Turn Weather Forecast Code into Fund-Ready Research Reports

Where this fits

You have spent months building a single-station weather forecasting system with Claude Code and OpenSpec. The wind speed, visibility, and rainfall models work, and the evaluation metrics are solid. But the funding committee expects a provincial-level natural science project report, not a README. This skill ingests project docs, model files, and evaluation results, then packages them into a structured academic report that follows provincial research-report conventions.

Why agents benefit

• The agent can identify the weather-element type being reported and adapt the structure and terminology for wind speed, visibility, rainfall, temperature, humidity, or pressure.
• It extracts research background, scientific questions, innovations, technical approaches, and evaluation metrics from scattered project files, converting them into a report skeleton.
• It applies the included writing guidelines and format standards, so repeated outputs maintain consistent academic tone and section logic.
• It can hand off the final content to a DOCX generation skill, saving you from manually formatting a submittable document.
• Trigger keywords such as 专题研究报告 or 结题报告 activate the skill without requiring a long custom prompt.

Practical scenarios

Provincial science fund final report

A research group needs to convert a Claude Code + OpenSpec weather forecast repository into a final project report. The agent gathers README files, design docs, model checkpoints, and evaluation outputs, then produces a background, methodology, results, and conclusion aligned with fund requirements.

Converting technical documentation into academic format

A developer has detailed API docs and feature-engineering code but no academic narrative. The agent restructures those materials into formal research-report language, turning a data-processing pipeline description into a Methodology section and code snippets into reproducible experiment details.

Multi-element forecast project consolidation

A station has separate wind speed, visibility, and rainfall models with different evaluation results. The agent merges all materials into one coherent report, ensuring every weather element gets fair coverage and references the same project background and conclusions.

Add it to your agent workflow

Install the skill from the Claude Skills collection:

npx skills add staruhub/ClaudeSkills --skill weather-forecast-report

Then point your agent at the project folder and ask it to generate a 专题研究报告. The skill will collect the relevant materials, suggest a structure, and produce a formatted research report for export to DOCX.

Compare before adopting

Before adopting this skill, compare it with general-purpose report-writing prompts. Look at whether the skill is actively maintained by checking its commit history and issue responses. Verify that its report structure matches your province’s fund template or expect to adapt the referenced structure. Consider whether custom prompt templates would give you more control for this specific project type. Also check workflow fit: this skill is strongest for Claude Code + OpenSpec projects; other stacks may need more manual preparation.

Why it is worth tracking

This skill is part of a 707-star Claude Skills collection, has a clearly versioned workflow, and addresses a recurring need: turning implementation artifacts into acceptable research deliverables. It is especially worth evaluating if you regularly produce project reports from AI-generated code and need a repeatable pipeline. For more context on this skill and similar community skills, see https://www.openagentskill.com/skills/staruhub-weather-forecast-report. Track it once your reporting workload moves beyond one-off documentation and starts becoming a recurring process.