doc-coauthoring
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
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163 skills found
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
Systematically improve marketing copy through a 7-pass editing framework to boost clarity, tone, and conversion impact.
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
Analyze and optimize marketing pages for higher conversion rates. Includes frameworks for homepages, landing pages, and pricing pages to improve messaging, UX, and CTAs.
Search codebases efficiently using ripgrep for lightning-fast text patterns and ast-grep for precise, syntax-aware structural code analysis.
Comprehensive ASO toolkit for App Store & Google Play. Master keyword research, metadata optimization, competitor tracking, review analysis, and performance benchmarking for mobile app growth.
AI-powered generator for viral XiaoHongShu posts, including titles, captions, hashtags, cover image prompts, and posting strategies.
Automate Instagram posts via Telegram or CLI. Features residential proxy bypass, session caching, and WaveSpeed image integration.
Expert social media strategist for content creation, scheduling, and repurposing across LinkedIn, Twitter/X, Instagram, TikTok, and Facebook. Includes hook formulas, content pillar frameworks, and short-form video optimization.
Perform advanced video analysis using Google's Gemini API: summarize content, transcribe audio, extract timestamps, clip segments, and analyze YouTube URLs or local files with support for multiple models and long contexts.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).