# Generate Polished Weekly Reports from Work Notes

Writing weekly status reports from scattered work notes takes hours of tedious formatting. This skill transforms your raw work logs into structured reports with data summaries and next-period action plans in minutes.

## Install

```bash
npx skillstore add hermes-sedimentary/zhangchenlai-dev-weekly-report-generator
```

## Metadata

- - Slug: zhangchenlai-dev-weekly-report-generator
- - Version: 1.0.0
- - Author: Hermes-Sedimentary
- - GitHub username: zhangchenlai-dev
- - License: MIT
- - Repository: https://github.com/zhangchenlai-dev/hermes-skill-store/tree/master/weekly-report-generator
- - Ref: master
- - Supported tools: Claude, Codex, Claude Code
- - Risk level: safe
- - Quality score: 79
- - Quality tier: bronze
- - Public page: https://skillstore.pages.dev/skills/zhangchenlai-dev-weekly-report-generator
- - Manifest: https://skillstore.pages.dev/api/skills/zhangchenlai-dev-weekly-report-generator/manifest

## Capabilities

- Transform raw work logs into structured weekly or monthly reports
- Generate data summaries and trend descriptions from provided metrics
- Draft next-period action plans based on current work progress
- Format output with professional headers, sections, and organized bullet points
- Support both Chinese and English report generation based on input language
- Handle multiple input formats including free-form notes, bullet points, and structured logs

## Use Cases

- Individual Contributor Weekly Reporting: A software engineer compiles daily commits, ticket resolutions, and meeting notes into a structured weekly status report for their engineering manager.
- Team Lead Monthly Review: A team lead aggregates individual team member updates into a department-wide monthly review with progress summaries and upcoming priorities.
- Freelancer Client Updates: A freelancer converts project activity logs into polished client update emails with completed milestones, current status, and planned next steps.

## Prompt Templates

### Quick Weekly Summary

```
Generate a concise weekly report from these work notes. Include completed tasks, current priorities, and any blockers: [paste your work notes here]
```

### Structured Report with Metrics

```
Create a structured weekly report with these sections: Completed Tasks, Key Metrics, Blocker Items, Meetings Attended, and Next Week Plan. Here are my notes: [paste structured or free-form notes]
```

### Monthly Report with Trend Analysis

```
Generate a monthly report from these weekly summaries. Include trend analysis across the month, key achievements, metric comparisons to previous month, and strategic recommendations for next month: [paste monthly data or weekly summaries]
```

### Multi-Source Comprehensive Report

```
Synthesize this collection of meeting notes, commit logs, project tickets, and team updates into a comprehensive cross-team monthly report. Include executive summary, department KPIs, risk assessment, resource allocation notes, and forward-looking recommendations: [paste all aggregated sources]
```

## Limitations

- Cannot access live data sources or company databases for information
- Requires user-provided work logs as input material to generate reports
- Generated data visualizations are text descriptions, not actual image files
- Output quality depends on the level of detail and accuracy of input data

## Best Practices

- Provide work logs with dates, context, and outcomes for richer and more accurate reports
- Review and adjust AI-generated reports before sharing with managers or stakeholders
- Include both quantitative metrics and qualitative context in your input for balanced output

## Anti Patterns

- Do not paste sensitive company data, credentials, or personal information into the prompt
- Avoid sharing unedited AI-generated output directly with external stakeholders without review
- Do not rely on the skill to invent data for time periods where you have no actual work logs

## Security Audit

- - Safe to publish: true
- - Audited at: 2026-05-21T18:15:28.262\+00:00
- - Summary: Static analysis flagged two high-severity patterns: weak cryptographic algorithm on line 4 and high file entropy \(6.21 bits\) on line 1. Both are false positives triggered by UTF-8 encoded Chinese text which confuses ASCII-oriented pattern heuristics. Line 4 contains only a Chinese business description with no cryptographic code. The entropy level is normal for multilingual text, not encrypted content. This single-file markdown skill has no executable code, network calls, or data handling. Verified safe to publish.

## Stats

- - Views: 0
- - Downloads: 0
- - Favorites: 0
- - Popularity score: 0