What makes qsr-pre-rush-coach notable?

1.2K downloads. Trust evidence available

How should qsr-pre-rush-coach be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

qsr-pre-rush-coach

15-minute pre-rush tactical check for restaurant managers. Forces a 60-second strategic pause before the chaos starts — staffing positions, bottleneck identification, and contingency plans. Built by a franchise GM with 16 years in QSR operations.

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.2k

Updated

Oct 11, 2026

Version

1.0.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.2K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.3release · observed Sep 21, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176n3ns9yxm5bkwfzy1px199x842m27:qsr-pre-rush-coach

Install using `clawhub skill install s176n3ns9yxm5bkwfzy1px199x842m27:qsr-pre-rush-coach` in an isolated environment before connecting it to live workloads.
No published capability contract is available yet, so validate auth and request/response behavior manually.
Review the upstream CLAWHUB listing at https://clawhub.ai/mcphersonai/qsr-pre-rush-coach before using production credentials.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-mcphersonai-qsr-pre-rush-coach/snapshot"

Documentation

CLAWHUB

65,130 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: qsr-pre-rush-coach
version: 1.0.3
description: 15-minute pre-rush tactical check for restaurant managers. Forces a 60-second strategic pause before the chaos starts — staffing positions, bottleneck identification, and contingency plans. Built by a franchise GM with 16 years in QSR operations.
license: CC-BY-NC-4.0
tags:
  - restaurant
  - franchise
  - operations
  - rush
  - staffing
  - tactical
  - qsr
  - scheduling
---

## Building with AI agents? Get started with Observa

See observed runtime activity, review what governance WOULD have done in SHADOW mode, and preserve the evidence behind it across OpenClaw and supported n8n workflows.

[**Get started with Observa →**](https://mcphersonai.com/observa/getting-started?utm_source=clawhub&utm_medium=skill&utm_campaign=observa-getting-started&utm_content=qsr-pre-rush-coach)

*SHADOW ONLY · AUTHORITY NONE · ENFORCEMENT OFF. Publisher notice only; this QSR skill’s operating behavior, data handling, and license are unchanged.*

# QSR Pre-Rush Strategy Coach
**v1.0.3 · McPherson AI · San Diego, CA**

You are a pre-rush tactical coach for a restaurant or franchise location. 15 minutes before the anticipated rush, you ping the manager with a structured check that forces them to think strategically for 60 seconds before the chaos starts.

Most shift leads walk into a rush without a plan. They react instead of anticipate. The result: high wait times, stressed crews, mistakes on the line, and a manager who's putting out fires instead of directing traffic. This skill turns that 15-minute window before the rush into a tactical advantage.

**Recommended models:** This skill is conversational and time-sensitive. Works with any capable model.

---

## DATA STORAGE

**Memory format** — store each pre-rush check as:
```
[DATE] | [RUSH WINDOW: time] | [STAFF ON: X] | [CALL-OUTS: X] | [KEY POSITIONS FILLED: yes/no] | [BOTTLENECK IDENTIFIED: text] | [TACTIC DEPLOYED: text] | [POST-RUSH NOTE: text or "none"]
```
Track pre-rush checks over time to identify recurring staffing gaps and bottleneck patterns.

---

## FIRST-RUN SETUP

This skill requires more customization than the others because rush dynamics vary significantly by restaurant type, layout, and menu. Ask these questions during setup:

1. **When is your primary rush window?** (e.g., "7-9 AM breakfast rush" or "11:30-1:30 lunch" or "5-8 PM dinner")
2. **Do you have a secondary rush?** (some locations have breakfast AND lunch, or lunch AND dinner)
3. **What are your key positions during a rush?** (e.g., "oven, line build, register, drive-thru, prep" — name them the way your team names them)
4. **How many staff do you need at minimum to run the rush without breaking?** (the number where if you lose one more person, service degrades)
5. **What's your most common bottleneck during the rush?** (e.g., "toaster backs up," "oven can't keep pace," "register lines get long," "prep falls behind")
6. **What's your typical response when you're shorthanded?** (

README.md

# QSR Pre-Rush Coach

15-minute pre-rush tactical check for restaurant managers. Helps operators confirm coverage, identify bottlenecks, and walk into peak volume with a plan.

Built by McPherson AI for real-world QSR operations.

## Building with AI agents? Get started with Observa

Observa shows supported OpenClaw and n8n runtime activity, what governance WOULD have done in SHADOW mode, and the evidence behind it.

[**Get started with Observa →**](https://mcphersonai.com/observa/getting-started?utm_source=github&utm_medium=skill-readme&utm_campaign=observa-getting-started&utm_content=qsr-pre-rush-coach)

*SHADOW ONLY · AUTHORITY NONE · ENFORCEMENT OFF. This publisher notice does not change the QSR skill itself.*

## What it does

QSR Pre-Rush Coach creates a short tactical pause before the rush starts.

Instead of reacting once the line backs up, the manager gets prompted before peak volume to think through:

- who is on each key position
- whether there are any call-outs or coverage gaps
- what bottleneck is most likely today
- what tactical adjustment should happen before the rush begins

It also includes a short post-rush reflection so the operator can track patterns over time.

## Best use case

This skill is designed for:

- restaurant general managers
- assistant managers
- shift leads
- franchise operators
- high-volume stores with repeat rush windows

It is especially useful for breakfast, lunch, or dinner periods where execution depends on staffing, position coverage, and fast decisions.

## Core workflow

The skill runs a structured pre-rush check 15 minutes before the rush window.

It walks through:

1. Key position coverage
2. Call-outs or short staffing
3. Likely bottleneck for the shift
4. Tactical response before the rush
5. Post-rush reflection after service

Over time, it helps surface recurring staffing gaps, bottlenecks, and rush execution issues.

## File included

- `SKILL.md` — full skill definition

## Version

v1.0.3 - Publisher-notice refresh: Observa CTA updated to the current Getting Started flow. No functional changes.

v1.0.2 - Publisher-note release; the Observa private beta is now open. No functional changes.

v1.0.1 — Publisher-note release; operational behavior and license unchanged.

v1.0.0

## License

CC BY-NC 4.0

## Author

**McPherson AI**
San Diego, CA

_meta.json

{
  "ownerId": "kn77bzntvd26te0kr70gfmnt3s83798q",
  "slug": "qsr-pre-rush-coach",
  "version": "1.0.3",
  "publishedAt": 1790034451386
}

skill-card.md

## Description:

15-minute pre-rush tactical check for restaurant managers that prompts staffing coverage, bottleneck identification, tactical adjustments, and post-rush reflection.

This skill is ready for commercial/non-commercial use.

## Publisher:

[mcphersonai](https://clawhub.ai/user/mcphersonai)

### License/Terms of Use:

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

## Use Case:

Restaurant general managers, assistant managers, shift leads, and franchise operators use this skill to run a short pre-rush planning check before peak service. It helps confirm key-position coverage, identify call-outs and bottlenecks, choose immediate tactical adjustments, and record post-rush patterns.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Stored rush-check history may include staffing, call-out, or performance details.

Mitigation: Before installing, decide where records are stored, who can access them, and how long to retain them; avoid unnecessary employee names or performance details and set clear workplace tracking expectations.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/mcphersonai/skills/qsr-pre-rush-coach)

## Skill Output:

**Output Type(s):** [guidance, text, markdown]

**Output Format:** [Conversational Markdown guidance and structured check-in notes]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May store pre-rush check history, including rush window, staffing level, call-outs, bottlenecks, tactics, and post-rush notes.]

## Skill Version(s):

1.0.3 (source: frontmatter and server release metadata)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

LICENSE

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

Copyright (c) 2026 Blake McPherson / McPherson AI

This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

You are free to:

- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material

Under the following terms:

- Attribution — You must give appropriate credit
- NonCommercial — You may not use the material for commercial purposes

Additional License Clarification:

For the purposes of this license, using this skill within your own business, restaurant, franchise, or internal operations is permitted and is not considered commercial use requiring separate permission.

Commercial redistribution means:

- Reselling this skill
- Repackaging this skill as a paid product
- Offering it as part of a competing commercial platform
- Redistributing modified or unmodified versions for direct commercial sale or licensing

This clarification is intended to allow practical operational use while protecting the original work from unauthorized resale or platform exploitation.

Full license text:
https://creativecommons.org/licenses/by-nc/4.0/

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