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Everything Local Search Breadcrumb Memory

Knowledge Management Updated 2026.08.29

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About this skill

Problem

Local Windows folders often contain too many files to browse manually. es.exe can find file names quickly, but raw search results rarely become durable notes: they are hard to review later and their thematic connections stay invisible. This skill connects Everything local search, breadcrumb notes, and Ebbinghaus spaced repetition so engineers can turn scattered documents, scripts, and references into a personal knowledge graph.

How it works

It first queries Everything/es.exe by keyword or pattern and returns structured JSON fields such as path, name, size, and modified date. The skill then distills hits into knowledge entries, tracking created_at, review_count, last_reviewed_at, and next_review_at, with review intervals of 1, 2, 4, 7, 14, 30, 60, and 120 days. The relation engine links notes using types such as tag_cluster, content_bridge, source_family, sequential_chain, and conceptual_hierarchy, forming closed, nested, branching, or chain-shaped donut graphs.

Boundaries

It targets Windows only, does not search the web, does not perform semantic search, and does not read or modify file contents. Use a different skill for web search, macOS/Linux files, or content-level operations.

Use Cases

  • Locate scripts, configs, and legacy docs in Windows repos by keyword, returning path, size, and modified date.
  • Turn repeated search hits into breadcrumb entries, record creation time, and queue them for review.
  • Schedule existing notes with 1, 2, 4, 7, 14, 30, 60, and 120-day review intervals.
  • Link notes by tags, source families, or concept hierarchy into traceable donut relations.

Best For

  • Engineers maintaining local Windows document repos who need fast filename-based lookup for scripts and configs
  • Knowledge-management users who build long-term technical notes and want spaced repetition to prevent forgetting
  • Research assistants who need to consolidate scattered file paths into knowledge entries and surface topic links
  • Windows users managing local materials with agents, without needing web search or content-level operations