make
Make (Integromat) API for automation. Use when user mentions "Make", "Integromat", "automation", or workflow building.
What this skill does
## Troubleshooting
If requests fail, run `zero doctor check-connector --env-name MAKE_TOKEN` or `zero doctor check-connector --url https://eu1.make.com/api/v2/users/me --method GET`
## How to Use
All examples below assume you have `MAKE_TOKEN` set. Authentication uses `Token` scheme in the Authorization header.
### 1. Get Current User Info
Retrieve information about the authenticated user.
```bash
curl -s "https://eu1.make.com/api/v2/users/me" --header "Authorization: Token $MAKE_TOKEN" | jq .
```
### 2. List Organizations
Retrieve all organizations the user belongs to.
```bash
curl -s "https://eu1.make.com/api/v2/organizations" --header "Authorization: Token $MAKE_TOKEN" | jq '.organizations'
```
### 3. List Teams
Get all teams in an organization. Replace `ORG_ID` with the organization ID.
```bash
curl -s "https://eu1.make.com/api/v2/organizations/ORG_ID/teams" --header "Authorization: Token $MAKE_TOKEN" | jq '.teams'
```
### 4. List Scenarios
Retrieve all scenarios for a team. Replace `TEAM_ID` with the team ID.
```bash
curl -s "https://eu1.make.com/api/v2/scenarios?teamId=TEAM_ID" --header "Authorization: Token $MAKE_TOKEN" | jq '.scenarios[] | {id, name, isEnabled, scheduling}'
```
Paginate with `pg[offset]` and `pg[limit]`:
```bash
curl -s "https://eu1.make.com/api/v2/scenarios?teamId=TEAM_ID&pg%5Boffset%5D=0&pg%5Blimit%5D=20" --header "Authorization: Token $MAKE_TOKEN" | jq '.scenarios[] | {id, name}'
```
### 5. Get Scenario Details
Retrieve details of a specific scenario. Replace `SCENARIO_ID` with the scenario ID.
```bash
curl -s "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID" --header "Authorization: Token $MAKE_TOKEN" | jq '.scenario'
```
### 6. Create a Scenario
Create a new scenario in a team.
Write to `/tmp/make_request.json`:
```json
{
"teamId": 123,
"name": "My New Scenario",
"blueprint": "{\"name\":\"My New Scenario\",\"flow\":[],\"metadata\":{\"version\":1}}"
}
```
Then run:
```bash
curl -s -X POST "https://eu1.make.com/api/v2/scenarios" --header "Content-Type: application/json" --header "Authorization: Token $MAKE_TOKEN" -d @/tmp/make_request.json | jq .
```
### 7. Update a Scenario
Update scenario properties (name, scheduling, etc.).
Write to `/tmp/make_request.json`:
```json
{
"name": "Updated Scenario Name"
}
```
Then run:
```bash
curl -s -X PATCH "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID" --header "Content-Type: application/json" --header "Authorization: Token $MAKE_TOKEN" -d @/tmp/make_request.json | jq .
```
### 8. Start a Scenario
Activate a scenario so it runs on its schedule.
```bash
curl -s -X POST "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID/start" --header "Authorization: Token $MAKE_TOKEN" | jq .
```
### 9. Stop a Scenario
Deactivate a running scenario.
```bash
curl -s -X POST "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID/stop" --header "Authorization: Token $MAKE_TOKEN" | jq .
```
### 10. Run a Scenario On Demand
Execute a scenario immediately. The scenario must be active.
```bash
curl -s -X POST "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID/run" --header "Content-Type: application/json" --header "Authorization: Token $MAKE_TOKEN" -d '{}' | jq .
```
Run with input data:
Write to `/tmp/make_request.json`:
```json
{
"data": {
"key1": "value1",
"key2": "value2"
}
}
```
Then run:
```bash
curl -s -X POST "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID/run" --header "Content-Type: application/json" --header "Authorization: Token $MAKE_TOKEN" -d @/tmp/make_request.json | jq .
```
### 11. Clone a Scenario
Duplicate an existing scenario.
Write to `/tmp/make_request.json`:
```json
{
"name": "Cloned Scenario",
"teamId": 123
}
```
Then run:
```bash
curl -s -X POST "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID/clone" --header "Content-Type: application/json" --header "Authorization: Token $MAKE_TOKEN" -d @/tmp/make_request.json | jq .
```
### 12. Delete a Scenario
Remove a scenario permanently.
```bash
curl -s -X DELETE "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID" --header "Authorization: Token $MAKE_TOKEN" | jq .
```
### 13. Get Scenario Usage
Retrieve 30-day usage analytics (operations, data transfer, centicredits).
```bash
curl -s "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID/usage" --header "Authorization: Token $MAKE_TOKEN" | jq .
```
### 14. Get Scenario Logs
Retrieve execution logs for a scenario.
```bash
curl -s "https://eu1.make.com/api/v2/scenarios/SCENARIO_ID/logs" --header "Authorization: Token $MAKE_TOKEN" | jq '.scenarioLogs[] | {id, status, duration, operations}'
```
### 15. List Connections
Retrieve all connections for a team.
```bash
curl -s "https://eu1.make.com/api/v2/connections?teamId=TEAM_ID" --header "Authorization: Token $MAKE_TOKEN" | jq '.connections[] | {id, name, accountName, accountType}'
```
### 16. List Webhooks (Hooks)
Get all webhooks for a team.
```bash
curl -s "https://eu1.make.com/api/v2/hooks?teamId=TEAM_ID" --header "Authorization: Token $MAKE_TOKEN" | jq '.hooks[] | {id, name, url, enabled}'
```
### 17. List Data Stores
Get all data stores for a team.
```bash
curl -s "https://eu1.make.com/api/v2/data-stores?teamId=TEAM_ID" --header "Authorization: Token $MAKE_TOKEN" | jq '.dataStores[] | {id, name, records, size}'
```
### 18. Get Data Store Records
Retrieve records from a data store.
```bash
curl -s "https://eu1.make.com/api/v2/data-stores/DATASTORE_ID/data" --header "Authorization: Token $MAKE_TOKEN" | jq '.records'
```
### 19. Create Data Store Record
Add a record to a data store.
Write to `/tmp/make_request.json`:
```json
{
"key": "record-key-1",
"data": {
"field1": "value1",
"field2": "value2"
}
}
```
Then run:
```bash
curl -s -X POST "https://eu1.make.com/api/v2/data-stores/DATASTORE_ID/data" --header "Content-Type: application/json" --header "Authorization: Token $MAKE_TOKEN" -d @/tmp/make_request.json | jq .
```
### 20. List Scenario Folders
Get all scenario folders for a team.
```bash
curl -s "https://eu1.make.com/api/v2/scenarios-folders?teamId=TEAM_ID" --header "Authorization: Token $MAKE_TOKEN" | jq '.scenariosFolders[] | {id, name}'
```
## Guidelines
1. **Zone selection**: Always use the correct zone base URL matching your Make account. Check your dashboard URL to determine your zone (eu1, eu2, us1, or us2)
2. **Token scopes**: API tokens require specific scopes. Ensure your token has the necessary scopes for the endpoints you use
3. **Pagination**: Use `pg[offset]` and `pg[limit]` query parameters for paginated endpoints. URL-encode brackets as `%5B` and `%5D`
4. **Column selection**: Use `cols[]` parameter to request only specific fields in responses
5. **Team context**: Most resources belong to a team. Include `teamId` in queries to scope results
6. **Scenario activation**: Scenarios must be active (started) before they can be run on demand
7. **Blueprint format**: When creating scenarios, the blueprint is passed as a JSON string (stringified JSON within JSON)
8. **Rate limits**: Make enforces API rate limits. Implement backoff if you receive HTTP 429 responses
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.