Expert copy editor for Quarto (.qmd) files. Checks grammar, spelling, punctuation, and academic writing quality. Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to proofread, check grammar, fix typos, or review prose in a .qmd document. For APSA style rules (numbers, citations, capitalization, abbreviations, neutral language), use the apsa-style skill instead. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Prose quality checker for Quarto (.qmd) files, grounded in William Zinsser's *On Writing Well* (30th Anniversary Edition). Checks for clutter, weak verbs, hollow qualifiers, clichés, inflated academic voice, poor leads and endings, pronoun and tense inconsistency, and unclear explanation. Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to improve prose quality, tighten writing, reduce clutter, or apply Zinsser's writing principles to a draft. For grammar and punctuation, use the proofread skill. For APSA style rules, use the apsa-style skill. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Takes a proofread or apsa-style report file (or any markdown file using **Original:** / **Recommended:** syntax) and rewrites the original source file with git merge conflict markers so the user can accept or reject each suggested edit using VS Code or Positron's built-in merge conflict UI. Branch names are "original" and "claude-edits". Use when asked to apply edits, insert conflict markers, or set up merge resolution for a copy-edit report. Supports an optional @sec-label argument to restrict markers to one section.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Convert Markdown files to Word documents (.docx) with proper formatting, Chinese font support (FangSong for all text including headings), black font color, 1.5x line spacing, precise first-line indent (24pt), heading spacing after (1 line), no italic headings, and automatic superscript conversion for citation numbers. Use when converting .md files to .docx, creating Word documents from markdown, or when user mentions Word, DOCX, or document conversion. Requires pandoc.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Cost-benefit analysis. Produces economic NPV and financial NPV side by side, with BCR, optimism bias (with mitigation), Marginal Excess Tax Burden, real-terms rebasing, WELLBY / QALY / VPF wellbeing valuation, sensitivity, switching values, EANC for unequal-life options, validation gate, and a one-line headline verdict (socially worthwhile vs financially self-sustaining). Backed by the greenbook R package (HM Treasury Green Book primitives) when available, with graceful fallback. Supports HMT Green Book, EU Better Regulation, World Bank, ADB, and Victorian HVHR. Reads a longlist markdown file directly via --from.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Brainstorm a longlist of benefits and costs for a project. Outputs two clean tables (benefits and costs), each with materiality (H/M/L), a cash flow tag (cash in / cash out / non-cash), a quantification method, and a monetisation method. Supports HMT Green Book, EU Better Regulation Guidelines, World Bank, Asian Development Bank, and the Victorian Treasury High Value High Risk (HVHR) framework.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Industry and market research. Market sizing, structure, competition, regulation, supply chains, pricing, M&A. Produces a single compact, source-cited research report with Porter's Five Forces, HHI / CR4, PESTLE, and trade flows. Supports UK, US, EU, Australia, and global scope, with multi-geography comparison.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Macroeconomic monitor. Supports UK, US, Euro area, and Australia. Pulls GDP, inflation, employment, wages, rates, trade, housing, and fiscal data. Each country follows its central bank's reporting structure. Produces a single clean briefing with a traffic-light assessment and user-selectable sub-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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Public finances briefing. Supports UK, US, and Australia. Produces a single compact briefing on borrowing, debt, receipts, spending, and fiscal rules. Optional debt sustainability analysis via the debtkit R package. User-selectable sub-components and multi-format export.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI patterns," "audit writing for AI tells," or "make this sound less like AI." Supports a detection-only mode that flags patterns without rewriting.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, and Socratic guided modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Academic paper writing skill with 12-agent pipeline. v2.5: Style Calibration (learn author's writing voice from past papers) + Writing Quality Check (writing quality checklist for natural prose). Supports IMRaD, literature review, theoretical, case study, policy brief, and conference paper structures. APA 7.0 (default), Chicago, MLA, IEEE, Vancouver citation formats. Bilingual abstracts (zh-TW + EN). Multi-format output (LaTeX, DOCX, PDF, Markdown). Triggers on: write paper, academic paper, paper outline, write abstract, revise paper, check citations, convert to LaTeX, guide my paper, parse reviews, revision roadmap, 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 檢查引用, 引導我寫論文, 帶我規劃論文, 逐章規劃, 論文架構, 審查意見, 修訂路線圖.
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。
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4,6272026年10月12日 更新
Read when the user asks what OpenKnowledge is, wants to install it on a repository, wants to open or preview a single markdown file that is not part of an OpenKnowledge project, wants to share an OpenKnowledge project with collaborators, asks whether OpenKnowledge supports a particular capability, or asks how `ok init` / `ok cowork` / OK Desktop set up a project. Do NOT load to perform OpenKnowledge reads/writes — the runtime guidance for editing markdown inside an initialized OK project ships as a separate project-local skill installed into each detected agent's skills dir (for example `.claude/skills/open-knowledge/`) whenever `ok init` runs.
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。
inkeep/open-knowledge☆ 4,5782026年10月15日 更新
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
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。
ruvnet/RuVector☆ 4,5662026年10月14日 更新
Call a C# method by reflection — including private methods. Requires a method schema obtained via 'reflection-method-find'. Supports static methods, instance methods (with optional target deserialization), and main-thread / off-thread execution.
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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新
Execute Unity tests (`EditMode` or `PlayMode`) and return per-test results. Supports filtering by test assembly, namespace, class, and method. Refreshes the AssetDatabase first; defers execution across domain reloads if scripts changed. Precondition: every open scene must be saved — dirty scenes abort the 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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新
Retrieve the list of root GameObjects in the specified opened scene (or the active scene when `openedSceneName` is empty). Supports token-saving path-scoped reads over the root-GameObjects array via `paths` or `viewQuery`. Use 'scene-list-opened' to enumerate scenes.
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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新
Generate a JSON Schema for a C# type name via reflection. Supports primitives, enums, arrays, generic collections, dictionaries, and complex objects. Knobs control inclusion of nested `$defs` and whether type-level / property-level descriptions are emitted.
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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新
Compiles and executes C# code dynamically using Roslyn. Supports a full-code mode (default) and a body-only mode — see the skill body for the difference and for how to pass Unity object references as parameters.
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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新
Read a `.cs` script file and return its content as a string. Supports a 1-based `lineFrom`/`lineTo` slice for partial reads. Pair with 'script-update-or-create' to write back.
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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新
Return the Unity profiler's current enabled state, active modules, max-used memory, and platform support flag. Read-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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新
Get serialized data for a Unity `UnityEngine.Object` — all serializable fields and properties. Supports token-saving path-scoped reads via `paths` or `viewQuery`. Pair with 'object-modify' when you need to write back.
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。
IvanMurzak/Unity-MCP☆ 4,4582026年10月13日 更新