Creator · scottstts
Last updated · Sep 5, 2026
Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets
Creator · scottstts
Last updated · Sep 5, 2026
Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets
Creator · scottstts
Last updated · Sep 5, 2026
Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets
Creator · scottstts
Last updated · Sep 5, 2026
Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets
Review then install
Install targets
Codex install prompt
Install the "threejs-procedural-vegetation" agent skill from https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-procedural-vegetation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"scottstts-threejs-procedural-vegetation","task":"Install threejs-procedural-vegetation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Maintenance
fresh
9d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
782
76/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
782 GitHub stars
Repo activity
782 stars, 87 forks
Maintenance
9d since push
License
MIT
Install
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scottstts-threejs-procedural-vegetation/install
Agent should check
Copy prompt
Task: Use threejs-procedural-vegetation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install
Install command: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/scottstts-threejs-procedural-vegetation/install
LLM text format
/api/skills/scottstts-threejs-procedural-vegetation/install?format=text
Find alternatives
/api/skills/search?q=threejs-procedural-vegetation&limit=3
Agent prompt
Use threejs-procedural-vegetation for this task. Review https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install, then install with: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/scottstts-threejs-procedural-vegetation
LLM text
/api/registry/manifest/scottstts-threejs-procedural-vegetation?format=text
Install alias
/api/registry/install/scottstts-threejs-procedural-vegetation
Recommend
/api/registry/recommend?task=Use%20threejs-procedural-vegetation%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO782 GitHub stars
Stars/forks activity
INFO782 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: threejs-procedural-vegetation description: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. ---
# Procedural Vegetation
Represent a plant as a growth hierarchy plus rendering adaptations. Do not model it as randomly scattered cylinders.
This skill contains exemplary examples and assets beyond descriptive guidance, they're worth studying, referencing, or even copying. Use them sufficiently when relevant and do NOT blindly skip them.
## Build sequence
1. Define a per-level species table: length, radius, taper, child count, emergence range, angle, twist, gnarliness, sections, radial segments. 2. Grow branches iteratively from a queue so recursion depth and budgets remain inspectable. 3. Emit each branch as oriented rings with an intentional UV seam. 4. Update section orientation from: - inherited direction; - stochastic curvature; - tropism or external force; - optional attraction constraints. 5. Spawn children with stratified longitudinal slots and independently permuted angular slots. 6. Generate leaves only after branch topology is stable. 7. Build foliage normals from both card orientation and local crown volume. 8. Choose wind scope explicitly. Leaf-root deformation, branch hierarchy deformation, and whole-tree sway are separate systems.
Read [references/structured-ash-growth-system.md](references/structured-ash-growth-system.md) and preserve its preset, continuation, child-placement, leaf, material, wind, and composition contracts before tuning.
Read the [Ash Growth System implementation](examples/structured-ash-growth/tree-system.js) with its [authored preset](examples/structured-ash-growth/ash-preset.js) for a contract-accurate implementation and its diagnostic attributes.
Read the [stylized meadow grass implementation](examples/stylized-meadow-grass/grass-system.js) for authored blade-cluster geometry with a procedural fallback, image-driven path masking, per-instance origin/facing attributes, circular-arc rooted wind, gust fronts, tip flutter, color clumps, macro variation, translucency, and rim diagnostics.
Read the [GPU-computed grass implementation](examples/gpu-computed-grass/gpu-grass-system.js) for MRT blade-parameter generation, deterministic terrain-conforming placement, Voronoi clumps, Bezier blade folding, wind-facing yaw, distance LOD/culling, normal/color fading, translucency, and field diagnostics.
Read [references/gpu-culled-flower-field.md](references/gpu-culled-flower-field.md) for the exact virtual-address, ecology, hierarchical-compaction, indirect-draw, distance-tier, atlas, wind, contact, resource, and diagnostic contracts.
Read the [GPU-culled flower-field entry](examples/gpu-culled-flower-field/gpu-culled-flower-field.js) and its complete [raw WebGPU implementation](examples/gpu-culled-flower-field/source/gpu-culled-flower-field.ts) for zero-record integer candidate reconstruction, 32 by 32 tile culling, three visible-ID streams, indirect near/middle/far draws, curved textured petals, identity-preserving horizon heads, and rooted moving-contact response.
Read the [procedural surface ivy entry](examples/procedural-surface-ivy/ivy-effect.js) and its complete [TypeScript implementation](examples/procedural-surface-ivy/source/ivy.ts) for seeded spline-following stems, repeated mesh reprojection, tangent-plane creep and droop, parallel-transport tube rings, growth reveal, instanced leaves and umbels, and rigid petiole-hinge wind. Treat the TypeScript modules as the only implementation; the entry file only re-exports them.
## Visual failure conditions
- branches form visible helices; - dense grass ignores terrain height or clump-level variation; - every child emerges at the same relative height; - bark texture scale changes with branch radius; - leaves reveal flat card normals under rotation; - leaf wind moves card roots instead of remaining anchored; - branch wind is claimed to match a reference whose branches are static; - different seeds change species identity rather than controlled variation; - geometry cost grows without a per-level budget; - surface-following stems are offset from the host or flip normals across seams; - ivy branches ignore the tangent plane while attached; - leaf wind rotates around the card center instead of the petiole. - a million-flower field allocates CPU transforms or per-candidate records; - distant flower LOD replaces species identity with one generic sprite; - compaction and direct rendering reconstruct different roots or acceptance; - flower heads stay world-up after their stems bend.
## Routing boundary
Use `$threejs-procedural-geometry` for generic branch-ring emission without a growth model. This skill owns species tables, vine and branch topology, surface-following growth, foliage, grass fields, roots, and rooted wind.
Source provenance
Decision snapshot
782 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for threejs-procedural-vegetation, ready for a manual X post.
threejs-procedural-vegetation: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw We... 782 stars https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x
Listing + install path for threejs-procedural-vegetation: https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x Install: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-pr...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to scottstts but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation/audit)
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)scottstts
@scottstts
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "threejs-procedural-vegetation" agent skill from https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-procedural-vegetation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"scottstts-threejs-procedural-vegetation","task":"Install threejs-procedural-vegetation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Maintenance
fresh
9d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
782
76/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
782 GitHub stars
Repo activity
782 stars, 87 forks
Maintenance
9d since push
License
MIT
Install
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scottstts-threejs-procedural-vegetation/install
Agent should check
Copy prompt
Task: Use threejs-procedural-vegetation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install
Install command: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/scottstts-threejs-procedural-vegetation/install
LLM text format
/api/skills/scottstts-threejs-procedural-vegetation/install?format=text
Find alternatives
/api/skills/search?q=threejs-procedural-vegetation&limit=3
Agent prompt
Use threejs-procedural-vegetation for this task. Review https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install, then install with: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/scottstts-threejs-procedural-vegetation
LLM text
/api/registry/manifest/scottstts-threejs-procedural-vegetation?format=text
Install alias
/api/registry/install/scottstts-threejs-procedural-vegetation
Recommend
/api/registry/recommend?task=Use%20threejs-procedural-vegetation%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO782 GitHub stars
Stars/forks activity
INFO782 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: threejs-procedural-vegetation description: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. ---
# Procedural Vegetation
Represent a plant as a growth hierarchy plus rendering adaptations. Do not model it as randomly scattered cylinders.
This skill contains exemplary examples and assets beyond descriptive guidance, they're worth studying, referencing, or even copying. Use them sufficiently when relevant and do NOT blindly skip them.
## Build sequence
1. Define a per-level species table: length, radius, taper, child count, emergence range, angle, twist, gnarliness, sections, radial segments. 2. Grow branches iteratively from a queue so recursion depth and budgets remain inspectable. 3. Emit each branch as oriented rings with an intentional UV seam. 4. Update section orientation from: - inherited direction; - stochastic curvature; - tropism or external force; - optional attraction constraints. 5. Spawn children with stratified longitudinal slots and independently permuted angular slots. 6. Generate leaves only after branch topology is stable. 7. Build foliage normals from both card orientation and local crown volume. 8. Choose wind scope explicitly. Leaf-root deformation, branch hierarchy deformation, and whole-tree sway are separate systems.
Read [references/structured-ash-growth-system.md](references/structured-ash-growth-system.md) and preserve its preset, continuation, child-placement, leaf, material, wind, and composition contracts before tuning.
Read the [Ash Growth System implementation](examples/structured-ash-growth/tree-system.js) with its [authored preset](examples/structured-ash-growth/ash-preset.js) for a contract-accurate implementation and its diagnostic attributes.
Read the [stylized meadow grass implementation](examples/stylized-meadow-grass/grass-system.js) for authored blade-cluster geometry with a procedural fallback, image-driven path masking, per-instance origin/facing attributes, circular-arc rooted wind, gust fronts, tip flutter, color clumps, macro variation, translucency, and rim diagnostics.
Read the [GPU-computed grass implementation](examples/gpu-computed-grass/gpu-grass-system.js) for MRT blade-parameter generation, deterministic terrain-conforming placement, Voronoi clumps, Bezier blade folding, wind-facing yaw, distance LOD/culling, normal/color fading, translucency, and field diagnostics.
Read [references/gpu-culled-flower-field.md](references/gpu-culled-flower-field.md) for the exact virtual-address, ecology, hierarchical-compaction, indirect-draw, distance-tier, atlas, wind, contact, resource, and diagnostic contracts.
Read the [GPU-culled flower-field entry](examples/gpu-culled-flower-field/gpu-culled-flower-field.js) and its complete [raw WebGPU implementation](examples/gpu-culled-flower-field/source/gpu-culled-flower-field.ts) for zero-record integer candidate reconstruction, 32 by 32 tile culling, three visible-ID streams, indirect near/middle/far draws, curved textured petals, identity-preserving horizon heads, and rooted moving-contact response.
Read the [procedural surface ivy entry](examples/procedural-surface-ivy/ivy-effect.js) and its complete [TypeScript implementation](examples/procedural-surface-ivy/source/ivy.ts) for seeded spline-following stems, repeated mesh reprojection, tangent-plane creep and droop, parallel-transport tube rings, growth reveal, instanced leaves and umbels, and rigid petiole-hinge wind. Treat the TypeScript modules as the only implementation; the entry file only re-exports them.
## Visual failure conditions
- branches form visible helices; - dense grass ignores terrain height or clump-level variation; - every child emerges at the same relative height; - bark texture scale changes with branch radius; - leaves reveal flat card normals under rotation; - leaf wind moves card roots instead of remaining anchored; - branch wind is claimed to match a reference whose branches are static; - different seeds change species identity rather than controlled variation; - geometry cost grows without a per-level budget; - surface-following stems are offset from the host or flip normals across seams; - ivy branches ignore the tangent plane while attached; - leaf wind rotates around the card center instead of the petiole. - a million-flower field allocates CPU transforms or per-candidate records; - distant flower LOD replaces species identity with one generic sprite; - compaction and direct rendering reconstruct different roots or acceptance; - flower heads stay world-up after their stems bend.
## Routing boundary
Use `$threejs-procedural-geometry` for generic branch-ring emission without a growth model. This skill owns species tables, vine and branch topology, surface-following growth, foliage, grass fields, roots, and rooted wind.
Source provenance
Decision snapshot
782 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for threejs-procedural-vegetation, ready for a manual X post.
threejs-procedural-vegetation: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw We... 782 stars https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x
Listing + install path for threejs-procedural-vegetation: https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x Install: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-pr...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to scottstts but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation/audit)
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)scottstts
@scottstts
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "threejs-procedural-vegetation" agent skill from https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-procedural-vegetation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"scottstts-threejs-procedural-vegetation","task":"Install threejs-procedural-vegetation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Maintenance
fresh
9d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
782
76/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
782 GitHub stars
Repo activity
782 stars, 87 forks
Maintenance
9d since push
License
MIT
Install
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scottstts-threejs-procedural-vegetation/install
Agent should check
Copy prompt
Task: Use threejs-procedural-vegetation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install
Install command: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/scottstts-threejs-procedural-vegetation/install
LLM text format
/api/skills/scottstts-threejs-procedural-vegetation/install?format=text
Find alternatives
/api/skills/search?q=threejs-procedural-vegetation&limit=3
Agent prompt
Use threejs-procedural-vegetation for this task. Review https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install, then install with: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/scottstts-threejs-procedural-vegetation
LLM text
/api/registry/manifest/scottstts-threejs-procedural-vegetation?format=text
Install alias
/api/registry/install/scottstts-threejs-procedural-vegetation
Recommend
/api/registry/recommend?task=Use%20threejs-procedural-vegetation%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO782 GitHub stars
Stars/forks activity
INFO782 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: threejs-procedural-vegetation description: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. ---
# Procedural Vegetation
Represent a plant as a growth hierarchy plus rendering adaptations. Do not model it as randomly scattered cylinders.
This skill contains exemplary examples and assets beyond descriptive guidance, they're worth studying, referencing, or even copying. Use them sufficiently when relevant and do NOT blindly skip them.
## Build sequence
1. Define a per-level species table: length, radius, taper, child count, emergence range, angle, twist, gnarliness, sections, radial segments. 2. Grow branches iteratively from a queue so recursion depth and budgets remain inspectable. 3. Emit each branch as oriented rings with an intentional UV seam. 4. Update section orientation from: - inherited direction; - stochastic curvature; - tropism or external force; - optional attraction constraints. 5. Spawn children with stratified longitudinal slots and independently permuted angular slots. 6. Generate leaves only after branch topology is stable. 7. Build foliage normals from both card orientation and local crown volume. 8. Choose wind scope explicitly. Leaf-root deformation, branch hierarchy deformation, and whole-tree sway are separate systems.
Read [references/structured-ash-growth-system.md](references/structured-ash-growth-system.md) and preserve its preset, continuation, child-placement, leaf, material, wind, and composition contracts before tuning.
Read the [Ash Growth System implementation](examples/structured-ash-growth/tree-system.js) with its [authored preset](examples/structured-ash-growth/ash-preset.js) for a contract-accurate implementation and its diagnostic attributes.
Read the [stylized meadow grass implementation](examples/stylized-meadow-grass/grass-system.js) for authored blade-cluster geometry with a procedural fallback, image-driven path masking, per-instance origin/facing attributes, circular-arc rooted wind, gust fronts, tip flutter, color clumps, macro variation, translucency, and rim diagnostics.
Read the [GPU-computed grass implementation](examples/gpu-computed-grass/gpu-grass-system.js) for MRT blade-parameter generation, deterministic terrain-conforming placement, Voronoi clumps, Bezier blade folding, wind-facing yaw, distance LOD/culling, normal/color fading, translucency, and field diagnostics.
Read [references/gpu-culled-flower-field.md](references/gpu-culled-flower-field.md) for the exact virtual-address, ecology, hierarchical-compaction, indirect-draw, distance-tier, atlas, wind, contact, resource, and diagnostic contracts.
Read the [GPU-culled flower-field entry](examples/gpu-culled-flower-field/gpu-culled-flower-field.js) and its complete [raw WebGPU implementation](examples/gpu-culled-flower-field/source/gpu-culled-flower-field.ts) for zero-record integer candidate reconstruction, 32 by 32 tile culling, three visible-ID streams, indirect near/middle/far draws, curved textured petals, identity-preserving horizon heads, and rooted moving-contact response.
Read the [procedural surface ivy entry](examples/procedural-surface-ivy/ivy-effect.js) and its complete [TypeScript implementation](examples/procedural-surface-ivy/source/ivy.ts) for seeded spline-following stems, repeated mesh reprojection, tangent-plane creep and droop, parallel-transport tube rings, growth reveal, instanced leaves and umbels, and rigid petiole-hinge wind. Treat the TypeScript modules as the only implementation; the entry file only re-exports them.
## Visual failure conditions
- branches form visible helices; - dense grass ignores terrain height or clump-level variation; - every child emerges at the same relative height; - bark texture scale changes with branch radius; - leaves reveal flat card normals under rotation; - leaf wind moves card roots instead of remaining anchored; - branch wind is claimed to match a reference whose branches are static; - different seeds change species identity rather than controlled variation; - geometry cost grows without a per-level budget; - surface-following stems are offset from the host or flip normals across seams; - ivy branches ignore the tangent plane while attached; - leaf wind rotates around the card center instead of the petiole. - a million-flower field allocates CPU transforms or per-candidate records; - distant flower LOD replaces species identity with one generic sprite; - compaction and direct rendering reconstruct different roots or acceptance; - flower heads stay world-up after their stems bend.
## Routing boundary
Use `$threejs-procedural-geometry` for generic branch-ring emission without a growth model. This skill owns species tables, vine and branch topology, surface-following growth, foliage, grass fields, roots, and rooted wind.
Source provenance
Decision snapshot
782 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for threejs-procedural-vegetation, ready for a manual X post.
threejs-procedural-vegetation: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw We... 782 stars https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x
Listing + install path for threejs-procedural-vegetation: https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x Install: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-pr...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to scottstts but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation/audit)
[](https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)scottstts
@scottstts
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsReview then install
Install targets
Codex install prompt
Install the "threejs-procedural-vegetation" agent skill from https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-Skills/tree/main/skills/threejs-procedural-vegetation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"scottstts-threejs-procedural-vegetation","task":"Install threejs-procedural-vegetation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Maintenance
fresh
9d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
782
76/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
782 GitHub stars
Repo activity
782 stars, 87 forks
Maintenance
9d since push
License
MIT
Install
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/scottstts-threejs-procedural-vegetation/install
Agent should check
Copy prompt
Task: Use threejs-procedural-vegetation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20threejs-procedural-vegetation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install
Install command: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetation
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/api/skills/scottstts-threejs-procedural-vegetation/install
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Agent prompt
Use threejs-procedural-vegetation for this task. Review https://www.openagentskill.com/api/skills/scottstts-threejs-procedural-vegetation/install, then install with: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-procedural-vegetationRegistry metadata
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Manifest
/api/registry/manifest/scottstts-threejs-procedural-vegetation
LLM text
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Install alias
/api/registry/install/scottstts-threejs-procedural-vegetation
Recommend
/api/registry/recommend?task=Use%20threejs-procedural-vegetation%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO782 GitHub stars
Stars/forks activity
INFO782 stars, 87 forks; issue activity unavailable in current metadata
Recent maintenance
PASS9d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: threejs-procedural-vegetation description: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw WebGPU. Use for surface-following vines, painted ivy paths, stylized or GPU grass, GPU-culled virtual flower fields, trunks, recursive branches, roots, canopies, leaf cards, species presets, deterministic growth, distance-tiered plant geometry, and rooted blade, stem, or petiole-hinge wind. ---
# Procedural Vegetation
Represent a plant as a growth hierarchy plus rendering adaptations. Do not model it as randomly scattered cylinders.
This skill contains exemplary examples and assets beyond descriptive guidance, they're worth studying, referencing, or even copying. Use them sufficiently when relevant and do NOT blindly skip them.
## Build sequence
1. Define a per-level species table: length, radius, taper, child count, emergence range, angle, twist, gnarliness, sections, radial segments. 2. Grow branches iteratively from a queue so recursion depth and budgets remain inspectable. 3. Emit each branch as oriented rings with an intentional UV seam. 4. Update section orientation from: - inherited direction; - stochastic curvature; - tropism or external force; - optional attraction constraints. 5. Spawn children with stratified longitudinal slots and independently permuted angular slots. 6. Generate leaves only after branch topology is stable. 7. Build foliage normals from both card orientation and local crown volume. 8. Choose wind scope explicitly. Leaf-root deformation, branch hierarchy deformation, and whole-tree sway are separate systems.
Read [references/structured-ash-growth-system.md](references/structured-ash-growth-system.md) and preserve its preset, continuation, child-placement, leaf, material, wind, and composition contracts before tuning.
Read the [Ash Growth System implementation](examples/structured-ash-growth/tree-system.js) with its [authored preset](examples/structured-ash-growth/ash-preset.js) for a contract-accurate implementation and its diagnostic attributes.
Read the [stylized meadow grass implementation](examples/stylized-meadow-grass/grass-system.js) for authored blade-cluster geometry with a procedural fallback, image-driven path masking, per-instance origin/facing attributes, circular-arc rooted wind, gust fronts, tip flutter, color clumps, macro variation, translucency, and rim diagnostics.
Read the [GPU-computed grass implementation](examples/gpu-computed-grass/gpu-grass-system.js) for MRT blade-parameter generation, deterministic terrain-conforming placement, Voronoi clumps, Bezier blade folding, wind-facing yaw, distance LOD/culling, normal/color fading, translucency, and field diagnostics.
Read [references/gpu-culled-flower-field.md](references/gpu-culled-flower-field.md) for the exact virtual-address, ecology, hierarchical-compaction, indirect-draw, distance-tier, atlas, wind, contact, resource, and diagnostic contracts.
Read the [GPU-culled flower-field entry](examples/gpu-culled-flower-field/gpu-culled-flower-field.js) and its complete [raw WebGPU implementation](examples/gpu-culled-flower-field/source/gpu-culled-flower-field.ts) for zero-record integer candidate reconstruction, 32 by 32 tile culling, three visible-ID streams, indirect near/middle/far draws, curved textured petals, identity-preserving horizon heads, and rooted moving-contact response.
Read the [procedural surface ivy entry](examples/procedural-surface-ivy/ivy-effect.js) and its complete [TypeScript implementation](examples/procedural-surface-ivy/source/ivy.ts) for seeded spline-following stems, repeated mesh reprojection, tangent-plane creep and droop, parallel-transport tube rings, growth reveal, instanced leaves and umbels, and rigid petiole-hinge wind. Treat the TypeScript modules as the only implementation; the entry file only re-exports them.
## Visual failure conditions
- branches form visible helices; - dense grass ignores terrain height or clump-level variation; - every child emerges at the same relative height; - bark texture scale changes with branch radius; - leaves reveal flat card normals under rotation; - leaf wind moves card roots instead of remaining anchored; - branch wind is claimed to match a reference whose branches are static; - different seeds change species identity rather than controlled variation; - geometry cost grows without a per-level budget; - surface-following stems are offset from the host or flip normals across seams; - ivy branches ignore the tangent plane while attached; - leaf wind rotates around the card center instead of the petiole. - a million-flower field allocates CPU transforms or per-candidate records; - distant flower LOD replaces species identity with one generic sprite; - compaction and direct rendering reconstruct different roots or acceptance; - flower heads stay world-up after their stems bend.
## Routing boundary
Use `$threejs-procedural-geometry` for generic branch-ring emission without a growth model. This skill owns species tables, vine and branch topology, surface-following growth, foliage, grass fields, roots, and rooted wind.
Source provenance
Decision snapshot
782 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for threejs-procedural-vegetation, ready for a manual X post.
threejs-procedural-vegetation: Generate authored procedural trees, grass, ivy, flowers, and vegetation in Three.js or raw We... 782 stars https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x
Listing + install path for threejs-procedural-vegetation: https://www.openagentskill.com/skills/scottstts-threejs-procedural-vegetation?ref=x Install: npx skills add scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-pr...
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Review then install
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness