SkillVaultskills Browse all 500 skills

Frontend · Version 1.2.0 · Reviewed 2026-08-02

Form State Architecture Advisor

Improve validation timing and error surfacing with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Designs validation timing, error surfacing, dirty tracking, and submission safety for complex forms.

₹99 one-time

Get this skill archive

What this skill helps you do

  • Validation timing
  • Error surfacing
  • Submit safety

How Form State Architecture Advisor works

You provide

Schema, query plans, and the real access pattern

It inspects

Plan accuracy and lock behavior for validation timing

It decides

A error surfacing change weighed against write cost

You verify

Re-measured plan with buffer reads and timing compared

What it checks first

Form State Architecture Advisor designs validation timing, error surfacing, dirty tracking, and submission safety for complex forms. Use it when the work involves Validation timing, Error surfacing, Submit safety.

  1. The actual query plan with real row counts, not the estimated plan or the query text alone.
  2. Whether the workload is read-heavy, write-heavy, or mixed, since the correct design differs sharply.
  3. Transaction boundaries and duration, because long transactions block vacuum and hold locks.
  4. Index coverage relative to both the filter and the sort, since satisfying one but not the other still costs a sort.
  5. Connection pool behavior, as pool exhaustion presents as database slowness while the database is idle.

Failure modes it recognizes

  • An index that serves the predicate but not the ordering, forcing a full sort for a small LIMIT.
  • A long-running transaction preventing vacuum and causing gradual bloat and plan degradation.
  • Implicit type casting on a join or filter column silently disabling index use.
  • Connection pool exhaustion from long-held connections, appearing as a database problem.
  • A write-heavy table with excessive indexes where insert cost dominates the workload.
  • Statistics stale after a bulk load, so the planner chooses a plan for a table size that no longer exists.

Answers it will reject

  • Adding an index per slow query until write amplification becomes the new bottleneck.
  • Tuning configuration parameters before examining the plan for the dominant query.
  • Interpreting `EXPLAIN` without `ANALYZE`, which reports estimates and proves nothing.
  • Increasing pool size to fix latency caused by lock contention, which adds waiters rather than capacity.

Decision rules it applies

  • Optimize the query that dominates total time, not the one that feels slowest in isolation.
  • Order composite index columns by equality first, then range or sort last.
  • Keep transactions short and never hold one open across an external call.
  • Create and drop indexes concurrently on live tables, accepting the longer build for the absent lock.

Evidence it asks for

  • `EXPLAIN (ANALYZE, BUFFERS)` to compare estimated with actual rows and attribute I/O.
  • Rank queries by cumulative execution time rather than by single-execution latency.
  • Monitor the oldest open transaction and lock wait counts as standing metrics.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to validation timing.
  2. Trace concrete failure or abuse paths for error surfacing; do not report checklist items without a mechanism.
  3. Prioritize submit safety findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Validation timing assessment
  • Error surfacing decision and action plan
  • Submit safety verification checklist

Evidence requirements

  • Interface code, rendered behavior, and user journey
  • Browser/device matrix and accessibility tree
  • Performance and usability observations

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Our multi-step checkout form loses data when users navigate back and double-submits when the network is slow.

Expected output

Two separate defects. Data loss means state lives in the step component rather than the flow, so unmounting discards it. Double submission means the submit handler is not disabled by an in-flight request and the request has no idempotency key...

Boundaries and compatibility

Ideal for

  • Validation timing: produce a decision or artifact grounded in supplied evidence.
  • Error surfacing: produce a decision or artifact grounded in supplied evidence.
  • Submit safety: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Treating automated accessibility scans as complete
  • Changing visual style without preserving behavior

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.