「eas」の検索結果

Maintain docs of record, ADRs, changelog, and house style. Use when writing repo docs. Do not use for release steps; use night-market-operations instead.

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 and interpret repo diagnostic scripts (ratchets, validators, token stats). Use when measuring health. Do not use to run tests; use night-market-operations.

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。

Applies microservices for independent deployment and per-service scaling. Use when teams need autonomous release cycles with distinct capability scaling needs.

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。

Polishes working code through successive quality passes in fresh subagents. Use after tests pass when code needs multi-dimension refinement 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。

Review plugin quality with tiered checks and dependency scoping. Use for PR and pre-release audits.

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。

Classify, gate, and review changes. Use when landing a PR, releasing, or amending rules. Do not use for failure triage; use night-market-debugging-playbook.

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。

Turn hunches into accepted results: worthiness score, evidence bar, research-to-rules. Use when vetting ideas. Not for QA; use night-market-validation-and-qa.

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。

Assess whether to escalate models. Use when evaluating reasoning depth.

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。

Sweep plugins, skills, agents, commands, and hooks after a model release or Claude Code version bump. Use when upstream ships. Do not use for routine edits; use night-market-change-control.

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。

Operate the legacy Frustum PointNets code release for KITTI or SUN RGB-D data preparation, TensorFlow runtime setup, training, inference, and 3D detection evaluation.

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。

Guide FunClip ASR video/audio clipping, LLM-assisted clipping providers, and release packaging workflows.

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。

Foolbox operating guidance for wrapping vision models, running adversarial attacks, measuring clean and robust accuracy, handling NumPy/PyTorch/TensorFlow/JAX backends, and loading Foolbox-compatible model-zoo repositories.

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 Hugging Face Evaluate to load metrics, comparisons, and measurements; compute and combine results; run evaluator pipelines; create custom modules; troubleshoot optional dependencies, cache, Hub, and CLI workflows.

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 ColBERT/colbert-ai for late-interaction retrieval: prepare data, inspect configs, train/fine-tune, index collections, search rankings, update indexes, serve search, evaluate MS MARCO/LoTTE outputs, or reason about Baleen multi-hop retrieval.

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。

Route AI-Optimizer reinforcement-learning collection tasks across model-based RL, easy-MARL, offline RL, safe command builders, and repository limitations.

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。

Operate AnyLabeling desktop annotation, auto-labeling model, dataset export, install, packaging, and release workflows for the PyQt6/ONNX image-labeling package.

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。

Honey for plain Claude — the terse-prose core with no agent-harness features. Paste into a claude.ai Project's custom instructions, a Style, or an API system prompt. Strips filler, hedging, and pleasantries from every response while keeping facts, names, numbers, steps, and code exact. No tools required.

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。

Read huge, dense, read-only text as rendered PNG pages instead of raw text — image tokens scale with pixels, not characters, so token-dense bulk (big files, vendored code, diffs, logs) costs ~60–75% less as an image. Use when you must skim or reason over thousands of lines you will NOT edit or byte-copy. Lossy on exact strings: never for files you'll Edit, secrets, hashes, or byte-exact values. Fable-class readers only.

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 less code and say less about it. Applies YAGNI and stdlib/native-first so the agent writes the minimum code that needs to exist, and responds tersely — stripping filler, hedging, and pleasantries while keeping code, identifiers, and technical terms exact. Use whenever writing, modifying, refactoring, reviewing, or explaining code, or any response where output volume drives token cost — even if the user never says "minimal" or "concise". Especially in agentic coding, where the volume of generated code and prose runs up the bill.

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。

Press the mouse button without releasing it

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 the mouse button

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。

Cut or check Runner nightlies — one workflow for macOS and Windows, one public prerelease, shared stamp, and separate stable feeds

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。

This skill should be used when the user asks to "brainstorm a story idea", "I have an idea for a story", "what if", "develop a premise", "is this idea strong enough", "workshop my logline", "premise", "story concept", "what should I write", "short story or novel", "novella or novel", "name my book", "title ideas", or has a spark (an image, a character, a setting, a question) and wants to turn it into a tested premise before starting a story project. NOT for the controlling idea or theme of an existing story (use theme-craft).

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。

This skill should be used when the user asks to "create a location", "add a location", "magic system", "political system", "build the world", "add culture", "world history", "technology system", "religion", "economy", "map", "travel times", "routes", "calendar", "moons", "seasons", "naming language", "conlang names", "trade routes", "supply lines", "magic cost", "add a glossary term", "glossary", "invented word", or wants to develop any aspect of a story's world and setting. NOT for a glossary for translators (use adaptation).

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。