本文へ移動
cccskills

「rope」の検索結果

1,314 件 ・ 関連度順

概要と使いどころ

Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.

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。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3502026年8月22日 更新

Extract structured data from IFC (Industry Foundation Classes) files using IfcOpenShell. Parse BIM models, extract quantities, properties, spatial relationships, and export to various formats.

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。

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction3502026年8月22日 更新

Generates properly tagged UTM links with consistent naming conventions. Maintains a UTM registry file (utm-registry.json) to enforce naming consistency, prevent duplicates, generate short links, and output ready-to-copy links for LinkedIn, email, social, and ads.

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。

OneWave-AI/claude-skills3432026年10月2日 更新

Generate React components with TypeScript, proper props, hooks, and accessibility. Use when creating new React components, UI elements, or refactoring existing components.

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。

OneWave-AI/claude-skills3432026年10月2日 更新

Audit and sync design tokens between the source of truth (tokens.json, Figma variables export) and the code that should consume them (Tailwind config, CSS custom properties, theme files). Finds drift -- hardcoded values, orphan tokens, out-of-date copies -- and fixes it in the right direction.

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。

OneWave-AI/claude-skills3432026年10月2日 更新

Generate REST API endpoints with proper structure, validation, error handling, and types. Use when creating new API routes, endpoints, or backend services.

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。

OneWave-AI/claude-skills3432026年10月2日 更新

Use when data needs statistical analysis. Runs reproducible Python/R code for Table 1, diagnostic accuracy, agreement, regression, survival, propensity score, survey-weighted and repeated-measures models, with publication tables. Sample size is /calc-sample-size; pooling studies is /meta-analysis.

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。

Aperivue/medsci-skills3392026年10月12日 更新

faiss

無料

Guides Researchers through Faiss installation, dense and binary similarity search, index training and composition, persistence and evaluation, and explicitly gated CPU/GPU interoperability 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。

VectorSpaceLab/AREX-Skill3332026年9月3日 更新

Use DGL-LifeSci and dgllife for molecular graph learning, molecule featurization, datasets, property prediction, reaction prediction, binding affinity, model-zoo/pretrained models, and molecular generation 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。

VectorSpaceLab/AREX-Skill3332026年9月3日 更新

chemprop

無料

Use Chemprop 2.2.3 for molecular property prediction: CLI training, prediction, fingerprints, data validation, Python APIs, reaction/atom-bond tasks, uncertainty, hpopt, and conversion 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。

VectorSpaceLab/AREX-Skill3332026年9月3日 更新

Same pixels, fewer tokens — for user-facing deliverables where visual polish is the spec. Use when building or editing a landing page, marketing site, hero, pricing/feature section, dashboard, or any HTML/CSS UI component. Keeps the full rendered design (layout depth, hierarchy, motion, responsive richness, a11y) and cuts tokens by expressing that design densely — CSS custom properties, shared classes, shorthand, fluid units — instead of by cutting the design. The honey core trims code and prose; this trims how the design is *written*, never how it looks. Reach for it whenever output is user-facing markup, even if the user never says "minimal".

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。

Green-PT/honey-for-devs3302026年9月7日 更新

Guides the post-Schrems II Transfer Impact Assessment process following EDPB Recommendations 01/2020 six-step methodology. Covers destination country surveillance law assessment, European Essential Guarantees evaluation, and supplementary measures determination. Keywords: TIA, transfer impact assessment, Schrems II, EDPB recommendations, supplementary measures.

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。

mukul975/Privacy-Data-Protection-Skills3072026年3月17日 更新

Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.

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。

lingxling/awesome-skills-cn3072026年10月7日 更新

anywrite

無料

Compiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed.

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。

lingxling/awesome-skills-cn3072026年10月7日 更新

Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.

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。

lingxling/awesome-skills-cn3072026年10月7日 更新

xlsx

無料

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

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。

lingxling/awesome-skills-cn3072026年10月7日 更新

xlsx

無料

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

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。

MemTensor/skills-vote3042026年10月1日 更新

Production retopology for animation-ready, low-poly, quad-dominant meshes with proper edge loops and efficient polygon flow. Use after sculpting or high-poly modeling before rigging and UV work in Blender via MCP.

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。

arjun988/blender-skills2982026年7月11日 更新

Generate web assets including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Use when users need icons, favicons, social sharing images, or Open Graph images from logos or text slogans. Handles image resizing, text-to-image generation, and provides proper HTML meta tags.

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。

majiayu000/spellbook2872026年10月8日 更新

Complete testing strategy covering TDD workflow, test pyramid, unit/integration/E2E/property testing, framework best practices (Jest, Vitest, pytest), mock strategies, and CI integration. Use when writing tests, reviewing test quality, or establishing testing standards.

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。

majiayu000/spellbook2872026年10月8日 更新

Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding 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。

nicepkg/ai-workflow2852026年1月20日 更新

Fix invisible or poorly visible SVG icons in Flutter when using flutter_svg package. Use when: (1) SVG icons appear invisible despite correct colors in the SVG file, (2) Using Opacity widget to change icon visibility/state but icons don't render properly, (3) Tab bar or navigation icons disappear or have wrong colors, (4) Icons with fill="white" don't show on dark backgrounds. The fix is to use ColorFilter.mode() instead of Opacity widget for SVG icon state styling.

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。

divinevideo/divine-mobile2662026年10月14日 更新

Fix "Requested backend named 'X' does not exist" or TLS alert errors in Fastly Compute@Edge. Use when: (1) Backend works locally but fails in production with "backend does not exist", (2) TLS alert received (alert_id=0) errors when calling external APIs from Fastly, (3) Backends defined in fastly.toml aren't available after deployment. The fastly.toml [[backends]] section only applies during initial service creation - existing services require backends to be added via CLI or API with proper SSL/SNI configuration.

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。

divinevideo/divine-mobile2662026年10月14日 更新

Fix duplicate Nostr events in ClickHouse when using ReplacingMergeTree for NIP-33 addressable events (Kind 30000+). Use when: (1) Edited videos/events appear as duplicates, (2) Same d_tag shows multiple events with different IDs, (3) FINAL keyword doesn't deduplicate properly for parameterized replaceable events. The issue is that FINAL deduplicates by ORDER BY key (typically `id`), not by (pubkey, kind, d_tag).

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。

divinevideo/divine-mobile2662026年10月14日 更新