productlane
Productlane API for feedback management. Use when user mentions "Productlane", "feedback", "feature request", or product insights.
What this skill does
## Troubleshooting
If requests fail, run `zero doctor check-connector --env-name PRODUCTLANE_TOKEN` or `zero doctor check-connector --url https://productlane.com/api/v1/workspaces --method GET`
## Workspaces
### Get Workspace
Retrieve workspace information. Replace `<workspace-id>` with the actual workspace ID:
```bash
curl -s "https://productlane.com/api/v1/workspaces/<workspace-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
## Companies
### List Companies
```bash
curl -s "https://productlane.com/api/v1/companies?take=20" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### List Companies with Filters
Filter by name or domain:
```bash
curl -s "https://productlane.com/api/v1/companies?name=Acme&take=10" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Get Company by ID
Replace `<company-id>` with the actual company ID:
```bash
curl -s "https://productlane.com/api/v1/companies/<company-id>?groupUpvotes=true" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Create Company
Write to `/tmp/productlane_request.json`:
```json
{
"name": "Acme Corp",
"domains": ["acme.com"],
"size": 50,
"revenue": 1000000
}
```
Then run:
```bash
curl -s -X POST "https://productlane.com/api/v1/companies" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Update Company
Write to `/tmp/productlane_request.json`:
```json
{
"name": "Acme Corporation",
"size": 100
}
```
Then run. Replace `<company-id>` with the actual company ID:
```bash
curl -s -X PATCH "https://productlane.com/api/v1/companies/<company-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Delete Company
Replace `<company-id>` with the actual company ID:
```bash
curl -s -X DELETE "https://productlane.com/api/v1/companies/<company-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Get Linear Customer Options
Get available Linear customer statuses and tiers. Requires Linear integration with `customer:read` or `customer:write` scope:
```bash
curl -s "https://productlane.com/api/v1/companies/linear-options" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
## Contacts
### List Contacts
```bash
curl -s "https://productlane.com/api/v1/contacts?take=20" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Get Contact by ID or Email
Replace `<contact-id-or-email>` with the actual contact ID or email address:
```bash
curl -s "https://productlane.com/api/v1/contacts/<contact-id-or-email>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Create Contact
Link to a company using `companyId` (recommended), `companyName`, or `companyExternalId` — these are mutually exclusive.
Write to `/tmp/productlane_request.json`:
```json
{
"email": "[email protected]",
"name": "Jane Doe",
"companyId": "<company-id>"
}
```
Then run:
```bash
curl -s -X POST "https://productlane.com/api/v1/contacts" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Update Contact
Write to `/tmp/productlane_request.json`:
```json
{
"name": "Jane Smith"
}
```
Then run. Replace `<contact-id>` with the actual contact ID:
```bash
curl -s -X PATCH "https://productlane.com/api/v1/contacts/<contact-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Delete Contact
Replace `<contact-id>` with the actual contact ID:
```bash
curl -s -X DELETE "https://productlane.com/api/v1/contacts/<contact-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
## Threads (Feedback)
### List Threads
```bash
curl -s "https://productlane.com/api/v1/threads?take=20" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### List Threads with Filters
Filter by state (`NEW`, `PROCESSED`), issue, or project:
```bash
curl -s "https://productlane.com/api/v1/threads?state=NEW&take=50" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Get Thread by ID
Replace `<thread-id>` with the actual thread ID:
```bash
curl -s "https://productlane.com/api/v1/threads/<thread-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Create Thread
Required fields: `title`, `text`, `contactEmail`, `painLevel`.
Write to `/tmp/productlane_request.json`:
```json
{
"title": "Feature request: Dark mode",
"text": "<p>It would be great to have a dark mode option for the dashboard.</p>",
"contactEmail": "[email protected]",
"actorName": "Jane Doe",
"painLevel": "MEDIUM"
}
```
**Pain level values:** `UNKNOWN`, `LOW`, `MEDIUM`, `HIGH`
Then run:
```bash
curl -s -X POST "https://productlane.com/api/v1/threads" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Update Thread
Write to `/tmp/productlane_request.json`:
```json
{
"title": "Feature request: Dark mode (updated)"
}
```
Then run. Replace `<thread-id>` with the actual thread ID:
```bash
curl -s -X PATCH "https://productlane.com/api/v1/threads/<thread-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Send Message to Thread
Send an email or Slack message to a thread. Replace `<thread-id>` with the actual thread ID:
Write to `/tmp/productlane_request.json`:
```json
{
"text": "Thank you for your feedback! We are working on this feature."
}
```
Then run:
```bash
curl -s -X POST "https://productlane.com/api/v1/threads/<thread-id>/messages" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
## Changelogs
### List Changelogs
Replace `<workspace-id>` with the actual workspace ID:
```bash
curl -s "https://productlane.com/api/v1/changelogs/<workspace-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Get Changelog
Replace `<workspace-id>` and `<changelog-id>` with the actual IDs:
```bash
curl -s "https://productlane.com/api/v1/changelogs/<workspace-id>/<changelog-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Create Changelog
Write to `/tmp/productlane_request.json`:
```json
{
"title": "March 2026 Update",
"content": "## New Features\n\n- Dark mode support\n- Improved search\n- New API endpoints"
}
```
Then run:
```bash
curl -s -X POST "https://productlane.com/api/v1/changelogs" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Update Changelog
Write to `/tmp/productlane_request.json`:
```json
{
"title": "March 2026 Update (Revised)",
"content": "## New Features\n\n- Dark mode support\n- Improved search\n- New API endpoints\n- Bug fixes"
}
```
Then run. Replace `<changelog-id>` with the actual changelog ID:
```bash
curl -s -X PATCH "https://productlane.com/api/v1/changelogs/<changelog-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN" --header "Content-Type: application/json" -d @/tmp/productlane_request.json
```
### Delete Changelog
Replace `<changelog-id>` with the actual changelog ID:
```bash
curl -s -X DELETE "https://productlane.com/api/v1/changelogs/<changelog-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
## Portal / Roadmap
### List Projects
Replace `<workspace-id>` with the actual workspace ID. The workspace must have its portal published:
```bash
curl -s "https://productlane.com/api/v1/projects/<workspace-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### Get Project
Replace `<workspace-id>` and `<project-id>` with the actual IDs:
```bash
curl -s "https://productlane.com/api/v1/projects/<workspace-id>/<project-id>" --header "Authorization: Bearer $PRODUCTLANE_TOKEN"
```
### List Issues
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.