williamlimasilva/integrate-context-matic

API Integration

When the user asks to integrate a third-party API or implement anything involving an external API or SDK, follow this workflow. Do not rely on your own knowledge for available APIs or their capabilities — always use the context-matic MCP server.

When to Apply

Apply this skill when the user:

• Asks to integrate a third-party API
• Wants to add a client or SDK for an external service
• Requests implementation that depends on an external API
• Mentions a specific API (e.g. PayPal, Twilio) and implementation or integration

Workflow

1. Ensure Guidelines and Skills Exist

1a. Detect the Project's Primary Language

Before checking for guidelines or skills, identify the project's primary programming language by inspecting the workspace:

| File / Pattern | Language | |---|---| | *.csproj, *.sln | csharp | | package.json with "typescript" dep or .ts files | typescript | | requirements.txt, pyproject.toml, *.py | python | | go.mod, *.go | go | | pom.xml, build.gradle, *.java | java | | Gemfile, *.rb | ruby | | composer.json, *.php | php |

Use the detected language in all subsequent steps wherever language is required.

1b. Check for Existing Guidelines and Skills

Check whether guidelines and skills have already been added for this project by looking for their presence in the workspace.

• {language}-conventions is the skill produced by add_skills.
• {language}-security-guidelines.md and {language}-test-guidelines.md are language-specific guideline files produced by add_guidelines.
• update-activity-workflow.md is a workflow guideline file produced by add_guidelines (it is not language-specific).
• Check these independently. Do not treat the presence of one set as proof that the other set already exists.
• If any required guideline files for this project are missing: Call add_guidelines.
• If {language}-conventions is missing for the project's language: Call add_skills.
• If all required guideline files and {language}-conventions already exist: Skip this step and proceed to step 2.

2. Discover Available APIs

Call fetch_api to find available APIs — always start here.

• Provide the language parameter using the language detected in step 1a.
• The response returns available APIs with their names, descriptions, and key values.
• Identify the API that matches the user's request based on the name and description.
• Extract the correct key for the user's requested API before proceeding. This key will be used for all subsequent tool calls related to that API.

If the requested API is not in the list:

• Inform the user that the API is not currently available in this plugin (context-matic) and stop.
• Request guidance from user on how to proceed with the API's integration.

3. Get Integration Guidance

• Provide ask with: language, key (from step 2), and your query.
• Break complex questions into smaller focused queries for best results:
  • "How do I authenticate?"
  • "How do I create a payment?"
  • "What are the rate limits?"

4. Look Up SDK Models and Endpoints (as needed)

These tools return definitions only — they do not call APIs or generate code.

• model_search — look up a model/object definition.
  • Provide: language, key, and an exact or partial case-sensitive model name as query (e.g. availableBalance, TransactionId).
• endpoint_search — look up an endpoint method's details.
  • Provide: language, key, and an exact or partial case-sensitive method name as query (e.g. createUser, get_account_balance).

5. Record Milestones

Call update_activity (with the appropriate milestone) whenever one of these is concretely reached in code or infrastructure — not merely mentioned or planned:

| Milestone | When to pass it | |---|---| | sdk_setup | SDK package is installed in the project (e.g. npm install, pip install, go get has run and succeeded). | | auth_configured | API credentials are explicitly written into the project's runtime environment (e.g. present in a .env file, secrets manager, or config file) and referenced in actual code. | | first_call_made | First API call code written and executed | | error_encountered | Developer reports a bug, error response, or failing call | | error_resolved | Fix applied and API call confirmed working |

Checklist

• [ ] Project's primary language detected (step 1a)
• [ ] add_guidelines called if guideline files were missing, otherwise skipped
• [ ] add_skills called if {language}-conventions was missing, otherwise skipped
• [ ] fetch_api called with correct language for the project
• [ ] Correct key identified for the requested API (or user informed if not found)
• [ ] update_activity called only when a milestone is concretely reached in code/infrastructure — never for questions, searches, or tool lookups
• [ ] update_activity called with the appropriate milestone at each integration milestone
• [ ] ask used for integration guidance and code samples
• [ ] model_search / endpoint_search used as needed for SDK details
• [ ] Project compiles after each code modification

Notes

• API not found: If an API is missing from fetch_api, do not guess at SDK usage — inform the user that the API is not currently available in this plugin and stop.
• update_activity and fetch_api: fetch_api is API discovery, not integration — do not call update_activity before it.