Stad & Natuur AI

Run JavaScript

Run general-purpose JavaScript in Toolbox. Recommended for document generation, image processing, archives, and file creation. Choose the runtime whose listed libraries best support the task. Prefer available libraries over reimplementing their functionality. Runtime recommendations are not restrictions. Always try to reuse an existing session_id for related work. If the response says sessions are unavailable, each call starts fresh; include all required inputs in every call. Save reusable values in SESSION_STATE; ordinary const and let variables are local to each call. Responses list saved variables and loaded libraries. Select libraries with the libraries parameter: papaparse (Papa) for CSV/TSV, xlsx (XLSX) for spreadsheets, lodash (_) for data transformations, jszip (JSZip) for ZIP archives, pdf-lib (PDFLib) for creating/editing PDFs, docx (docx) for Word documents, pptxgenjs (PptxGenJS) for creating presentations, jimp (Jimp) for raster images, and ffmpeg for audio/video processing. Selected libraries remain loaded in the session. Omit libraries or pass [] when no additional libraries are needed. Use the selected globals directly; no imports or package installation are needed. This is a browser sandbox: use in-memory bytes and export through output.file, not filesystem or download helpers. Keep Papa worker and download options disabled and check parse errors. pdf-lib cannot extract text or render PDFs; standard PDF fonts have limited character support. pptxgenjs cannot import existing presentations. Jimp uses the v1 API: fromBuffer(bytes), resize({ w, h }), crop({ x, y, w, h }), and new Jimp({ width, height, color }). Use getBuffer for image export; avoid filesystem paths, URL loading, and font downloads. Use browser Canvas for text drawing and SVG/WebP decoding. Selecting ffmpeg provides an already-loaded ffmpeg instance; do not call load() or terminate(). Write inputs with await ffmpeg.writeFile("input.mp4", new Uint8Array(await files[0].arrayBuffer())). Run await ffmpeg.exec(["-i", "input.mp4", "output.mp3"], 60000); check the returned exit code is 0, then export await ffmpeg.readFile("output.mp3") through output.file. For ffmpeg.ffprobe, write JSON metadata to a file with -o and validate that file; this build may return -1 even on success. FFmpeg and its virtual files persist in the session; delete unneeded files with await ffmpeg.deleteFile(name). Prefer short clips and small files; transcoding is CPU- and memory-intensive. All FFmpeg assets are bundled, so local-file processing works without network access. Selected attachments are available in the files array as File objects, in the requested order, each with an additional id property. Read UTF-8 text with await files[0].text(), binary bytes with await files[0].arrayBuffer(), or raster images with await createImageBitmap(files[0]). For SVG, use new Image() with an image/svg+xml Blob URL created inside the sandbox, await image.decode(), and draw the image onto a canvas; do not pass an SVG Blob to createImageBitmap. Include the SVG namespace and explicit width/height in SVG markup. Revoke the Blob URL after drawing. Export PNG with await canvas.convertToBlob({ type: "image/png" }) on an OffscreenCanvas. When network access is disabled, only blob: and data: image sources are allowed. Return a value to produce text output; objects and arrays are serialized as JSON. Create chat attachments with output.file({ filename, data, mimeType }); data accepts a string, Blob, File, ArrayBuffer, or typed array. Use a filename without paths. mimeType is optional and defaults to text/plain for strings, the Blob type when available, or application/octet-stream. Call output.file multiple times to create multiple files; you can also return text in the same run. Network access is disabled by default and controlled by the Toolbox setting.

toolbox_run_js

Run Python

Run general-purpose Python in Toolbox. Recommended for data processing and analytics, including dataset cleaning, aggregation, statistics, and numerical calculations. Choose the runtime whose listed libraries best support the task. Prefer available libraries over reimplementing their functionality. Runtime recommendations are not restrictions. New sessions provide the Python standard library. Import its modules normally. Load third-party dependencies through the required packages parameter before code runs. Available packages: numpy for numerical arrays, pandas for tabular data analysis, matplotlib and seaborn for static charts, plotly and bokeh for interactive HTML charts, pillow for images, openpyxl for Excel workbooks, pypdf2 for reading and editing PDFs, python-docx for Word documents, requests for HTTP requests, beautifulsoup4 for HTML parsing (from bs4 import BeautifulSoup), jinja2 for text/HTML templates, and jsonschema for JSON validation. Dependencies load automatically, including NumPy, pandas, Matplotlib, and Pillow where required. Write packages before code. For import pandas as pd, include "pandas" unless the session response already lists it as loaded. Use packages: [] for standard-library-only code or when all required packages are already loaded in the session. Then import the selected packages in code; loading a package does not create an import alias. If an available package raises ModuleNotFoundError, retry in the same session with that package included in packages. Other third-party packages and pip installation are unavailable. For Matplotlib or seaborn charts, call matplotlib.use("Agg") before importing matplotlib.pyplot as plt or seaborn, and save figures to io.BytesIO. Pass the buffer's getvalue() to output.file with a filename and MIME type; close figures with plt.close(fig). For Plotly, export fig.to_html(include_plotlyjs=True, full_html=True). For Bokeh, use bokeh.embed.file_html with bokeh.resources.INLINE. Export that HTML through output.file with MIME type text/html; avoid show() and CDN resources. Plotly static image export is unavailable. For images, select pillow and import from PIL, for example from PIL import Image. Save images to io.BytesIO with an explicit format, then export its getvalue() through output.file. For pypdf2, import PdfReader and PdfWriter from PyPDF2. For python-docx, import Document from docx. Save Excel, PDF, and Word documents to io.BytesIO and export its getvalue() through output.file. For HTTP, select requests and import requests. Network access must be enabled; browser CORS rules apply. Use a timeout and call response.raise_for_status() before reading the response. For HTML, use BeautifulSoup(markup, "html.parser"). Always try to reuse an existing session_id for related work. If the response says sessions are unavailable, each call starts fresh; include all required inputs in every call. Variables, imports, loaded packages, and virtual files persist in that session. Responses list saved variables and loaded packages. Attachments selected for the current call appear in the files list in the requested order as dictionaries with id, name, type, and path. Their bytes are available in the virtual filesystem at files[0]["path"]. Read text with pathlib.Path(files[0]["path"]).read_text(), bytes with .read_bytes(), or CSV with pd.read_csv(files[0]["path"]). Use print() or a final expression for text output; values use their Python string representation. Create chat attachments with output.file(filename, data, mime_type=None). Data must be a string, bytes, bytearray, or memoryview; filenames must not contain paths. Text defaults to text/plain and bytes to application/octet-stream. For example, output.file("summary.csv", df.to_csv(index=False), "text/csv"). For a file written by a library, read its bytes and pass them to output.file. Call output.file multiple times to create multiple files. Only files passed to output.file become chat attachments. Top-level await is supported, but top-level return is not. Network access is disabled by default and controlled by the Toolbox setting.

toolbox_run_python

Toolbox

Web Search

Render

Render an interactive canvas with HTML source to the user interface. The HTML source can include JavaScript and CSS to create interactive elements. This can be used to create custom user interfaces, games, demos, charts, and more. The canvas width is always 100% of the container width, and the height can be specified in pixels. Use this for the FIRST render and for full rewrites. For small follow-up tweaks to a canvas you have already rendered, prefer `update_interactive_canvas`. Use search_interactive_canvas_source and read_interactive_canvas_lines to inspect the latest source before editing. Use read_interactive_canvas_source only when you need the full source.

render_interactive_canvas

Update

Apply small, targeted edits to the most recently rendered interactive canvas instead of re-emitting the full HTML. Each edit performs an exact, literal find-and-replace on the current HTML. Use this WHENEVER you only need to tweak parts of an existing canvas you previously rendered with `render_interactive_canvas` — it is much faster and uses far fewer output tokens than re-emitting the entire HTML.

Rules:
- Do NOT use this for the very first render — use `render_interactive_canvas` instead.
- Each `oldText` must match EXACTLY ONCE in the current HTML; include enough surrounding context to make it unique. If a match is ambiguous (matches more than once) or missing, the call will fail and you should retry with more context, or fall back to `render_interactive_canvas` with the full updated HTML.
- Edits are applied in order; later edits see the result of earlier ones.
- Prefer many small edits over one big rewrite — it makes failures localised and easier to retry.
- Use search_interactive_canvas_source to locate code, then read_interactive_canvas_lines for the surrounding source before choosing oldText. Line number prefixes in those results are not part of the source.

update_interactive_canvas

Read Source

Read the full, exact HTML source of the latest interactive canvas rendered or updated by this plugin. Does not change the canvas. Attachment placeholders remain unchanged. Prefer search_interactive_canvas_source and read_interactive_canvas_lines when you only need part of a large canvas.

read_interactive_canvas_source

Search Source

Search the latest interactive canvas HTML for a literal keyword, ignoring case. Return matching lines with 1-based line numbers and the total match count. Does not change the canvas. Use read_interactive_canvas_lines to read nearby lines before editing. Line number prefixes are not part of the source.

search_interactive_canvas_source

Read Lines

Read an inclusive range of lines from the latest interactive canvas HTML, with 1-based line numbers. Does not change the canvas. endLine is capped at the final source line. Line number prefixes are not part of the source; omit them when building update_interactive_canvas edits.

read_interactive_canvas_lines

Interactive Canvas

Simple Calculator

Render Chart

read_web_page_content

Read the content of a web page via its URL.

Web Page Reader

Perplexity Search

Default

Sequential Thinking (Step-by-step reasoning)

generate_excel_file

Generate an Excel file (.xlsx) and return the URL for downloading it. Supports optional filename and title inputs for deterministic file naming. If the download URL is not present in the response, inform the user that the Excel file could not be generated and prompt verification of the plugin server URL.

Excel (XLXS generation) [Traffic Builders]

Verwijdert typische AI-schrijfsignalen en verhoogt de menselijke kwaliteit van tekst geschreven namens Stichting Stad & Natuur Almere, bestemd voor publicatie of externe communicatie (blogs, social posts, nieuwsberichten, persberichten, eventteksten, grote bestuurlijke teksten). Past de merkstijl van Stad & Natuur toe, in de juiste laag (burgergericht of bestuurlijk) afhankelijk van het contenttype. Activeer deze skill bij het afronden van tekst voor publicatie of externe verzending namens Stad & Natuur.


skill-sn-ai-text-humanizer

Skill Sn Ai Text Humanizer

MS Word creation or editor

Word (Document editing MCP)

Word (DOCX generation) [Traffic Builders]

Ik heb een concepttekst die ik wil laten verbeteren

Ik wil een nieuw nieuwsbericht, eventitem of ander type contentitem schrijven

Help me met de redactie van een bestuurlijke tekst, zoals ons koersplan of jaarverslag (voor gemeente, RvT of andere stakeholders)

de Copywriter Agent van Stad en Natuur met het schrijven of redigeren van blogs, social posts, nieuwsberichten, persberichten, eventteksten en grote bestuurlijke teksten (koersplan, jaarverslag, meerjarenplan). Alles op basis van beproefde templates en de tone-of-voice van Stad en Natuur. 

[SNAI] Copywriter Agent

Help mij mijn feedback goed te verwoorden

Ik ben de Radical Candor-coach van Stad en Natuur, een AI-assistent gespecialiseerd in het toepassen van de principes van Radical Candor (Kim Scott), specifiek toegespitst op de organisatiecultuur en communicatiestijl van Stad en Natuur. Ik help je als medewerker of leidinggevende van Stad en Natuur bij het geven van eerlijke, directe feedback en het bouwen van sterke professionele relaties, op een manier die past bij hoe wij bij Stad en Natuur met elkaar omgaan.

Randical Candor volgens "Broodje Kroket"-methode & W.E.B.

Zoek iets voor me uit gebaseerd op geverifieerde bronnen

Factchecker gebaseerd op de SIFT-toolbox van Mike Caulfield (University of Washington). Gebruik deze om AI-output te verifiëren. De Agent controleert claims, vindt betrouwbare informatie en detecteert misinformatie en hallucinaties.

Factchecker Agent (SIFT-methode)

Visie op de manager in het AI-tijdperk: hoe ziet deze eruit?

Hoe weet ik of AI-output betrouwbaar is en hoe verifieer ik dit?

Hoe overtuig ik mijn collega's van de waarde van AI?

Je persoonlijke gids door Mollick's 'Co-Intelligence', die de kennis uit het boek vertaalt naar praktische inzichten over effectief samenwerken met AI. Of je nu specifieke passages zoekt, praktijkvoorbeelden wilt, of hulp nodig hebt bij het toepassen van de principes - Cody kent het boek van voor tot achter en deelt deze kennis graag met jou.

CoBot Cody - Je Co-Intelligence Expert

Let's briefly introduce Robbert van Ekris and give a quick overview of today's agenda.

How do you see AI changing how organizations like Stichting Stad & Natuur Almere connect city residents with nature?

How can the team use AI and LLMs to offer more personalized, engaging nature education?

In a future shaped by AI, what could a visit to a nature center or an urban nature program involve?

A visionary technology entrepreneur who co-founded Apple Inc., spearheaded the Macintosh, iPhone, iPod, and iPad, and profoundly shaped global technology trends.

Steve Jobs (Stad & Natuur)

De ideale hulp om van een vergadering, waarbij iedereen in dezelfde ruimte zat, snel tot de perfecte notulen te komen.

Nick Notulist 🇳🇱 (Zonder spreker identificatie)

De ideale hulp om van een teams-vergadering snel tot de perfecte notulen te komen.

Nick Notulist 🇳🇱 (Teams-livetranscriptie met sprekers)

Ik wil een nieuwe AI Agent of agentic workflow ontwikkelen

Ik wil een bestaande AI Agent of agentic workflow aanpassen voor een specifieke opdrachtgever

Ik wil een bestaande AI Agent of agentic workflow toetsen/verbeteren

Een absolute expert op het gebied van AI character- en
promptontwikkeling & agentic workflow design. Helpt je nieuwe AI Agents ontwikkelen en bestaande agents te verbeteren binnen de Stad & Natuur AI-omgeving en aanverwante platforms zoals n8n. 

AI Agent Builder v2.5

Ik heb een vraag over features van het Unbound AI platform

Ik heb een vraag over het ontwikkelen van een agent/character

Ik heb een vraag over het gebruik van plugins

Ik wil graag contact met Unbound AI Support

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