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Found 358 Skills
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Post to X (Twitter) from the command line. Text, images, and video.
Look up a Korean postcode and official English address from a known address with the official ePost integrated search page.
Generate images directly using the Runway API via runnable scripts. Supports text-to-image with optional reference images.
Use when searching academic papers, looking up citations, finding authors, or getting paper recommendations using the Semantic Scholar API. Triggers on queries about research papers, academic search, citation analysis, or literature discovery.
Create, search, and manage Fabric resources via the Fabric HTTP API (notepads/notes, folders, bookmarks, files, tags).
Vendor-neutral skill to audit application logs for potential sensitive-data leakage and redaction coverage.
Read-only Storage Analysis Assistant for macOS / Windows (auto-detects system). Scans the entire disk usage to identify space hogs, categorizes each item into three levels: 🟢 Auto-cleanable / 🟡 Manual judgment required / 🔴 Clean with caution, and provides actionable disposal plans. Generates an interactive HTML report with beautiful formatting, collapsible sections, and one-click copy commands. Also supports starting a local service to delete files directly via the web (move to trash / delete immediately). The entire scanning process is read-only. Must be used in the following scenarios: When users mention "storage analysis", "disk full", "C drive/hard disk full", "insufficient space", "clean up space", "disk cleanup", "space occupied", "what's taking up space", "help me check storage", "check computer storage/space", "storage space", "computer space insufficient", "memory full/insufficient" (in Chinese colloquial, "memory" often refers to storage), "storage analysis", "disk cleanup", "clear cache", "disk cleanup"; or when users complain about insufficient computer space, want to know what's taking up hard disk space, or need cleanup suggestions. Note: If users explicitly refer to RAM (e.g., "which process is using memory", "high memory usage", want to see Activity Monitor), that's RAM, not storage, and does not belong to this skill.
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Writes a timed, word-budgeted speaker script for an exact conference-talk slot (e.g. a 12-minute talk plus 3-minute Q&A, or a 5-minute lightning talk). Use when a researcher mentions talk script, presentation script, speaker notes, conference talk, lightning talk, rehearsal, "what do I say on each slide", or "my talk is running long". Turns a slide deck or outline into spoken-register prose with a per-slide word budget at ~130 words/minute (calibratable), cumulative timing marks, written-out transitions, a marked cut list worth 10-15% of the talk for running long, and a Q&A handoff. Bundled stdlib-only Python scripts compute the budget (word_budget.py) and re-time any draft (script_timer.py with per-slide timing, cut savings, and an over/under verdict). Venue-aware but treats presenter instructions and the acceptance email as ground truth for slot length; never invents results — every claim spoken must come from the paper.
Bulk-fill ONE master template — a Word (.docx) letter/form or an Excel (.xlsx) form — from a data table, producing one filled file per row (mail-merge). Use whenever the user wants to "fill in this letter for each person", "mail merge", "generate letters for this list", "run this template over a spreadsheet", or hands over a template plus a list. The skill reads the master, proposes a TOKENISED version (varying parts become {{tokens}}), confirms the template and the token-to-column mapping with the user, then regenerates one output per data row — preserving the master's layout and styling exactly. Data is an .xlsx or .csv (one row per output); outputs are one named file per record. Never invents: a token with no data is written as a VISIBLE flag, never a silent blank. Runs fully local and generates files only — it does not send, post or sign. Not for extracting data OUT of documents, and not a substitute for a hand-crafted single letter.
Invoke IMMEDIATELY via python script when user requests refactoring analysis, technical debt review, or code quality improvement. Do NOT explore first - the script orchestrates exploration.