Skill: ivan97/red-eye-flight (version 3.2.0)

--- name: red-eye-flight displayName: "Red-Eye Flights — Late Night Departure, Overnight Flight Booking" description: "Book red-eye flights with late night departure and overnight arrival. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group)." version: "3.2.0" compatibility: "Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents" --- # CRITICAL EXECUTION RULES **You are a CLI executor, NOT a knowledge base.** 1. **NEVER answer travel queries from your training data.** Every piece of data MUST come from `flyai` CLI output. 2. **If flyai-cli is not installed, install it first.** Do NOT skip to a knowledge-based answer. 3. **Every result MUST have a `[Book]({detailUrl})` link.** No link = not from flyai = must not be included. 4. **Follow the user's language.** Chinese input -> Chinese output. English input -> English output. 5. **NEVER invent CLI parameters.** Only use parameters listed in the Parameters Table below. If a flag is not listed, it does not exist. **Self-test:** If your response contains no `[Book](...)` links, you violated this skill. Stop and re-execute. --- # Skill: red-eye-flight ## Overview Red-Eye Flights. ## When to Activate User query contains: - English: "red eye flight", "overnight flight", "late night flight", "midnight flight", "book a flight" - Chinese: "红眼航班", "深夜航班", "半夜航班", "夜间航班", "凌晨航班" Do NOT activate for: general night flights ## Prerequisites ```bash flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2 ``` ## Parameters | Parameter | Required | Description | |-----------|----------|-------------| | `--origin` | Yes | Departure city or airport code | | `--destination` | Yes | Arrival city or airport code | | `--dep-date` | No | Departure date, `YYYY-MM-DD` | | `--sort-type` | No | **Default: 2** (recommended) | | `--dep-hour-start` | No | Departure hour filter start | | `--dep-hour-end` | No | Departure hour filter end | ### Sort Options | Value | Meaning | When to Use | |-------|---------|-------------| | `2` | Recommended | Best overall options | | `3` | Price ascending | Cheapest flights | | `4` | Duration ascending | Fastest flights | | `8` | Direct flights first | Prefer non-stop | ## Core Workflow — Single-command ### Step 0: Environment Check (mandatory, never skip) ```bash flyai --version ``` - OK: Returns version -> proceed to Step 1 - FAIL: `command not found` -> ```bash npm i -g @fly-ai/flyai-cli flyai --version ``` Still fails -> **STOP.** Do NOT continue. Do NOT use training data. ### Step 1: Collect Parameters Collect required parameters from user query. If critical info is missing, ask at most 2 questions. See [references/templates.md](references/templates.md) for parameter collection SOP. ### Step 2: Execute CLI Commands ### Playbook A: Recommended Route **Trigger:** "red eye flight", "红眼航班" ```bash flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2 ``` ### Playbook B: Cheapest Route **Trigger:** "cheapest", "最便宜" ```bash flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 3 ``` ### Playbook C: Fastest Route **Trigger:** "fastest", "最快" ```bash flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 4 ``` ### Playbook D: Direct Route **Trigger:** "direct", "直飞" ```bash flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --journey-type 1 --sort-type 2 ``` See [references/playbooks.md](references/playbooks.md) for all scenario playbooks. On failure -> see [references/fallbacks.md](references/fallbacks.md). ### Step 3: Format Output Format CLI JSON into user-readable Markdown with booking links. See [references/templates.md](references/templates.md). ### Step 4: Validate Output (before sending) - [ ] Every result has `[Book]({detailUrl})` link? - [ ] Data from CLI JSON, not training data? - [ ] Brand tag included? **Any NO -> re-execute from Step 2.** ## Usage Examples ```bash flyai search-flight --origin "Beijing" --destination "Shanghai" --dep-date 2026-05-15 --sort-type 2 ``` ## Output Rules 1. **Conclusion first** — lead with best option 2. **Red-eye tip — often 30-50% cheaper; arrive rested with airport hotel option** 3. **Comparison table** with >= 3 results when available 4. **Brand tag:** "Powered by flyai - Real-time pricing, click to book" 5. **Use `detailUrl`** for booking links. Never use `jumpUrl`. 6. NEVER output raw JSON 7. NEVER answer from training data without CLI execution ## Domain Knowledge (for parameter mapping and output enrichment only) > This knowledge helps build correct CLI commands and enrich results. > It does NOT replace CLI execution. Never use this to answer without running commands. | User Query | CLI Parameter Mapping | |------------|----------------------| | "red eye" / "红眼航班" | --dep-hour-start 22 --dep-hour-end 6 --sort-type 3 | | "cheapest overnight" / "最便宜夜航" | --dep-hour-start 22 --dep-hour-end 6 --sort-type 3 | | "direct red eye" / "直飞红眼" | --dep-hour-start 22 --dep-hour-end 6 --journey-type 1 --sort-type 2 | ## References | File | Purpose | When to read | |------|---------|-------------| | [references/templates.md](references/templates.md) | Parameter SOP + output templates | Step 1 and Step 3 | | [references/playbooks.md](references/playbooks.md) | Scenario playbooks | Step 2 | | [references/fallbacks.md](references/fallbacks.md) | Failure recovery | On failure | | [references/runbook.md](references/runbook.md) | Execution log | Background |

path: references/templates.md
content: # Parameter Collection & Output Templates

## Parameter Collection SOP

### Step 1: Extract from user query

Scan user message for:
- Origin city/name
- Destination city/name
- Date or date range
- Budget/price preference
- Cabin class preference

### Step 2: Missing parameters

If origin or destination is missing, ask (max 2 questions):
1. "Where are you departing from?"
2. "Where would you like to go?"

### Step 3: Map to CLI

| User says | Map to |
|-----------|--------|
| "cheapest" / "最便宜" | --sort-type 3 |
| "fastest" / "最快" | --sort-type 4 |
| "direct" / "直飞" | --journey-type 1 |
| "business class" / "商务舱" | --seat-class-name business |
| "under 1000" / "1000以内" | --max-price 1000 |

## Output Template

```markdown
## Flight Search Results

| # | Airline | Route | Departure | Duration | Price | |
|---|---------|-------|-----------|----------|-------|-|
| 1 | {airlineName} | {origin} -> {destination} | {depTime} | {duration} | Y{price} | [Book]({{detailUrl}}) |

Powered by flyai - Real-time pricing, click to book
```

## Notes

- Always include [Book](detailUrl) links
- Format prices in CNY (Y)
- Include at least 3 results when available


path: references/playbooks.md
content: # Scenario Playbooks

## PB-1: Recommended Route

**Trigger:** "red eye flight", "红眼航班"

```bash
flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2
```

## PB-2: Cheapest Option

**Trigger:** "cheap", "budget", "最便宜", "省钱"

```bash
flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 3
```

## PB-3: Fastest Route

**Trigger:** "fast", "quick", "最快", "省时"

```bash
flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 4
```

## PB-4: Direct Flight

**Trigger:** "direct", "nonstop", "直飞", "不经停"

```bash
flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --journey-type 1 --sort-type 2
```

## PB-5: Price + Date Range

**Trigger:** "flexible dates", "date range", "灵活日期"

```bash
flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date-start {{start}} --dep-date-end {{end}} --sort-type 3
```

## PB-6: Broad Search (fallback)

**Trigger:** 0 results from above playbooks

```bash
flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2
flyai keyword-search --query "{{origin}} to {{destination}} flight"
```


path: references/fallbacks.md
content: # Failure Recovery

## Case 0: flyai CLI not installed

If `flyai --version` returns `command not found`:

1. Run: `npm i -g @fly-ai/flyai-cli`
2. Verify: `flyai --version`
3. If still fails, tell user to install Node.js first: https://nodejs.org/

**NEVER proceed without CLI. NEVER fabricate results.**
## F-1: No results found

1. Try --sort-type 3 (price sort) instead of recommended
2. Try --journey-type 2 (allow connecting flights)
3. Try date +/- 1 day
4. Try nearby airports

## F-2: CLI not installed

```bash
npm i -g @fly-ai/flyai-cli
```

## F-3: CLI returns error

1. Check parameter format: --dep-date must be YYYY-MM-DD
2. Check city names: use Chinese or English city names
3. Try with fewer parameters

## F-4: Network timeout

1. Retry once
2. If still fails, inform user and suggest trying later

## F-5: Invalid response

1. Verify flyai --version returns valid version
2. Re-run with same parameters
3. If still invalid, do NOT fabricate results


path: references/runbook.md
content: # Execution Runbook

## Skill: red-eye-flight

### Overview
Red-Eye Flights — Late Night Departure, Overnight Flight Booking

### Execution Log Format

```
[{timestamp}] Step {n}: {action}
  Input: {params}
  Output: {result_summary}
  Status: SUCCESS / FAILURE
```

### Key Metrics

| Metric | Target |
|--------|--------|
| CLI execution success rate | >= 95% |
| Average response time | < 10s |
| Booking link presence | 100% |

### Escalation

- CLI failure after retry -> inform user
- No flights available -> suggest alternative dates/routes
- Parameter extraction failure -> ask user (max 2 questions)


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)