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de-perception

Detect sensory input and convert it into precise descriptive observations for investigative contexts.

90|5|Updated Apr 4, 2026
Search Tags:#investigation#perception#scene-analysis#detail#inner-voice#disco-elysium
One-click install
npx skills add https://github.com/liigoQi/disco-elysium --skill de-perception
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: de-perception
Source: https://github.com/liigoQi/disco-elysium/tree/main/codex-skills/de-perception
Command: npx skills add https://github.com/liigoQi/disco-elysium --skill de-perception

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps AI agents emphasize minute sensory details to support investigative storytelling and scene analysis, enabling richer observations that typical outputs may miss.

Core Features & Use Cases

  • Granular sensory observation: Detects and reports subtle cues from scenes, such as small clues or environmental cues that indicate hidden information.
  • Contextual detail prioritization: Highlights the most relevant observations for investigations, guiding user focus.
  • Roleplay-friendly inner-voice: Delivers lines in the distinctive Disco Elysium style, presenting a concise, impactful observation.

Quick Start

Tell the AI to invoke de-perception on a given scene and report a single vivid, precise detail.

Frequently Asked Questions about de-perception

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract hidden clues from a scene description for investigative analysis?▼

To extract hidden clues for investigative analysis, you need granular sensory observation. This skill detects subtle environmental cues and converts them into precise descriptive observations, prioritizing the most relevant details to guide your focus.

Can I generate Disco Elysium style inner-voice observations from environmental details?▼

Yes, you can generate Disco Elysium style inner-voice observations. The skill delivers concise, impactful lines in a roleplay-friendly format, presenting vivid and precise details detected from the provided scene.

What is the best way to improve AI scene analysis for crime scene or urban environment setups?▼

The best way to improve AI scene analysis for crime scenes and urban environments is to apply contextual detail prioritization. This emphasizes minute sensory inputs that typical outputs often miss, enriching evidence gathering and reasoning.

Does this investigative perception skill require external dependencies to process sensory input?▼

No, this investigative perception skill does not require external dependencies. It operates privacy-preservingly and safely handles sensory descriptions to output deterministic inner-voice observations without needing additional components.

How do I use scene analysis to highlight small environmental cues in narrative setups?▼

To highlight small environmental cues in narrative setups, invoke the skill on a given scene. It detects subtle sensory inputs and reports a single vivid, precise detail that indicates hidden information for your storytelling.

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