Nvidia-nim-unified-skill backend-worker

Python backend worker for CLI tools and API servers

install

source · Clone the upstream repo

git clone https://github.com/JithendraNara/nvidia-nim-unified-skill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/JithendraNara/nvidia-nim-unified-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.factory/skills/backend-worker" ~/.claude/skills/jithendranara-nvidia-nim-unified-skill-backend-worker && rm -rf "$T"

manifest: .factory/skills/backend-worker/SKILL.md

source content

Backend Worker

NOTE: Startup and cleanup are handled by

worker-base

. This skill defines the WORK PROCEDURE.

When to Use This Skill

Features involving Python CLI tools, Python scripting, or data processing. This skill handles:

CLI command implementation
API client code
Data processing and chunking
Output formatting

Work Procedure

1. Read Context

Read
```
mission.md
```
to understand feature requirements
Read existing
```
nim_router.py
```
structure
Understand current capabilities

2. Write Tests First (TDD)

Create

tests/test_<feature>.py

with failing tests before implementation.

3. Implement Feature

Add to appropriate module under
```
scripts/nim_router/
```
Follow existing code style
Add type hints and docstrings

4. Verify

Run tests:
```
pytest tests/ -v
```
Typecheck:
```
python3 -m py_compile
```
Manual test with real API if available

Example Handoff

{
  "salientSummary": "Implemented embed capability and semantic chunker",
  "whatWasImplemented": "Added embed.py with text embedding NIM support, chunker.py with semantic boundary detection",
  "whatWasLeftUndone": "",
  "verification": {
    "commandsRun": [
      {"command": "pytest tests/test_embed.py -v", "exitCode": 0, "observation": "3 tests passed"}
    ]
  },
  "tests": {"added": [{"file": "tests/test_embed.py", "cases": [{"name": "test_build_embed_request"}]}]},
  "discoveredIssues": []
}