Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

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Hasil pencarian: jpeg-decoder

Direktori bahasa Inggris

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
Kepercayaan
Kategori: 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
Kepercayaan
Kategori: coding-agentsAudit

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

308
Stars
69/100
Kepercayaan
Kategori: 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
Kepercayaan
Kategori: productivityAudit

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

647
Stars
68/100
Kepercayaan
Kategori: imageAudit

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

647
Stars
70/100
Kepercayaan
Kategori: imageAudit

A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python ๐ŸŽž๏ธโšก

223
Stars
68/100
Kepercayaan
Kategori: robotics-iotAudit

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

577
Stars
70/100
Kepercayaan
Kategori: media-automationAudit

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340
Stars
61/100
Kepercayaan
Kategori: automationAudit

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

803
Stars
64/100
Kepercayaan
Kategori: document-processingAudit

Fast native networking primitives for React Native built on Nitro Modules โ€” 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
Kepercayaan
Kategori: researchAudit