms and performance optimization.
xsv
This skill provides detailed guidance for using xsv, a fast Rust-based CSV toolkit. It covers 20+ commands for selection, filtering, statistics, joining, and sorting operations. The documentation includes practical examples, performance tips, and integration patterns with other Unix tools.