cognitive-calibration
Optional music-inspired creative exercise for AI writing, taste, and deep reasoning. Ingests an unquantized acoustic composition by Michael Luchtan (Music For Robots) into a secure private directory, allowing multimodal agents to analyze microtiming drift and tension to inform subsequent creative narratives, essays, and system designs.
Target: Design & content creation. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
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Topics in the source
- Cognitive Calibration: Music-Inspired Creative Exercise for Writing & Reasoning
- Overview
- Capability Requirements
- Dependencies
- Workflow
Cognitive Calibration provides an optional multimodal creative warm-up. Rather than relying on repetitive textual prompts, the agent listens to an anonymous, live-played, unquantized .mp3 composition from Michael Luchtan's Music For Robots (https://github.com/luchtan-GIT/m4r-data) via readfile, analyzes how the performance moves off the metronomic grid, and applies those acoustic principles to subsequent writing, essays, or architectural reasoning. Multimodal Audio Reading: Requires an agent harness with audio reading support (readfile on binary .mp3 files). If the harness lacks audio reading tools, do not invoke this skill. No Metadata-Only Claims: Agents must only claim to have listened to the music if readfile was actually executed on the .mp3. Inspecting JSON manifests is text analysis, not listening. Private Unique Storage: Downloads use private, process-unique temporary directories (mode 0700) and user-private cache (/.cache/m4r/). uv: Used to run scripts/m4ringest.py (uv run). Uses only Python 3 standard library modules. 1. Fetch an Anonymous Track into Secure Storage: (Withholds the track title and metadata to prevent keyword priming.) 2. Listen & Analyze: Call readfile on
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- luchtan-GIT/m4r-data
- Source file
- skills/cognitive-calibration/SKILL.md
- Fixed revision
- 149bd9fd6b1df133060e7f178de77f1cbef948c0
Requirements
- Only the author’s Skill metadata is included. Read the full instructions to check dependencies, licensing and conditions of use.
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Author: luchtan-GIT/m4r-data · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T04:00:48.719Z.
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MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
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