AI Engineer

What it does

When your agent uses it

• Tasks that involve Retrieval-augmented generation
• Tasks that involve Vector databases
• Tasks that involve Chatbots and conversational support

Example prompts

• “/ai-engineer”

Requirements

• Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash, WebFetch, mcp__SequentialThinking__sequentialthinking

Workflow steps

3 steps, taken from the step headings in SKILL.md.

1. 1RAG System Design
2. 2LLM Application Patterns
3. 3Production Operations

What it can do on your machine

Read from SKILL.md and the folder at commit 6713fc7. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves these tools, so the agent can use them without asking each time:

  • Read
  • Write
  • Edit
  • Glob
  • Grep
  • Bash
  • WebFetch
  • mcp__SequentialThinking__sequentialthinking

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

AI Engineer loads about 2k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 515 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~69

When it runs · the whole SKILL.md, loaded when a task matches

~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NotePre-approves every shell command (allowed-tools: Bash)SKILL.md

  allowed-tools: Read, Write, Edit, Glob, Grep, Bash, WebFetch, mcp__SequentialThinking__sequentialthinking

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from curiositech/some_claude_skills at commit 6713fc7, republished under its MIT licence (© curiositech). 515 words, ~2,006 tokens.

name

ai-engineer

description

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

allowed-tools

Read, Write, Edit, Glob, Grep, Bash, WebFetch, mcp__SequentialThinking__sequentialthinking

metadata.category

AI & Machine Learning

metadata.tags

llm, rag, agents, ai, production, embeddings

User: "Build a customer support chatbot with our product documentation"

AI Engineer:
1. Design RAG architecture (chunking, embedding, retrieval)
2. Set up vector database (Pinecone/Weaviate/Chroma)
3. Implement retrieval pipeline with reranking
4. Build conversation management with context
5. Add guardrails and fallback handling
6. Deploy with monitoring and observability

// Simple RAG implementation
async function ragQuery(query: string): Promise<string> {
  // 1. Embed the query
  const queryEmbedding = await embed(query);

  // 2. Retrieve relevant chunks
  const chunks = await vectorDb.query({
    vector: queryEmbedding,
    topK: 10,
    includeMetadata: true
  });

  // 3. Rerank for relevance
  const reranked = await reranker.rank(query, chunks);
  const topChunks = reranked.slice(0, 5);

  // 4. Generate response with context
  const response = await llm.chat({
    system: SYSTEM_PROMPT,
    messages: [
      { role: 'user', content: buildPrompt(query, topChunks) }
    ]
  });

  return response.content;
}

// Agentic loop with tool use
interface Agent {
  systemPrompt: string;
  tools: Tool[];
  maxIterations: number;
}

async function runAgent(agent: Agent, task: string): Promise<string> {
  const messages: Message[] = [];
  let iterations = 0;

  while (iterations < agent.maxIterations) {
    const response = await llm.chat({
      system: agent.systemPrompt,
      messages: [...messages, { role: 'user', content: task }],
      tools: agent.tools
    });

    if (!response.toolCalls) {
      return response.content; // Final answer
    }

    // Execute tools and continue
    const toolResults = await executeTools(response.toolCalls);
    messages.push({ role: 'assistant', content: response });
    messages.push({ role: 'tool', content: toolResults });
    iterations++;
  }

  throw new Error('Max iterations exceeded');
}

// Route queries to appropriate models
const MODEL_ROUTER = {
  simple: 'claude-3-haiku',     // Fast, cheap
  moderate: 'claude-3-sonnet',   // Balanced
  complex: 'claude-3-opus',      // Best quality
};

function routeQuery(query: string, context: any): ModelId {
  // Classify complexity
  if (isSimpleQuery(query)) return MODEL_ROUTER.simple;
  if (requiresReasoning(query, context)) return MODEL_ROUTER.complex;
  return MODEL_ROUTER.moderate;
}

© curiositech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .claude/skills/ai-engineer of curiositech/some_claude_skills.

• SKILL.md
• .claude-plugin/plugin.json

Open the folder on GitHubat commit 6713fc7

Used in 8 other repositories

We found 44 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 8 other GitHub owners. This page covers the copy in curiositech/some_claude_skills, which our catalogue first saw on October 7, 2026.

• aiskillstore/marketplaceskills/sickn33/ai-engineer
• majiayu000/claude-skill-registryskills/ai-llm/ai-engineerskills/ai-llm/001-ai-engineer+26 more
• sickn33/agentic-awesome-skillsskills/ai-engineerplugins/agentic-awesome-skills/skills/ai-engineer+1 more
• rmyndharis/antigravity-skillsskills/ai-engineer
• agent-skills-hub/agent-skills-hubskills/ai-engineer
• lingxling/awesome-skills-cnantigravity-awesome-skills/skills/ai-engineerantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/ai-engineer+1 more
• benjaminasterA/antigravity-awesome-skillsskills/ai-engineer
• henryalouf/ruflow.agents/skills/ai-engineer.agents/skills/antigravity-awesome-skills/skills/ai-engineer+4 more