productivity▌

Supermemory is the long-term and short-term memory and context infrastructure for AI agents, designed to provide state-of-the-art memory and context management capabilities.

Build VoIP calling features that integrate with the native iOS call UI using CallKit and PushKit. Covers incoming/outgoing call flows, VoIP push registration, audio session coordination, and call directory extensions. Targets Swift 6.2 / iOS 26+.

Use this skill to display markdown files in a dedicated panel with rich formatting and live file watching.

Generate professional subtitles and captions for videos using each::sense. This skill creates accurate transcriptions, multi-language subtitles, animated captions, and various export formats optimized for social media, video production, and accessibility.

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.

Analyze current repository context and suggest relevant Agent Skills from the GitHub awesome-copilot repository that are not already available in this repository. Agent Skills are self-contained folders located in the skills folder of the awesome-copilot repository, each containing a SKILL.md file with instructions and optional bundled assets.

Comprehensive Postgres guidance covering schema design, query optimization, replication, and PlanetScale-specific operations. \n \n Covers eight core topics: schema design, indexing, partitioning, query patterns, MVCC/VACUUM, process and memory architecture, WAL operations, and backup/recovery \n Includes PlanetScale-specific references for connection pooling, PgBouncer configuration, extensions, and the pscale CLI \n Provides optimization checklists, monitoring strategies via pg_stat views, and

bdd-feature-generator

Identify high-performing TikTok videos, extract viral hooks, and generate actionable content insights. \n \n Fetches videos from tracked accounts using Apify's TikTok Scraper, then applies statistical outlier detection to surface top performers \n Analyzes the top 5 outlier videos with AI to extract hook techniques, content structure, retention patterns, and CTA strategies \n Generates structured markdown reports ranking videos by engagement, mapping content patterns, and synthesizing replicable

MySQL development best practices for schema design, query optimization, and database administration. \n \n Covers schema design with InnoDB as default engine, appropriate data types (DECIMAL for financial data, utf8mb4 charset), and primary key strategies including AUTO_INCREMENT and UUID storage \n Indexing strategies including B-tree, FULLTEXT, and covering indexes with guidelines on column selectivity and composite index ordering \n Query optimization using EXPLAIN analysis, prepared statemen