「index」の検索結果

Automate the full QuarkPanTool → mswnlz GitHub content publishing pipeline. Supports Quark / Baidu / Aliyun drives with multi-account rotation. Use when the user provides share URLs and wants: (1) auto-detect drive type and route to correct handler, (2) save resources with automatic account rotation, (3) clean junk files from shared folders, (4) copy promotional files into each folder, (5) generate permanent encrypted share links, (6) auto-classify items into local content dirs (book/movies/AIknowledge/tools/etc.), (7) append/update YYYYMM.md and README index, (8) local git commit, (9) send unified Telegram notifications to multiple groups, (10) rebuild site and deploy to Cloudflare Pages.

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。

Find web sources with query-relevant page excerpts and optional full-page content, and discover workflows, data APIs, and indexes. Use for web research or finding structured records, listings, transcripts, and datasets. Supports semantic tool discovery, domain matching, and progressive catalogue browsing.

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。

Find a direct path to structured data through ready-made workflows, data APIs, and indexes. Follow the search skill to discover and inspect tools, then the scrape skill to execute them.

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 setting up Firestore, designing schemas, doing CRUD, creating listeners, paginating queries, configuring indexes, enabling offline persistence, or writing security rules.

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。

SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns

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。

Weekdays, file work only, no browser at all. Reads every run record since it last ran, folds the published, draft, indexing, and rank ledgers, folds the card inbox into the work board, marks the single card the draft run works today, and writes the short morning brief the member opens first. It holds publishing and spending unless you released the channel, and it never touches a credential.

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。

在对具有多层索引的Pandas DataFrame进行分组计算时，确保返回的结果保留原始的完整索引结构，而不是仅保留分组键。

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。

Install, discover, and wire registry blocks and components into HyperFrames compositions. Use when running hyperframes add or hyperframes catalog, installing one item or every block matching a tag, wiring an installed item into index.html, or working with hyperframes.json. Covers discovery, install locations, block sub-composition wiring, component snippet merging, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).

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。

Search, create, and manage notes in the Obsidian vault with wikilinks and index notes. Use when user wants to find, create, or organize notes in Obsidian.

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。

Apply PostgreSQL standards for migrations, indexing, transactions, and ORM boundaries. Use when editing entities, Prisma schema, migrations, RLS, or query-performance work for PostgreSQL.

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。

Apply MongoDB data-modeling, indexing, and query rules from access patterns. Use when designing schemas, choosing embed vs reference, or tuning MongoDB query behavior.

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。

N개 brand experiment를 한 화면에서 비교하는 gallery index.html을 생성. 각 카드는 brand name, wow rating, multi-turn refinement deltas, iframe scaled preview, standalone link 포함. '결과물 한 번에 보여줘', '갤러리 만들어', '5개 비교 뷰', 'experiment 결과 정리' 류 트리거. omd:harness가 N개 brand batch 작업 끝낸 직후 자동 호출되거나 사용자가 명시적으로 호출.

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。

Document modeling, aggregation pipeline, indexing strategy, change streams, and multi-document transactions.

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。

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

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。

JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.

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。

Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.

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。

Mapping design, query optimization, aggregation patterns, index lifecycle management, and search relevance tuning.

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。

Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.

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。

Provides design token system and theming framework for consistent, customizable UI styling across all components. Covers complete token taxonomy (color, typography, spacing, shadows, borders, motion, z-index), theme switching (CSS custom properties, theme providers), RTL/i18n support (CSS logical properties), and accessibility (WCAG contrast, high contrast themes, reduced motion). This is the foundational styling layer referenced by ALL component skills. Use when theming components, implementing light/dark mode, creating brand styles, customizing visual design, ensuring design consistency, or supporting RTL languages.

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。

Optimize SQL query performance through EXPLAIN analysis, indexing strategies, and query rewriting for PostgreSQL, MySQL, and SQL Server. Use when debugging slow queries, analyzing execution plans, or improving database performance.

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。

LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns.

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。

Download PDFs (when available) and extract plain text to support full-text evidence, writing `papers/fulltext_index.jsonl` and `papers/fulltext/*.txt`.

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。

Fill `outline/tables_index.md` from `outline/table_schema.md` + evidence packs (NO PROSE in cells; citation-backed rows).

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。

Rewrite `outline/claim_evidence_matrix.md` as a projection/index of evidence packs (NO PROSE), so claims/axes are driven by `outline/evidence_drafts.jsonl` rather than outline placeholders.

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。