fal-vision
Uses fal.ai vision models to analyze image content. Supports object segmentation and detection, OCR, image descriptions, and answers to visual questions.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Uses fal.ai vision models to analyze image content. Supports object segmentation and detection, OCR, image descriptions, and answers to visual questions.
Uses an authenticated JobKorea corporate account session to search and compare masked candidate resumes before paid viewing. Produces a hiring review shortlist and supports official-channel follow-up actions in Dolshoi.
Guides Windows image creation using Packer's WinRM communicator and PowerShell provisioners. Covers Windows AMIs, Azure images, and VMware templates.
Generates long-side equity research tickets from end-of-day observations, hypotheses, and anomalies. Exports strategy.yaml and metadata.json specifications and checks edge-finder-candidate/v1 compatibility before pipeline backtests.
Translates natural-language data requests into clear Salesforce object and field specifications. Validates API names and recommends GraphQL, UIAPI, or LDS adapter choices before implementation.
Helps users get started or locate their position in a six-stage journey. Detects features such as Data 360, OmniStudio, and DevOps Center, and finds helpful plugins for tasks not already covered by installed skills.
Converts text into spoken audio using OpenAI's API and built-in voices. Supports narrated explainers, lecture audio, and quick voiceover tracks.
Uses AI super-resolution models hosted on fal.ai to increase and enhance the resolution of images and videos.
Supports @nuxt/content configuration, collections, queryCollection, and Markdown or MDC rendering. Covers content databases, hooks, custom sources, search, and migrations from Content v2.
Analyzes weekly candles for red-candle pullbacks and breakout signals associated with Post-Earnings Announcement Drift. Accepts either the FMP earnings calendar or earnings-trade-analyzer JSON output.
Provides a single-file HTML template for user-research decks and narrative presentations with warm-paper editorial aesthetics. Includes minimalist typography, clear layouts, subtle motion, donut breakdowns, and keyboard or click navigation.
Runs structured discovery sessions for new specifications. Helps capture domain behavior, define system or feature requirements, and translate described functionality into an Allium specification.
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