Loreal API Search

API Search

Trigger: Use this skill whenever the user mentions "API search", "find API", "API portal", "API information", "API spec", "API schema", "Swagger", "OpenAPI", or asks about available APIs.

Scope

Search and retrieve API information from L'Oréal's API Portal. Use it for:

• Searching for APIs by name pattern
• Retrieving detailed API information and metadata
• Fetching Swagger/OpenAPI specifications and schemas
• Discovering available APIs in the portal
• Getting complete API endpoint definitions and request/response formats

Authentication

IMPORTANT: API Portal access requires Azure OAuth authentication.

Option 1: Using Python Scripts (Recommended)

Generate and save the token once:

~/.claude/skills/btdp-api-search/scripts/run.sh get_token --save

This saves the token to ~/.claude/credentials/api_portal_token for reuse by other scripts.

Option 2: Manual curl Commands

For direct curl usage, generate the token inline:

# Get token and use directly
ACCESS_TOKEN=$(~/.claude/skills/btdp-api-search/scripts/run.sh get_token)

# Or read from saved file
ACCESS_TOKEN=$(cat ~/.claude/credentials/api_portal_token)

Configuration:

• Token is retrieved from Google Secret Manager (itg-btdpsecurity-gbl-ww-pd/btdp-srt-azure_app-pd)
• OAuth URL: https://api.loreal.net/v1/oauth20/token
• Scope: api://32a1cb44-61cd-4c6b-bd8e-1ecff52de813/.default

Service URL

API_BASE_URL="https://api.loreal.net/global/it4it/coe/v1/apiinfos/api"

Workflow Guide

Decision Tree

1. User wants to search for APIs by name/pattern → Use search_api script or curl command → Save results to file for large result sets

2. User wants detailed info about a specific API → Use get_api_info script or curl command → Returns metadata: title, description, version, category, etc.

3. User wants OpenAPI/Swagger specification or API schema → Use get_api_spec script or curl command → Save to file (specs can be large) → Contains complete endpoint definitions, request/response schemas, parameters

4. User wants to browse all APIs → Use search_api with pattern .* to match all → MUST save to file (9000+ APIs)

Operations

1. Search for APIs by Pattern

Using Python Script (Recommended):

# Search for APIs containing "semantic" in the name
~/.claude/skills/btdp-api-search/scripts/run.sh search_api "semantic"

# Search with case-insensitive pattern
~/.claude/skills/btdp-api-search/scripts/run.sh search_api "btdp.*service"

# Save results to file
~/.claude/skills/btdp-api-search/scripts/run.sh search_api "semantic" --output /tmp/apis.json

Using curl:

ACCESS_TOKEN=$(cat ~/.claude/credentials/api_portal_token)

# Get all APIs (must save to file - large dataset)
curl -s -X GET \
  "${API_BASE_URL}/api-datas?top=9000&skip=0&environment=prd" \
  -H "Authorization: Bearer ${ACCESS_TOKEN}" \
  > /tmp/all_apis.json

# Count total APIs
jq '.data | length' /tmp/all_apis.json

# Search locally with jq
jq '.data[] | select(.apiName | test("semantic"; "i"))' /tmp/all_apis.json

Best Practice: Always save search results to file when expecting many matches:

~/.claude/skills/btdp-api-search/scripts/run.sh search_api ".*" --output /tmp/all_apis.json
COUNT=$(jq '.data | length' /tmp/all_apis.json 2>/dev/null || jq 'length' /tmp/all_apis.json)
echo "Found ${COUNT} APIs. Results saved to /tmp/all_apis.json"

2. Get API Information

Using Python Script:

# Get info for a specific API
~/.claude/skills/btdp-api-search/scripts/run.sh get_api_info "global-it4it-btdp-semanticservices-v1"

# Save to file
~/.claude/skills/btdp-api-search/scripts/run.sh get_api_info "global-it4it-btdp-semanticservices-v1" --output /tmp/api_info.json

Using curl:

ACCESS_TOKEN=$(cat ~/.claude/credentials/api_portal_token)
API_NAME="global-it4it-btdp-semanticservices-v1"

curl -s -X GET \
  "${API_BASE_URL}/api-datas?top=9000&skip=0&apiName=${API_NAME}&environment=prd" \
  -H "Authorization: Bearer ${ACCESS_TOKEN}" \
  | jq .

Response Format:

{
  "data": [
    {
      "apiName": "global-it4it-btdp-semanticservices-v1",
      "apiTitle": "BTDP Semantic Services API",
      "apiDescription": "API for semantic services...",
      "apiVersion": "v1",
      "apiCategory": "data-services",
      "baseUrl": "https://api.loreal.net/...",
      ...
    }
  ]
}

3. Get API Specification/Schema (Swagger/OpenAPI)

IMPORTANT: API specifications can be very large (10k+ lines). Always save to file.

This operation retrieves the complete OpenAPI schema including:

• All available endpoints and HTTP methods
• Request/response schemas and data models
• Authentication requirements
• Parameter definitions
• Error responses

Using Python Script:

# Get spec and save to file
~/.claude/skills/btdp-api-search/scripts/run.sh get_api_spec "global-it4it-btdp-semanticservices-v1" --output /tmp/api_spec.json

Using curl:

ACCESS_TOKEN=$(cat ~/.claude/credentials/api_portal_token)
API_NAME="global-it4it-btdp-semanticservices-v1"

curl -s -X GET \
  "${API_BASE_URL}/api-swagger?top=9000&skip=0&apiName=${API_NAME}&environment=prd" \
  -H "Authorization: Bearer ${ACCESS_TOKEN}" \
  > /tmp/api_spec.json

# Check spec size
wc -l /tmp/api_spec.json

Working with Specs:

# Extract endpoints
jq '.data[].swagger.paths | keys' /tmp/api_spec.json

# Get specific endpoint details
jq '.data[].swagger.paths["/v1/endpoint"]' /tmp/api_spec.json

# Extract all POST endpoints
jq '.data[].swagger.paths | to_entries | map(select(.value.post)) | from_entries' /tmp/api_spec.json

Common Use Cases

Use Case 1: Find APIs Related to a Domain

# Search for all semantic-related APIs
~/.claude/skills/btdp-api-search/scripts/run.sh search_api "semantic" --output /tmp/semantic_apis.json

# Show summary
jq '.[] | {apiName, apiTitle, apiVersion}' /tmp/semantic_apis.json

Use Case 2: Get Complete API Documentation

API_NAME="global-it4it-btdp-semanticservices-v1"

# Step 1: Get API information
~/.claude/skills/btdp-api-search/scripts/run.sh get_api_info "${API_NAME}" --output "/tmp/${API_NAME}_info.json"

# Step 2: Get API specification
~/.claude/skills/btdp-api-search/scripts/run.sh get_api_spec "${API_NAME}" --output "/tmp/${API_NAME}_spec.json"

# Step 3: Extract key info
echo "=== API Information ==="
jq '.data[0] | {apiName, apiTitle, apiDescription, apiVersion}' "/tmp/${API_NAME}_info.json"

echo ""
echo "=== Available Endpoints ==="
jq '.data[0].swagger.paths | keys' "/tmp/${API_NAME}_spec.json"

Use Case 3: Discover APIs by Category

# Get all APIs
~/.claude/skills/btdp-api-search/scripts/run.sh search_api ".*" --output /tmp/all_apis.json

# Group by category
jq 'group_by(.apiCategory) | map({category: .[0].apiCategory, count: length})' /tmp/all_apis.json

# List APIs in specific category
jq '.[] | select(.apiCategory == "data-services") | {apiName, apiTitle}' /tmp/all_apis.json

Use Case 4: Extract Endpoint Information

API_NAME="global-it4it-btdp-semanticservices-v1"

# Get spec
~/.claude/skills/btdp-api-search/scripts/run.sh get_api_spec "${API_NAME}" --output /tmp/spec.json

# Extract all endpoints with methods
jq -r '.data[0].swagger.paths | to_entries[] | "\(.key): \(.value | keys | join(", "))"' /tmp/spec.json

# Get endpoint details
jq '.data[0].swagger.paths["/v1/search"]' /tmp/spec.json

File Management Best Practices

1. Search Results: Save to /tmp/ for inspection

   ~/.claude/skills/btdp-api-search/scripts/run.sh search_api "pattern" --output /tmp/search_results.json
   

2. Large Datasets: Always check size before loading to context

   wc -l /tmp/all_apis.json
   head -20 /tmp/all_apis.json  # Show first 20 lines
   

3. Filtering: Use jq for post-processing

   jq '.[] | select(.apiVersion == "v1")' /tmp/all_apis.json
   

4. Count Results: Report counts before showing data

   COUNT=$(jq 'length' /tmp/search_results.json)
   echo "Found ${COUNT} APIs matching the pattern"
   

Response Handling

Success Response (200)

{
  "data": [
    { "apiName": "...", "apiTitle": "...", ... }
  ],
  "totalCount": 1234
}

Error Response (401)

Token expired or invalid. Regenerate:

~/.claude/skills/btdp-api-search/scripts/run.sh get_token --save

Error Response (404)

API not found. Verify the API name is correct.

Troubleshooting

Token Issues:

# Test token validity
ACCESS_TOKEN=$(cat ~/.claude/credentials/api_portal_token)
curl -s -X GET \
  "${API_BASE_URL}/api-datas?top=1&skip=0&environment=prd" \
  -H "Authorization: Bearer ${ACCESS_TOKEN}"

# If error, regenerate
~/.claude/skills/btdp-api-search/scripts/run.sh get_token --save

Script Errors:

# Check uv is available
which uv

# Manually check dependencies
cd ~/.claude/skills/btdp-api-search/scripts
cat pyproject.toml

API Not Found:

Search for similar names:

~/.claude/skills/btdp-api-search/scripts/run.sh search_api "partial.*name" --output /tmp/results.json
jq '.[] | .apiName' /tmp/results.json

Summary Workflow

When the user asks about APIs:

1. Searching: Use search_api script with regex pattern

   • Always save large results to file
   • Report count before showing data

2. Getting Info: Use get_api_info for metadata

   • Can output directly for single API
   • Save to file if checking multiple

3. Getting Spec: Use get_api_spec for OpenAPI docs

   • Always save to file (large)
   • Use jq to extract relevant sections

4. Authentication: Scripts handle automatically

   • Generate token once with --save
   • Token reused from ~/.claude/credentials/api_portal_token

5. Best Practices:

   • Save large outputs to /tmp/ files
   • Count results before displaying
   • Use jq for filtering and extraction
   • Check file size with wc -l