How does Context Constellation differ from standard file search?

Unlike standard search, it maps resonance and non-linear patterns across terminal history, scratchpads, and file metadata to find conceptual links rather than just keyword matches.

Does it reorganize my project's file structure?

No, it avoids imposing hierarchical organization. It presents findings as a map of relationships and resonance patterns without altering your actual directories or files.

Is this skill specifically for neurodivergent users?

While designed to support neurodivergent cognition and non-linear thinking, it is highly effective for any developer or researcher managing high-complexity projects across multiple domains.

What signals does it use to determine connections?

It scans code comments, terminal history, files opened but not edited (curiosity signals), recently created directories, and shared terminology across unrelated contexts.

Context Constellation

Name: Context Constellation
Author: Kingly-Agency

byKingly-Agency

Productivity & Workflow

Maps non-linear connections across files and thoughts to reveal hidden patterns and reconstruct fragmented work contexts.

About

Context Constellation is a specialized cognitive support skill designed to mirror non-linear thinking patterns, moving beyond rigid folder hierarchies to reveal the resonance between disparate files, code fragments, and projects. It scans temporal data, terminal history, and content signatures to help users synthesize scattered ideas, recover lost context, and identify cross-domain parallels that traditional organizational systems often obscure. By treating conceptual proximity as independent from file location, it surfaces weak signals and abandoned threads that connect to active work, providing a holistic view of your mental landscape.

Key Features

Temporal and conceptual scanning to separate recency from relevance
Non-linear context mapping across multiple domains and file types
Fragment-based context recovery for abandoned or lost work threads
Energy signature identification to find focus and friction zones
Pattern revelation that prioritizes conceptual resonance over hierarchy
0 GitHub stars

Use Cases

Identifying recurring metaphors or logic patterns across disparate codebases
Reconstructing mental context after a long break or major project shift
Synthesizing scattered research and code across seemingly unrelated projects

About

Key Features

Temporal and conceptual scanning to separate recency from relevance
Non-linear context mapping across multiple domains and file types
Fragment-based context recovery for abandoned or lost work threads
Energy signature identification to find focus and friction zones
Pattern revelation that prioritizes conceptual resonance over hierarchy
0 GitHub stars

Use Cases

Identifying recurring metaphors or logic patterns across disparate codebases
Reconstructing mental context after a long break or major project shift
Synthesizing scattered research and code across seemingly unrelated projects