「ost」の検索結果

Generalised autonomous optimisation loop — soft RLVR for any artifact a user can measure. Use this skill whenever a user wants to iteratively improve an artifact — code, prompts, documents, configs, designs, content — by running structured experiments, evaluating results against a multi-dimensional rubric, and learning from each attempt. Triggers include: "optimise this", "keep improving until it's good", "run experiments on", "autoresearch", "iterate on this overnight", "try different approaches and pick the best", or any request implying repeated evaluate-and-improve cycles. Also use when the user wants to improve a system prompt, a data pipeline, a writing style, or any artifact where quality can be decomposed into measurable tracks. For inference optimisation tasks (model latency, throughput, quantization, GPU deployment), a* delegates the low-level tuning to AITune while maintaining quality tracking and learning.

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Generalised autonomous optimisation loop — soft RLVR for any artifact a user can measure. Web runtime package: uses memory in this order: connector-backed, project-pack, none. Never assumes subprocess access or unrestricted local files. Use this skill whenever a user wants to iteratively improve an artifact — code, prompts, documents, configs, designs, content — by running structured experiments, evaluating results against a multi-dimensional rubric, and learning from each attempt. Triggers include: "optimise this", "keep improving until it's good", "run experiments on", "autoresearch", "iterate on this overnight", "try different approaches and pick the best", or any request implying repeated evaluate-and-improve cycles.

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。

Framework-agnostic SQLAlchemy 2.0 core shared by fastapi-plugin and flask-plugin: declarative mapped classes with Mapped/mapped_column, column type selection, relationships with explicit lazy loading and cascades, 2.0-style select() querying, transaction/flush discipline, and Alembic-agnostic migration metadata rules. Framework plugins layer their delta skills (async sessions for FastAPI, Flask-SQLAlchemy integration for Flask) on top of this skill. Use this skill to: - Write SQLAlchemy 2.0 declarative models with Mapped[T] annotations and mapped_column(). - Pick correct column types (String(N), Numeric, DateTime(timezone=True), Uuid, Enum). - Define relationships with explicit lazy loading strategy and cascade settings. - Query with 2.0-style select() statements and manage flush vs commit boundaries. - Keep model metadata visible to Alembic autogenerate. Do NOT use this skill for: - FastAPI async engine/session lifecycle — see fastapi-plugin:sqlalchemy-patterns. - Flask-SQLAlchemy extension setup and Flask-Migrate — see flask-plugin:sqlalchemy-patterns. - Python idioms — see python-foundation:python-conventions.

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。

Hook スクリプトを claude-code-plugin リポジトリの正しい構造に配置するスキル。 hook の構造検証、既存 hook との重複チェック、plugin.json 生成、marketplace.json 登録を行う。 Use when: hook をプラグインリポジトリに公開したい、hook を移動したい、hook をパッケージ化したい。 Triggers: "hook を公開", "hook publish", "hook をプラグインに追加", "PostToolUse hook を配置", "hook をコピー", "hook publisher"

Agent Teams スキルを設計・構築するためのベストプラクティスガイド。 サブエージェント定義、SendMessage 通信プロトコル、タスク依存管理、 PostToolUse Hook によるログ、MCP ツール統合、コンテキストファイル設計を網羅。 7つの実績あるチームスキル（app-naming, ui-review, logo-design, persona-creation, skill-creator-team, ui-variations, aso-optimize）から抽出したパターン集。 Use when: Agent Teams を使ったスキルを新規作成したい、 既存のチームスキルの品質を改善したい、エージェント間通信のデバッグ、 チームスキルの設計パターンを知りたい。 Triggers: "agent team", "チームスキル", "エージェントチーム", "サブエージェント定義", "SendMessage パターン", "チーム設計", "エージェント間通信", "team skill", "swarm pattern"

Execute queries on the Postgres database. Use this skill DIRECTLY whenever the user asks anything about database contents, counts, or data — do NOT read compose.yml or SQL migration files first.

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 a measured cost surface needs one-change-at-a-time reduction under frozen guardrails. Not for speed-only optimization: use optimize.

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 a human explicitly requests the daily on-call issue digest from a named issue tracker for a configured Slack channel. Not for posting without explicit human authorization for that run.

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。

Select at most one eligible Proto UI work item and return a read-only proposal without changing GitHub or repository state. Use after pui-orient when requested contribution work is not yet bounded, or when a user asks what ready task fits the current capability and permission envelope. Do not post a claim, assign anyone, decide readiness, or invent work.

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。

Fix Node.js CLI tools crashing inside Docker containers when host-installed node_modules require a newer Node version than the container provides. Use when: (1) "SyntaxError: Invalid regular expression flags" with /v flag in string-width or similar packages, (2) node_modules installed on host with Node 20+ but container has Node 18, (3) `npm install` with file: protocol creates symlinks that break inside Docker, (4) pnpm workspace packages become broken symlinks in containers. Covers version detection, Node binary mounting, and npm install strategies for cross-version compatibility.

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。

Fix nodes silently disappearing from RFDB when an enricher or post-resolution pass writes new nodes via BatchHandle. Use when: (1) writing a TypeScript enricher that should ADD nodes/edges to existing files, (2) after calling `client.createBatch()` + `batch.addNode({file: 'X', ...})` + `batch.commit()` the original nodes in file X have vanished, (3) tests that load a graph fixture, run an enricher, then query original nodes get empty results, (4) a verification step shows expected nodes pre-enrichment but 0 post-enrichment. Root cause: `BatchHandle.commit()` invokes RFDB's `commit_batch` which AUTO-POPULATES `changed_files` from each added node's `file` field, then the server DELETES all existing nodes whose `file` matches before inserting new ones — file-level upsert semantics. This is correct for the JS/Haskell analyzers (which fully re-emit a file's contents) but catastrophic for enrichers that only ADD to existing files.

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。

Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, Google Cloud migration, migrate from OpenAI to Bedrock, move off OpenAI, switch from ChatGPT API to AWS, migrate from Gemini to Bedrock, migrate LangChain to Bedrock, migrate LangGraph to AWS, migrate agentic workloads to AWS, move AI workloads to AWS, migrate my AI app to AWS. Runs a 6-phase process: discover GCP resources from Terraform files, app code, or billing exports, clarify migration requirements, design AWS architecture, estimate costs, generate migration artifacts, and collect optional feedback. Clarify must finish before Design, Estimate, or Generate. Includes AI provider migration guidance (for example, OpenAI to Amazon Bedrock) by selecting closest-fit Bedrock model families for required modality, latency/quality targets, context windows, and cost constraints. Model mapping is compatibility-guided, not 1:1 parity; validate prompts, tool-calling behavior, and eval metrics before cutover. Do not use for: Azure or on-premises migrations to AWS, AWS-to-GCP reverse migration, general AWS architecture advice without migration intent, GCP-to-GCP refactoring, or multi-cloud deployments that do not involve migrating off GCP.

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 user wants to run SQL - especially analytical SQL - on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting up a server. Provides chDB - embedded ClickHouse SQL in Python with 1000+ functions, Session for stateful multi-step pipelines, parametrized queries, and cross-source joins via `s3()`, `mysql()`, `postgresql()`, `iceberg()`, `deltaLake()`, `remoteSecure()` table functions. TRIGGER when: user wants SQL on parquet/csv/files or across remote analytical sources; uses ClickHouse SQL features (window functions, windowFunnel, geoToH3, JSON path ops, Session, parametrized queries); imports `chdb` or calls `chdb.query()`. SKIP this skill for pandas-style DataFrame method-chaining (use chdb-datastore instead) or ClickHouse server administration.

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。

Post-ship documentation update. Reads all project docs, cross-references the diff, updates README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md to match what shipped, polishes CHANGELOG voice, cleans up TODOS, and optionally bumps VERSION. Use when asked to "update the docs", "sync documentation", or "post-ship docs".

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 uploaded photos into full-canvas 3:4 impasto miniature-landscape posters. Use for sculptural oil-paint dioramas, tactile impasto scenes, or when this skill is invoked.

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 uploaded photos into full-canvas 3:4 perforated watercolor travel-card posters. Use for watercolor memory cards, perforated ticket cards, travel archive layouts, or when this skill is invoked.

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 travel photos with recognizable architecture or human-made landmarks into 3:4 folk ink-and-color posters, with either a photo comparison layout or a full-canvas redraw. Do not use when no landmark is recognizable.

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 travel photos into 3:4 opaque-gouache posters using a split photo/still-life layout, a full-canvas object still life, or a full-scene gouache redraw.

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 photos into quiet 3:4 editorial posters using pure black ink masses, controlled stippling, pristine ivory paper, and either split comparison or full-canvas composition.

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 photos with a clearly isolated landmark into two-color 3:4 kraft-paper stencil posters, in split comparison or full-canvas mode. Do not use when no single landmark is recognizable.

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 uploaded photos into full-canvas 3:4 observational pen-and-wash posters. Use for minimal sketchbook studies, airy pen wash, rhythmic linework, or when this skill is invoked.

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 uploaded photos into full-canvas 3:4 isometric healing-block sculpture posters. Use for rounded modular sculptures, gentle isometric block art, or when this skill is invoked.

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 travel photos with recognizable people into 3:4 posters where real photographed environments contain warm-white paper sketch figures, in split comparison or full-canvas mode.

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 uploaded photos into full-canvas 3:4 handcrafted travel diorama posters. Use for papercraft models, tactile miniature travel scenes, or when this skill is invoked.

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。