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。
MANDATORY prerequisite — load this skill BEFORE every `generate_diagram` tool call. NEVER call `generate_diagram` directly without loading this skill first. Trigger whenever the user asks to create, generate, draw, render, sketch, or build a diagram — flowchart, architecture diagram, sequence diagram, ERD or entity-relationship diagram, state diagram or state machine, gantt chart, or timeline. Also trigger when the user mentions Mermaid syntax or wants a system architecture, decision tree, dependency graph, API call flow, auth handshake, schema, or pipeline visualized in FigJam. Routes to type-specific guidance, sets universal Mermaid constraints, and tells you when to use a different diagram type or skip the tool entirely (mindmaps, pie charts, class diagrams, etc.).
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。
You MUST load this skill before every generate_diagram tool call. Skipping it causes preventable rendering failures and low-quality output.
generate_diagram takes Mermaid.js syntax and produces an editable FigJam diagram. This skill routes you to the right per-type guidance and sets universal constraints.
generate_diagram the right tool?flowchart, sequenceDiagram, stateDiagram / stateDiagram-v2, gantt, erDiagram.
If the user wants any of these, tell them directly that generate_diagram doesn't support it instead of calling the tool and failing:
The tool cannot:
If the user asks for any of those on an existing diagram, recommend they open the diagram in Figma and edit there. For content-level changes, it's usually faster to regenerate.
Lightweight routing — use the first match.
| User wants… | Type | Next step |
|---|---|---|
| Services + datastores + queues + integrations | Architecture flowchart | Read references/architecture.md |
| Decision tree, process flow, pipeline, dependency graph, user journey | Flowchart | Read references/flowchart.md |
| Interactions between parties over time (API calls, auth, messaging) | Sequence diagram | Read references/sequence.md |
| Data model, tables, keys, cardinality | ER diagram | Read references/erd.md |
| Named states with transitions between them | State diagram | Read references/state.md |
| Project schedule with dates, milestones | Gantt chart | Read references/gantt.md |
If a flowchart is requested and it describes software infrastructure (services, datastores, queues, external integrations), route to architecture.md — not flowchart.md. When in doubt, ask the user.
\n in labels. Use newlines only when absolutely required and only via actual line breaks (not the escape sequence).end, subgraph, graph as node IDs.userService), no spaces. Underscores can break edge routing in some processors.A["Process (main)"], -->|"O(1) lookup"|.Note over X / Note left of X / Note right of X are silently stripped by the renderer; don't put them in the source. If the user wants annotations on a sequence diagram, generate the base diagram first and add stickies/text via the hybrid workflow (references/workflow.md).classDef, class, and any other styling are stripped by preprocessing; the rendered chart will not have colors. If the user wants color-coded phases, milestones, or tasks, generate the base chart first and add color/annotations via the hybrid workflow (references/workflow.md) — or, for diagrams that fundamentally need styling, build the timeline directly with use_figma instead (see references/gantt.md §11).use_figma extension. generate_diagram output lands in a FigJam file (figma.com/board/...), so hybrid extensions must stick to FigJam-supported APIs. Do NOT call figma.createPage() — it's Design-only (figma.com/design/...) and throws TypeError: figma.createPage no such property 'createPage' on the figma global object in FigJam. Organize content with FigJam sections instead (see figma-use-figjam).The quality of the generated diagram is bounded by the quality of the Mermaid you produce, which is bounded by the context you have. Before writing Mermaid, make sure you have enough real information to describe the subject accurately — and use whatever the current environment gives you to gather it.
Depending on what's available, useful sources of context include:
get_figjam or get_design_context (see the figma-use and figma-use-figjam skills).Don't invent edges, labels, or entities to "round out" a diagram. Missing information is better than hallucinated information — leave a gap and flag it to the user.
Mermaid can't do everything. Sticky-note annotations tied to specific nodes, per-node domain coloring on ERDs, callouts with attached data — these all require composing generate_diagram with use_figma (via the figma-use-figjam skill). This is the hybrid workflow.
It's a judgment call, not a default. Deploy it when the user's ask clearly benefits — skip it when the base diagram is obviously enough. Signals that say yes: user explicitly asked for notes, colors, callouts, or "X attached to each node"; they shared data that maps to specific nodes; the diagram is a shareable artifact, not a thinking sketch. Signals that say no: short/self-explanatory request, small diagram, user exploring or testing.
If hybrid is warranted, read references/workflow.md before calling generate_diagram — it covers the pattern, two core recipes (annotations + color-coding), communication style, and failure handling. If not, proceed directly to Step 6.
Required:
name: a descriptive title (shown to the user)mermaidSyntax: the Mermaid sourceOptional:
userIntent: a short sentence describing what the user is trying to accomplish — helps telemetry and downstream tuninguseArchitectureLayoutCode: only for architecture diagrams; value is specified in references/architecture.mdfileKey: if the user wants the diagram added to an existing FigJam file instead of a new oneDo not call create_new_file before generate_diagram — the tool creates its own file.
use_figma now — the pattern and recipes are in references/workflow.md.Every call to generate_diagram without a fileKey creates a new FigJam file in the user's drafts. Regenerating 4 times = 4 draft files to clean up. Prefer reusing the existing file when:
How to reuse:
fileKey on subsequent generate_diagram calls. Extract from a figma.com/board/{fileKey}/... URL. The diagram is added to the existing file rather than creating a new one.use_figma tool (see the figma-use-figjam skill) to delete the old diagram's nodes first, then call generate_diagram with the same fileKey. Or leave the old diagram and place the new one beside it — readers often benefit from seeing the history of attempts.Ask the user which they prefer the first time you iterate — "regenerate over the old one, or keep both side-by-side?" — and remember their answer for subsequent iterations in the session.
<!-- MCP:START --> <!-- PORTABILITY:START -->This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/figma-generate-diagram and restart Codex after major changes.Preferred MCP Server: Figma MCP Server
figma-generate-diagram outside its documented task boundary.Before claiming the figma-generate-diagram 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。