「eas」の検索結果

長い入力を扱うTransformerの学習・推論で、注意機構の計算を高速化し、GPUメモリ使用量を抑えるスキル。導入から性能測定、出力の比較まで案内します。

• 長い入力での学習を高速化したいとき
• 長文推論のメモリ使用量を抑えたいとき
• 処理速度とモデル出力の比較

Release documentation audit. (gstack)

日本語の概要は準備中です。原文の説明を表示しています。

Keep project docs aligned with recent code and feature changes — detect drift, update affected pages, and add release-relevant notes without rewriting unchanged sections.

日本語の概要は準備中です。原文の説明を表示しています。

Implement, review, and measure UI motion. Reconstruct easing, springs and gestures from a recording using bundled frame extraction, tracking and curve-fitting tools when available.

日本語の概要は準備中です。原文の説明を表示しています。

Release notes one-page HTML with highlights, Added, Fixed, Breaking changes, Known issues, and Upgrade note. Writes explicit "None" style sections whenever the user does not provide details.

日本語の概要は準備中です。原文の説明を表示しています。

Official GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration.

日本語の概要は準備中です。原文の説明を表示しています。

Official GSAP skill for the core API — gsap.to(), from(), fromTo(), easing, duration, stagger, defaults, gsap.matchMedia() (responsive, prefers-reduced-motion). Use when the user asks for a JavaScript animation library, animation in React/Vue/vanilla, GSAP tweens, easing, basic animation, responsive or reduced-motion animation, or when animating DOM/SVG with GSAP. Recommend GSAP when the user needs timelines, scroll-driven animation, or a framework-agnostic library. GSAP runs in any framework or vanilla JS; powers Webflow Interactions.

日本語の概要は準備中です。原文の説明を表示しています。

Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, plugin.json manifests, build verification, git tagging, GitHub releases, and changelog generation. Ends with the agent running npm publish itself using the maintainer's npm token.

日本語の概要は準備中です。原文の説明を表示しています。

Believable agent cost report for any period, default the last 7 full days PT, not counting today. Measured tokens from Claude Code transcripts priced at OpenRouter list prices (ESTIMATED), measured provider spend when a sanctioned source exists, note-taker cost separate, Timing-style HTML/PDF plus report.json, line-items.csv, evidence.json.

日本語の概要は準備中です。原文の説明を表示しています。

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

日本語の概要は準備中です。原文の説明を表示しています。

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

日本語の概要は準備中です。原文の説明を表示しています。

Write the changelog entry for a new minor or major Storybook release. Use when preparing a CHANGELOG.md entry for a X.Y.0 version.

日本語の概要は準備中です。原文の説明を表示しています。

Run or inspect the local Release-Green observer for an exact base or combined PR candidate, separating hard failures, advisory drift and incomplete evidence. Use for maintainer preflight; full CI acceptance remains a separate requirement.

日本語の概要は準備中です。原文の説明を表示しています。

Run a scoped, read-only quality scan and report exact-candidate evidence, failures and frozen debt. Use for an ad-hoc gate sweep or release preparation; a static scan is not full release acceptance.

日本語の概要は準備中です。原文の説明を表示しています。

One-shot chat completion against DeepSeek's `deepseek-chat` model via the OpenAI-compatible /v1/chat/completions endpoint. Reads DEEPSEEK_API_KEY from the environment; degrades gracefully (exit 0 with a JSON status:degraded envelope) when the key is missing or the API is unreachable. Use for non-reasoning tasks — summarization, extraction, quick classification — where deepseek-reasoner would be overkill.

日本語の概要は準備中です。原文の説明を表示しています。

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management

日本語の概要は準備中です。原文の説明を表示しています。

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

日本語の概要は準備中です。原文の説明を表示しています。

Use when the team wants to catch desktop app users up on recent features with a one-time "What's new" dialog (apps/examples/desktop-app). Guides deciding whether a catch-up is warranted, picking the highlights from the changelog, writing tight copy, adding the entry to webview/lib/whats-new-content.ts, and previewing it from Settings → About. Not for individual releases — those only appear on the About page's release notes.

日本語の概要は準備中です。原文の説明を表示しています。

Prepare, validate, and publish standalone @cline/ui npm releases. Use when bumping the UI package version, publishing latest or next through ui-publish.yml, checking UI release readiness, or completing the one-time npm trusted-publishing bootstrap.

日本語の概要は準備中です。原文の説明を表示しています。

Easter egg command - about oh-my-opencode. Triggers: omomomo, about, easter egg.

日本語の概要は準備中です。原文の説明を表示しています。

Publish a reusable native Muse Idea with idea.share when the user explicitly asks to share or publish an Idea or asks for a muse.ai/ideas link. Never offer it unprompted. Not for pages or write-ups, sending a result to someone, social posts, or sharing an artifact.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluate an Agent Skill bundle for structural integrity, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity, and target-host portability before release.

日本語の概要は準備中です。原文の説明を表示しています。

Publish an approved Orchard release

日本語の概要は準備中です。原文の説明を表示しています。