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Inspiration / Case Figure Guide

面向研究论文的启发/案例类图示引导 Skill:按 S0–P9 多轮流程完成材料收集、子类型路由、文本候选、视觉候选板设置、候选评审、正式图提示与图注交接;强制文/图分离,样图可选,候选图经 ChatGPT 或 Codex 图像生成能力渲染,不臆造数据。

c-narcissus
c-narcissus
热度 46.48
最近更新 2026-05-11 17:45:41
分类:创作依赖:第三方 API / 内部调用大模型应用场景:图像生成 / 故事创作 / 研究 / 模板 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add inspiration-case-figure-guide
Metadata
name
inspiration-case-figure-guide
license
MIT-0
description
Use when the user wants to design, prompt, generate, critique, or integrate publication-ready research-paper inspiration figures: motivating examples, problem-teaser figures, failure cases, before/after contrast panels, observation-to-method case stories, reviewer-facing limitation cases, and introduction figures that explain why a paper is needed. Generated from research-paper-figure-skill-factory v1.0.1 with full-feasible local PDF evidence, startup-plan-only first replies, strict text/image separation, mandatory text-candidate to visual-candidate setup to IMAGE_ONLY candidate-board to candidate-review workflow, optional sample images, ChatGPT web Create image / ChatGPT Images 2.0, Codex $imagegen first, all-step/current-position state footers, and next-question help in every text reply.
metadata
{"display_name":"Inspiration Case Figure Guide","version":"3.0.0","author":"OpenAI","tags":["research-figure","inspiration-figure","motivating-example","case-walkthrough","failure-case","intro-figure","candidate-image-bridge","imagegen","chatgpt-images-2","clawhub","openclaw"],"compatibility":"Codex, ChatGPT web, OpenClaw, ClawHub marketplace. Requires image-generation capability for rendering.","openclaw":{"skillKey":"inspiration-case-figure-guide"}}

Inspiration Case Figure Guide

This skill designs publication-ready raster figures that make a paper's inspiration legible. Use it for introduction or analysis figures that show the motivating case, surprising observation, failure example, before/after contrast, limitation boundary, or concrete scenario that explains why the paper exists.

It was generated with research-paper-figure-skill-factory v1.0.1 from the project-local full-feasible diagram corpus: 7,631 local PDF records processed, 0 skipped, 146,071 figure captions extracted, 119,534 diagram-relevant captions, and 93,088 multi-label figure records. The inspiration/case evidence subset contains 48,536 keyword-and-label matched records across 7,021 papers, including 2,958 papers where the relevant signal appears in the first figure. Representative rendered pages are audit aids only, not the corpus size.

Non-Negotiable Contract

First Trigger

On the first reply in a new project, output only a startup plan. Do not analyze the paper, draft prompts, create captions, or generate images. The first reply is STARTUP_PLAN_ONLY (TEXT_ONLY) and must ask the user to confirm or provide material for P1.

If the first user message asks to "直接出图", "生成 6 张图", "出候选图", "generate images", or otherwise asks for image generation, record the request as pending only. The first reply must not call $imagegen, Create image, an image API, or include image markdown/artifacts.

Mandatory Candidate-Image Bridge

After any multi-option text decision, do not move directly to final prompt, final image generation, caption, or text-only direction lock. Use this mandatory bridge:

  1. TEXT_ONLY text-candidate turn: present 4-6 text candidates, normally 6.
  2. TEXT_ONLY visual candidate-board setup: define candidate count, varied axis, fixed elements, rendering route, and comparison criteria.
  3. IMAGE_ONLY candidate-board generation: generate/display 4-6 candidate images or schematic candidates, normally 6.
  4. TEXT_ONLY candidate review: record the image batch, compare candidates, recommend one direction, and ask the user to select, revise, combine, or request another board.

This bridge is mandatory after candidate schemes, subtype choices, layout choices, style choices, metaphor choices, density choices, and prompt alternatives. Skip it only if the user explicitly says to stay text-only or skip image candidates, then record visual_candidate_board_skipped_by_user: true.

Strict Text/Image Separation

Every assistant response is exactly one mode:

  • TEXT_ONLY: planning, intake, diagnosis, candidate text, candidate-board setup, prompt writing, critique, state update, and confirmation request.
  • IMAGE_ONLY: image generation only. No prose, caption, prompt text, critique, or state footer.

If a reply emits visible text, do not generate images in the same response. If generation is ready, ask for confirmation and stop. If the user has confirmed generation and state is sufficient, the next assistant reply may be IMAGE_ONLY only.

Rendering Route

For candidate boards, drafts, final diagrams, and revisions:

  1. In ChatGPT web, use Create image through ChatGPT Images 2.0.
  2. In Codex, use the $imagegen skill first.
  3. If $imagegen is unavailable in Codex, use ChatGPT Images 2.0 API or another approved image-generation API.
  4. Native bitmap outputs such as PNG, JPG, JPEG, or WebP are allowed.
  5. Do not use SVG, Mermaid, TikZ, Graphviz, HTML/CSS, canvas, matplotlib, filesystem code drawing, or code-rendered/exported images as candidate, draft, final, or fallback visuals.

Every Text Reply

Every TEXT_ONLY reply must include these sections in order:

  1. 当前执行计划
  2. The substantive work for the current step
  3. 默认推荐
  4. 当前状态与产物
  5. 下一步你可以这样问

The state footer must include 全部步骤与当前位置, current response mode, current-turn outputs, cumulative outputs, pending outputs, candidate-board state, and the previous IMAGE_ONLY batch recording status.

The first copyable prompt must begin:

请使用**inspiration-case-figure-guide**,执行,根据当前状态,下一步执行:...

Always include this fallback prompt:

请使用**inspiration-case-figure-guide**,根据当前状态,提供下一步提问建议。

Normal follow-up turns continue from the active session/history. Ask for the latest 当前状态与产物 only if history is unavailable, truncated, or moved to another conversation.

Required Workflow

Step Reply Type Goal Output
S0 STARTUP_PLAN_ONLY (TEXT_ONLY) Startup confirmation only Startup plan
P1 TEXT_ONLY Intake target-paper material, target slot, inspiration source, constraints, and optional sample images Material status
P2 TEXT_ONLY Diagnose inspiration need and multi-label subtype routing Subtype candidates + default route
P3 TEXT_ONLY Define reader effect and produce 4-6 text candidate schemes, normally 6 Text candidates + required visual-candidate next action
P4 TEXT_ONLY Set up visual candidate board: count, varied axis, fixed content, route, and comparison criteria Candidate-board brief
P5 IMAGE_ONLY Generate/display 4-6 candidate images or schematic candidates, normally 6 Candidate images only
P6 TEXT_ONLY Record the candidate image batch, compare candidates, recommend one, and lock or revise direction Selected/revised visual direction
P7 TEXT_ONLY Build final content architecture and formal image brief/prompt for the selected direction Final image brief
P8 IMAGE_ONLY Generate formal figure candidate or revision batch through the approved image route Formal image candidates only
P9 TEXT_ONLY Review, refine, caption, legend, body insertion, and handoff text Final paper text package

P4/P5/P6 are not optional after P3 when multiple text options were presented. They are the visual selection bridge.

Inspiration/Case Routing

Record all applicable labels before locking a primary production subtype. A single figure may be both a motivating example, mechanism spark, failure case, and evidence board.

Primary subtypes:

  • problem_teaser: a first-viewport problem hook that makes the research gap concrete.
  • motivating_case_walkthrough: one example moves through input, observation, failure, insight, and method need.
  • failure_to_need: a failure or limitation case that motivates the paper's intervention.
  • before_after_contrast: old behavior vs desired behavior or baseline vs proposed direction.
  • observation_to_hypothesis: empirical or qualitative observation becomes a design principle.
  • scenario_storyboard: user, system, environment, or task scenario that exposes the unresolved problem.
  • evidence_to_inspiration_board: compact evidence tiles supporting why the idea is needed.
  • taxonomy_hook: a small design-space or category map that reveals the missing region.
  • mechanism_spark: an intuition diagram showing why a core mechanism should work.
  • reviewer_concern_case: a rebuttal-facing example that clarifies a boundary, risk, or misconception.

Choose one primary subtype for the current rendering, but keep secondary labels as constraints on layout, arrows, callouts, and density.

Candidate Defaults

  • Text candidates: 4-6, normally 6.
  • Candidate-board images: 4-6, normally 6.
  • Formal image candidates: 4-6, normally 6 unless a selected direction needs fewer variants.
  • If the user says only "继续", "出图", "生成", or "generate" after a text-candidate or board-setup turn, default to 6 candidate images.
  • Generate one image only when the user explicitly asks for one.
  • If a text reply presents multiple schemes, layouts, styles, metaphors, densities, or prompt options, the first recommended next prompt must ask to generate/display multiple candidate images or schematic candidates, normally 6.

Sample / Reference Images

Sample images are optional. Ask whether the user wants to provide one or more sample/reference images before rendering. For each image, record the preferred transfer attributes:

  • style
  • layout
  • panel rhythm
  • information density
  • content-detail level
  • label style and label placement
  • color semantics
  • callout grammar
  • negative reference constraints

Do not copy sample-image content, claims, data, identities, or proprietary marks unless the user explicitly owns or authorizes that content. Use samples as controllable visual references only.

State Fields

Preserve these fields in every text reply:

  • current mode and current step
  • all workflow steps and current position
  • material status
  • paper thesis / figure thesis
  • inspiration source: case, observation, failure, contrast, scenario, or intuition
  • subtype labels and primary production subtype
  • reader-effect contract
  • exact case evidence, labels, constraints, and forbidden invented content
  • sample/reference image transfer map
  • text candidate count and candidate IDs
  • visual candidate-board status
  • visual board type, varied axis, fixed elements, candidate count
  • candidate image batch ID
  • visual candidate history and selected visual candidate
  • final image brief status
  • rendering route
  • current-turn outputs, cumulative outputs, pending outputs
  • whether the previous IMAGE_ONLY output has been recorded
  • next recommended action

If history is incomplete, do not invent missing state. Ask the user to provide the latest 当前状态与产物 or the missing material.

Evidence Guardrails

  • Do not invent examples, metrics, user studies, failure rates, model outputs, or benchmark outcomes.
  • If the target paper has no concrete motivating case, ask for the intended inspiration claim or create a text-only gap analysis before proposing visuals.
  • Keep the inspiration figure anchored to one reader question: "Why is this paper needed?"
  • The figure may be visually memorable, but the paper's claim must remain inspectable and defensible.
  • For final prompts, include exact labels and forbid long paragraphs, fake charts, fake screenshots, logos, watermarks, and decorative clutter.

References

Use these package references as needed:

  • references/workflow-and-state-contract.md
  • references/visual-style-and-board-protocol.md
  • references/prompt-generation-policy.md
  • references/figure-class-taxonomy.md
  • references/figure-pattern-library.md
  • references/review-rubric.md
  • references/source-corpus-notes.md
  • references/evidence-map-index.md
  • references/evidence-lineage-summary.md
  • references/builder-time-acquisition-report.md
  • references/initial-corpus-manifest.md
  • templates/state-footer-template.md
  • templates/figure-brief-template.md
  • templates/prompt-template.md
  • templates/user-input-bundle.md