Skills

Transcribes audio recordings into structured text with speaker diarization, timestamps, and formatting. Supports meeting recordings, interviews, podcasts, and lectures. Handles multiple languages and accents with automatic language detection and optional translation.

Performs a full App Store Optimization health check across 10 weighted dimensions: title, subtitle, keyword field, description, screenshots, preview video, ratings and reviews, icon, keyword rankings, and conversion signals. Produces a scored ASO report card (0–100) with quick wins, high-impact changes, and strategic recommendations prioritized by effort and expected impact.

Crafts App Store metadata — title, subtitle, keyword field, and description — that maximizes both search visibility and conversion rate. Applies platform-specific character limits and indexing rules for iOS and Android, provides multiple copy variants per field, and outputs a keyword coverage matrix with before/after comparison.

Discovers, evaluates, and prioritizes App Store keywords for mobile apps. Expands seed keywords using autocomplete suggestions, competitor rankings, and category analysis, then scores each keyword by volume, difficulty, and relevance to build a prioritized keyword strategy with primary, secondary, long-tail, and aspirational buckets.

Fetches current weather conditions and forecasts for any location using free public APIs. Provides temperature, humidity, wind, precipitation probability, and multi-day forecasts. Useful for agents that need environmental context for travel planning, event scheduling, or outdoor activity recommendations.

Generates professional PowerPoint presentations from text descriptions, outlines, or research notes. Creates structured slide decks with appropriate layouts, bullet points, speaker notes, and visual hierarchy. Outputs valid PPTX files or structured JSON for presentation frameworks.

Records learnings, mistakes, and corrections to enable continuous improvement of AI agent behavior. Maintains a structured memory of failures, user corrections, outdated knowledge, and discovered better approaches. Reviews past learnings before executing important tasks to avoid repeating mistakes.

Generates structured changelogs from git history, commit messages, or PR descriptions. Follows Keep a Changelog format, groups changes by type (Added, Changed, Fixed, Removed), and highlights breaking changes. Supports semantic versioning recommendations.

Generates clear, structured pull request descriptions from code diffs. Includes summary of changes, motivation, testing notes, and reviewer guidance. Follows team conventions and links related issues automatically.

Generates clear, conventional commit messages from code diffs. Follows Conventional Commits specification with appropriate type prefixes, scopes, and descriptions. Handles breaking changes, multi-file changes, and produces both concise subjects and detailed bodies.