Agent skill · data analytics · daffy0208
Dark Matter Analyzer
Analyze repositories to reveal unseen patterns, strategic drift, and organizational health. Use when assessing repository coherence, diagnosing project issues, identifying documentation inflation, or understanding why a codebase feels misaligned with its stated goals.
Why this skill is useful
Provides domain-specific analysis techniques and commands for assessing repository coherence that the AI wouldn't reliably generate on its own.
What it needs
Requires bash installed locally. About 8k tokens when loaded. Last updated 2025-12-25. 33 stars on the source repository.
What this skill does
Dark Matter Analyzer Purpose Dark Matter Mode reveals what is unseen, unsaid, and unmeasured in repositories and codebases. It goes beyond code quality metrics to illuminate the invisible architectures shaping system behavior — identifying strategic drift, documentation inflation, execution gaps, and organizational health patterns that traditional tools miss. "Every repo is a psyche made visible." This skill helps diagnose why a repository feels off, not just what is wrong technically. When to Use This Skill Repository feels misaligned but traditional metrics look fine Documentation is extensive but team still feels confused Stated goals don't match actual work being done Need to understand organizational patterns in codebase structure Project velocity is high but coherence feels low Planning significantly outpaces execution Multiple overlapping documents on same topics Need to assess "Repository Coherence Index" (RCI) Preparing for major refactor or reorganization When NOT to use: Simple bug fixes, feature additions, or standard code reviews Core Methodology Step 1: Sensing — Signal Ingest Objective: Capture ambient signals and metadata from the repository Actions: 1. Scan code signals: commit patterns, refactor frequency, lint suppressions, TODO/FIXME markers 2. Scan documentation signals: README drift, redundant .md files, doc count vs code ratio 3. Scan temporal signals: time lag between decision and execution, feature velocity 4. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills daffy0208/dark-matter-analyzer