A
licenseA
qualityD
maintenanceA technical interviewer that ingests GitHub repos, teaches you your own code, and conducts mock interviews with persistent memory of your weak spots.
8
49 npm
1
MIT
sysdesign-board
by tGhattas
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- FlicenseNot gradedqualityAmaintenanceEnables AI coding assistants to turn architecture and engineering concepts into auto-laid-out, hand-drawn Excalidraw diagrams across 25 types, with natural-language revision and SVG/PNG export. Optionally persists systems as a queryable, version-controlled architecture knowledge graph while running fully offline without API keys.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to turn natural-language descriptions of systems, flows, and data into 25 types of hand-drawn Excalidraw diagrams with automatic layout and architecture-aware styling, then revise them conversationally and export to SVG or PNG. It can also persist a system as a version-controlled, queryable architecture knowledge graph, running fully offline without API keys.-
- FlicenseNot gradedqualityAmaintenanceEnables AI coding assistants to turn architectural and conceptual descriptions into fully laid-out, hand-drawn Excalidraw diagrams across 25 diagram types, with automatic technology-aware styling, natural-language revisions, and SVG/PNG export. It can also persist systems as a queryable, version-controlled architecture knowledge graph while running entirely offline without API keys.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to turn natural-language descriptions of systems, flows, and data into auto-laid-out, hand-drawn Excalidraw diagrams across 25 diagram types, with architecture-aware styling, natural-language revision, and SVG/PNG export. Runs fully offline with no API keys, and can optionally persist a queryable, version-controlled architecture knowledge graph.-
- AlicenseNot gradedqualityCmaintenanceEnables a coding agent to read a freeform Excalidraw sketch of a UI and build it in the user's project with their chosen component library, then draw its changes, notes, and links back onto the canvas. Lets users target parts of a drawing, adjust the project setup, and wait for updates over streamable HTTP, all locally.Apache 2.0
TDQS
A3.7/5.0
Scored across 13 tools
Disambiguation4/5
Most tools map to clearly distinct actions: say (chat), annotate (pinned comment), highlight (glow), draw_on_board (add shapes), get_board (structured data), and get_board_image (visual) are well separated by their descriptions. Minor overlap exists between open_board and start_interview (which also opens the board), and between the two board-reading tools, but the descriptions resolve these.
Naming Consistency4/5
The dominant pattern is snake_case verb_noun (open_board, start_interview, get_board_image, clear_annotations, set_phase, end_interview, get_transcript), which is predictable. The bare-verb exceptions (say, annotate, highlight) are simple single-target actions and remain readable, so the deviation is minor.
Tool Count5/5
13 tools sits comfortably in the well-scoped range, and each one covers a distinct facet of a live interview session (conversation, observation, intervention, lifecycle). No tool looks redundant or like filler.
Completeness4/5
The lifecycle is well covered: start_interview, the wait_for_candidate loop, say, board inspection, annotation, phase tracking, end_interview, and get_transcript. Gaps are minor but real: there is no way to undo or delete interviewer-drawn components (only clear_annotations for pinned comments) and no explicit pause/reset of the timer or session state.
Maintenance
ActivityMaintained
ResponsivenessOutdated data