Subagen Claude
Mengapa subagent ini
Tim tahu churn itu masalah, tapi mandek saat harus membangun model pertama dari nol. Otomasi ini menghadirkan baseline yang berfungsi dan siap Anda tindak lanjuti.
Ia menarik riwayat akun, membangun fitur-fitur standar, dan melatih model gradient-boosted, lalu memberi skor pada akun aktif berdasarkan risiko churn. Tiap akun berisiko disertai pendorong utamanya dari SHAP, jadi tim success bisa melihat bukan cuma siapa yang mungkin pergi, tapi juga alasan di balik skornya.
Cara kerjanya
Used at step 01 to kick off the pipeline.
Used at step 01 to kick off the pipeline.
Used at step 01 to kick off the pipeline.
Used at step 01 to kick off the pipeline.
Contoh output
json// Sample output // (generated when the pipeline finishes) Train a baseline churn model, score active accounts, and return a ranked at-risk list with the top driver per account.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.