// Retrieves papers the user browsed today, downloads PDFs, generates summaries, and returns an enriched list. Use when the user asks what papers they read today, wants a summary of today's papers, or asks about their recent reading activity.
Use the ACPX CLI through DrClaw's existing exec/long_exec tools to run Codex in the current project workspace.
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.
Convert a user style request into concrete rewrite constraints and apply that style during de-flavoring. Use when the user specifies a target tone, audience, or writing persona.
Diagnose formulaic writing patterns and authorial gaps before rewriting. Use when text feels generic, over-smoothed, abstract, or structurally mechanical and you need a targeted edit plan.
Guard against meaning drift during de-flavor rewrites. Use when rewriting text to sound more natural without adding facts, changing claims, or losing important constraints.
Rebuild specificity, texture, and authorial judgment in a rewrite without inventing facts. Use when text feels abstract, generic, over-smoothed, or full of empty framing.
| name | today-paper-summary |
| description | Retrieves papers the user browsed today, downloads PDFs, generates summaries, and returns an enriched list. Use when the user asks what papers they read today, wants a summary of today's papers, or asks about their recent reading activity. |
Collect academic papers visited in the browser today, download their PDFs, summarize each one, and return structured results.
from browser_history import collect_today_paper_urls
records = collect_today_paper_urls()
records is a List[Dict] with fields: browser, db_path, url, title, visit_count, last_visit_time.
<working_dir>/<today's date>/, e.g. 2026-03-11/2603.09973.pdfurl already points to a PDF, use it directly; if it's an abstract page, construct the PDF URL (for arXiv, replace /abs/ with /pdf/)requests with a 30s timeout; on failure, record download_error and continueimport requests
from pathlib import Path
from datetime import date
save_dir = Path(date.today().isoformat())
save_dir.mkdir(exist_ok=True)
def get_pdf_url(url: str) -> str:
"""Convert an abstract URL to a PDF URL (arXiv-specific)."""
return url.replace("/abs/", "/pdf/")
def download_pdf(pdf_url: str, dest: Path) -> bool:
try:
r = requests.get(pdf_url, timeout=30, headers={"User-Agent": "Mozilla/5.0"})
if r.status_code == 200:
dest.write_bytes(r.content)
return True
except Exception:
pass
return False
pypdf to read the PDF — extract the first 5 pages (sufficient to cover the abstract and introduction)import pypdf
def extract_text(pdf_path: Path, max_pages: int = 5) -> str:
reader = pypdf.PdfReader(str(pdf_path))
return "\n".join(p.extract_text() or "" for p in reader.pages[:max_pages])
Summary prompt template:
Summarize the following paper in concise English using this format:
[Core contribution] One sentence (≤ 50 words)
[Method highlights]
- ...
[Key findings]
- ...
Paper content:
{text}
results = []
for r in records:
results.append({
"browser": r["browser"],
"last_visit_time": r["last_visit_time"],
"title": r["title"],
"url": r["url"],
"summary": "<summary from Step 3, or 'unavailable' on failure>",
})
Return results.
pip install pypdf requestssummary to "PDF requires authorized access" in that case