Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: jpeg-decoder

Annuaire en anglais

Plug-in vision for text-only models. Hard rule: when a file path or URL with an image extension (.png, .jpg, .jpeg, .webp, .gif, .heic, .heif) appears anywhere in the conversation (typed by the user, injected as a `[Image: source: <path>]` line, or inside a tag) and you cannot see that image's content, run this skill on it before any other approach: no self-built OCR, no PIL, no tesseract. Also triggers on pasted-image placeholders such as `[Image #1]` and `[Unsupported Image]`. If you can actually see the image, do not use this skill. When unsure, run `modlens guard` before the first read of a session: a deny verdict means the active model has native vision and must read the image itself. Runs the modlens CLI to convert the image into structured JSON evidence: every word transcribed, layout regions, semantics, visual clues. Also use when the user asks how to install, configure, or switch modlens providers (Gemini API key, OpenAI-compatible endpoints, Claude API or Claude Code CLI).

3.3K
Stars
59/100
Confiance
Catégorie: researchAudit

An agent-agnostic skill that records user workflows in browser or desktop and converts them into reusable AI-agent skills for Claude Code, Codex CLI, and opencode.

28
Stars
64/100
Confiance
Catégorie: coding-agentsAudit

Multilingual TTS model with voice cloning and duration control, based on T5Gemma encoder-decoder LLM

308
Stars
69/100
Confiance
Catégorie: media-automationAudit

A collection of seven Claude Code skills for job hunting that emphasize honest, fact-based CV optimization, STAR stories, cover letters, mock interviews, and more.

17
Stars
66/100
Confiance
Catégorie: productivityAudit

Generate one spoiler-free illustration for the current or specified chapter and save it under workspace assets/illustrations.

647
Stars
68/100
Confiance
Catégorie: imageAudit

Generate one image for an already established interactive-story turn.

647
Stars
70/100
Confiance
Catégorie: imageAudit

A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡

223
Stars
68/100
Confiance
Catégorie: robotics-iotAudit

Connectionist Temporal Classification (CTC) decoder with dictionary and language model.

577
Stars
70/100
Confiance
Catégorie: media-automationAudit

>-

340
Stars
61/100
Confiance
Catégorie: automationAudit

HTML to PDF or image (jpeg, png, webp) converter via Chrome/Chromium

803
Stars
64/100
Confiance
Catégorie: document-processingAudit

Fast native networking primitives for React Native built on Nitro Modules — react-native-nitro-fetch, react-native-nitro-websockets, and react-native-nitro-text-decoder. Covers the fetch API, global replacement, prefetching and cold-start cache warming, the NitroWebSocket class and pre-warming, migrating from React Native's built-in WebSocket, the in-process NetworkInspector, native Perfetto / Instruments tracing, the native TextDecoder, and plugging nitro-fetch into axios via a custom adapter.

161
Stars
68/100
Confiance
Catégorie: researchAudit