productivity▌

Persistence layer patterns for Spring Data JPA repositories, entities, queries, and advanced features. \n \n Create repository interfaces extending JpaRepository with derived queries, custom @Query methods, and automatic CRUD operations \n Configure entity relationships (one-to-one, one-to-many, many-to-many) with appropriate cascade types and fetch strategies \n Implement pagination, sorting, database auditing with timestamps and user tracking, and transaction management \n Optimize performance

Execute comprehensive network traffic analysis using Wireshark to capture, filter, and examine network packets for security investigations, performance optimization, and troubleshooting. This skill enables systematic analysis of network protocols, detection of anomalies, and reconstruction of network conversations from PCAP files.

This skill enables programmatic creation, editing, and manipulation of Microsoft PowerPoint (.pptx) presentations using the python-pptx library. Create professional slides with text, shapes, images, charts, and tables without manual editing.

Structured prompt template for generating standardized conventional commit messages. \n \n Provides XML-formatted workflow guiding users through staging changes, inspecting diffs, and constructing commits with type, scope, description, body, and footer fields \n Includes validation rules enforcing Conventional Commits specification compliance, with allowed types (feat, fix, docs, style, refactor, perf, test, build, ci, chore, revert) \n Offers six practical examples covering common commit patter

Role: Scroll Experience Architect

$22

Transcribe audio and video to text with speaker identification, word-level timestamps, and 90+ language support. \n \n Two models available: scribe_v2 for batch transcription with high accuracy, and scribe_v2_realtime for live transcription with ~150ms latency \n Speaker diarization labels each word with speaker ID; keyterm prompting helps recognize domain-specific vocabulary and proper nouns \n Word-level timestamps include type classification (word, spacing, audio event) for precise timing and

Transform generic writing into Xiaohongshu-native format with authentic, relatable style. \n \n Converts formal article structure into short paragraphs, numbered lists, and visual hierarchy optimized for fast mobile browsing \n Applies platform-specific tone: conversational language (\"姐妹们\"), moderate emoji use (1–2 per section), and real-experience framing over instructional voice \n Preserves all original images and captions while restructuring text into 300–800 word posts with clear section

Seamless AI agent session transfers with comprehensive context preservation and validation. \n \n Automatically triggers on user requests, context window capacity warnings, task milestones, or work session endings; proactively suggests handoffs after substantial work \n CREATE workflow generates timestamped handoff documents with pre-filled project metadata, git history, and modified files, then validates for completeness and security \n RESUME workflow loads handoffs with staleness checking, co

Essential Datadog skills for AI agents.