“langchain”

Framework for building LLM-powered applications with agents, chains, and RAG.

LangChain/LangGraph/DeepAgents knowledge + LangGraph agent debugging (Polly-like)

Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns.

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio.

Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.

Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML.

Discover plugins from configured dcode marketplaces when a capability is missing or the user asks about available, disabled, or not-yet-installed plugins and…

Inspect and explain conversations in the local Deep Agents Code SQLite session store.

Review Talon tool placement and defensive prompts when requested or when adding or changing tools or subagents; apply confirmed changes and verify active…

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations.

Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic.

Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation.

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF.

Use for creating publication-quality charts and multi-panel analysis summaries.

Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing.

Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries.

Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback —…

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database.

Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images.

Capture a Textual terminal UI as an SVG using its headless test harness.

Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents.

Check secret handling, staged changes and push targets, destructive Git operations, Docker image hygiene, and new dependencies before consequential coding…

Perform a market analysis for a product category or segment.