How do I install the Helloworldsungin Ark AI MCP MCP Deepwiki skill?

Run npx skillmds@latest add tomevault-io/helloworldsungin-ark-ai-mcp-mcp-deepwiki in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Helloworldsungin Ark AI MCP MCP Deepwiki skill do?

It is listed under AI & ML on SkillMD.

Is Helloworldsungin Ark AI MCP MCP Deepwiki safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Helloworldsungin Ark AI MCP MCP Deepwiki?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Helloworldsungin Ark AI MCP MCP Deepwiki free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Helloworldsungin Ark AI MCP MCP Deepwiki?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Helloworldsungin Ark AI MCP MCP Deepwiki by tomevault-io

Name: Helloworldsungin Ark AI MCP MCP Deepwiki
Author: tomevault-io

File contents

DeepWiki vs Context7 vs GitHub MCP:

DeepWiki: Architecture, internals, design decisions — "How does X work under the hood?"
Context7: API docs, code examples, usage patterns — "How do I use X?"
GitHub MCP: Source code, PRs, issues, commits — "What does the code say?"

Investigation Workflow

For understanding an unfamiliar repo, follow this order:

1. Browse Structure First

See what documentation topics are available:

mcporter call 'deepwiki.read_wiki_structure(repoName: "facebook/react")' --output json

Returns a table of contents for the repo's wiki. Use this to understand what's documented before asking questions.

2. Ask Targeted Questions

Best for specific questions. Returns AI-powered, context-grounded answers:

mcporter call 'deepwiki.ask_question(repoName: "facebook/react", question: "How does the fiber reconciler work?")' --output json

3. Read Full Wiki (Use Sparingly)

Gets the complete documentation for a repo. Warning: Can return 10K+ tokens. Only use when you need a comprehensive dump:

mcporter call 'deepwiki.read_wiki_contents(repoName: "facebook/react")' --output json

Prefer ask_question for targeted queries — it's faster and returns only relevant content.

Multi-Repo Comparison

Compare approaches across repos (max 10):

mcporter call 'deepwiki.ask_question(repoName: ["vercel/next.js", "remix-run/remix"], question: "How do these frameworks handle server-side rendering differently?")' --output json

Common Patterns

# Understand a library's architecture
mcporter call 'deepwiki.ask_question(repoName: "steipete/mcporter", question: "How does the config discovery and merging work?")' --output json

# Investigate design decisions
mcporter call 'deepwiki.ask_question(repoName: "anthropics/claude-code", question: "How does the permission system work?")' --output json

# Compare competing libraries
mcporter call 'deepwiki.ask_question(repoName: ["expressjs/express", "fastify/fastify"], question: "How do these handle middleware differently?")' --output json

# Explore what docs exist before deep diving
mcporter call 'deepwiki.read_wiki_structure(repoName: "langchain-ai/langchain")' --output json

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: helloworldsungin-ark-ai-mcp-mcp-deepwikidescription: <objective>---<objective>Query public GitHub repositories through the DeepWiki MCP server. Get AI-powered answers about repo architecture, internals, design decisions, and usage patterns — without cloning the repo locally. No authentication required.**DeepWiki vs Context7 vs GitHub MCP**:- **DeepWiki**: Architecture, internals, design decisions — "How does X work under the hood?"- **Context7**: API docs, code examples, usage patterns — "How do I use X?"- **GitHub MCP**: Source code, PRs, issues, commits — "What does the code say?"</objective><process>## Investigation WorkflowFor understanding an unfamiliar repo, follow this order:### 1. Browse Structure FirstSee what documentation topics are available:```bashmcporter call 'deepwiki.read_wiki_structure(repoName: "facebook/react")' --output json```Returns a table of contents for the repo's wiki. Use this to understand what's documented before asking questions.### 2. Ask Targeted QuestionsBest for specific questions. Returns AI-powered, context-grounded answers:```bashmcporter call 'deepwiki.ask_question(repoName: "facebook/react", question: "How does the fiber reconciler work?")' --output json```### 3. Read Full Wiki (Use Sparingly)Gets the complete documentation for a repo. **Warning**: Can return 10K+ tokens. Only use when you need a comprehensive dump:```bashmcporter call 'deepwiki.read_wiki_contents(repoName: "facebook/react")' --output json```**Prefer `ask_question` for targeted queries** — it's faster and returns only relevant content.## Multi-Repo ComparisonCompare approaches across repos (max 10):```bashmcporter call 'deepwiki.ask_question(repoName: ["vercel/next.js", "remix-run/remix"], question: "How do these frameworks handle server-side rendering differently?")' --output json```## Common Patterns```bash# Understand a library's architecturemcporter call 'deepwiki.ask_question(repoName: "steipete/mcporter", question: "How does the config discovery and merging work?")' --output json# Investigate design decisionsmcporter call 'deepwiki.ask_question(repoName: "anthropics/claude-code", question: "How does the permission system work?")' --output json# Compare competing librariesmcporter call 'deepwiki.ask_question(repoName: ["expressjs/express", "fastify/fastify"], question: "How do these handle middleware differently?")' --output json# Explore what docs exist before deep divingmcporter call 'deepwiki.read_wiki_structure(repoName: "langchain-ai/langchain")' --output json```</process><tips>- **Start with `read_wiki_structure`** to see what's available, then use `ask_question` for specifics.- **`ask_question` is your primary tool** — it returns focused, relevant answers without the token cost of a full wiki dump.- **`read_wiki_contents` is expensive** — it returns the entire wiki (often 10K+ tokens). Only use it when you need comprehensive coverage.- The `repoName` format is always `owner/repo` (e.g., "facebook/react").- For multiple repos, pass an array (max 10): `repoName: ["repo1", "repo2"]`- No authentication required — works out of the box.- Best for **public repos only** — private repos won't be accessible.- Use `--output json` for machine-readable results.</tips>---> Converted and distributed by [TomeVault](https://tomevault.io/claim/helloworldsungin) — claim your Tome and manage your conversions.

Frequently asked questions

Helloworldsungin Ark AI MCP MCP Deepwiki