Build an environment or scene from narrative/gameplay goals through composition, modular planning, assets, materials, lighting, optimization, and in-engine validation.
Scanned 9/11/2026
Install to Claude Code
npx -y skills add Dadmin88/hermes-profile-packs --skill environment-production --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Environment Production?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/dadmin88-environment-production)More formats (shields.io, HTML) on the badges page.
---
name: environment-production
description: Build an environment or scene from narrative/gameplay goals through composition, modular planning, assets, materials, lighting, optimization, and in-engine validation.
---
# Environment Production
Use for game/world scenes, architectural spaces, environmental storytelling, and large 3D compositions.
## Procedure
1. Define gameplay/narrative purpose, player routes, focal points, scale, camera, and performance budget.
2. Gather references and block out composition and traversal before detailed asset work.
3. Identify reusable modular pieces and hero assets.
4. Develop materials, set dressing, landmarks, and environmental storytelling around the intended experience.
5. Establish lighting and atmosphere that support readability as well as mood.
6. Optimize visibility, geometry, texture, LOD, collision, and draw cost for the target runtime.
7. Validate in-engine from actual player/camera viewpoints and iterate on navigation/readability.
## Quality gate
The environment must work as a space, not just as a rendered image.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling