# Config Command

> Run the `synapse-plugin-helper:config` workflow from the original Claude slash command. Use when the user asks to show current plugin configuration, categories, and connected Synapse agents

- Skill: `datamaker-kr/config-command` (Agent Skill)
- Install (CLI): `npx skillmds@latest add datamaker-kr/config-command`
- Raw SKILL.md: https://api.skillmd.com/api/skills/datamaker-kr/config-command/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: datamaker-kr (https://skillmd.com/u/datamaker-kr)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/datamaker-kr/config-command

---


<!-- Generated by tools/generate-agent-marketplaces.py; edit the source command or agent-plugin.yaml instead. -->

# synapse-plugin-helper:config Command Workflow

## Codex Adaptation

- Treat the user request or explicitly supplied text as the command arguments.
- Use the available Codex file, search, terminal, and clarification capabilities that match the workflow.
- Do not depend on Claude-only slash command variables or tool names.

# Synapse Plugin Configuration

Display the current plugin's configuration including categories, connected agents, and settings.

## Workflow

### Step 1: Check Plugin Context

```bash
# Check if config.yaml or synapse.yaml exists in current directory
if [ -f config.yaml ]; then
    echo "CONFIG_FILE=config.yaml"
elif [ -f synapse.yaml ]; then
    echo "CONFIG_FILE=synapse.yaml"
else
    echo "CONFIG_FILE="
fi
```

If no config.yaml/synapse.yaml found:
```
현재 디렉토리에 Synapse 플러그인이 없습니다.
플러그인 디렉토리로 이동하거나 /synapse-plugin:create로 새 플러그인을 생성하세요.
```

### Step 2: Parse Plugin Configuration

Read and parse the config file:

```bash
cat "$CONFIG_FILE"
```

Extract key information:
- Plugin name, code, version
- Category
- Data type
- Tasks
- Actions defined

### Step 3: Display Plugin Information

```
╔══════════════════════════════════════════════════╗
║           SYNAPSE PLUGIN CONFIGURATION           ║
╠══════════════════════════════════════════════════╣
║ Name: [plugin-name]                              ║
║ Code: [plugin-code]                              ║
║ Version: [version]                               ║
╠══════════════════════════════════════════════════╣
║ Category: [category]                             ║
║ Data Type: [data_type]                           ║
║ Tasks: [task1, task2, ...]                       ║
║ Package Manager: [pip|uv]                        ║
╚══════════════════════════════════════════════════╝
```

### Step 4: List Available Categories

Display all available plugin categories:

```
╔══════════════════════════════════════════════════╗
║           AVAILABLE CATEGORIES                   ║
╠══════════════════════════════════════════════════╣
║ Category          │ Description                  ║
╠───────────────────┼──────────────────────────────╣
║ neural_net        │ ML model training/inference  ║
║ export            │ Data format conversion       ║
║ upload            │ External data import         ║
║ smart_tool        │ AI-assisted annotation       ║
║ pre_annotation    │ Pre-labeling processing      ║
║ post_annotation   │ Post-labeling processing     ║
║ data_validation   │ Data quality checks          ║
║ custom            │ User-defined                 ║
╚══════════════════════════════════════════════════╝

현재 설정: [current-category]
```

### Step 5: Show Connected Agents

Check for current Synapse agent:

```bash
# Check agent configuration
synapse agent show 2>/dev/null || echo "No agent configured"
```

Display current agent:

```
╔══════════════════════════════════════════════════╗
║              CURRENT SYNAPSE AGENT               ║
╠══════════════════════════════════════════════════╣
║ ID: [agent-id]                                   ║
║ Name: [agent-name]                               ║
║ URL: [agent-url]                                 ║
╚══════════════════════════════════════════════════╝
```

If no agent configured:
```
╔══════════════════════════════════════════════════╗
║              CURRENT SYNAPSE AGENT               ║
╠══════════════════════════════════════════════════╣
║ 설정된 에이전트가 없습니다.                       ║
║                                                  ║
║ 에이전트 선택 방법:                              ║
║   synapse agent select                          ║
╚══════════════════════════════════════════════════╝
```

### Step 6: Show Actions Summary

List all defined actions:

```
╔══════════════════════════════════════════════════╗
║           DEFINED ACTIONS                        ║
╠══════════════════════════════════════════════════╣
║ Action      │ Method │ Entrypoint                ║
╠─────────────┼────────┼───────────────────────────╣
║ train       │ job    │ plugin.train:TrainAction  ║
║ inference   │ task   │ plugin.infer:run          ║
║ serve       │ serve  │ plugin.serve:ModelServer  ║
╚══════════════════════════════════════════════════╝
```
Optionally include semantic types if present:

```
╔══════════════════════════════════════════════════╗
║           ACTION TYPES                           ║
╠══════════════════════════════════════════════════╣
║ Action      │ Input Type      │ Output Type       ║
╠─────────────┼─────────────────┼───────────────────╣
║ train       │ yolo_dataset    │ model_weights     ║
║ inference   │ model_weights   │ inference_results ║
╚══════════════════════════════════════════════════╝
```

### Step 7: Show Environment Variables

If `env` section exists in config.yaml:

```
╔══════════════════════════════════════════════════╗
║           ENVIRONMENT VARIABLES                  ║
╠══════════════════════════════════════════════════╣
║ Variable          │ Value                        ║
╠───────────────────┼──────────────────────────────╣
║ DEBUG             │ false                        ║
║ BATCH_SIZE        │ 32                           ║
╚══════════════════════════════════════════════════╝
```

## Category Details

| Category | Use Case | Typical Actions |
|----------|----------|-----------------|
| `neural_net` | ML 모델 학습/추론 | train, inference, evaluate |
| `export` | 데이터 포맷 변환 | export, convert |
| `upload` | 외부 데이터 가져오기 | import, sync |
| `smart_tool` | AI 어노테이션 도구 | segment, detect, annotate |
| `pre_annotation` | 라벨링 전 처리 | preprocess, augment |
| `post_annotation` | 라벨링 후 처리 | validate, postprocess |
| `data_validation` | 데이터 품질 검사 | check, validate, report |
| `custom` | 사용자 정의 | (any) |

## Smart Tool Configuration

If category is `smart_tool`, also display:

```
╔══════════════════════════════════════════════════╗
║           SMART TOOL SETTINGS                    ║
╠══════════════════════════════════════════════════╣
║ Annotation Category: [annotation_category]       ║
║ Annotation Type: [annotation_type]               ║
║ Smart Tool Type: [smart_tool]                    ║
╚══════════════════════════════════════════════════╝
```

| Field | Values |
|-------|--------|
| `annotation_category` | object_detection, segmentation, classification, keypoint, text |
| `annotation_type` | bbox, polygon, point, line, mask, label |
| `smart_tool` | automatic, interactive, semi_automatic |

## Error Handling

### config.yaml/synapse.yaml not found
```
config.yaml 또는 synapse.yaml을 찾을 수 없습니다.
현재 위치가 Synapse 플러그인 디렉토리인지 확인하세요.
```

### Invalid YAML syntax
```
config.yaml 또는 synapse.yaml 파싱 오류.
YAML 문법을 확인하세요: python -c "import yaml; yaml.safe_load(open('config.yaml'))"
```

### Agent connection failed
```
에이전트 정보를 가져올 수 없습니다.
- synapse-sdk가 설치되어 있는지 확인
- 네트워크 연결 확인
- 인증 상태 확인: synapse login
- 에이전트 선택: synapse agent select
```