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AI EngineeringPython

Knowledge Layer

by study8677

Knowledge Layer is an AI Engineering skill for Claude Code, published by study8677 in repobrain.

1.3K stars265 forkson study8677/repobrainAdded 2026/08/20Repository updated 2026/08/14
agents-sdkai-agentclaude-codecode-intelligencecode-searchcodebase-qacodex-clicopilotcursordeveloper-toolside-pluginknowledge-graphllmmcpmcp-servermulti-agentopenaipythonragwindsurf
Install in seconds
Install Knowledge Layer
Copy Knowledge Layer into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/study8677/repobrain/tree/main/engine/repobrain_engine/skills/knowledge-layer ~/.claude/skills/knowledge-layer

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/study8677/repobrain.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
engine/repobrain_engine/skills/knowledge-layer/SKILL.md in study8677/repobrain
Installs to
~/.claude/skills/knowledge-layer
Collection
One of 6 skills cataloged from this repository
Category
AI Engineering β€” 2451 skills

What Knowledge Layer does

Knowledge Layer provides a high-level deployment wrapper over RepoBrain core with graph-first knowledge injection and all-file support. Use it to build and query a repository knowledge graph via refresh_filesystem and ask_filesystem.

Knowledge Layer is cataloged under AI Engineering on DirSkills. Knowledge Layer comes from a repository tagged agents-sdk, ai-agent, claude-code, code-intelligence and code-search.

Documentation

README

Knowledge Layer Skill

Purpose

Provide a high-level deployment wrapper over RepoBrain core, with graph-first knowledge injection and all-file support (code, docs, data, media metadata).

Inputs

  • refresh_filesystem(workspace=".", quick=False)
  • ask_filesystem(question, workspace=".")

Outputs

  • Refresh writes graph-first artifacts under .repobrain/:
    • knowledge_graph.json
    • knowledge_graph.md
    • knowledge_graph.mmd
    • document_index.md
    • data_overview.md
    • media_manifest.md
    • plus existing conventions.md and structure.md
  • Ask returns a grounded answer with source paths.

Boundaries

  • Skill is a wrapper layer only; no standalone runtime.
  • Core Hub/Agent/Pipeline architecture remains the source of truth.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Knowledge Layer

  • What else does study8677 publish alongside Knowledge Layer?

    Knowledge Layer is one of 6 skills that DirSkills catalogs from study8677/repobrain, the repository it ships in. Its siblings there include Agent Repo Init, Agent Repository Init and Agent Workspace Init. Each one is a separate skill with its own page in this directory, installs the same way Knowledge Layer does, and is maintained by study8677 in that same repository. The rest of the collection is listed on the study8677/repobrain page.

  • How does Knowledge Layer compare to other AI Engineering skills?

    Knowledge Layer ranks #1101 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Knowledge Layer against them. Open each page to compare what they document and how they install.

More from study8677/repobrain

Knowledge Layer is one of 6 skills cataloged on DirSkills from study8677/repobrain.

See all 6 skills β†’