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Manavv007/S.A.R.A.L.-Couche d'Accès, de Récupération et d'Analy…

S.A.R.A.L. est une plateforme avancée basée sur l'IA conçue pour combler le « fossé d'information » entre les citoyens ruraux indiens et les programmes d'aide gouvernementale. Alors que des milliers de programmes existent, le langage complexe des PDF officiels les rend souvent inaccessibles au grand public.

Qu'est-ce que S.A.R.A.L.-Couche d'Accès, de Récupération et d'Analy… ?

S.A.R.A.L. (Scheme Access Retrieval Analysis Layer) est une plateforme pilotée par IA qui résout le problème majeur de l'accessibilité aux programmes d'aide gouvernementale en Inde rurale. Alors que des milliers de programmes existent, leurs documents officiels (PDFs) sont rédigés dans un langage complexe, rendant leur compréhension difficile pour le citoyen moyen. La plateforme utilise l'IA pour analyser, résumer et simplifier ces documents, permettant ainsi aux utilisateurs de comprendre facilement leurs droits et les aides disponibles. Ce référentiel GitHub, étiqueté pour la découverte dans le cadre du Awesome Skills Launch Video, constitue la base technique du projet, avec une documentation détaillée (SKILL.md) expliquant son fonctionnement et son déploiement.

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npx skills add https://github.com/Manavv007/S.A.R.A.L.-Scheme-Access-Retrieval-Analysis-Layer-/tree/main/.kiro/skills/embedded-captions

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Documentation

Manavv007/S.A.R.A.L.-Couche d'Accès, de Récupération et d'Analyse des Programmes

S.A.R.A.L. est une plateforme avancée basée sur l'IA conçue pour combler le « fossé d'information » entre les citoyens ruraux indiens et les programmes d'aide gouvernementale. Alors que des milliers de programmes existent, le langage complexe des PDF officiels les rend souvent inaccessibles au grand public.

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

Marqué pour la découverte de tâches Awesome Skills Launch Video (soir du 2026-09-20).

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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