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Manavv007/S.A.R.A.L.-Capa-de-Acceso-Recuperación-y-Análisis-de-…

S.A.R.A.L. es una plataforma avanzada impulsada por IA diseñada para cerrar la "brecha de información" entre los ciudadanos rurales de la India y los programas de bienestar gubernamentales.

¿Qué es S.A.R.A.L.-Capa-de-Acceso-Recuperación-y-Análisis-de-…?

S.A.R.A.L. (Capa de Acceso, Recuperación y Análisis de Esquemas) es una plataforma innovadora basada en inteligencia artificial que resuelve el problema de accesibilidad a los programas de bienestar gubernamentales en la India rural. Miles de esquemas gubernamentales existen, pero el lenguaje técnico y complejo de los documentos PDF oficiales los hace inaccesibles para el ciudadano común. S.A.R.A.L. utiliza procesamiento de lenguaje natural (NLP) para extraer, resumir y presentar la información relevante de estos documentos de manera sencilla y en el idioma local. La plataforma soporta consultas en lenguaje natural, permitiendo a los usuarios preguntar sobre beneficios, requisitos y procesos de solicitud sin necesidad de conocimientos técnicos. Está diseñada para funcionar en entornos con recursos limitados, con soporte multilingüe y una interfaz de chat conversacional. S.A.R.A.L. se integra con fuentes de datos gubernamentales (como API de datos abiertos) y puede desplegarse como una aplicación web o chatbot en plataformas como WhatsApp y Telegram.

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Documentación

Manavv007/S.A.R.A.L.-Capa-de-Acceso-Recuperación-y-Análisis-de-Esquemas-

S.A.R.A.L. es una plataforma avanzada impulsada por IA diseñada para cerrar la "brecha de información" entre los ciudadanos rurales de la India y los programas de bienestar gubernamentales. Aunque existen miles de esquemas, el lenguaje complejo de los PDFs oficiales a menudo los hace inaccesibles para el ciudadano común.

Fuente: https://github.com/Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

Etiquetado para la tarea de descubrimiento del video de lanzamiento de Awesome Skills (20 de septiembre de 2026, por la noche).

Individual skills in this repo

This repo contains 7 individual skills — each has its own dedicated page.

Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

The fallback workflow for authoring custom HyperFrames video compositions at any length or format — longer or multi-scene pieces, brand / sizzle reels, montages, title cards, static loops, and freeform compositions. Input- and length-agnostic. If a specialized workflow clearly fits the input — a marketed product, a website, a topic explainer, a GitHub PR, existing footage, a short motion graphic, or a Remotion port — prefer it (see /hyperframes); use this only as the general fallback when none fit.

Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). HyperFrames-native: single paused timeline, seek-safe, deterministic.

Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

HyperFrames CLI dev loop. Use when running npx hyperframes init, add, catalog, capture, lint, validate, inspect, layout, snapshot, preview, play, render, publish, lambda, doctor, browser, info, upgrade, skills, compositions, docs, benchmark, telemetry, transcribe, tts, or remove-background, or when troubleshooting the HyperFrames build/render environment. Entry point for AWS Lambda cloud rendering (`hyperframes lambda deploy / render / progress / destroy / policies`).

Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class="clip"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Read before writing composition HTML.

Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use `hyperframes-animation`.

Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

Capture a general website/URL and turn it into a HyperFrames video (site tour, showcase, or social clip from the site's own visuals). Uses headless Chrome screenshots + brand assets. Use when intent is general — portfolio/blog/landing-page showcase or social clip from the site. NOT for: product/SaaS launch or promo (→ /product-launch-video, even from a URL); topic explainer with no site (→ /faceless-explainer); GitHub PR (→ /pr-to-video); adding captions to existing video (→ /embedded-captions); short unnarrated page-highlight motion graphic (→ /motion-graphics). Unclear launch-vs-general-site? Ask one question or start at /hyperframes.

Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-

Audio and media assets for HyperFrames compositions, produced by one shared audio engine (`scripts/audio.mjs`) — multi-provider TTS (HeyGen / ElevenLabs / Kokoro local), background music + sound effects (HeyGen audio-library retrieval by default, with local Lyria / MusicGen BGM generation and a bundled SFX library as the no-credential fallback), Whisper transcription, background removal, and caption authoring. Use for voiceover / TTS, BGM, SFX / sound effects, transcription, captions / subtitles / lyrics / karaoke / per-word styling, voice + provider selection, and music-mood prompting.

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