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improve-codebase-architecture
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
Bootstrap and manage the personal .lightbridge namespace — per-project config at ~/.lightbridge/projects/<project-key>/config.toml (docs-index, repo-links, research, plans, …) and the rest of the user-level ~/.lightbridge/ tree (handoffs, plans, repos.toml). Use when setting up lightbridge config for a repo, enabling or adding a config section, asking what .lightbridge supports, wiring a new config feature, or locating user-level lightbridge state.
Explain an existing agentic system — a codebase where an AI agent is the central "CPU" surrounded by agent-native organs (reasoning loop, memory, context, tools, skills, MCP, subagents, hooks) — or design one from requirements. Covers agent runtimes/harnesses and capability/steering packs. Use when the user invokes it by name (`agentic-architecture`) or near-match.
The agent-experience ("AX") lens for any interface an AI agent drives — a CLI, MCP server, HTTP/REST API, or library/SDK. Judge an existing surface against the AX principles and prescribe prioritized fixes, or apply the principles while designing a new agent-facing surface. For a descriptive whole-surface doc across all audiences (end user / developer / agent), use `surface-architecture` instead. Use when the user invokes it by name (`ax-interface`) or near-match ("AX analysis", "agent experience of …", "agent-friendly interface").
The reconciliation pass between a settled design and the first line of code. Read the design docs, hunt the places they disagree with each other and with the chosen framework, then compile the object model that must satisfy all of them at once — turning prose rules into machine-checked invariants and amending upstream docs it contradicts. Use when design is settled and you are about to build, or when the user invokes it by name (`codebase-blueprint`) or near-match.
Explain an existing codebase's data architecture — where data rests (stores, schema) and how it moves (dataflow, lineage) — or design one from requirements. One Markdown doc with Mermaid diagrams. Use when the user invokes it by name (`data-architecture`) or near-match.
Decompose a function, method, class, or module of an existing codebase into a runnable notebook that explains it top-down — each piece executed on concrete inputs with real output shown inline. Use when the user invokes it by name (`explain-as-notebook`) or near-match mentioning.
| name | improve-codebase-architecture |
| description | Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick. |
| disable-model-invocation | true |
| metadata | {"version":"2026-07-02"} |
Surface architectural friction and propose deepening opportunities — refactors that turn shallow modules into deep ones. The aim is testability and AI-navigability.
This command is informed by the project's domain model and built on a shared design vocabulary:
/codebase-design skill for the architecture vocabulary (module, interface, depth, seam, adapter, leverage, locality) and its principles (the deletion test, "the interface is the test surface", "one adapter = hypothetical seam, two = real"). Use these terms exactly in every suggestion — don't drift into "component," "service," "API," or "boundary."CONTEXT.md gives names to good seams; ADRs in docs/adr/ record decisions this command should not re-litigate.Read the project's domain glossary (CONTEXT.md) and any ADRs in the area you're touching first.
Then use the Agent tool with subagent_type=Explore to walk the codebase. Don't follow rigid heuristics — explore organically and note where you experience friction:
Apply the deletion test to anything you suspect is shallow: would deleting it concentrate complexity, or just move it? A "yes, concentrates" is the signal you want.
Write a self-contained HTML file to the OS temp directory so nothing lands in the repo. Resolve the temp dir from $TMPDIR, falling back to /tmp (or %TEMP% on Windows), and write to <tmpdir>/architecture-review-<timestamp>.html so each run gets a fresh file. Open it for the user — xdg-open <path> on Linux, open <path> on macOS, start <path> on Windows — and tell them the absolute path.
The report uses Tailwind via CDN for layout and styling, and Mermaid via CDN for diagrams where a graph/flow/sequence reliably communicates the structure. Mix Mermaid with hand-crafted CSS/SVG visuals — use Mermaid when relationships are graph-shaped (call graphs, dependencies, sequences), and hand-built divs/SVG when you want something more editorial (mass diagrams, cross-sections, collapse animations). Each candidate gets a before/after visualisation. Be visual.
For each candidate, render a card with:
Strong, Worth exploring, Speculative, rendered as a badgeEnd the report with a Top recommendation section: which candidate you'd tackle first and why.
Use CONTEXT.md vocabulary for the domain, and the /codebase-design vocabulary for the architecture. If CONTEXT.md defines "Order," talk about "the Order intake module" — not "the FooBarHandler," and not "the Order service."
ADR conflicts: if a candidate contradicts an existing ADR, only surface it when the friction is real enough to warrant revisiting the ADR. Mark it clearly in the card (e.g. a warning callout: "contradicts ADR-0007 — but worth reopening because…"). Don't list every theoretical refactor an ADR forbids.
See HTML-REPORT.md for the full HTML scaffold, diagram patterns, and styling guidance.
Do NOT propose interfaces yet. After the file is written, ask the user: "Which of these would you like to explore?"
Once the user picks a candidate, run the /grilling skill to walk the design tree with them — constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive.
Side effects happen inline as decisions crystallize — run the /domain-modeling skill to keep the domain model current as you go:
CONTEXT.md? Add the term to CONTEXT.md. Create the file lazily if it doesn't exist.CONTEXT.md right there./codebase-design skill and use its design-it-twice parallel sub-agent pattern.Adapted from mattpocock/skills (MIT).
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