Search: "split"

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

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.

Use this skill any time a .pptx or .potx 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 or .potx 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 (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.

Provides Therapeutics Data Commons workflows through PyTDC for registry discovery, dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle scoring. Use when working with TDC therapeutic ML datasets or benchmarks.

Designs experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cluster/group randomization, Latin squares, plate layouts, batch/run-order effects, replication vs. pseudoreplication, or sequential/adaptive/group-sequential designs. Trigger even for informal phrasings like "how should I set up this experiment", "how do I avoid confounding", "what's the best way to test these 6 factors", or "assign these mice to conditions". For computing the sample size or power once the design is chosen, use statistical-power; for analyzing data already collected, use statistical-analysis.

Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Use when asking whether a smart contract project follows development best practices, reviewing on-chain/off-chain split, upgradeability, or delegatecall proxy patterns against guidelines, or seeking recommendations on contract design, inheritance, events, documentation, dependencies, or test strategy.

Check the health of published EAS Update: crash rates, install/launch counts, unique users, payload size, and the split between embedded and OTA users per channel. Use when the user asks how an update is performing, whether a rollout is healthy, how many users are on the embedded build vs OTA, or wants to gate CI on update health.

Real-world browser-agent benchmark: 210 tasks across 107 websites, multi-agent/multi-browser evaluation, reproducible leaderboard and result submissions.

Use this skill when an agency operator wants the partner roster for a brand split by relationship status, plus the active partners who have gone quiet so they can be chased or reactivated. The output is a read-only worklist; the outreach itself happens outside this skill. How a partner's relationship status is read depends on the network. Some advertiser networks report it through the API. Awin does not: its advertiser API returns only already-joined publishers with no relationship-status field, so every Awin row maps to unknown and neither the roster split nor the dormant worklist can be derived from the API. Awin's roster and per-partner relationship status are read from the operator's own authenticated Awin session (new UI, app.awin.com) through Claude-in-Chrome, read-only. Awin Classic (ui.awin.com) accounts have no equivalent and are detected and stopped. Trigger on: "Who's gone quiet on Acme?", "Acme's partner roster health", "Which partners have gone dormant on [brand]?", "Build a reactivation list for Acme", "Show me Acme's roster by status".

Use this skill when an agency operator asks for a performance report for a single brand across one or more advertiser-side affiliate networks: per-publisher rollup, status split, and period-over-period delta. This is also the one reporting workflow behind the cadence deliverables an account manager ships: the daily snapshot, the weekly client note, the month-close report, and the quarterly business review (QBR). Match the output profile to the cadence the user asks for. Trigger on: "How is Acme performing this quarter?", "Show me the programme report for [brand]", "[brand] performance last month", "Which publishers are driving Acme's revenue?", "Acme's weekly report", "How did Acme do this week?", "Acme's month-end report", "Prepare Acme's QBR", "Build the Q2 review for [brand]".

Use this skill when an agency operator wants a deep dive on one publisher for a brand, usually as prep for a partner call: that publisher's clicks, conversions, EPC, average order value, commission, status split, and trend over time, with talking points for the conversation. Trigger on: "Review CashbackCo for Acme", "Prep me for the call with [publisher]", "How is [publisher] performing on [brand]?", "Pull a publisher review for [partner]".