Expert blueprint for visual novels (Doki Doki Literature Club, Phoenix Wright, Steins;Gate) focusing on branching narratives, dialogue systems, choice consequences, rollback mechanics, and persistent flags. Use when building story-driven, choice-based, or dating sim games. Keywords visual novel, dialogue system, branching narrative, typewriter effect, rollback, bbcode, RichTextLabel.
npx skills add https://github.com/thedivergentai/GD-Agentic-Skills --skill godot-genre-visual-novel
Branching narratives, meaningful choices, and quality-of-life features define visual novels.
[shake], [wave]) to add visual weight.ResourceLoader.load_threaded_request() to prevent transition stutters.StringName (&"met_alice") for faster dictionary lookups._process for letter-by-letter animation; strictly use a Tween on visible_ratio for smooth, frame-independent reveals.z_index for Control node priority if input handling is required; strictly use move_to_front() to ensure draw order and input propagation match.visible_ratio to 1.0 instantly on input.queue_free() when actors exit the stage to prevent memory leaks.ImageUnit API — width_in_percent removed in 4.7.> MANDATORY before implementing undo / branching / presentation:
> 1. vn_rollback_manager.gd — history stack (flags/backgrounds/index)
> 2. story_manager.gd — flag-aware dialog orchestration
> 3. dialogue_ui.gd — typewriter + choice UI
> 4. visual_novel_patterns.gd — BBCode, choice filtering, sprite layering
visible_ratio) and choice-window generation.| Approach | When to choose | Notes |
|----------|----------------|-------|
| JSON / CSV scripts | Writers edit outside Godot; rapid iteration | Load via FileAccess or threaded ResourceLoader; validate schema in StoryManager |
| Custom Resource dialogue trees | Designer Inspector editing, typed fields | Peer godot-resource-data-patterns; MANDATORY story_manager.gd |
| Dialogic (plugin) | Full VN suite (timelines, characters, themes) with editor tooling | Prefer when shipping a large route graph fast; still keep rollback + flag discipline. Skip building a second StoryManager if Dialogic already owns timelines |
| Build lightweight custom | Tiny kinetic novel / learning project | Use scripts in this skill; do not re-stub StoryManager inline |
Do not paste incomplete JSON StoryManager demos — implement from MANDATORY story_manager.gd.
{line_index, flags, background, music} *before* flag writes.visible_ratio 0→1; on skip/advance input set visible_ratio = 1.0 and kill the tween.requires StringName flags pass; apply choice → mutate flags → jump label (visual_novel_patterns.gd + story_manager.gd).move_to_front() on Control actors (not z_index alone) + dim inactive.ResourceLoader.load_threaded_request for backgrounds; never sync-parse huge scripts on the main thread.# Choice handler shape (flags after snapshot)
func make_choice(choice_id: StringName) -> void:
rollback_manager.push_snapshot() # BEFORE mutate
match choice_id:
&"be_nice":
flags[&"relationship_alice"] = int(flags.get(&"relationship_alice", 0)) + 1
story_manager.jump_to_label(&"alice_happy")
&"be_mean":
flags[&"relationship_alice"] = int(flags.get(&"relationship_alice", 0)) - 1
story_manager.jump_to_label(&"alice_sad")
| Topic | Reference / script |
|-------|-------------------|
| Story driver & typewriter UI | architecture-overview.md |
| Branching / rollback / focus | key-mechanics.md |
| RichText / async loads | godot-tips.md |
> Progressive disclosure: open Official Documentation links only when researching a specific API; load Related Skills when routing to a peer domain — do not preload the whole lattice.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Research your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".
Comprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product research questions.
Master the consultative sales methodology trusted by enterprise sales teams worldwide. Use Neil Rackham's research-backed question sequence to uncover needs and close complex deals. Use when: **Complex B2B sales** with long sales cycles; **High-value deals** requiring multiple stakeholders; **Solution selling** where discovery is critical; **Enterprise sales** with sophisticated buyers; **Consultative positioning** to differentiate from competitors
Complete product launch workflow coordinating 15+ specialist agents across research, development, marketing, sales, and operations. Uses sequential and parallel orchestration for 10-week launch timeline.
Content research and SEO writing methodology. Guides the agent through topic research, keyword identification, competitive analysis, and writing SEO-optimized content that ranks well and provides genuine value to readers.
Generate sandbox security policies from plain-language requirements and optional REST API documentation. Produces L4 or fine-grained L7 network policies and ordered network middleware configuration. Use for API access rules, middleware host selection, failure behavior, or built-in and operator-run middleware attachment. Trigger keywords - generate policy, create policy, update policy, change policy, sandbox policy, network policy, API policy, security policy, allow API, restrict API, network middleware, supervisor middleware.
Research a company, industry, or competitor set using web search and seven analytical lenses. Use when you need structured intel that feeds downstream PM skills.
Take thedivergentai/godot-genre-visual-novel from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.