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Pipeline run

e5e835dc-12fc-4002-9910-f3edfa8e60c8

Pipeline LLM cost (USD)
API 1: $0.0000 API 2: $0.0000 API 3: $0.0000 Total: $0.0000

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (0)
No skills extracted
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Status: extract_from_jd_done Created: 2026-05-27T16:18:08.713357Z Updated: 2026-05-27T16:18:08.713357Z
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

No chosen role stored for this run.

Job description

Observing the performance of live apps and work on optimizing them at the code level. Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance. Performing unit and instrumentation tests on code.
Android foundations. The most basic building block of Android development is a programming language. ...
Android interactivity. ...
Android UI. ...
Implementing navigation. ...
Android testing. ...
Working with data. ...
Notifications. ...
Firebase on Android.

Library artifacts (this run)

No artifact rows for this run.
API 1 — extract-from-jd click to toggle
{
  "final_skills": [],
  "jd_role": {
    "display_name": "Observing the performance of live apps and work on optimizing them at the code level. Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance. Performing unit and instrumentation tests on code.",
    "rationale": "JD body too sparse: 36 words, 0 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
    "role_aliases": [],
    "role_archetype": "Other",
    "slug": ""
  },
  "nano_parsed": null,
  "rejected": true,
  "rejection_reason": "Sparse JD: JD body too sparse: 36 words, 0 tech-marker hits \u2014 needs more detail (\u003e=80 words or \u003e=2 tech markers) for confident classification",
  "run_id": null,
  "stage3_signals": null,
  "stage4_decision": null,
  "stage5_updates": null
}
API 2 — extract-details
{}
API 3 — final-role-output
{}