wshobson/agents plugin for Grok Build

Community Claude Code plugin, installs in GrokPluginDevelopment

Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi

How to install wshobson/agents in Grok Build

1. Add this repo as a plugin marketplace in Grok Build (once per computer):

grok plugin marketplace add wshobson/agents

2. Install the plugin:

grok plugin install documentation-standards@wshobson/agents --trust
✓ Install-checked in Grok Buildchecked Oct 18, 2026

Review before you trust it. --trust lets this plugin's hooks, MCP servers and scripts run code on your computer. It's a community repo that neither xAI nor GrokStacks has reviewed, so read its code first.

This repo's marketplace has 94 plugins; we checked code-documentation, debugging-toolkit, documentation-standards. Install another the same way: grok plugin install <name>@wshobson/agents --trust (names under 'What it contains'). Then start a new Grok session, or press r in /plugins, to load it.

Inside Grok Build: type /plugins, open the Marketplace tab, press a and add wshobson/agents, then select documentation-standards and press i.

Command format: Grok Build's plugin guide

What we checked: on Oct 18, 2026 it installed with grok 1.0.62 and Grok found 5 skills, 3 slash commands, 2 subagents. That's an install check only: we haven't run it in a live Grok session.

What it contains

Skills (5)

  • grounded-vault — Use when maintaining a durable Markdown knowledge store that agents compile from sources, when every number or quote in a wiki page must trace back to an immutable source, or when compiled pages need cheap drift detection against the code t
  • hads — Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.
  • code-explain — Explain complex code, algorithms, and design patterns with step-by-step breakdowns, visual diagrams, and interactive examples
  • doc-generate — Generate API, architecture, code, and user documentation from a codebase and automate keeping it current
  • smart-debug — AI-assisted smart debugging — parse error messages, stack traces, and failure patterns to identify root causes and produce a fix with automated observability steps.

Subagents (5)

  • code-documentation:code-documentation-code-reviewer — Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanni
  • code-documentation:code-documentation-docs-architect — Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. Use PROACTI
  • code-documentation:code-documentation-tutorial-engineer — Creates step-by-step tutorials and educational content from code. Transforms complex concepts into progressive learning experiences with hands-on examples. Use PROACTIVELY for onboarding guides, featu
  • debugging-toolkit:debugging-toolkit-debugger — Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
  • debugging-toolkit:debugging-toolkit-dx-optimizer — Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed.

Plugins in this marketplace (60)

  • documentation-standards — HADS (Human-AI Document Standard) — semantic tagging convention for docs that work for both humans and AI models — plus the grounded-vault pattern for provenance-linked, drift-checked knowledge stores.
  • code-documentation — Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation
  • debugging-toolkit — Interactive debugging, developer experience optimization, and smart debugging workflows
  • git-pr-workflows — Git workflow automation, pull request enhancement, and team onboarding processes
  • operating-kit — Portable operating method: session lifecycle agents, pre-ship code review, deploy with live verification and state doc update, and production log health check
  • backend-development — Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
  • frontend-mobile-development — Frontend UI development and mobile application implementation across platforms
  • full-stack-orchestration — End-to-end feature orchestration with testing, security, performance, and deployment
  • unit-testing — Unit and integration test automation for Python and JavaScript with debugging support
  • tdd-workflows — Test-driven development methodology with red-green-refactor cycles and code review
  • code-refactoring — Code cleanup, refactoring automation, and technical debt management with context restoration
  • dependency-management — Dependency auditing, version management, and security vulnerability scanning
  • error-debugging — Error analysis, trace debugging, and multi-agent problem diagnosis
  • team-collaboration — Team workflows, issue management, standup automation, and developer experience optimization
  • llm-application-dev — LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4
  • llm-finetuning — Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP
  • agent-orchestration — Multi-agent system optimization, agent improvement workflows, and context management
  • context-management — Context persistence, restoration, and long-running conversation management
  • machine-learning-ops — ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
  • data-engineering — ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
  • incident-response — Production incident management, triage workflows, and automated incident resolution
  • error-diagnostics — Error tracing, root cause analysis, and smart debugging for production systems
  • distributed-debugging — Distributed system tracing and debugging across microservices
  • observability-monitoring — Metrics collection, logging infrastructure, distributed tracing, SLO implementation, and monitoring dashboards
  • deployment-strategies — Deployment patterns, rollback automation, and infrastructure templates
  • deployment-validation — Pre-deployment checks, configuration validation, and deployment readiness assessment
  • kubernetes-operations — Kubernetes manifest generation, networking configuration, security policies, observability setup, GitOps workflows, and auto-scaling
  • cloud-infrastructure — Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization
  • cicd-automation — CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration
  • application-performance — Application profiling, performance optimization, and observability for frontend and backend systems
  • database-cloud-optimization — Database query optimization, cloud cost optimization, and scalability improvements
  • comprehensive-review — Multi-perspective code analysis covering architecture, security, and best practices
  • performance-testing-review — Performance analysis, test coverage review, and AI-powered code quality assessment
  • framework-migration — Framework updates, migration planning, and architectural transformation workflows
  • codebase-cleanup — Technical debt reduction, dependency updates, and code refactoring automation
  • database-design — Database architecture, schema design, and SQL optimization for production systems
  • database-migrations — Database migration automation, observability, and cross-database migration strategies
  • security-scanning — SAST analysis, dependency vulnerability scanning, OWASP Top 10 compliance, container security scanning, and automated security hardening
  • security-compliance — SOC2, HIPAA, and GDPR compliance validation, secrets scanning, compliance checklists, and regulatory documentation
  • backend-api-security — API security hardening, authentication implementation, authorization patterns, rate limiting, and input validation
  • frontend-mobile-security — XSS prevention, CSRF protection, content security policies, mobile app security, and secure storage patterns
  • data-validation-suite — Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs
  • api-scaffolding — REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
  • api-testing-observability — API testing automation, request mocking, OpenAPI documentation generation, observability setup, and monitoring
  • seo-content-creation — SEO content writing, planning, and quality auditing with E-E-A-T optimization
  • seo-technical-optimization — Technical SEO optimization including meta tags, keywords, structure, and featured snippets
  • seo-analysis-monitoring — Content freshness analysis, cannibalization detection, and authority building for SEO
  • documentation-generation — OpenAPI specification generation, Mermaid diagram creation, tutorial writing, API reference documentation
  • c4-architecture — Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
  • avoid-ai-writing — Audit and rewrite prose that reads as machine-generated, across READMEs, changelogs, PR descriptions, docs, and blog copy, with detect-only, rewrite, and edit-in-place modes.
  • multi-platform-apps — Cross-platform application development coordinating web, iOS, Android, and desktop implementations
  • business-analytics — Business metrics analysis, KPI tracking, financial reporting, and data-driven decision making
  • startup-business-analyst — Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research for early-stage companies
  • before-you-build — Pre-build product risk review for founders, product teams, and AI-assisted builders before implementation starts
  • hr-legal-compliance — HR policy documentation, legal compliance templates (GDPR/SOC2/HIPAA), employment contracts, and regulatory documentation
  • customer-sales-automation — Customer support workflow automation, sales pipeline management, email campaigns, and CRM integration
  • content-marketing — Content marketing strategy, web research, and information synthesis for marketing operations
  • social-publishing — Schedule and publish social media posts across 13 platforms (X, LinkedIn Profile + Page, Instagram Business + Standalone, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via SocialClaw — one workspace API key covers everything
  • hermes-tweet — Hermes Agent plugin for public X/Twitter research and approval-gated private or state-changing operations through Hermes Tweet
  • blockchain-web3 — Smart contract development with Solidity, DeFi protocol implementation, NFT platforms, and Web3 application architecture

About this listing

wshobson/agents is a community plugin on GitHub by wshobson, written as a Claude Code plugin that Grok Build installs. We install-checked it in Grok; we haven't run it in a live session or reviewed its code. When we installed it, Grok found 5 skills, 5 subagents, 60 plugins in this marketplaces. Its license is MIT. We checked commit 0874a27b17a2. It's one of 409 listings in the Development category on GrokStacks.

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wshobson/agents FAQ

How do I install wshobson/agents in Grok Build?

Add the repo as a marketplace with grok plugin marketplace add wshobson/agents, then run grok plugin install documentation-standards@wshobson/agents --trust. This repo's marketplace has 94 plugins; we checked code-documentation, debugging-toolkit, documentation-standards. Install another the same way: grok plugin install <name>@wshobson/agents --trust (names under 'What it contains'). Then start a new Grok session, or press r in /plugins, to load it.

Is wshobson/agents an official Grok Build plugin?

No. wshobson/agents is a community plugin on GitHub by wshobson, not in xAI's official Grok Build marketplace. We checked that it installs and what Grok loads from it, but haven't run it in a live Grok session or reviewed its code.

What does wshobson/agents include?

According to what Grok loaded in our install check, wshobson/agents includes 5 skills, 5 subagents, 60 plugins in this marketplaces: grounded-vault, hads, code-explain, doc-generate, smart-debug, code-documentation:code-documentation-code-reviewer….

Details

Type
Plugin
Category
Development
Source
Community Claude Code plugin, installs in Grok
License
MIT
Author
wshobson
Keywords
agent-skills, agentic-ai, ai-agents, anthropic, antigravity, claude, claude-code, claude-code-marketplace, claude-code-plugin, claude-skills, codex, coding-agents
Source repo
https://github.com/wshobson/agents
Checked commit
0874a27b17a2
Homepage
https://sethhobson.com
Checked by GrokStacks
Install-checked in Grok Build on Oct 18, 2026; not run in a live session

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Markdown summary

**[wshobson/agents on GrokStacks](https://grokstacks.com/p/wshobson-agents/)**: Community plugin for Grok Build with 5 skills, 5 subagents, 60 plugins in this marketplaces. Install: `grok plugin install documentation-standards@wshobson/agents --trust` (after `grok plugin marketplace add wshobson/agents`)

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