nx-generate
Generate code using nx generators. INVOKE IMMEDIATELY when user mentions scaffolding, setup, structure, creating apps/libs, or setting up project structure. Trigger words - scaffold, setup, create a new app, create a new lib, project structure, generate, add a new project. ALWAYS use this BEFORE calling nx_docs or exploring - this skill handles discovery internally.
nx-import
Import, merge, or combine repositories into an Nx workspace using nx import. USE WHEN the user asks to adopt Nx across repos, move projects into a monorepo, or bring code/history from another repository.
nx-plugins
Find and add Nx plugins. USE WHEN user wants to discover available plugins, install a new plugin, or add support for a specific framework or technology to the workspace.
nx-run-tasks
Helps with running tasks in an Nx workspace. USE WHEN the user wants to execute build, test, lint, serve, or run any other tasks defined in the workspace.
nx-workspace
Explore and understand Nx workspaces. USE WHEN answering questions about the workspace, projects, or tasks. ALSO USE WHEN an nx command fails or you need to check available targets/configuration before running a task. EXAMPLES: 'What projects are in this workspace?', 'How is project X configured?', 'What depends on library Y?', 'What targets can I run?', 'Cannot find configuration for task', 'debug nx task failure'.
author-migration
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check-docs-style
Check modified Nx documentation pages against the astro-docs style guide. Auto-trigger after writing or editing docs content in the nx repo. Also trigger on "check style", "style guide", "docs review", "validate docs". Should run as a final step whenever docs files are modified. IMPORTANT: anytime astro-docs/**/*.mdoc files are modified, this should always run automatically without being asked.
dist-build-migration
Migrate an Nx package to build to a local dist/ directory with nodenext module resolution, exports map, and @nx/nx-source condition.
docs-website-update
Sync docs commits from `master` out to the live docs branches in the nx repo: cherry-picks `docs(` / `feat(nx-dev)` commits onto `website-<major>` AND the latest `<major>.<minor>.x` release branch. Use when "update the docs branch", "update nx.dev", "push the latest docs changes out", "cherry-pick docs commits", "sync website-23", "ship docs to the website branch", "update the docs website", "get docs onto the release branch", or any request to move already-merged docs commits from master onto the branches that deploy them.
grill-me
Grill the user relentlessly about a plan, design, decision, or set of review findings — working the decision tree in rounds until nothing is left silently assumed. Use when the user wants to stress-test their thinking, says "grill me", or when another skill (for example /review-pr) delegates its evaluation pass here.
multi-version-compliance
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nx-multi-repo-migrate
Migrate several repos to a target nx version (e.g. 23.0.0-beta.25) in one coordinated pass — delegates `nx migrate` + migrations to a Polygraph child agent per repo, then pushes branches and opens linked draft PRs. Use when asked to upgrade/migrate multiple repos to a specific nx version, or when working a Polygraph session whose goal is an nx version bump across repos.
reproduce-issue
The single skill for reproducing an nx issue. Given a GitHub issue number (human entry) OR explicit repro parameters (agent entry), it runs the reproduction ENTIRELY inside an isolated Docker sandbox — gVisor on Linux, the Docker VM on macOS — so the untrusted repro's install scripts and commands never execute on the host, then reports whether it reproduces. Called by humans via "/reproduce-issue #N", "reproduce this bug", "does this reproduce", and by the reproduce-verifier agent (Level 2). Nothing lands on the host.
review-local-branch
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review-pending-pr-reviews
Review, grill, edit, and post pending PR review drafts saved by /review-pr (or its batch/cron runners). Lists drafts that have not yet been posted, walks the maintainer through each finding, then posts, closes, or discards. Use when the user says "post my pending reviews", "what reviews are waiting", "go through the review outbox", or invokes /review-pending-pr-reviews.
review-pr
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update-cnw-templates
Update the CNW (create-nx-workspace) template repos (nrwl/empty-template, nrwl/react-template, etc.) to a target nx version via nx migrate, verify each repo, and open a PR per repo. Clones repos it needs - assumes no local checkout. Use when asked to "update the CNW templates", "migrate the templates to nx X", "bump the template repos", or given a version like "update templates to 23.2.0".
vitest-migration
Migrate an Nx repo package's unit tests from Jest to Vitest, reusing the shared setup that packages/workspace established. Use when asked to "move <pkg> to vitest", "migrate <pkg> tests off jest", or "run <pkg> unit tests with vitest".
nx-gradle-plugin-version-bump
Bump the dev.nx.gradle.project-graph plugin version. Use when updating the Gradle project graph plugin version across the codebase, creating the migration files, and updating migrations.json.
ci-monitor
Monitor Nx Cloud CI pipeline and handle self-healing fixes automatically. Checks for Nx Cloud connection before starting.
run-nx-generator
Run Nx generators with prioritization for workspace-plugin generators. Use this when generating code, scaffolding new features, or automating repetitive tasks in the monorepo.
competitor-analysis
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arxiv-search
Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.
configuration-hardening
Review Talon tool placement and defensive prompts when requested or when adding or changing tools or subagents; apply confirmed changes and verify active capabilities.
skill-creator
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".
remember
Review the current conversation and capture valuable knowledge — best practices, coding conventions, architecture decisions, workflows, and user feedback — into persistent memory (AGENTS.md) or reusable skills. Use when the user says: (1) remember this, (2) save what we learned, (3) update memory, (4) capture learnings.
deepagents-thread-inspector
Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse $DEEPAGENTS_HOME/.state/sessions.db and a thread UUID or prefix.
schema-exploration
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
query-writing
Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database, write SQL, run a SELECT statement, retrieve data, filter records, or generate reports from database tables.
gpu-document-processing
Use when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.
blog-post
Writes and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.
social-media
Drafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.
textual-screenshot
Capture a Textual terminal UI as an SVG using its headless test harness. Use when asked to make, attach, or preview a screenshot of deepagents-code/dcode or another Textual app, visually verify a TUI state, or render a modal, screen, or widget without a desktop or browser.
code-review
Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
coding-prefs
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 durable feedback.
data-visualization
Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.
langgraph-docs
Fetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.
cuml-machine-learning
Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.
web-research
Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.
planning
Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.
cudf-analytics
Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.
analyze-market
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crewai-multi-agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
autonomous-agent-patterns
Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.
autonomous-agents
Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b
context7-auto-research
Automatically fetch latest library/framework documentation for Claude Code via Context7 API
llamaindex
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
difficult-workplace-conversations
Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.
Data Privacy Compliance
Data privacy and regulatory compliance specialist for GDPR, CCPA, HIPAA, and international data protection laws. Use when implementing privacy controls, conducting data protection impact assessments, ensuring regulatory compliance, or managing data subject rights. Expert in consent management, data minimization, and privacy-by-design principles.
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