Metadata

name: ai-draw-cue-word-project
slug: ai-draw-cue-word-project
displayName: 绘画构图专家-提示词工程
description: Build high-consistency AI character prompts across five model syntax families (natural-language / conversational / MJ-Niji / SD / domestic API) and multi-format outputs (image / storyboard / comic panel / video / 3D) using a weight & ratio precision-control workbench. Ships character-anchor sheets, composition & shots references, posture-emotion mapping, reference-image capability matrix, multi-character spatial relations, storyboard/panel layout rules, speech-bubble positioning, LoRA management, temporal-consistency checklist, 3D generation matrix, video prompt template, conversational edit chain, negative-word bank, and a P0/P1/P2 validation checklist. All example characters in this skill are adult (18+) women; no minors allowed.
version: 2.9.0
metadata: {"openclaw":{"requires":{},"homepage":"https://github.com/nohn3043-arch/ai-draw-cue-word-project"}}

AI Drawing Composition Template (ai-draw-cue-word-project)

A quality-control workbench for generating character prompts that stay consistent across models and across a series of images. The setting layer (anchors, composition, validation) is model-agnostic; the syntax layer is adapted per model family.

Safety & Content Policy (read before use)

No sexualization of minors. Never generate, refine, or optimize imagery that sexualizes, eroticizes, or exploits anyone depicted as a minor or under 18. This applies to every model family and every syntax flow in this skill.
Adult characters by default. All example characters in this skill (including Nanwang and Song Jiuning) are depicted as adult women (18+). Do not reintroduce minor ages ("16-year-old", "teen girl", "loli", "少女", "未成年") into anchors, prompts, or logs.
No mixing of age stages. A character version is either adult-only or absent; never use cross-stage head-to-body ratios, childlike features, school uniforms, or any other visual cues historically associated with minors in adult-character anchors.
Per-version adult declaration. Every new row added to CharacterAnchors.csv / FeatureDetails.csv / NaturalLanguagePromptTemplate.csv must include an "Adult (18+)" cell. Prompts missing this cell are invalid and must be regenerated.
User responsibility. You are solely responsible for ensuring generated content complies with applicable laws and platform policies in your jurisdiction. This skill is a prompt-engineering workbench, not legal or safety clearance.
Fictional / non-sexual character design only. The workbench is intended for fictional, non-sexual character-concept and illustration work. If you are unsure whether a request is appropriate, do not generate it.

v2.9.0 safety-patch changelog (2026-09-01)

Hardened Safety & Content Policy: added No mixing of age stages and Per-version adult declaration rules.
All example characters explicitly declared as adult (18+) women.
Old SKILL.md.bak-20260829 soft-deleted to .workbuddy/.trash/2026-09-01/.

When to use

Use this skill when the user needs to generate or refine an AI image prompt for a character — especially when consistency across multiple images or across different models matters (illustrations, storyboards, character cards, series).

Workflow (run through once per generation)

Character anchors — read references/CharacterAnchors.csv. Pick or create an image version row: identity anchor (≥1.6), temperament tag (≥1.3), palette, signature props, negative anchoring.
Composition & shots — read references/CompositionAndShots.csv. Fill the Section A config (aspect ratio, composition type, camera angle, shot scale, focal length, lighting, layers, occlusion). Choose composition type from the Composition Type Reference table in references/NOTES.md (Section B). Look up posture by temperament in the Posture-Emotion Mapping table (references/NOTES.md Section D) — never free-hand it.
Model & reference strategy — read references/ReferenceImageCapabilityMatrix.csv to pick the model's consistency method (--cref, LoRA, native reference, or verbatim anchor reuse for DALL-E 3). For series work, follow the reference-first workflow in references/ReferenceFirstWorkflow.md (P0).
Assemble the prompt — read references/NaturalLanguagePromptTemplate.csv for the syntax of the target family (see the five rows below).
Validate — run the P0/P1/P2 checks in references/Checklist.csv. Any P0 failure (identity anchor, core features, anchor-description reuse, negative coverage) means regenerate.
Batch production — for series / production runs, follow the pipeline in references/ProductionPipeline.md (P0): 12-image pre-flight, drift labels, retry rules, versioned reference pack.

Five syntax families

Family	Key rules
Natural language (Flux / DALL-E 3 / SD3)	Full English paragraph: scene+shot → anchors → posture → lighting → background. No weight brackets, no plus signs. Anchor sentences first, verbatim across images.
Conversational (GPT-4o / Gemini 2.5 Flash Image)	Complete description in round 1, then single-point fixes in conversation. Never change anchor sentences. First image acts as the native reference.
MJ / Niji	Core anchors in the first 20 tokens; CLI params appended at the end (`--ar`, `--cref`, `--cw`, `--s`, `--niji`). `--no` filters only 4-6 highest-risk words.
Stable Diffusion 1.5 / XL / SD3	Comma-separated tags: identity anchors (1.5+) → core features (1.3-1.5) → posture/composition → lighting (0.7-0.9). Use `(tag:weight)`. Separate Negative Prompt box.
Domestic API (Jimeng / Kling / Doubao / Tongyi Wanxiang)	Chinese natural-language paragraph + API params (aspect_ratio / size). Negative-word and reference-image support vary per vendor — follow official docs.

Weight semantics (SD/MJ numeric baseline)

Weight	Meaning
1.6-2.0	Hard anchor — absolutely immutable, force-kept in every scene
1.3-1.5	Core feature — kept in all scenes, validated as P0
1.0-1.2	Baseline — default strength, fluctuate ≤0.2
0.7-0.9	Atmosphere — adjustable per scene
<0.7	Weak prompt — atmosphere only, never carries key info

v2.6–v2.8 multi-format outputs (image / storyboard / comic panel / video / 3D)

Beyond single-image generation, v2.6–v2.8 adds sheets for serialized and cross-modal work:

Output	Key sheet	Rules
Multi-character scenes	`references/MultiCharacterSpatialRelations.csv`	Subject size hierarchy, occlusion, gaze direction, relative positioning anchors
Comic panels / pages	`references/PanelLayoutRules.csv`, `references/SpeechBubblePositioning.csv`	Panel grid baselines (4-panel / 6-panel / cinematic strip / splash / vertical scroll), bubble placement by speech type (7 types)
Storyboard sequences	`references/StoryboardSkeletonTemplate.csv`, `references/TemporalConsistencyChecklist.csv`	Shot-to-shot continuity: 10 panel roles, 3 camera rules, 4 page layouts; 14 temporal checks across 6 categories
Conversational iterative editing (GPT-4o / Gemini)	`references/ConversationalEditChain.csv`	Single-point edits only, anchor sentences frozen, edit log structure
LoRA management	`references/LoRAManagement.csv`	Trigger tokens, weight baselines, version pins, conflict detection
Video generation	`references/VideoGenerationPromptTemplate.csv`	Motion verbs, camera trajectory, duration baselines per model family
3D generation	`references/ThreeDGenerationMatrix.csv`	Model-specific syntax for 3D asset outputs (Turntable / orthographic / mesh)

v2.7 comic-mode edition

Added PanelLayoutRules (5 layout types), SpeechBubblePositioning (7 bubble types), and TemporalConsistencyChecklist (14 check items across 6 categories). Total sheet count 18→21.

v2.8 comic-workflow closure

Interactive workbench deployed with bilingual (zh/en) comic mode workflow: storyboard skeleton → panel layout → speech bubble positioning → temporal consistency check. All 21 CSV sheets verified against deployed index.html data.

Cross-model red lines

(word:1.3) works only on SD; MJ uses token position; natural-language models forbid bracket weights.
MJ --no ≤ 4-6 short words; SD has a Negative Prompt box; natural-language and domestic API models rely on affirmative writing first, negation as fallback.
Anchor sentences must be reused verbatim — synonym rewriting breaks consistency.
DALL-E 3 is deprecated (v2.5): no reference-image support; for series or consistency-critical scenes, route to a conversational model (GPT-4o / Gemini) instead of compensating with description only.
Reference-first (v2.5): for any multi-image series, prepare a reference pack and follow references/ReferenceFirstWorkflow.md; text anchors are the second layer of defense, never the first.

Files

references/*.csv — the 21 workbench sheets (flat tables):
- Core (v2.5 baseline): CharacterAnchors, CompositionAndShots, AspectRatioBaselines, FeatureDetails, ModelsAndReferences, ReferenceImageCapabilityMatrix, NaturalLanguagePromptTemplate, NegativeWordBank, Checklist (P0/P1/P2), Usage, ChangeLog, GenerationIterationLog
- Multi-format (v2.6): ConversationalEditChain, LoRAManagement, MultiCharacterSpatialRelations, PanelLayoutRules, SpeechBubblePositioning, StoryboardSkeletonTemplate, TemporalConsistencyChecklist, ThreeDGenerationMatrix, VideoGenerationPromptTemplate
references/NOTES.md — supplementary tables & rules (composition types B, two-character interaction C, posture-emotion mapping D, weight semantics, narrative-intensity mapping, parameter interaction rules, strength ranking)
references/ReferenceFirstWorkflow.md — P0 reference-first workflow (v2.5): decision rule, reference-pack quality gates, per-model methods, two-layer defense
references/ProductionPipeline.md — P0 production pipeline (v2.5): 12-image pre-flight, drift labels, retry rules, versioned reference pack
examples/nanwang_spring_garden_prompt.md — finished prompts in four syntax flows for the example character Nanwang

Source

Version-controlled at github.com/nohn3043-arch/ai-draw-cue-word-project (also SourceForge p/ai-draw-cue-word-project and Gitee nohn-ecosystem/aidraw). Apache-2.0. Copyright (c) 2026 NOHN AI TECHNOLOGY PTE LTD.

ai-draw-cue-word-project

安装技能