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managing-constructor-io

Use when working with Constructor Io — constructor.io product search and discovery platform management including catalog sync, search configuration, autosuggest, browse, recommendations, quizzes, and A/B testing. Covers catalog health, search performance, conversion tracking, and personalization effectiveness.

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Constructor.io Management Skill

Monitor and manage Constructor.io product discovery and search platform.

MANDATORY: Discovery-First Pattern

Always discover catalog status and search configuration before querying analytics.

Phase 1: Discovery

#!/bin/bash
CIO_API="https://ac.cnstrc.com"
CIO_MGMT="https://api.constructor.io/v2"
AUTH="Authorization: Basic $(echo -n "${CONSTRUCTOR_API_TOKEN}:" | base64)"

echo "=== Catalog Status ==="
curl -s -H "$AUTH" "$CIO_MGMT/catalogs" | \
  jq -r '.catalogs[] | "\(.name) | Items: \(.item_count) | Last Sync: \(.last_sync_at)"' 2>/dev/null || echo "Check catalog via dashboard"

echo ""
echo "=== Sections ==="
curl -s -H "$AUTH" "$CIO_MGMT/sections" | \
  jq -r '.sections[] | "\(.name) | Display: \(.display_name) | Items: \(.item_count)"' 2>/dev/null

echo ""
echo "=== Search Configuration ==="
curl -s -H "$AUTH" "$CIO_MGMT/search_configurations" | \
  jq -r '.[] | "\(.name) | Enabled: \(.enabled) | Filters: \(.filter_count // "N/A")"' 2>/dev/null || echo "Check search config via dashboard"

echo ""
echo "=== Recommendation Pods ==="
curl -s -H "$AUTH" "$CIO_MGMT/recommendation_pods" | \
  jq -r '.pods[] | "\(.pod_id) | Type: \(.strategy) | Active: \(.active)"' 2>/dev/null || echo "Check recommendation pods via dashboard"

echo ""
echo "=== Search Health Check ==="
curl -s "$CIO_API/autocomplete/${CONSTRUCTOR_SEARCH_KEY}?query=test&num_results=1" | \
  jq -r '"Autosuggest API: \(if .sections then "OK" else "Error" end)"'

Phase 1 outputs: Catalog status, sections, search config, recommendation pods

Phase 2: Analysis

#!/bin/bash
echo "=== Search Performance Test ==="
curl -s "$CIO_API/search/${CONSTRUCTOR_SEARCH_KEY}?query=shirt&num_results=5&section=Products" | \
  jq -r '"Results: \(.response.total_num_results)\nFacets: \(.response.facets | length)\nSort Options: \(.response.sort_options | length)\nLatency: \(.request.processing_time_ms // "N/A")ms"'

echo ""
echo "=== Autocomplete Test ==="
curl -s "$CIO_API/autocomplete/${CONSTRUCTOR_SEARCH_KEY}?query=sh&num_results=5" | \
  jq -r '.sections | to_entries[] | "\(.key): \(.value | length) suggestions"'

echo ""
echo "=== Browse Performance ==="
curl -s "$CIO_API/browse/${CONSTRUCTOR_SEARCH_KEY}/group_id/all?num_results=1" | \
  jq -r '"Browse Results: \(.response.total_num_results // "N/A")\nGroups: \(.response.groups | length // "N/A")"' 2>/dev/null

echo ""
echo "=== A/B Tests ==="
curl -s -H "$AUTH" "$CIO_MGMT/ab_tests" | \
  jq -r '.ab_tests[] | "\(.name) | Status: \(.status) | Start: \(.start_date) | End: \(.end_date)"' 2>/dev/null || echo "Check A/B tests via dashboard"

echo ""
echo "=== Quizzes ==="
curl -s -H "$AUTH" "$CIO_MGMT/quizzes" | \
  jq -r '.quizzes[] | "\(.quiz_id) | Name: \(.name) | Active: \(.active)"' 2>/dev/null || echo "No quizzes configured"

Output Format

CONSTRUCTOR.IO STATUS
=====================
Catalog: {items} items | Last Sync: {time}
Sections: {count}
Search API: {status} ({latency}ms)
Autosuggest: {status}
Recommendation Pods: {active}/{total}
A/B Tests: {active}/{total}
Quizzes: {count}
Issues: {list_of_warnings}

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

  • API key vs Token: Search key for client-side queries; API token for management
  • Catalog sync: Full syncs can take time — use delta updates for large catalogs
  • Sections: Products vs Content vs custom sections — query the right section
  • Personalization: Requires behavioral tracking SDK integration to work effectively

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