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Install in OpenClaw
/install plonky-time-series-forecasting
Description
Use Plonky.ai to upload, analyze, and forecast recurring time-series data for planning and budgeting, with guidance on data quality and model suitability.
Usage Guidance
This skill appears coherent for its stated purpose, but note: (1) it will upload your CSV data to the Plonky MCP service and may create/use an API key — do not upload confidential or personally identifiable data unless you trust the service and have permission. (2) The package metadata lists no homepage/source even though SKILL.md links to a GitHub repo and docs; that lowers provenance confidence. (3) If you proceed, verify Plonky's privacy/terms, test with non-sensitive sample data first, and confirm you have the right to share the datasets you upload.
Capability Assessment
Purpose & Capability
The skill is an instruction-only forecasting helper that uses Plonky's MCP API (register, upload_data, analyze_dataset, create_forecast, etc.). The declared purpose (time-series forecasting) matches the operations the instructions describe; there are no unrelated credentials, binaries, or install steps requested.
Instruction Scope
The SKILL.md stays focused on data prep, upload, analysis, forecasting, and backtesting. It does instruct the agent to upload CSV data and create accounts via the service's register endpoint when necessary — meaning user data will be transmitted to Plonky's service. It does not instruct the agent to read local system files, environment variables, or unrelated configuration paths beyond the dataset the user provides.
Install Mechanism
Instruction-only skill with no install spec and no code files: nothing is written to disk by the skill itself. This is the lowest-risk install profile.
Credentials
The skill requests no environment variables, credentials, or config paths. The only credential interaction described is creating or using an API key for the Plonky MCP service — which is proportional to the stated purpose.
Persistence & Privilege
The skill is not always-on and does not request elevated persistence. It does include steps that may create or use a Plonky account/API key, which is normal for a remote-API integration and limited to the service's scope.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install plonky-time-series-forecasting - After installation, invoke the skill by name or use
/plonky-time-series-forecasting - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Clearer communication on when to use plonky.ai and necessary data shape.
v1.0.0
Plonky Forecasting Skill 1.0.0
- Introduces an end-to-end workflow for time-series forecasting using the Plonky API.
- Guides users through authentication, data preparation, uploading, analysis, and interpreting forecast results.
- Describes when statistical forecasting is and isn’t appropriate and suggests alternatives when needed.
- Details best practices for identifying and handling gaps, outliers, duplicates, and segment issues in time-series data.
- Provides clear guidance on workflow steps including optional pre-forecast data analysis.
- Includes specific tool descriptions and usage instructions for all available API endpoints.
Metadata
Frequently Asked Questions
What is Free Time Series Forecasting with Plonky.ai?
Use Plonky.ai to upload, analyze, and forecast recurring time-series data for planning and budgeting, with guidance on data quality and model suitability. It is an AI Agent Skill for Claude Code / OpenClaw, with 121 downloads so far.
How do I install Free Time Series Forecasting with Plonky.ai?
Run "/install plonky-time-series-forecasting" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Free Time Series Forecasting with Plonky.ai free?
Yes, Free Time Series Forecasting with Plonky.ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Free Time Series Forecasting with Plonky.ai support?
Free Time Series Forecasting with Plonky.ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Free Time Series Forecasting with Plonky.ai?
It is built and maintained by addysmoke (@addysmoke); the current version is v1.0.1.
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