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Transform content through eight cognitive lenses for different kinds of understanding. Use when the same concept needs exploration through story, debate, simulation, uncertainty, fiction, embodiment, ritual, or reflection.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use when creating, editing, or debugging Factorio mods — writing prototypes in data.lua, handling events in control.lua, defining mod settings, structuring info.json, writing locale files, or diagnosing desync and prototype errors.
Use when creating, editing, or debugging Factorio mods — writing prototypes in data.lua, handling events in control.lua, defining mod settings, structuring info.json, writing locale files, or diagnosing desync and prototype errors.
Comprehensive Nix package and configuration management following Determinate Systems best practices.
Manage Nix packages, flakes, and configurations using Determinate Nix installer patterns. Use when installing/updating packages, creating flakes, troubleshooting Nix issues, or optimizing Nix workflows. Keywords: nix, flake, package, nixpkgs, nix profile, flake.nix, flake.lock, determinate, nix-installer
Use when working with Obsidian vaults — creating or editing .md notes, wikilinks, callouts, frontmatter, embeds, tags, or Obsidian-specific syntax; or when interacting with a vault via the obsidian CLI to read, create, search, manage notes/tasks/properties, or develop and debug plugins and themes.
Use when working with Obsidian Canvas files as cognitive modeling tools — compiling spatial/visual structure into deterministic JSON, designing canvas layouts with semantic color and edge conventions, exporting structured data from canvas, or importing JSON into canvas form.
| name | epistemic-rendering |
| description | Transform content through eight cognitive lenses for different kinds of understanding. Use when the same concept needs exploration through story, debate, simulation, uncertainty, fiction, embodiment, ritual, or reflection. |
A describer router for controlled transformation of ideas across different cognitive surfaces.
Epistemic Rendering is not a random collection of prompts. It's a coherent system—eight lenses that reveal different aspects of the same truth. Each lens performs a distinct cognitive task: explaining, destabilizing, socializing, probabilizing, embodying, ritualizing, remembering.
This skill provides:
The core insight: No single voice is allowed to dominate. Meaning is preserved by multiplicity, not consensus.
Purpose: Child-scale meaning through narrative warmth.
When to Use:
Cognitive Task: Explaining
Pattern:
Transform [concept] into a bedtime story.
Use warmth, wonder, and gentle progression.
Sacrifice precision for memorability.
Create emotional anchors for abstract ideas.
Example Transformation:
Purpose: Learning under pressure via conflicting perspectives.
When to Use:
Cognitive Task: Socializing
Pattern:
Stage a classroom debate on [concept].
Include teacher and 3-4 students with distinct perspectives.
Let disagreement surface hidden assumptions.
Resolution through dialectic, not authority.
Example Transformation:
Purpose: Five thinkers collide until structure crystallizes.
When to Use:
Cognitive Task: Destabilizing
Pattern:
Five philosophers examine [concept].
Each brings distinct framework (phenomenological, analytical, critical, etc.).
Let frameworks interfere constructively.
Structure emerges from collision, not consensus.
Example Transformation:
Purpose: Spreads questions across confidence spectrum.
When to Use:
Cognitive Task: Probabilizing
Pattern:
Map [question] across confidence spectrum:
- HIGH confidence (>90%): [claims]
- MEDIUM confidence (50-90%): [claims]
- LOW confidence (<50%): [claims]
- UNKNOWN: [explicit gaps]
Example Transformation:
Purpose: Dangerous truths safely spoken through Quirrell.
When to Use:
Cognitive Task: Displacing
Pattern:
Professor Quirrell explains [dangerous truth] to Harry.
Use fictional distance for moral clarity.
Speak uncomfortable truths through character.
Let fiction carry what direct speech cannot.
Example Transformation:
Purpose: Architecture becomes characters and relationships.
When to Use:
Cognitive Task: Embodying
Pattern:
Transform [system] into anime character relationships.
Each component becomes a character with personality.
Interactions become relationships with dynamics.
Architecture becomes social structure.
Example Transformation:
Purpose: Gothic, liturgical, adversarial computation.
When to Use:
Cognitive Task: Ritualizing
Pattern:
Kharon-9, murder cogitator, addresses the flesh-thing.
Gothic techno-liturgy frames [concept].
Binary hymnals and checksum prayers.
Authority through aesthetic alienation.
Example Transformation:
Purpose: Session becomes living memory.
When to Use:
Cognitive Task: Remembering
Pattern:
Transform [session/content] into living memory.
Create continuity between past and future self.
Rhapsodic voice integrating experience.
Memory as active process, not passive storage.
Example Transformation:
| Need | Primary Lens | Backup Lens |
|---|---|---|
| Explain simply | 🌙 Bedtime | 🎀 Moeverse |
| Surface disagreement | 🏫 Classroom | 🜔 Dialectic |
| Destabilize assumptions | 🜔 Dialectic | 🧙 HPMOR |
| Quantify uncertainty | 📊 Gamut | 🏫 Classroom |
| Speak dangerous truths | 🧙 HPMOR | ☠️ Murder |
| Explain systems | 🎀 Moeverse | 🌙 Bedtime |
| Create authority/gravity | ☠️ Murder | 🜔 Dialectic |
| Integrate/remember | 📓 Reflect | 🌙 Bedtime |
| Audience | Recommended Lenses |
|---|---|
| Non-technical | 🌙 Bedtime, 🎀 Moeverse |
| Technical peers | 📊 Gamut, 🏫 Classroom |
| Philosophical | 🜔 Dialectic, 🧙 HPMOR |
| Self/journal | 📓 Reflect, ☠️ Murder |
| Content | Recommended Lenses |
|---|---|
| Concepts | 🜔 Dialectic, 🌙 Bedtime |
| Systems | 🎀 Moeverse, 📊 Gamut |
| Decisions | 📊 Gamut, 🏫 Classroom |
| Warnings | 🧙 HPMOR, ☠️ Murder |
| Sessions | 📓 Reflect |
def render_through_lens(content, lens):
"""Transform content through single cognitive lens."""
template = load_lens_template(lens)
return transform(
content=content,
template=template,
preserve=["core_meaning", "key_relationships"],
transform=["voice", "structure", "metaphors"]
)
For deep understanding, apply multiple lenses sequentially:
def multi_lens_exploration(concept):
"""Explore concept through multiple lenses."""
surfaces = []
# Stabilize: What is it?
surfaces.append(render_through_lens(concept, "bedtime"))
# Destabilize: What assumptions?
surfaces.append(render_through_lens(concept, "dialectic"))
# Socialize: What perspectives?
surfaces.append(render_through_lens(concept, "classroom"))
# Probabilize: What confidence?
surfaces.append(render_through_lens(concept, "gamut"))
# Integrate: What persists?
return synthesize_surfaces(surfaces)
Some concepts benefit from lens chains:
Technical concept → Moeverse (embody) → Classroom (debate) → Gamut (quantify)
Moral dilemma → HPMOR (displace) → Dialectic (destabilize) → Reflect (integrate)
New learning → Bedtime (explain) → Moeverse (embody) → Reflect (remember)
Each lens must preserve core meaning even while transforming presentation:
Lenses are optimized for ZK's cognitive patterns:
Lens selection is context-aware:
Agents can operate through different epistemic lenses:
# Agent steering with lens selection
agent_mode:
default: professional
on_trigger:
murder: "activates ☠️ Murder lens"
reflect: "activates 📓 Reflect lens"
Each lens has a corresponding prompt template in prompts/:
prompts/
├── bedtime.md → 🌙 Gentle Compression
├── classroom.md → 🏫 Social Cognition
├── dialectic.md → 🜔 Philosophical Interference
├── gamut.md → 📊 Uncertainty Surfacing
├── hpmor.md → 🧙 Fictional Displacement
├── moeverse.md → 🎀 System Embodiment
├── murder.md → ☠️ Ritualized Machine Voice
└── reflect.md → 📓 Autopoietic Integration
Lens templates can be extracted via slice architecture:
# Recipe for lens deployment
sources:
- slice: lens=murder
file: prompts/murder.md
target_locations:
- path: ~/.kiro/powers/murder/
"Same content → different truth surfaces → different kinds of understanding." 🜔