Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.

Search for research papers across academic databases

Execute a named script defined in .aiwg/aiwg.config or list all available scripts

Project directory path (default current directory)

Disable soul enforcement without deleting SOUL.md or soul files

Trigger Tree of Thoughts exploration when agents face architectural decisions with multiple valid approaches

Verify citations against the research corpus to prevent hallucinated references and enforce GRADE compliance

Report on research corpus health, completeness, and integrity

Scaffold a PROF-S source/curator profile for a research-corpus discovery curator (account/feed) from its handle. Runs via `aiwg corpus curator-init`.

Report research-corpus discovery curators (PROF-S) ranked by yield (return-to score = inducted-ref-count × avg GRADE), with revisit-cadence staleness and a discovery-orphan check. Runs via `aiwg corpus curator-status`.

Interactive tuning of Verbalized Sampling diversity parameters with preset management and A/B comparison

Display all available AIWG CLI commands, their arguments, and usage examples

List the frameworks and addons currently installed in the workspace registry

Generate traceability report from @-mentions

Analyze codebase and inject @-mentions for traceability

Report research-corpus entity profiles (PROF-P/O/G/F) past their refresh cadence. Computes staleness via the shared cadence helper, sorted most-overdue-first. Runs via `aiwg corpus profile-status`.

Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.

Create a W3C PROV-compliant provenance record for an artifact

Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.

Remove a deployed framework or addon from the current workspace

Display the current AIWG version, release channel, and installation path

AIWG-specific delivery pull request workflow; explicit alias for aiwg-pr, not a generic repository PR guide

Create a Product Requirements Document (PRD) for a product feature

Create a new AIWG addon with AI-guided setup

Execute tests on generated code and iterate until passing

Validate all @-mentions resolve to existing files

Plan iterations, delegate to SDLC agents, and compile iteration status

Detect co-author communities (label propagation), report modularity Q, and identify bridge authors (high betweenness). Runs via `aiwg corpus profile-communities`.

Query provenance chains to trace artifact derivation and impact

Validate provenance records and chains for completeness and consistency

Perform GRADE quality assessment on a research source

Regenerate AGENTS.md for Factory AI with hook file architecture

Check a file for citation quality and GRADE compliance

Generate corpus-wide GRADE quality distribution report

Guidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databases

Sass (indented syntax) best practices and coding guidelines for clean, maintainable stylesheets

Elasticsearch development best practices for indexing, querying, and search optimization

Expert guidance for browser automation using Puppeteer with best practices for web scraping, testing, screenshot capture, and JavaScript execution in headless Chrome.

Expert guidelines for building performant animations with Motion (formerly Motion One) vanilla JavaScript animation library

Best practices and guidelines for esbuild, the ultra-fast JavaScript and TypeScript bundler and minifier

Best practices and guidelines for Apache Kafka event streaming and distributed messaging

Guidelines for building modern APIs with Koa.js and TypeScript, featuring the onion middleware model and async/await patterns

Best practices and guidelines for Parcel, the zero-configuration web application bundler

Best practices and guidelines for RabbitMQ message queue development with AMQP protocol

Expert guidance for Remix development with TypeScript, loaders/actions, nested routes, and full-stack web application best practices

Expert guidelines for building performant animations with Anime.js animation library

Guidelines for building high-performance APIs with Fastify and TypeScript, covering validation, Prisma integration, and testing best practices

GitHub best practices for pull requests, code reviews, issues, Actions workflows, and repository management

Best practices and guidelines for building high-performance services with gRPC and Protocol Buffers

Implement localization (l10n) best practices to adapt applications for specific regions, languages, and cultural preferences.

Expert guidelines for implementing performant Lottie animations on the web

Best practices and guidelines for MQTT messaging in IoT and real-time communication systems

Best practices and guidelines for Rollup.js module bundler configuration, ES modules, and library bundling

Sanity CMS development guidelines for schema creation, GROQ queries, TypeScript integration, and project organization

Expert guidance for Vite development with modern build tooling, HMR, framework integrations, and performance optimization

Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.

Git conventions and workflow guidelines using Conventional Commits, branching strategies, and best practices for version control

Expert guidelines for building high-performance animations with GSAP (GreenSock Animation Platform)

Implement internationalization (i18n) best practices for web and mobile applications to support multiple languages and locales.

Expert guidance for building web scrapers and crawlers using the Scrapy Python framework with best practices for spider development, data extraction, and pipeline management.

Best practices and guidelines for Webpack module bundler configuration, optimization, and development workflows

Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Guidelines for Flask Python development with best practices for blueprints, RESTful APIs, and application factories.

Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python

Monitoring guidelines for applications and infrastructure including metrics collection, alerting strategies, and SLO-based monitoring

Expert guidance for natural language processing development using transformers, spaCy, NLTK, and modern NLP techniques.

Expert guidance for Odoo ERP development including Python ORM, XML views, and module architecture

Best practices for Pandas data manipulation, analysis, and DataFrame operations in Python

Best practices for pnpm package manager, workspace management, and monorepo configuration

Expert guidance for Quarkus framework development with Jakarta EE, MicroProfile, GraalVM native builds, and reactive programming patterns

Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python

Best practices for SciPy scientific computing, optimization, signal processing, and statistical analysis in Python

Expert SwiftUI development guidelines with MVVM architecture and modern Swift best practices

Best practices and guidelines for building real-time applications with WebSocket communication

Expert guidance for Microsoft Dynamics 365 Business Central development using AL language and extensions

Guidelines for implementing Clean Architecture patterns in Flutter and Go applications, with emphasis on separation of concerns, dependency rules, and testability.

Guidelines for modern C++ development with C++17/20 standards, memory safety, and performance optimization

Electron development guidelines for building cross-platform desktop applications with JavaScript/TypeScript

Expert guidance for game development with C#/Unity, Lua scripting, and best practices for scalable game architecture

Ionic development guidelines for building cross-platform mobile applications with Angular, Cordova, and Firebase integration.

Best practices for Lerna monorepo management, versioning, and publishing

Logging best practices for applications and services including structured logging, log levels, and log management strategies

Best practices for NumPy array programming, numerical computing, and performance optimization in Python

Best practices for Nx monorepo development, project configuration, and code generation

Observability guidelines for distributed systems using OpenTelemetry, tracing, metrics, and structured logging

Phoenix framework development guidelines covering LiveView, Ecto, real-time features, and best practices for building scalable web applications with Elixir.

Expert guidance for Pixi.js game development with TypeScript, focusing on high-performance web and mobile games

Guidelines for building RoboCorp RPA automation with Python, emphasizing functional programming, Pydantic validation, and async operations.

Ruby development guidelines covering idiomatic code style, Ruby 3.x features, testing with RSpec, and best practices for building maintainable Ruby applications.

Expert guidance for Salesforce development including Apex, Lightning Web Components, and metadata best practices

Expert Shopify theme development with Liquid, Online Store 2.0, and performance best practices

Expert in Angular TypeScript development with scalable, high-performance patterns

Expert guidance for Angular and TypeScript development focused on scalable, high-performance web applications

Bootstrap development guidelines for responsive layouts, components, and utility-first styling.

Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Comprehensive deep learning guidelines for neural network development, training, and optimization.