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ai-tools

Reference for all AI tools available in DBX Studio's AI chat system. Use when adding, modifying, or debugging AI tool definitions, tool execution, or provider integrations.

231 stars
byaiskillstore
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Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ai-tools/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/dbxstudio/ai-tools/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ai-tools/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ai-tools Compares

Feature / Agentai-toolsStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Reference for all AI tools available in DBX Studio's AI chat system. Use when adding, modifying, or debugging AI tool definitions, tool execution, or provider integrations.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# DBX Studio AI Tools Reference

## Tool Definitions Location
[apps/api/src/orpc/routers/ai/tools.ts](apps/api/src/orpc/routers/ai/tools.ts)

## Tool Executor Location
[apps/api/src/orpc/routers/ai/toolExecutor.ts](apps/api/src/orpc/routers/ai/toolExecutor.ts)

## Available Tools (AI_TOOLS array)

| Tool Name | Purpose | Required Params |
|-----------|---------|-----------------|
| `read_schema` | Get all tables and structure from schema store | `schema_name` |
| `get_table_data` | Preview rows from a table (generates SELECT) | `table_name` |
| `execute_query` | Run a SELECT/WITH query | `sql` |
| `generate_chart` | Create chart config (bar/line/pie/scatter/area/histogram) | `chart_type`, `title`, `data_query` |
| `describe_table` | Get table metadata from `schemaTables` DB table | `table_name` |
| `get_table_stats` | Get statistics summary for a table | `table_name` |

## AI Providers

| Service ID | Provider | File |
|------------|----------|------|
| 1 | AWS Bedrock | `ai-stream.ts` (streaming) + `providersWithTools.ts` |
| 2 | OpenAI | `providersWithTools.ts` → `callOpenAIWithTools` |
| 3 | Anthropic | `providersWithTools.ts` → `callAnthropicWithTools` |
| 4 | Qwen | `index.ts` |
| 5 | Ollama | `index.ts` |
| 6 | Gemini | `index.ts` |
| 7 | Groq | `index.ts` |
| 8 | DBX Agent | External → `MAIN_SERVER_URL` |

## Tool Format Conversions

```typescript
// Anthropic format
getAnthropicTools() → { name, description, input_schema }

// OpenAI format
getOpenAITools() → { type: 'function', function: { name, description, parameters } }

// Bedrock format (in ai-stream.ts)
{ toolSpec: { name, description, inputSchema: { json: input_schema } } }
```

## Adding a New Tool

1. Add to `AI_TOOLS` array in `tools.ts`
2. Add execution logic in `toolExecutor.ts` → `executeTool` switch
3. Implement the handler function `executeMyNewTool(input, context)`
4. Both `getAnthropicTools()` and `getOpenAITools()` will pick it up automatically
5. For Bedrock, the conversion in `ai-stream.ts` is also automatic

## System Prompt Location
Main streaming system prompt: [apps/api/src/routes/ai-stream.ts](apps/api/src/routes/ai-stream.ts) around line 132–172

oRPC chat system prompt: [apps/api/src/orpc/routers/ai/providersWithTools.ts](apps/api/src/orpc/routers/ai/providersWithTools.ts) — `SYSTEM_PROMPT_WITH_TOOLS` constant