Update to GetMattered

SKILL.md text changes

− removed · + added

--- before
+++ after
@@ -8,15 +8,15 @@
 1. Call `getmattered_get_applications` with `status: "waiting_for_review"` to list the review queue. It returns 20 per page, so pass `page` for more.
 2. For each application, show the job title, the company, the application id and the tracking link.
 3. To read one application in full, call `getmattered_get_applications` with `application_id`. It shows the tailored resume, the cover letter and the screening answers that will be sent.
-4. Wait for a clear decision on each application. Never approve on your own judgment. Before an approve, refine or re_prepare, call `getmattered_get_account` to check the plan and balance. Explain the application or AI-credit use and get approval for that action. Do not buy credits or upgrade the plan.
-5. Call `getmattered_review_application` with `decision` and `application_ids` (1 to 25 in one call, so a batch approve is one call). The decisions:
-   - "approve" submits each application to the employer under the user's name. It spends one application per job and cannot be undone.
-   - "reject" skips it. Nothing is sent and nothing is spent.
-   - "cancel" stops one that is still queued or preparing.
-   - "refine" rewrites one document. Pass `document_type` ("resume" or "cover_letter") and `instructions` with what to change, in the user's own words. It uses AI credits.
-   - "re_prepare" builds the documents again. Pass `steps` ("quality_gate", "company_intel", "tailor_resume", "translate", "cover_letter") to run only some of them.
-   - "set_stage" records how it is going. Pass `stage` ("applied", "callback", "phone_screen", "interview", "offered", "rejected" or "no_response").
-6. After a refine or a re_prepare, read the application again with `getmattered_get_applications` and `application_id`. Show the user the change before they approve.
+4. Wait for a clear decision on each application. Never approve on your own judgment. Before you approve, rewrite or prepare again, call `getmattered_get_account` to check the plan and balance. Explain the application or AI-credit use and get approval for that action. Do not buy credits or upgrade the plan.
+5. Each decision is its own tool. Every one takes `application_ids` (1 to 25 in one call, so a batch approve is one call):
+   - `getmattered_approve_applications` submits each application to the employer under the user's name. It spends one application per job and cannot be undone.
+   - `getmattered_reject_applications` skips it. Nothing is sent and nothing is spent.
+   - `getmattered_cancel_applications` stops one that is still queued or preparing.
+   - `getmattered_refine_application_documents` rewrites one document. Pass `document_type` ("resume" or "cover_letter") and `instructions` with what to change, in the user's own words. It uses AI credits.
+   - `getmattered_reprepare_applications` builds the documents again. Pass `steps` ("quality_gate", "company_intel", "tailor_resume", "translate", "cover_letter") to run only some of them.
+   - `getmattered_set_application_stage` records how it is going. Pass `stage` ("applied", "callback", "phone_screen", "interview", "offered", "rejected" or "no_response").
+6. After a rewrite or a new preparation, read the application again with `getmattered_get_applications` and `application_id`. Show the user the change before they approve.
 7. Report the result for each application as the tool returned it. When the system holds one back, say it was not sent.
 8. On a timeout or an error, call `getmattered_get_applications` before you retry. An approve that already went through comes back as already approved.
 9. Offer to check progress later with the track-applications skill.