convex-launch-readiness

Chạy mọi bản kiểm tra Convex (authz, reviewer, advisor, insights) thành một báo cáo mức độ sẵn sàng được chấm điểm, loại bỏ trùng lặp kèm kế hoạch sửa lỗi theo thứ tự — Lighthouse cho backend của bạn.

npx skills add https://github.com/get-convex/agent-skills --skill convex-launch-readiness

Launch-readiness report

Readiness is not one check — it's the union of the checks, deduped, ranked, and scored. This capability is pure composition over the findings bus (specs/finding.schema.json): it runs each audit capability, normalizes their outputs into one report (specs/finding-report.schema.json), computes an auditable score, and — because every finding names a fixCapability — hands the user a prioritized, actionable punch list instead of four separate reports. It fixes nothing itself; it decides WHAT to fix and in what order, then dispatches to the fixers.

Workflow

  1. GUARD + SCOPE: deploy-guard classifies the target (local-anonymous / dev / preview / prod); announce it. Detect what's assessable — is there a convex/ dir, a deployed deployment with traffic, an auth foundation? Skip passes whose preconditions aren't met and SAY which were skipped (a skipped pass is not a pass).
  2. RUN THE PASSES, each emitting findings on the bus:
    • convex-authz — the authz scan (identity-from-arg, missing ownership, PII leak, parent-ref-on-write). Always runnable on code.
    • convex-reviewer — validators, indexes-not-filter, idiom, error handling. Always runnable on code.
    • convex-advisor — live read-limit / OCC evidence (only if a deployment with traffic exists; else record 'skipped: no traffic').
    • convex-insights — recent failures from logs (only if a deployment exists). Run independent passes concurrently; each returns findings, not fixes.
  3. NORMALIZE + DEDUPE: collect all findings into one report. Set each finding's identity field to a normalized function/table key (e.g. messages:list) that is the SAME whether the pass reported a code-locus or a deployment-locus for that function — so the SAME defect seen from two loci (reviewer flags a missing index at code-locus, advisor flags its read-limit symptom at deployment-locus) collapses to ONE via the bus's (class, identity) dedup and isn't double-counted in the score. Keep the higher-confidence source. Drop nothing silently; a pass that errored/was skipped is a stated coverage gap, not a clean result.
  4. SCORE, auditable: start at 100; subtract per CONFIRMED finding by severity (high −15, med −5, low −1), floor at 0; print the exact formula and the per-class breakdown so the number is reproducible, not a vibe. plausible-only findings are listed as candidates but do NOT move the score (evidence-not-vibes). A deployment/traffic-less run reports a code-only score and says so.
  5. REPORT: the score, then findings ranked by severity, each with its evidence, its locus, and the fixCapability + a one-line fix note. Group by 'blockers' (high) / 'should-fix' (med) / 'nice-to-have' (low). End with the ordered fix plan: which capability to run next, in what order (authz/data-loss first, then perf/scale, then idiom/observability).
  6. DISPATCH on request: for each finding the user accepts, invoke its fixCapability (convex-authz, convex-reviewer's fixers, migrate-rehearse for schema changes, suggest for component swaps). After fixes, RE-RUN the affected passes and show the score delta — the readiness number is only meaningful if it moves when you fix things.
  7. Never claim more coverage than was run: the report header lists which passes ran, which were skipped and why. A green score on a code-only run is 'code looks ready', not 'production-verified'.

Rules

  • Compose, don't re-implement: run the existing audit capabilities and aggregate their bus findings — never re-derive an authz or perf check inline.
  • The score counts CONFIRMED findings only, by severity, with the formula printed; plausible findings are candidates that don't move the number.
  • Normalize each finding's locus to a function/table identity before dedup (map deployment functionId ↔ code file:line) so one defect seen from two loci collapses to one and isn't double-scored; keep the higher-confidence source; drop nothing silently.
  • Every finding carries its fixCapability; the report ends with an ORDERED fix plan (data-loss/authz first, then scale, then idiom/observability).
  • Re-run affected passes after fixes and show the score delta — a readiness number that doesn't move when you fix things is theater.
  • Never claim more than was run: header lists ran/skipped passes; a code-only run yields a code-only score, explicitly labeled.
  • This is a read + aggregate + dispatch pass; fixes happen in the fixer capabilities, gated by their own consent/deploy-target rules.

Thêm skills từ get-convex

convex-performance-audit
get-convex
Kiểm tra hiệu suất Convex cho các thao tác đọc, đăng ký, xung đột ghi và giới hạn hàm. Sử dụng cho các tính năng chậm, phát hiện insights, xung đột OCC hoặc khuếch đại đọc.
developmentdatabasedata-analysis
convex
get-convex
Chuyển hướng các yêu cầu Convex chung đến kỹ năng dự án phù hợp. Sử dụng khi người dùng hỏi nên dùng kỹ năng Convex nào hoặc đưa ra một tác vụ ứng dụng Convex chưa được xác định rõ.
developmentdatabase
convex-setup-auth
get-convex
Thiết lập xác thực Convex, ánh xạ danh tính và kiểm soát truy cập. Sử dụng cho đăng nhập, nhà cung cấp xác thực, bảng người dùng, hàm được bảo vệ hoặc vai trò trong ứng dụng Convex.
developmentdatabaseapi
convex-quickstart
get-convex
Tạo hoặc thêm Convex vào ứng dụng. Dùng cho các dự án Convex mới, npm create convex@latest, thiết lập frontend, biến môi trường, hoặc lần chạy npx convex dev đầu tiên.
developmentdatabase
convex-migration-helper
get-convex
Lập kế hoạch di chuyển lược đồ và dữ liệu Convex với widen-migrate-narrow và @convex-dev/migrations. Sử dụng cho các thay đổi lược đồ gây gián đoạn, backfill, định hình lại bảng hoặc triển khai không thời gian chết.
developmentdatabase
convex-create-component
get-convex
Xây dựng các thành phần Convex có thể tái sử dụng với bảng cô lập và API hướng ứng dụng. Sử dụng cho các thành phần mới, mô-đun backend tái sử dụng, tích hợp hoặc công việc ranh giới thành phần.
developmentdatabase
convex-migrate
get-convex
Di chuyển schema + dữ liệu backfill trên ứng dụng Convex đã triển khai bằng @convex-dev/migrations.
developmentdatabase
convex-optimize
get-convex
Kiểm tra và tối ưu hóa một ứng dụng Convex hiện có: bảo mật, khả năng mở rộng, nâng cấp, khả năng quan sát.