26.2.21openclaw-viking/skills/summarize/SKILL.md
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
npx skillsauth add adoresever/agi_ananans summarizeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Fast CLI to summarize URLs, local files, and YouTube links.
Use this skill immediately when the user asks any of:
yt-dlp needed)summarize "https://example.com" --model google/gemini-3-flash-preview
summarize "/path/to/file.pdf" --model google/gemini-3-flash-preview
summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto
Best-effort transcript (URLs only):
summarize "https://youtu.be/dQw4w9WgXcQ" --youtube auto --extract-only
If the user asked for a transcript but it’s huge, return a tight summary first, then ask which section/time range to expand.
Set the API key for your chosen provider:
OPENAI_API_KEYANTHROPIC_API_KEYXAI_API_KEYGEMINI_API_KEY (aliases: GOOGLE_GENERATIVE_AI_API_KEY, GOOGLE_API_KEY)Default model is google/gemini-3-flash-preview if none is set.
--length short|medium|long|xl|xxl|<chars>--max-output-tokens <count>--extract-only (URLs only)--json (machine readable)--firecrawl auto|off|always (fallback extraction)--youtube auto (Apify fallback if APIFY_API_TOKEN set)Optional config file: ~/.summarize/config.json
{ "model": "openai/gpt-5.2" }
Optional services:
FIRECRAWL_API_KEY for blocked sitesAPIFY_API_TOKEN for YouTube fallbacktesting
Simulate a strict academic reviewer and produce a manuscript risk report without editing the draft. Use when the user asks to act as a reviewer, find weaknesses before submission, inspect evidence gaps, check overclaims, evaluate manuscript readiness, combine advisor notes or meeting minutes into revision priorities, or generate a 审稿人模拟检查 report.
development
Build or reorganize an academic paper project workspace with clear folders and local instructions for literature, drafts, feedback, extracted text, and output reports. Use when the user wants to set up a论文工作台, organize mixed manuscript materials, create project rules, or prepare a stable workflow before citation checking, evidence matching, reviewer simulation, or manuscript revision.
testing
Match manuscript claims against user-provided literature and produce a traceable claim-evidence table. Use when the user asks to add references, check whether PDFs support manuscript statements, find supporting or opposing evidence from a literature folder, distinguish strong support from background support, or create a 论点-证据匹配 report for an academic draft.
development
Twitter/X data via the 6551 API. Supports user profiles, tweet search, user tweets, follower events, deleted tweets, and KOL followers.