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.
184 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.
Guide for creating properly structured YAML configuration files for MassGen. Use this when creating new configs for examples, case studies, testing, or feature demonstrations.
Agent assignment matrix, blocker escalation, and TDM coordination patterns for multi-agent software workflows.
Preserve successful Python code executions as reusable tools within the gentools package structure, utilizing Pydantic models for structured output and type-safe interfaces.
Cross-agent interaction skill via ANP protocol. Use decentralized identity (DID) to discover and invoke remote agents like maps, booking, and logistics services across the ANP network.
A Git-backed memory store for agent skills. Download, version, edit, and share custom agent behaviors and procedural knowledge using a CLI.
Standardized detective skill integration for agent roles. Maps agents to code-analysis skills and enforces claudemem usage for memory-indexed code investigation.
Automated GitHub Pull Request creation with task validation, test execution, Conventional Commits formatting, and project-aware label suggestions.
Automate GitHub issue triage by analyzing reports against the codebase, verifying technical claims, and providing expert-driven responses to resolve invalid issues.
Comprehensive guide for scaffold, configure, and structure gitagent projects. Manage agent.yaml, SOUL.md, RULES.md, and project directory layouts.
Creates professional, editable PowerPoint (.pptx) presentations with AI-generated full-slide images, brand consistency, and style references.
Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.