Skip to content
cccskills
FreePublished on GitHub

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.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md5.3 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.

The English summary is being prepared. Showing the original description.

cloudthinker-ai/CloudSkills6Updated Apr 5, 2026

Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.

The English summary is being prepared. Showing the original description.

cloudthinker-ai/CloudSkills6Updated Apr 5, 2026

Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.

The English summary is being prepared. Showing the original description.

cloudthinker-ai/CloudSkills6Updated Apr 5, 2026

Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.

The English summary is being prepared. Showing the original description.

cloudthinker-ai/CloudSkills6Updated Apr 5, 2026

Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.

The English summary is being prepared. Showing the original description.

cloudthinker-ai/CloudSkills6Updated Apr 5, 2026

Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.

The English summary is being prepared. Showing the original description.

cloudthinker-ai/CloudSkills6Updated Apr 5, 2026

See all skills by cloudthinker-ai

Report a problem with this skill