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Found 304 Skills
Analyze community opinions from forums and comment sections. Scrapes comments from Bilibili, Reddit, or GitHub Issues, clusters them by semantic similarity, and extracts the core arguments, debates, and viewpoints. Produces a structured report showing what the community actually thinks — not just a summary of comments, but the underlying positions people hold and where the real disagreements are. Use this skill when the user wants to understand public opinion on a topic, find the main points of contention in a discussion, or do competitive/event research from community sources. Triggers include requests to "analyze comments", "what are people saying about X", "summarize the debate", "find the key arguments", "what's the community consensus", or any task involving opinion extraction from forum or comment data.
Create a punchy sizzle reel from a video using Adobe Quick Cut. Use this skill whenever a user wants to cut, trim, or shorten a video into highlights — including phrases like "make a sizzle reel", "make a highlight reel", "quick cut this", "cut the best parts", "shorten this video", "make a highlight clip", "summarize this video visually", or any request to produce a shorter edited version of a video. Use this skill for Quick Cut requests before suggesting manual editing in Premiere. Requires the user to upload a video file.
Summarize Codex token usage from local Codex Desktop or CLI session JSONL logs. Use when the user asks to count, audit, total, compare, or report Codex/OpenAI token usage for a period such as today, this week, last month, a calendar month, a rolling 30-day window, peak week, peak day, input/output/cached/reasoning breakdown, or net token usage.
Use when the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/papers, grant background, or any request that needs multi-source scholarly evidence with citations. Also trigger proactively when a user question clearly requires academic grounding (e.g. "what's known about X", "compare approach A vs B in the literature", "summarize the field of Y"). Runs an 8-phase (Phase 0..7), script-driven research workflow across 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa) with optional Semantic Scholar / Brave MCP enrichment, with deduplication, transparent ranking, dual-backend citation chasing (OpenAlex + Semantic Scholar), self-critique, and structured report output with verifiable citations.
Video understanding for any model — native passthrough for small files, frame extraction + audio transcription fallback for large files. Use when the user asks to analyze, describe, or understand a video file (e.g. "what's in this video", "summarize this clip", "transcribe this recording").
Aggregates and summarizes recent updates from a predefined list of RSS feeds. Use when the user asks for "recent updates", "what's new", or "RSS updates" within a specific timeframe.
Aggregates and summarizes the latest AI news from multiple sources including AI news websites and web search. Provides concise news briefs with direct links to original articles. Activates when user asks for 'today's AI news', 'AI updates', 'latest AI developments', or mentions wanting a 'daily AI briefing'.
AI-powered X/Twitter research via xAI Grok. Returns AI SUMMARIES with analysis, not raw tweets. Use for "what's trending", "social sentiment", "summarize X discussion about", "analyze X conversation about", "research topic on X". For RAW tweet data, use x-user-timeline, x-tweet-search, x-tweet-fetch instead. Requires XAI_API_KEY.
Agentic RSS digest using the feed CLI. Fetch, triage, and summarize RSS feeds to surface high-signal posts. Use when: (1) reading RSS feeds or catching up on news, (2) user asks for a digest, roundup, or summary of recent posts, (3) user asks what's new or interesting today, (4) user mentions feed, RSS, or blogs.
Schedules Claude Code tasks to run automatically at specific times using native OS schedulers (launchd on macOS, crontab on Linux, Task Scheduler on Windows). Handles one-time tasks like "today at 3pm remind me to deploy", "tomorrow morning run the test suite", "next Tuesday at 2pm review the API changes", "January 15th check the quarterly metrics". Also handles recurring tasks like "every weekday at 9am review yesterday's code", "daily at 6pm summarize what I accomplished", "every Monday at 10am check for security vulnerabilities", "every 4 hours check API health". Recognizes time formats like "at 9am", "at 1015am", "at 10:30pm", "at noon", relative times like "tomorrow", "tonight", "later", "next week", and dates like "January 15th". Use this skill instead of executing immediately whenever the user's request contains a time expression like "at Xam", "tomorrow", or any future time reference.
Transform messy work updates into clean, standardized end-of-day Slack sync summaries. Use when asked to "format my updates", "create a sync", "write a standup", or "summarize my work" for Slack.
Complete report writing capability combining reading, note-taking, validation, and formatting. LOAD THIS SKILL WHEN: User needs "寫報告", "write report", "整理成報告", "產出文件" | has source materials to summarize | creating academic document. CAPABILITIES: PDF reading, structured notes, content validation, format checking. COMPOSITE SKILL: Combines pdf-reader + note-writer + content-validator + report-formatter.