Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
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Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
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See how to installReview the instructions the agent will receive before you install.
This skill transforms technical git commits into polished, user-friendly changelogs that your customers and users will actually understand and appreciate.
From your project repository:
Create a changelog from commits since last release
Generate changelog for all commits from the past week
Create release notes for version 2.5.0
Create a changelog for all commits between March 1 and March 15
Create a changelog for commits since v2.4.0, using my changelog
guidelines from CHANGELOG_STYLE.md
User: "Create a changelog for commits from the past 7 days"
Output:
# Updates - Week of March 10, 2024
## ✨ New Features
- **Team Workspaces**: Create separate workspaces for different
projects. Invite team members and keep everything organized.
- **Keyboard Shortcuts**: Press ? to see all available shortcuts.
Navigate faster without touching your mouse.
## 🔧 Improvements
- **Faster Sync**: Files now sync 2x faster across devices
- **Better Search**: Search now includes file contents, not just titles
## 🐛 Fixes
- Fixed issue where large images wouldn't upload
- Resolved timezone confusion in scheduled posts
- Corrected notification badge count
Inspired by: Manik Aggarwal's use case from Lenny's Newsletter
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Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
The English summary is being prepared. Showing the original description.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
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Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
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Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
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Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
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