Feishu Doc Skill
Fetch content from Feishu (Lark) Wiki, Docs, Sheets, and Bitable. Automatically resolves Wiki URLs to real entities and converts content to Markdown.
Browse reusable instructions for your AI tools. Copy and customize a prompt, or download a skill for a supported agent.

Fetch content from Feishu (Lark) Wiki, Docs, Sheets, and Bitable. Automatically resolves Wiki URLs to real entities and converts content to Markdown.
Inspect media files with ffprobe: format, streams, codecs, duration, bitrate, resolution, fps, color space, channel layout, metadata, chapters, and per-frame/packet analysis, output as JSON/CSV/INI/XML. Use when the user asks to inspect a video, check codec, get resolution/bitrate/fps/duration, d...
Deep media inspection + automated QC — ffprobe stream details, MediaInfo diagnostics, VMAF/PSNR/SSIM quality metrics, PySceneDetect scene cuts, crop/silence/black-frame/interlacing detection, ffplay scope debugging, NAL/SEI bitstream forensics, metadata audits, loudness compliance against Spotify...
Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description ne...
Analyze video files from chaotic_media_lake.duckdb with deterministic color assignment and GF(3)-balanced trit allocation.
Analyze political data, fact-check claims, and study policy impacts using evidence-based methods
Generate evidence-based documentary reports by searching across all 4
The declassified UAP file archive in your terminal — browse, search, and download 162+ files from the PURSUE initiative Trigger phrases: `check UFO files`, `search declassified UAP`, `download PURSUE files`, `war.gov UFO`, `browse UFO archive`, `use ufo`.
Flourish integration. Manage data, records, and automate workflows. Use when the user wants to interact with Flourish data.
You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.
Use when suggesting APIs for a project, looking for free data sources, building weekend projects that need external data, or when the user needs weather, news, finance, sports, ML, or entertainment data without paid subscriptions
Design data journalism projects. TRIGGERS - Use when user needs help with data-journalism-project related tasks.
Digital forensics techniques for detecting device compromise, analyzing malware indicators, and investigating targeted surveillance. Based on methodologies from Citizen Lab's Pegasus Project and Predator investigations.
Large-scale graph analytics for entity resolution, network analysis, and relationship mapping. Based on methodologies from Project Domino (1B+ node COVID misinformation graphs) and ICIJ's Panama/Paradise Papers investigations.
Document processing pipeline for large-scale leak analysis. Based on ICIJ's methodologies from Panama Papers, Paradise Papers, and Pandora Papers investigations. Coordinates between forensic validation (-1) and graph generation (+1).
An MCP server that provides on-demand skill loading for AI coding assistants.
Secure AppFolio API credentials and tenant data.
Stingray-backed Redfin CLI with the workflows the website can't do — saved-search diff, sold-price trends, $/sqft ranking, and offline SQL. Trigger phrases: `find homes for sale in <city>`, `watch redfin listings for <area>`, `rank houses by price per square foot`, `pull sold comps for <address>`...
Find properties for sale that are already generating Airbnb income.
Search Singapore property rental and sale listings with flexible filters.
Guide an agent through property search, buyer/renter preference capture, and evidence-backed shortlist notes from structured listing data.
Run supervised property-detail and market-trend lookups from an MCP client while checking data-source terms before use.
An MCP server that provides on-demand skill loading for AI coding assistants.
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for...
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