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QSR Weekly P&L Storyteller
by
McPherson AI
· GitHub ↗
· v1.0.0
· MIT-0
96
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Install in OpenClaw
/install qsr-weekly-pl-storyteller
Description
Turns weekly restaurant KPIs into a plain-English financial narrative — what happened, why it matters, and what to do about it. Replaces staring at spreadshe...
Usage Guidance
This is an instruction-only skill that legitimately asks you to provide weekly numbers and will store those weekly reports in the agent's memory to enable trend comparisons. Before installing: (1) confirm you are comfortable storing P&L data in the agent's memory and understand your platform's memory retention and sharing policies, (2) if you don't want the agent to prompt you autonomously on a schedule, consider disabling autonomous invocation or changing the skill's scheduling behavior, and (3) because there is no install or external integration, the main privacy risk is the stored report data — review/delete memory as needed. The static scanner had no code to analyze, which reduces code‑supply risk but also means you should verify the platform's memory settings if you handle sensitive financial data.
Capability Analysis
Type: OpenClaw Skill
Name: qsr-weekly-pl-storyteller
Version: 1.0.0
The skill bundle contains instructions for an AI agent to act as a financial analyst for restaurant operators, converting KPIs into narrative reports. It lacks any executable code, network requests, or instructions to access sensitive system data, and its behavior is entirely consistent with its stated purpose in SKILL.md.
Capability Assessment
Purpose & Capability
Name and description match the instructions: the skill asks for weekly KPI inputs, produces a narrative, and stores a simple weekly archive. It does not request unrelated credentials, binaries, or system access.
Instruction Scope
SKILL.md stays within the stated scope (collect numbers, generate narrative, maintain a running archive). It does instruct the agent to store each weekly report in memory; this is expected for trend comparisons but is a data‑retention/privacy consideration the user should be aware of. The instructions do not reference system files, environment variables, or external endpoints.
Install Mechanism
There is no install spec and no code to write to disk (instruction-only). This minimizes install-time risk.
Credentials
The skill requires no environment variables, credentials, or config paths. The level of access requested is proportional to the stated functionality.
Persistence & Privilege
always:false (normal). The skill intentionally builds a persistent weekly archive in agent memory to enable comparisons; combined with the platform's default ability to invoke skills autonomously, this means the agent could prompt the user weekly unless the user disables autonomous invocation or adjusts memory retention. This is expected but worth confirming.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install qsr-weekly-pl-storyteller - After installation, invoke the skill by name or use
/qsr-weekly-pl-storyteller - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is QSR Weekly P&L Storyteller?
Turns weekly restaurant KPIs into a plain-English financial narrative — what happened, why it matters, and what to do about it. Replaces staring at spreadshe... It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.
How do I install QSR Weekly P&L Storyteller?
Run "/install qsr-weekly-pl-storyteller" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is QSR Weekly P&L Storyteller free?
Yes, QSR Weekly P&L Storyteller is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does QSR Weekly P&L Storyteller support?
QSR Weekly P&L Storyteller is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created QSR Weekly P&L Storyteller?
It is built and maintained by McPherson AI (@mcphersonai); the current version is v1.0.0.
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