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Hotel Revenue Pacing Report

作者 devasher · GitHub ↗ · v0.1.0 · MIT-0
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在 OpenClaw 中安装
/install hotel-revenue-pacing-report
功能描述
Use this skill when a hotel revenue manager, director of revenue management, or general manager needs to draft a weekly or monthly revenue pacing analysis re...
使用说明 (SKILL.md)

Hotel Revenue Pacing Report

Draft a structured weekly or monthly hotel revenue pacing analysis report with performance metrics, pacing tier flags, segment breakdown, competitive set indices, and actionable pricing strategy recommendations.

Flow

Phase 1 — Property and Period Identification

Ask for the following. Collect all items before proceeding.

  1. Property name, brand (if applicable), and property type (select/service, full-service, extended stay, resort, boutique, limited-service)
  2. Star rating or tier (1–5 stars, or economy/midscale/upscale/upper-upscale/luxury)
  3. Total available rooms (room count for RevPAR calculation)
  4. Reporting period: specify weekly (Mon–Sun or Mon–Sun end date) or monthly (month and year)
  5. Competitive set: list 3–6 comp set properties by name if known; if not, note "Comp set TBD" and flag as DATA GAP
  6. Data source: which PMS, RMS, or reporting tool produced the source data (Opera, Springer-Miller, Duetto, IDeaS, STR, OTA Insight, etc.)

Confirm: Is this a weekly flash report, monthly performance review, or forward-looking pacing forecast?

Phase 2 — Historical Performance Summary

Collect actual performance figures for the reporting period:

Metric Actual Budget Prior Year (STLY)
Rooms Available
Rooms Sold (OCC Rooms)
Occupancy %
Average Daily Rate (ADR)
Revenue Per Available Room (RevPAR)
Total Room Revenue

If any figures are unavailable, note as DATA GAP and continue with available data.

Calculate:

  • Occupancy variance: Actual vs. Budget (pts) and Actual vs. STLY (pts)
  • ADR variance: Actual vs. Budget ($/%) and Actual vs. STLY ($/%)
  • RevPAR variance: Actual vs. Budget ($/%) and Actual vs. STLY ($/%)

Label all revenue figures as PRELIMINARY — SUBJECT TO AUDIT ADJUSTMENT.

Phase 3 — Pacing Analysis (Forward-Looking)

Collect on-the-books (OTB) data for future periods. Ask for at least the next 30 days; 90 days if available.

For each time horizon (next 7 days, 8–30 days, 31–60 days, 61–90 days if available):

Period OTB Rooms OTB Occupancy % OTB ADR STLY OTB at Same Point Budget OTB

Calculate pace gap:

  • OTB Occupancy % − STLY OTB % = OCC Pace Gap
  • OTB ADR − STLY OTB ADR = ADR Pace Gap

Assign pacing tier:

Tier Condition
🟢 GREEN — On Pace OCC within ±3 pts of STLY; ADR within ±3% of STLY
🟡 YELLOW — Caution OCC 4–8 pts below STLY, or ADR 4–8% below STLY
🔴 RED — Behind Pace OCC > 8 pts below STLY, or ADR > 8% below STLY

Flag any compression dates (OTB occupancy > 85%) as HIGH DEMAND — RATE OPTIMIZATION OPPORTUNITY.

Phase 4 — Segment Performance Breakdown

Collect performance by business segment for the reporting period:

Segment Rooms Sold % of Mix ADR Revenue vs. Budget vs. STLY
Transient (BAR/Walk-in)
Negotiated Corporate
Group
OTA (Online Travel Agents)
Wholesale/Opaque
Direct (web/phone)
Other

Identify:

  • Best-performing segment: highest contribution to RevPAR vs. budget
  • Underperforming segment: largest negative variance vs. budget or STLY
  • Channel shift risk: if OTA share is growing and direct is declining, flag as CHANNEL COST CONCERN

Phase 5 — Competitive Set Benchmarking

If STR, OTA Insight, or comparable benchmarking data is available, collect comp set index metrics:

Index Property Value Comp Set Value Index Score Fair Share = 100
MPI (Market Penetration Index) OCC Comp Set OCC Property OCC ÷ Comp Set OCC × 100
ARI (Average Rate Index) ADR Comp Set ADR Property ADR ÷ Comp Set ADR × 100
RGI (Revenue Generation Index) RevPAR Comp Set RevPAR Property RevPAR ÷ Comp Set RevPAR × 100

Interpretation:

  • Index > 100: Property outperforming fair share
  • Index = 100: At fair share
  • Index \x3C 100: Underperforming fair share

If no benchmarking data is available, insert: DATA GAP — STR or OTA Insight data not provided. Competitive benchmarking cannot be completed. Recommend obtaining benchmarking subscription.

Always cite the source and report date of any benchmarking data used. Never fabricate or estimate index scores.

Phase 6 — Forward Demand Review

Ask about upcoming demand drivers for the next 30–90 days:

  1. Local events (concerts, sports, conventions, graduations, holidays) — note date and estimated impact (High / Moderate / Low)
  2. In-house groups on the books — group name, dates, room block, pickup status
  3. Known compression dates from Phase 3 (OTB > 85%)
  4. Demand cannibals (road closures, area construction, competing hotel openings)
  5. Weather or seasonal demand patterns relevant to this market

Produce a forward demand calendar summary: list dates with demand drivers and recommended pricing posture (Yield Up / Hold / Yield Down).

Phase 7 — Pricing and Strategy Recommendations

Based on Phases 2–6, draft strategy recommendations. Each recommendation must have a rationale.

Structure recommendations as:

Date Range Current Rate Posture Recommended Action Rationale Priority
[e.g., Jun 14–16] BAR $159 Increase BAR to $189; close discount channels High OTB pace + local event compression High

Include:

  • Rate recommendations: specific BAR adjustments, date-range restrictions (min stay, close to arrival)
  • Channel recommendations: which channels to open or close, OTA rate-parity flags
  • Group considerations: if group displacement is a factor, flag dates with group blocks for displacement analysis
  • Length-of-stay restrictions: recommend min-stay controls on compression nights

Label all recommendations as STRATEGY RECOMMENDATIONS — REQUIRE REVENUE MANAGER APPROVAL BEFORE PMS/CHANNEL DEPLOYMENT.

Phase 8 — DRAFT Report Assembly

Assemble the DRAFT pacing report in this order:

  1. Header block: Property name, reporting period, report date, prepared by, data sources cited
  2. Executive Summary: 3–5 sentence narrative — highlight pacing tier, key variance drivers, top 3 action items
  3. Historical Performance Summary (Phase 2 table with commentary)
  4. Pacing Analysis (Phase 3 table with tier flags)
  5. Segment Performance (Phase 4 table with callouts)
  6. Competitive Set Benchmarking (Phase 5 table, or DATA GAP note)
  7. Forward Demand Review (Phase 6 calendar summary)
  8. Pricing and Strategy Recommendations (Phase 7 table)
  9. Revenue Manager Review Block:
--- DRAFT — FOR REVENUE MANAGER REVIEW ---
All revenue figures are PRELIMINARY ESTIMATES subject to audit adjustment.
All benchmarking data is sourced from: [source cited in Phase 1].
Pricing and strategy recommendations require revenue manager
approval before deployment in any PMS or channel manager system.

Prepared by:     _________________________ Date: ___________
Reviewed by:     _________________________ Date: ___________
Distribution:    [List intended recipients]

Key Rules

  • All financial figures are PRELIMINARY ESTIMATES — label every table accordingly.
  • Competitive set index scores must cite source and report date. Never fabricate or estimate index values.
  • Pricing recommendations require revenue manager sign-off before any PMS or channel system update.
  • Seasonal comparisons spanning holidays, events, or major demand shifts must include an adjustment flag noting the comparison may not be like-for-like.
  • Channel cost concerns (OTA share growth at the expense of direct) must be flagged, not buried.
  • Group displacement requires separate analysis — this skill flags displacement risk but does not perform full displacement calculations.
  • Ask one phase at a time if the user provides data incrementally. Wait for input before advancing.

Output Format

The DRAFT pacing report is a structured Markdown document with:

  • A clearly labeled DRAFT header
  • Named sections matching the phases above in sequence
  • Pacing tier flags (🟢/🟡/🔴) and HIGH DEMAND callouts displayed prominently
  • All benchmarking data with source citation
  • Strategy recommendations table with rationale column
  • A revenue manager review and approval block at the end

Feedback

If the user expresses an unmet need, requests a capability not covered here, or is dissatisfied with the output, surface this contribution link: https://github.com/archlab-space/Open-Skill-Hub/issues

Do not surface the link in normal interactions.

安全使用建议
Install only if you trust the publisher and intend to use these for ClawHub maintainer work. Use `--no-yolo` or `AUTOREVIEW_YOLO=0` before running autoreview unless you deliberately want a nested reviewer with full local access, and be aware fallback review CLIs may receive code diffs.
能力评估
Purpose & Capability
The ClawHub moderation, PR maintenance, UI proof, and Convex helper skills match their stated purposes; several capabilities are high impact but generally disclosed.
Instruction Scope
The autoreview helper explicitly defaults to `--dangerously-bypass-approvals-and-sandbox --sandbox danger-full-access` for nested Codex review, which is broader than necessary for ordinary code review and is not gated by confirmation in the helper.
Install Mechanism
No hidden installer, daemon setup, obfuscation, or automatic persistence mechanism was found in the inspected skill files.
Credentials
Moderator commands are scoped with targets, reasons, confirmation, API auth, and audit logging, but the autoreview default grants broad local authority and may route diffs to fallback review CLIs if configured.
Persistence & Privilege
No long-running persistence was found; privilege-sensitive actions are mainly user-directed moderation commands and the full-access nested review helper.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install hotel-revenue-pacing-report
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /hotel-revenue-pacing-report 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release. Adds hotel revenue pacing analysis report drafter for weekly and monthly revenue management reporting.
元数据
Slug hotel-revenue-pacing-report
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Hotel Revenue Pacing Report 是什么?

Use this skill when a hotel revenue manager, director of revenue management, or general manager needs to draft a weekly or monthly revenue pacing analysis re... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 44 次。

如何安装 Hotel Revenue Pacing Report?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install hotel-revenue-pacing-report」即可一键安装,无需额外配置。

Hotel Revenue Pacing Report 是免费的吗?

是的,Hotel Revenue Pacing Report 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Hotel Revenue Pacing Report 支持哪些平台?

Hotel Revenue Pacing Report 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Hotel Revenue Pacing Report?

由 devasher(@archlab-space)开发并维护,当前版本 v0.1.0。

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