claude

codebase-memory

Skills for integrating codebase-memory-mcp (CBM) into agents, exploring its graph and local Lens UI, and analyzing change and test impact.

2 on GitHubv0.3.0MITupdated 6 days ago
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Plugin codebase-memory from marketplace intelligentium in NetFabric/intelligentium. Commands read from the repo's manifest — 6 days ago.

What it installs

Skills (4)

  • codebase-memory-exploration

    Explore a codebase with codebase-memory-mcp's knowledge graph. USE FOR: understanding unfamiliar code; finding symbols, callers, dependencies, and architecture; following documentation, service, or deployment relationships; comparing indexed snapshots; checking graph evidence and coverage. DO NOT US

  • codebase-memory-lens

    Explore a codebase visually with codebase-memory-mcp Lens. USE FOR: starting or using CBM Lens; browsing source alongside graph relationships; viewing architecture, routes, hotspots, and index coverage; editing architecture decision records through the local UI. DO NOT USE FOR: agent-driven structur

  • codebase-memory-test-impact

    Use codebase-memory-mcp to estimate which tests a code change can affect. USE FOR: graph-based test selection; test-impact analysis from a diff; deciding whether CBM evidence supports a targeted test run. DO NOT USE FOR: replacing test execution or claiming full coverage from a partial graph.

  • codebase-memory

    Install, update, and integrate codebase-memory-mcp (CBM), a local knowledge-graph server for codebases. USE FOR: checking CBM installation and index readiness; installing or updating the binary; configuring its CLI/MCP workflows in agents, skills, prompts, and subagents. DO NOT USE FOR: exploring co

View source on GitHub intelligentium.ai

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Skills for authoring AGENTS.md project-context files, SKILL.md agent skills, GitHub Copilot CLI custom agents, Claude Code custom subagents, compact and executable agent-facing Markdown, graph-pattern multi-agent squads/swarms, choosing which AI model an agent should use, building apps with the GitHub Copilot SDK, automating Copilot CLI in GitHub Actions, converting data to/from TOON (Token-Oriented Object Notation) to cut LLM token usage, authoring Mermaid diagrams in markdown files, following general Markdown formatting best practices, searching files and code with ripgrep, producing and consuming Open Knowledge Format bundles, creating polished Python terminal interfaces and skill scripts with Textual and Rich, and finding, querying, and troubleshooting logs, transcripts, and OpenTelemetry traces from coding-agent harnesses.

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Core abstract math skills for angles, trigonometry, vectors, and coordinate system conversions.

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Skills for authoring, consuming, and publishing APM packages, plus configuring apm-action CI workflows.

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Abstract math skills for geodetic coordinates, reference ellipsoids, and datum transformations.

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Abstract math skills for 3D rotation representations, quaternion algebra, and interpolation on manifolds.

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