一键导入
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。
基于 SOC 职业分类
Use when writing or modifying any Ruby code in cobalt repos. Enforces structured logging via SemanticLogger + Datadog so logs are queryable, dashboardable, and debuggable. Triggers on new interactors, jobs, services, controllers, error handling, and any business logic that should be observable.
Create, edit, and review Datadog dashboard JSON so every widget actually renders the data the user wants — not merely valid JSON. Enforces three gates: (1) valid JSON structure, (2) every query verified against LIVE data, (3) each section verified to answer its intended question. Use when building a Datadog dashboard, reviewing or importing/exporting dashboard JSON, writing dashboard queries (query_value, timeseries, toplist, query_table, list_stream), adding rates or denominators, or debugging why a tile shows "No data", a blank cell, or a wrong number. Triggers include "datadog dashboard", "dashboard JSON", "review this dashboard", "build/create a dashboard", "widget shows no data", "why is this tile empty", "does this query return data".
Deep strategic analysis of meetings from Krisp transcripts. Acts as a second brain — surfaces insights, subtext, commitments, risks, and recommendations the user might miss. Use when: user asks to debrief a meeting, analyze a call, review a conversation, pull insights from a meeting, wants meeting notes or analysis, says 'debrief', 'second brain', 'what did I miss', 'meeting insights', or references a recent call they want analyzed. Works with any meeting type: 1:1s, group syncs, strategy sessions, standups, skip-levels.
Generate a concise team status report for an engineering manager before calls or check-ins. Covers progress, blockers, risks, individual workloads, PRs in flight, meeting context, and project health assessments. Default scope is the Delivery Domain (DL) team over the last 1.2 weeks. Use when the user says "team pulse", "team status", "what's my team working on", "prep me for standup", "what happened this week", "sprint update", "team report", "how is [project] going", "how is [person] doing", "prep me for 1:1", or any request for a team/project/person activity summary.
Use when encountering any bug, test failure, performance regression, or unexpected behavior, before proposing fixes
A relentless interview to sharpen a plan or design.
| 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. |
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.Scope before you scan — YAGNI. Deepening a module pays off by making future changes to it easier, so put extra weight on the parts of the codebase that have recently changed. Decide where to look before you look:
git log --oneline) to find the codebase's hot spots — the files and areas that keep coming up — and let those paths pull your attention first. If the changes are scattered with no clear hot spot, widen the net.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 decision 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.