docs-as-marketing
Transform technical documentation into a growth engine. Learn to write docs that improve SEO, reduce time-to-value, and convert developers by mastering information architecture and developer-focused writing.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
487 skills found
Transform technical documentation into a growth engine. Learn to write docs that improve SEO, reduce time-to-value, and convert developers by mastering information architecture and developer-focused writing.
Structured 6-phase workflow for planning and implementing features, skills, and architectural changes with automated tool discovery and safety verification.
Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.
Extract, deobfuscate, and port WebGL/Canvas/Shader visual effects from websites into standalone, native JavaScript projects.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement in AI agents.
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.
Comprehensive Google Docs and Drive management tool. Supports document creation via Markdown, text formatting, structure analysis, and full file operations including upload, download, and sharing.
Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.
Automatically keep technical documentation in sync with codebase changes by analyzing git diffs.