Skills Plugins MCP Prompt Model 博客 我的中心
Development #python #agent

setup-python-tools

Pyodide Python tools for an already-approved in-app useAtlasChat UI. EOS sidebar Python tools run from agent CDF config — do not vendor Pyodide. Triggers: Pyodide, pythonRuntime, usePyodideRuntime, runPythonCode.

DeepseekModel Curated skill Quality Good · 64 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=cognitedata-builder-skills-skills-setup-python-tools-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name setup-python-tools description Pyodide Python tools for an already-approved in-app useAtlasChat UI. EOS sidebar Python tools run from agent CDF config — do not vendor Pyodide. Triggers: Pyodide, pythonRuntime, usePyodideRuntime, runPythonCode. allowed-tools Read, Glob, Grep, Edit, Write, Bash metadata {"argument-hint":"[tool-names or agent-external-id]"} Set Up Python Tool Execution Add client-side Pyodide execution for $ARGUMENTS . Skip this if the app uses the Atlas / EOS sidebar ( integrate-fusion-agent ). Prerequisite: src/atlas-agent/ from integrate-atlas-chat , plus @sinclair/typebox . Copy python.ts , pyodide.ts , pyodide-react.ts , pyodide-runtime.ts from integrate-atlas-chat/code/ into src/atlas-agent/ . CDF runPythonCode tools arrive as toolConfirmation + clientTool . Wire usePyodideRuntime and pass pythonRuntime to useAtlasChat — no PythonToolConfig entries. Pyodide is ~30MB, cached after first load. Step 1 — Understand the app Read these files before touching anything: package.json — detect package manager and existing deps The component that calls useAtlasChat — understand current tools/config Step 2 — Install Pyodide Install exactly pyodide@0.29.3 using the app's package manager. This version must match the CDN artifacts loaded at runtime — installing a different version will cause errors. pnpm → pnpm add pyodide@0.29.3 npm → npm install pyodide@0.29.3 yarn → yarn add pyodide@0.29.3 @sinclair/typebox should already be installed from integrate-atlas-chat . Add it if missing. Step 3 — Set up usePyodideRuntime In the component that calls useAtlasChat , add the Pyodide runtime hook: import { loadPyodide } from "pyodide" ; import { usePyodideRuntime } from "./atlas-agent/pyodide-react" ; import { useAtlasChat } from "./atlas-agent/react" ; function MyChat ( ) { const { sdk, isLoading } = useDune (); // Initialize Python runtime (loads Pyodide, installs packages, sets up Cognite SDK) const { runtime : pythonRuntime, loading : pythonLoading, progress : pythonProgress, error : pythonError, isReady : pythonReady, } = usePyodideRuntime ({ loadPyodide, client : isLoading ? null : sdk, requirements : [ "pandas" , "numpy" ], // optional — additional packages }); // ... useAtlasChat below } Hook API reference Return field Type Description runtime PythonRuntime | undefined The initialized runtime, or undefined if not ready loading boolean True while Pyodide is loading / initializing error string | null Error message if initialization failed progress { stage: string; percent: number } Current init progress for UI display isReady boolean Convenience: !loading && !error && runtime !== undefined Loading state UI Place the loading indicator above the chat input , not in the message list. Keep it compact — a pill/badge showing stage text and percent. Show an error badge separately. First load is ~30-60s (downloads ~30MB); subsequent loads are <2s from browser cache. { /* Loading — shown above the input while Pyodide initializes */ } {pythonLoading && ( < div className = "flex items-center gap-2 rounded-lg border bg-muted/50 px-3 py-2 text-sm text-muted-foreground" > {/* Optional: < IconBrandPython /> from @tabler/icons-react */} < span > {pythonProgress.stage || "Initializing Python..."} </ span > {pythonProgress.percent > 0 && pythonProgress.percent < 100 && ( < span className = "text-xs opacity-70" > ({pythonProgress.percent}%) </ span > )} </ div > )} { /* Error — shown if init fails (after loading finishes) */ } {pythonError && !pythonLoading && ( < div className = "flex items-center gap-2 rounded-lg border border-destructive/30 bg-destructive/10 px-3 py-2 text-sm text-destructive" > < span > Python runtime failed to load </ span > </ div > )} Step 4 — Wire into useAtlasChat Pass the runtime to useAtlasChat . That's all — no tool configs needed: const { messages, send, isStreaming, progress, error, reset, abort } = useAtlasChat ({ client : isLoading ? null : sdk, agentExternalId : "my-agent" , tools : [renderTimeSeries], // regular client tools (declared to agent), if any pythonRuntime, // from usePyodideRuntime — enables Python tool execution }); Note : Python tools are NOT declared to the agent via tools . The agent already knows about them from its CDF config. The library fetches the code automatically when needed. Step 5 — Disable input while Python loads The user shouldn't send messages before the runtime is ready. Disable the entire input area (not just the send button) so the state is unambiguous: < ChatInput onSend={handleSend} disabled={isStreaming || pythonLoading} // ... /> If you have a home page with suggestion chips, disable those too: < ChatHomePage onSuggestionClick={handleSuggestionClick} disabled={pythonLoading} /> Done The app can now execute Python tools client-side via Pyodide. When the agent calls a Python tool, the library automatically fetches its code from the agent config, runs it in the browser, and returns the result to the agent.
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。