// Web search and content fetching. Use when the user needs to search the web for information or fetch content from URLs.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.
Direct filesystem operations (read, write, edit, list, search files). Use for any file manipulation tasks.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
| name | web-search |
| description | Web search and content fetching. Use when the user needs to search the web for information or fetch content from URLs. |
| metadata | {"dependencies":["httpx","beautifulsoup4","markdownify"]} |
Search the web and fetch content from URLs.
Set TAVILY_API_KEY in config env to enable web search. Get your API key at https://tavily.com.
scripts/search.py - Web SearchSearch the web via Tavily API and return LLM-friendly markdown.
# Search from command line
python scripts/search.py "quantum computing" 5
# From Python
from scripts.search import tavily_search
output = tavily_search("quantum computing", max_results=5)
print(output)
Parameters:
query (str): Search query (keep under 400 chars)search_depth (str): ultra-fast | fast | basic | advanced (default basic)max_results (int): Maximum results, default 3include_raw_content (bool): Include full page content when availableReturns: Markdown string with formatted results
scripts/fetch.py - Fetch URL ContentFetch and extract markdown content from a URL. No API key required.
# Fetch from command line
python scripts/fetch.py "https://example.com"
# From Python
from scripts.fetch import fetch
content = fetch("https://example.com")
print(content)
Parameters:
url (str): URL to fetchReturns: Markdown content string
tavily_search() to find relevant pagesfetch() to get full content from specific URLsTAVILY_API_KEY must be set in config env for search functionalityfetch works without any API keyhttpx, beautifulsoup4, markdownify (auto-installed)