trade-pipeline-init: Workflow Automation for AI Agents | OpenAgentSkill

Overview

Interactive setup wizard for first-time trade-pipeline configuration

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Trade Pipeline Init — Interactive Setup Skill

Trigger

When the user says "初始化配置", "setup", "configure trade pipeline", "init", "第一次使用", or when trade_pipeline/config/config.yaml contains example/placeholder data (seller name is "ACME EXPORT").

Behavior

Use AskUserQuestion to guide the user through configuring their trade pipeline. Collect all information first, then write config.yaml in one step.

Step 1: Company Info

Ask with AskUserQuestion (multiSelect: false):

"你的公司英文名？" — free text input (user selects "Other")

Then ask:

"公司中文名（可选）？"
"公司地址？"
"联系人姓名？"
"联系邮箱？"
"联系电话？"

These can be combined into 2-3 rounds of AskUserQuestion, grouping related fields.

Step 2: Trade Terms

Ask with AskUserQuestion options:

question: "默认贸易条件？"
options:
  - label: "FOB"
    description: "Free On Board — 卖方交到港口，买方负责运输"
  - label: "CIF" 
    description: "Cost, Insurance, Freight — 卖方负责运费+保险到目的港"
  - label: "DDP"
    description: "Delivered Duty Paid — 卖方全包到买方门口"
  - label: "EXW"
    description: "Ex Works — 买方自提"

Step 3: Currency & Port

Ask with AskUserQuestion options:

question: "默认币种？"
options:
  - label: "USD"
  - label: "CNY"
  - label: "EUR"

question: "默认装运港？"
options:
  - label: "QINGDAO,CHINA"
  - label: "SHANGHAI,CHINA"
  - label: "NINGBO,CHINA"

Step 4: Payment & Lead Time

Ask:

"付款条件？" (default: "30% T/T deposit; 70% before shipment")
"交货期？" (default: "45-60 days after deposit")

Step 5: First Buyer (Optional)

Ask:

question: "现在添加第一个客户吗？"
options:
  - label: "是，添加客户"
  - label: "跳过，稍后再加"

If yes, ask buyer name, address, contact, email.

Step 6: Write Config

After collecting all info, generate the YAML config and write to: trade_pipeline/config/config.yaml

Use the following structure:

sellers:
  <seller_id>:
    name_cn: <中文名>
    name_en: <英文名>
    address: <地址>
    contact: <联系人>
    tel: <电话>
    email: <邮箱>
    bank: { name: "", swift: "", account_no: "" }

buyers:
  <buyer_id>:  # if provided
    name_en: <名称>
    legal_names: [<名称>]
    aliases: [<简称>]
    address: <地址>
    contact: <联系人>
    email: <邮箱>

format_defaults:
  standard:
    seller_id: <seller_id>
    currency: <币种>
    price_unit: "<币种>/PC"
    terms_id: "default_<币种小写>"

terms_templates:
  default_<币种小写>:
    payment: <付款条件>
    delivery: "<贸易条件> <装运港>, Incoterms 2020."
    lead_time: <交货期>
    validity: "10 days"
    packing: "Standard export packaging: 25 kg cartons, Euro pallets."
    quality: "100% inspection before shipment."

defaults:
  port_of_loading: <装运港>
  pi_number_pattern: "PI-{order_no}"
  ci_number_pattern: "CI-{order_no}"
  quote_no_pattern: "QT-{order_no}"
  date_format: "%d %B %Y"

packing:
  carton_weight_kg: 25
  pallet_self_weight_kg: 28
  cartons_per_pallet: 36

pl_profiles:
  default:
    pl_config: standard
    packing_profile: standard_25kg

cache:
  dir: .cache/understanding
  prompt_version: v1.0
  schema_version: v1.0
  enabled: true

ocr_review:
  force_review_fields: [description, standard, quantity, unit, weight_kg]
  confidence_threshold: 0.90

Seller ID generation: take the first 2 meaningful words from the English name, lowercased, joined by underscore. Skip words like "co", "ltd", "inc", "limited".

Step 7: Confirm

Show the user a summary:

Seller: <英文名> (id: <seller_id>)
Terms:  <贸易条件> | Currency: <币种> | Port: <装运港>
Buyer:  <客户名> (if added)

Config written to: trade_pipeline/config/config.yaml

Quick demo:
  python -m trade_pipeline --input examples/sample_inquiry.xlsx --order DEMO --buyer <buyer_id or _new>

Notes

The CLI version (python -m trade_pipeline init) is still available as a fallback
This skill provides a better UX within Claude Code using native dialog controls
Bank info can be added later by editing config.yaml directly

View source ↗

File metadata

name: trade-pipeline-init
description: Interactive setup wizard for first-time trade-pipeline configuration
triggers:
  - 初始化配置
  - setup
  - configure trade pipeline
  - 第一次使用
  - init

View original text

---
name: trade-pipeline-init
description: Interactive setup wizard for first-time trade-pipeline configuration
triggers:
  - 初始化配置
  - setup
  - configure trade pipeline
  - 第一次使用
  - init
---

# Trade Pipeline Init — Interactive Setup Skill

## Trigger
When the user says "初始化配置", "setup", "configure trade pipeline", "init", "第一次使用", or when `trade_pipeline/config/config.yaml` contains example/placeholder data (seller name is "ACME EXPORT").

## Behavior

Use AskUserQuestion to guide the user through configuring their trade pipeline. Collect all information first, then write `config.yaml` in one step.

### Step 1: Company Info

Ask with AskUserQuestion (multiSelect: false):
- "你的公司英文名？" — free text input (user selects "Other")

Then ask:
- "公司中文名（可选）？"
- "公司地址？"
- "联系人姓名？"
- "联系邮箱？"
- "联系电话？"

These can be combined into 2-3 rounds of AskUserQuestion, grouping related fields.

### Step 2: Trade Terms

Ask with AskUserQuestion options:
```
question: "默认贸易条件？"
options:
  - label: "FOB"
    description: "Free On Board — 卖方交到港口，买方负责运输"
  - label: "CIF" 
    description: "Cost, Insurance, Freight — 卖方负责运费+保险到目的港"
  - label: "DDP"
    description: "Delivered Duty Paid — 卖方全包到买方门口"
  - label: "EXW"
    description: "Ex Works — 买方自提"
```

### Step 3: Currency & Port

Ask with AskUserQuestion options:
```
question: "默认币种？"
options:
  - label: "USD"
  - label: "CNY"
  - label: "EUR"
```

```
question: "默认装运港？"
options:
  - label: "QINGDAO,CHINA"
  - label: "SHANGHAI,CHINA"
  - label: "NINGBO,CHINA"
```

### Step 4: Payment & Lead Time

Ask:
- "付款条件？" (default: "30% T/T deposit; 70% before shipment")
- "交货期？" (default: "45-60 days after deposit")

### Step 5: First Buyer (Optional)

Ask:
```
question: "现在添加第一个客户吗？"
options:
  - label: "是，添加客户"
  - label: "跳过，稍后再加"
```

If yes, ask buyer name, address, contact, email.

### Step 6: Write Config

After collecting all info, generate the YAML config and write to:
`trade_pipeline/config/config.yaml`

Use the following structure:
```yaml
sellers:
  <seller_id>:
    name_cn: <中文名>
    name_en: <英文名>
    address: <地址>
    contact: <联系人>
    tel: <电话>
    email: <邮箱>
    bank: { name: "", swift: "", account_no: "" }

buyers:
  <buyer_id>:  # if provided
    name_en: <名称>
    legal_names: [<名称>]
    aliases: [<简称>]
    address: <地址>
    contact: <联系人>
    email: <邮箱>

format_defaults:
  standard:
    seller_id: <seller_id>
    currency: <币种>
    price_unit: "<币种>/PC"
    terms_id: "default_<币种小写>"

terms_templates:
  default_<币种小写>:
    payment: <付款条件>
    delivery: "<贸易条件> <装运港>, Incoterms 2020."
    lead_time: <交货期>
    validity: "10 days"
    packing: "Standard export packaging: 25 kg cartons, Euro pallets."
    quality: "100% inspection before shipment."

defaults:
  port_of_loading: <装运港>
  pi_number_pattern: "PI-{order_no}"
  ci_number_pattern: "CI-{order_no}"
  quote_no_pattern: "QT-{order_no}"
  date_format: "%d %B %Y"

packing:
  carton_weight_kg: 25
  pallet_self_weight_kg: 28
  cartons_per_pallet: 36

pl_profiles:
  default:
    pl_config: standard
    packing_profile: standard_25kg

cache:
  dir: .cache/understanding
  prompt_version: v1.0
  schema_version: v1.0
  enabled: true

ocr_review:
  force_review_fields: [description, standard, quantity, unit, weight_kg]
  confidence_threshold: 0.90
```

Seller ID generation: take the first 2 meaningful words from the English name, lowercased, joined by underscore. Skip words like "co", "ltd", "inc", "limited".

### Step 7: Confirm

Show the user a summary:
```
Seller: <英文名> (id: <seller_id>)
Terms:  <贸易条件> | Currency: <币种> | Port: <装运港>
Buyer:  <客户名> (if added)

Config written to: trade_pipeline/config/config.yaml

Quick demo:
  python -m trade_pipeline --input examples/sample_inquiry.xlsx --order DEMO --buyer <buyer_id or _new>
```

## Notes
- The CLI version (`python -m trade_pipeline init`) is still available as a fallback
- This skill provides a better UX within Claude Code using native dialog controls
- Bank info can be added later by editing config.yaml directly

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Financial research output is not financial advice; require human review before any live investment decision
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
Low GitHub adoption signal
AI review approval is missing
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
GitHub adoption: 25 GitHub stars
Stars/forks activity: 25 stars, 5 forks; issue activity unavailable in current metadata
Review status: AI review approval is missing

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2

Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: Dangooy/trade-pipeline-skill
License: MIT
Version: Unknown
Last GitHub push: Sep 4, 2026
Registry updated: Sep 13, 2026
Instruction path: .claude/skills/trade-pipeline-init/SKILL.md @ c6a6df9d5345

Version reported in registry metadata; check source releases before relying on it.

Quality

55/100

Promising

Trust

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "api": "https://www.openagentskill.com/api/agent/skills/dangooy-trade-pipeline-init",
    "audit": "https://www.openagentskill.com/skills/dangooy-trade-pipeline-init/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=dangooy-trade-pipeline-init&task=Use%20trade-pipeline-init%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20trade-pipeline-init%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20trade-pipeline-init%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/dangooy-trade-pipeline-init/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/dangooy-trade-pipeline-init"
  }
}

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Creator: Dangooy
Source: Dangooy/trade-pipeline-skill
Indexed by: OpenAgentSkill community index

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/dangooy-trade-pipeline-init?metric=listed&label=Listed)](https://www.openagentskill.com/skills/dangooy-trade-pipeline-init?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/dangooy-trade-pipeline-init?metric=trust&label=Trust)](https://www.openagentskill.com/skills/dangooy-trade-pipeline-init?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/dangooy-trade-pipeline-init?metric=audit&label=Audit)](https://www.openagentskill.com/skills/dangooy-trade-pipeline-init/audit)
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