AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
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。
SwiftUI ↔ Figma translation. Use whenever the user mentions Swift, SwiftUI, iOS, iPhone, or iPad — in EITHER direction — translating a Figma design into SwiftUI (design → code), or pushing SwiftUI views / screens / tokens back into a Figma file (code → design). Triggers on phrases like 'implement this Figma design in SwiftUI', 'build this screen in Swift', 'push this SwiftUI view to Figma', 'mirror my Swift code in a Figma file', or whenever a Figma URL appears alongside `.swift` files / an `.xcodeproj`. Routes to a direction-specific reference doc; loads alongside `figma-use` for the code → design path.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Translation between Figma designs and SwiftUI code, both directions. This file is a router — actual guidance lives in the references below.
| Direction | Trigger | Reference |
|---|---|---|
| Design → code | User wants SwiftUI in their iOS project from a Figma file/frame | references/design-to-code.md |
| Code → design | User wants to push SwiftUI views / screens / tokens into a Figma file | references/code-to-design.md |
If the request is ambiguous — a Figma URL and .swift files both present, no verb makes it clear — ask the user which direction before loading a reference.
These points hold regardless of direction; the direction-specific references assume them.
get_design_context is the read tool for Figma. Pass clientLanguages: "swift" and clientFrameworks: "swiftui" so the response is framed as Swift. URL → tool args: figma.com/design/:fileKey/:fileName?node-id=:nodeId → use fileKey, replace - with : in nodeId. For figma.com/design/:fileKey/branch/:branchKey/:fileName, use branchKey as fileKey.get_design_context output is a structural reference, not a literal source. It approximates the visual. Never transliterate position: absolute / pixel frames / mix-blend-mode stacks into SwiftUI or into Figma — the screenshot is the source of truth in both directions.var(--backgrounds/primary, …), var(--labels/secondary, …), var(--separators/non-opaque, …) etc. map to Color(.systemBackground), Color.secondary, Color(.separator) in SwiftUI, and to variables in a semantic collection in Figma. Keep the mapping; drop the literal RGBA.get_design_context substitutes Figma's SF Symbol glyph runs back into <SFSymbol>{Image(systemName: "...")}</SFSymbol> wrappers in the response. Use those names verbatim. Code → design: call figma.util.getSfSymbolCharacter(name) inside use_figma to convert a symbol name to the matching character — never look up codepoints by hand.NavigationStack chrome; bottom row of icon+label pairs = TabView; repeating same-height rows with leading/trailing chrome = List. Match those system patterns rather than rebuilding them from primitives.use_figma is the API. Always load figma-use before any use_figma call. If the task involves building a full screen, also load figma-generate-design; if it involves building components or a design system, also load figma-generate-library.| Doc | When to load |
|---|---|
| references/design-to-code.md | Translating a Figma design / frame into SwiftUI |
| references/code-to-design.md | Pushing SwiftUI views / screens / tokens into Figma |
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/figma-swiftui and restart Codex after major changes.Preferred MCP Server: Figma MCP Server
figma-swiftui outside its documented task boundary.Before claiming the figma-swiftui workflow succeeded:
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概要と使いどころ
AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
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。
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
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。
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.
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。
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
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。
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
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。
Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
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。