「writing」の検索結果

Cursorで実装計画を作り、依頼された実装の各ステップと実測結果を記録する。計画だけの依頼では実装へ進まず、親が計画・受入を所有する。`--deepplan` は明示時だけ使う。

Use when explaining or writing TBQ3 language syntax, including Params, Vars, Events, data types, variables, sequence variables, arrays, Map variables, control flow, operators, assignment, functions, and formula execution 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。

Coach German writing and conversation with minimal corrections, persistent root-cause mistake tracking (FehlerDNA), mistake-based spaced repetition with a new sentence every time, roleplay whose words return in spaced reviews, continuing preparation for real-life goals across sessions, and an honest progress profile. Use for German correction, personalized review, vocabulary, progress, roleplay, or preparation for an interview, presentation, appointment, or other concrete event; do not use for translation-only requests without learning or feedback.

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 findings into a defensible intelligence product — BLUF key judgements, standardised estimative probability language, per-claim sourcing with timestamps and archived copies, separated observation, inference and assessment,… Use when writing an intelligence report, due-diligence memo, evidence pack or executive summary, or when asked to write up an investigation so it survives challenge

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。

Weave a new node (concept, framework, theory, project, principle) into the whole vault graph rather than just creating a note. Mode A links one new node against the vault by top-K retrieval, with the LLM judging only those candidates; mode --deep finds orphaned islands and wires them in. Backup before edits, preview before writing. Triggers: "/relink", "integrate this concept".

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 content quality before anything is shown or sent (vault notes, outgoing drafts, dedup merges, service files) and return an explicit pass, fail or manual-review verdict. The counterpart of a post-build test gate: that one asks whether the build works, this one whether the writing is fit to show. Triggers: "/taste-check <path|text>", "/taste", "check this note".

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 serialized build-in-public content continuous: read one canon file of season, arcs, beats and loops and say which narrative beat to advance next, so episodes chain into a series. Pairs with the episode adapter, which does the writing. Triggers: "/reality-show", "season state", "what arcs are open".

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。

Pick up and continue a serialized build-in-public book: read the current state (which days are written in which languages, what is uncommitted, where the gaps are), then keep writing through the established pipeline. Triggers: "/journey", "the book", "continue the journey".

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。

Audit, grade, rewrite, and issue funny evidence-backed tickets for generic AI-slop patterns in prose, social posts, UI/design, and code. Use when asked to de-slop writing, humanize AI copy, grade a draft, review a landing page or generated interface, remove vague claims and repetitive rhetoric, inspect AI-written code for generic abstractions and happy-path-only logic, or ticket someone for a specific quality offense. Do not use to determine whether AI authored something.

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。

Submission-grade remote-sensing Nature/high-impact journal figure workflow for Python or R. Use whenever the user asks to create, revise, audit, or polish manuscript figures, multi-panel scientific plots, map-led composites, remote-sensing image plates, sensor/product workflow figures, validation/error/uncertainty panels, or journal-ready SVG/PDF/TIFF outputs, especially for Nature-family, Remote Sensing of Environment, ISPRS, IEEE TGRS, or other high-impact venues. Before plotting, define the figure's conclusion, evidence logic, export needs, and review risks. If the user has not chosen Python or R, ask "Python or R?" and stop. Use only the selected backend for figure generation, previewing, exporting, and QA. Supports matplotlib/seaborn and ggplot2/patchwork/ComplexHeatmap. Not for dashboards or Illustrator/Figma-first infographics. Also trigger on general academic-writing figure needs even without the word "Nature", such as making figures/plots for a paper, scientific/academic plotting, data visualization for a manuscript, and Chinese phrasings like 遥感论文配图、学术写作配图、科研绘图、科研作图、地图出图、论文图表、可视化.

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。

Simulate a Nature-style reviewer assessment from the referee perspective rather than an author rebuttal. Use when the user wants a pre-submission review, reviewer report, peer-review style critique, novelty/significance/technical soundness assessment, reviewer-style manuscript evaluation, 审稿人视角评估, 预审稿意见, or Nature reviewer report. Return 3 reviewer reports plus a cross-review synthesis, grounded only in the local Nature reviewer source basis. Also trigger on general pre-submission review requests during academic writing even without the word "Nature", such as getting a mock peer review for any journal, critiquing a draft as a reviewer would, assessing novelty/rigor before submission, and Chinese phrasings like 审稿人视角、模拟审稿、预审、帮我审一下论文、投稿前自审、审稿意见模拟、找论文问题.

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。

Remote-sensing literature search, citation verification, sensor/platform/dataset query strategy, citation file management (.ris/.bib/.enw conversion), and reference management (BibTeX, related articles, DOI/arXiv lookup) across CrossRef, arXiv, Scopus, ScienceDirect, Semantic Scholar, and domain web sources. Use when the user needs coordinated multi-step literature workflows for remote sensing, Earth observation, geospatial AI, GIScience, photogrammetry, SAR, hyperspectral imaging, LiDAR, satellite missions, benchmark datasets, land-cover mapping, change detection, object detection, segmentation, retrieval, or multimodal remote-sensing foundation models. Also trigger on general literature-search needs during academic writing even without the word "Nature", such as searching for papers/literature, doing a literature review, verifying a citation, converting citation files, and Chinese phrasings like 文献检索、查文献、找文献、 文献综述检索、查论文、引文核对、参考文献管理、文献去重.

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 a timestamped rainfall CSV (design storm, gauge record, climate-scenario series) into a MIKE+ rainfall .dfs0 via the mike-plus MCP server, verified by read-back, ready to drive a model's rainfall boundary or to sit on top of a hydrograph figure. Use when the user brings rain as CSV or asks to run a model with a different storm. No license required (writing the file); wiring it into the model needs one.

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。

UI stack, build, and test conventions for NV oOS React SPA addons (toolkit-shell, chat-spa, schedule-anything-spa, saas-controller) — three sanctioned build patterns plus the standalone Pro SPA Vite app (examples/nvoos-pro-spa-vite), dual-React guard, headless component rules, NDS tokens, Tailwind v4, @xyflow/react v12, vitest/jsdom gotchas, the full-JS-rebuild map, and the TS-shadows-JS webpack gotcha. Use when building or modifying SPA addon UI, writing SPA JS tests, upgrading SPA deps, or rebuilding JS for packaging.

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。

Author and validate nvoos-chart fenced-JSON chart blocks for NV oOS chat surfaces — 29 chart types across distribution, part-to-whole, ranking, change, special and grid families. Covers type selection, the v2 schema (values/series/data.items, mode, sort, direction, unit, animate, table, target), data-shape rules, the create_chart_fence server validator, the a11y checklist, and copy-paste JSON templates. Use when writing chart fences in assistant responses, choosing a chart type for data, validating chart JSON, or deciding between nvoos-chart, create_chart, generate_chart and generate_mermaid.

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。

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

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。

Google Sheets skill for reading and writing spreadsheets via the gws CLI. Covers cell reads, row appends, batch updates, sheet management, and formula 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。

Review and implement WordPress query-cache usage on WP 6.9+, especially direct interaction with query cache groups now using salted cache helpers. Covers wp_cache_get_salted, wp_cache_set_salted, wp_cache_get_multiple_salted, wp_cache_get_last_changed, affected query groups like post-queries, term-queries, user-queries, comment-queries, site-queries, and why plugins should usually use WP_Query APIs instead of writing query cache entries directly. Use when optimizing expensive reads, persistent object cache behavior, or cache invalidation bugs.

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 users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

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。

Design and write email marketing campaigns — newsletters, promotional sequences, abandoned cart recovery, welcome flows, and SMS reminders. Covers copywriting, segmentation, timing, and monthly campaign calendar integration. Use when you need to write newsletter copy, plan email sequences, design abandoned cart recovery, segment subscriber lists, or schedule promotional sends aligned with your marketing calendar.

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 WooCommerce product pages, category pages, and site content for search engines. Covers keyword research, meta tags, product descriptions, schema markup, internal linking, and local SEO. Use when writing product titles/descriptions, conducting keyword research, auditing pages for SEO gaps, setting up internal linking, adding schema markup, or optimizing for local search visibility.

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。

Angular performance optimization and best practices guide. Use when writing, reviewing, or refactoring Angular code for optimal performance, bundle size, and rendering efficiency.

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。

Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiabl

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。

Proves the system works by writing and executing comprehensive test suites.

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。