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: exponential-smoothing

英語版ディレクトリ

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

34K
Stars
77/100
信頼
カテゴリ: data-analysis監査

Unified WebSocket gateway for accessing multiple AI coding agents across platforms.

45
Stars
68/100
信頼
カテゴリ: development監査

Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.

304
Stars
67/100
信頼
カテゴリ: robotics-iot監査

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

496
Stars
63/100
信頼
カテゴリ: media-automation監査

Use when user wants to create a full slide deck or presentation using PaperBanana image generation, OR modify/regenerate an existing PaperBanana slide deck, OR build an editable PPTX with native text/tables/charts. Triggers on "make slides", "create presentation", "PPT", "slide deck", "regenerate slides", "update slides", "paperbanana slides", "editable PPTX", "editable slides". Also triggers when user has an existing slide-deck directory with outline.md and wants to regenerate images or make changes. This is the PRIMARY slide deck skill — always prefer over baoyu-slide-deck.

47
Stars
61/100
信頼
カテゴリ: design-creative監査

DORMANT (ADR-0017, 2026-07-20) - the TERMINAL VELOCITY scroll-film was retired and apps/landing is a static site with no GL surface; this skill is preserved for any future WebGL rebuild (conventions, verified version pins, playhead/scroll-rig/VAT/Gerstner/post-chain patterns, budgets, gate + semantic-layer machinery). Do not load for current apps/landing work - the static site routes to project-steward.

48
Stars
60/100
信頼
カテゴリ: design-creative監査

Designs event-driven systems with CloudEvents schemas, message brokers, idempotency keys, and dead-letter queues.

21
Stars
61/100
信頼
カテゴリ: design-creative監査

Adapt and audit a PFC 5.0 asphalt Marshall stability/flow simulation using the external fistPkg26 dc.fis two-head controller as a starting skeleton; use for curved-head geometry, PFC5 wall/contact kinematics, load-deformation histories, peak stability, edition-specific flow processing, and validation against laboratory data.

17
Stars
56/100
信頼
カテゴリ: security監査

Generate, write, or run an ad-hoc query against SigNoz observability data — metrics, logs, or traces — without wrapping it in a dashboard panel or alert. Make sure to use this skill whenever the user asks "show me error rates", "query logs for timeout errors", "what's the p99 latency for the cart service", "how many requests hit the payment endpoint", "find slow traces", "errors in the last hour", or otherwise asks an exploratory question that needs live observability data — even if they don't say "query" or "search" explicitly.

15
Stars
58/100
信頼
カテゴリ: research監査