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denser
Find the signal density sweet spot for your LLM prompts, skills, and agent configs — with empirical proof.
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Python
agentsanthropicclaudeclaude-codellmllm-toolsprompt-compressionprompt-engineeringpythonskills
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest Evostructs/denserAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/denser curl -fsSL https://raw.githubusercontent.com/Evostructs/denser/main/SKILL.md -o ~/.claude/skills/denser/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
denser — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt