By mjn298
Living application graph tools — scan codebases, query routes/entities/pages, explore graph relationships, check Gherkin coverage, and scaffold new scanners
Check Gherkin step coverage against the application graph
Classify Gherkin steps and discover implementation patterns via the application graph
Explore the connected subgraph around a node in the application graph
Implement a feature from a Gherkin step or narrative description using the application graph
Scaffold a new Abacus scanner with boilerplate code and tests
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npx claudepluginhub mjn298/abacus --plugin abacusTypeScript/JavaScript language server backed by the native TypeScript 7 server (typescript@rc, invoked as `tsc --lsp`)
Lean, Linear-native design→plan→work→learn workflow with a per-project compounding knowledge base.
Shared workflows: ticket refinement (/refine-tickets) and full engineering team orchestration (/eng-team)
AST knowledge graph for intelligent code navigation — auto-indexes your codebase and provides semantic search, call graph traversal, HTTP route tracing, and impact analysis via MCP tools
Codebase intelligence for AI agents. The /devlens skill teaches your agent to query a precomputed code graph (nodes, typed edges, technical/business/security summaries) via the DevLens CLI instead of grepping and reading whole files — with subcommands for architecture, diagrams, security analysis, impact, summaries, and more.
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.
Smart codebase exploration with dependency mapping and structure analysis
Code graph navigation and semantic search for LLM coding agents
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.