Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: punctuation-restoration

英語版ディレクトリ

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

13K
Stars
87/100
信頼
カテゴリ: media-automation監査

A skill for AI agents (Claude Code, Codex, Cursor) that rewrites Traditional Chinese text to remove AI writing patterns, correct China-Taiwan localization, and fix punctuation.

691
Stars
84/100
信頼
カテゴリ: utility監査

A DeepSeek Harness plugin that equips text-only agents with vision capabilities for image Q&A, long-screenshot OCR, UI restoration, grounding, and pixel diff, packaged as an installable skill with a Web UI.

491
Stars
80/100
信頼
カテゴリ: utility監査

Test Cherry Studio PRs by resolving and checking out a PR, statically inspecting its changes, running interactive UI tests against a safely tracked Electron instance through CDP, producing a structured report, cleaning up only the owned test instance, and restoring the original branch.

51K
Stars
77/100
信頼
カテゴリ: research監査

When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.

25K
Stars
77/100
信頼
カテゴリ: design-creative監査

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

1.4K
Stars
68/100
信頼
カテゴリ: robotics-iot監査

Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code. For samber/oops specifics → See `samber/cc-skills-golang@golang-samber-oops` skill; for slog handler ecosystem → See `samber/cc-skills-golang@golang-samber-slog` skill.

3.0K
Stars
72/100
信頼
カテゴリ: research監査

Fast continuation, exploratory drafts, and low-latency prose generation performed directly by the main Agent without review or revision subprocesses.

647
Stars
72/100
信頼
カテゴリ: writing監査

[ICLR2026] SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training

790
Stars
69/100
信頼
カテゴリ: media-automation監査

[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

747
Stars
66/100
信頼
カテゴリ: robotics-iot監査

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

735
Stars
66/100
信頼
カテゴリ: robotics-iot監査

[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

721
Stars
62/100
信頼
カテゴリ: robotics-iot監査