Agent Skills Hub

mcaf-devex

Optimize developer experience for multi-component solutions: standardize onboarding, inner-loop, debugging, and cross-platform setup to eliminate friction and tribal knowledge.

mind

Persistent, Git-friendly memory for Claude. Automatically store and retrieve project decisions, bug fixes, and coding patterns in a local .mv2 file.

with-context-agent

Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.

doc-reader

Read and navigate external documentation efficiently using llms.txt, MCP search, and smart parsing strategies.

context-management

Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.

land

Automated PR lifecycle management: monitors conflicts, resolves CI failures, handles review feedback, and executes squash-merges for safe code integration.

readme

Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.

session-intelligence-harvester

Captures session learnings into Reusable Intelligence Infrastructure (RII). Converts one-time bug fixes and pattern discoveries into permanent agent-executable knowledge to prevent recurrence and accelerate future development.

orchestrate

Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.

executing-plans

Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.

create-tasks

Creates well-formed, actionable engineering tasks from requirements using vertical slicing, INVEST principles, and Example Mapping.

training-data-curation

Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.