Three Things to Settle Before Integration
Before wiring phone automation into Feishu, a ticketing system, a school platform or a test platform, do not start with code. Three questions decide whether the project holds up: who triggers the task, how results come back, and who owns the failure.
1. How Tasks Are Triggered
There are usually three sources: a person sending a command in a chat tool (for example remote control of Android automation via Feishu), an event from a business system, or a scheduled job. Make sure the caller passes a unique task ID, otherwise concurrent runs cannot be reconciled.
2. How Results Come Back
Write the outcome back to the business system: success or failure, screenshot or recording, duration, and device ID. Agree on one callback shape so the business side never has to know how the phone side is implemented.
3. How Failures Are Handled
Offline devices, redesigned screens and recognition errors will all break a run. A practical pattern such as the script failure and screen recognition skill pack puts retries, timeouts and manual takeover into the flow, so bad data never reaches the business system.
API vs Skill Packs: What's the Difference
The two paths are not exclusive. A common sequence is to prove the flow with a skill pack first, then connect the capability to your own system through an API.
- API: called directly by your business system. Fits teams with an existing backend that need event-driven runs and unified authentication. More work up front, but cleaner reconciliation and monitoring.
- Skill packs: wrap common actions into reusable modules. Fits flows that are still changing or teams that want to validate quickly, with low change cost.
- How to choose: check whether the trigger is human or automated, whether results must be written to a database, and what the long-term maintenance load looks like.
Integration Steps: From Sandbox to Gradual Rollout
Step one: pick one real business flow and cover only one or two high-frequency actions as a minimal loop, instead of every scenario at once.
Step two: in a test environment, verify that trigger, execution and callback all work, and focus on the failure branches. If elements are missing or recognition is unstable, review common causes in automation script failure troubleshooting before changing the flow itself.
Step three: roll it out to one team first, and track duration, success rate and the number of manual interventions to judge whether wider use is worth it.
Step four: once it is stable, connect more systems and turn the lessons into skill packs or interface docs to cut repeated back-and-forth.
Acceptance Checklist
- Every task has a unique ID so the caller and the runner can reconcile.
- Callbacks share one shape and support idempotency, so repeat notifications do not create duplicate records.
- Failures have a retry limit, a timeout alert and a manual takeover entry point.
- Key results are traceable, with screenshots or logs mapping to a specific device and time.
- Permissions and accounts are separated, and test and production environments stay apart.