Browse the metahub catalog

Onboard AI agents like fresh engineers: generate, inject, and maintain a compressed AIBOARDING.md per repo via committed hooks

SDD WORK-PIPELINE Agent — Requirements analysis & development 6-agent full pipeline with DAG-based orchestration and sliding window context management

AI-powered job application framework built on Claude Code.

Domain-specific expert agents for validation, knowledge-graph, and other specialized tasks

Agents for content marketing, customer support, and sales automation

AI-powered job application framework built on Claude Code.

Agents for academic, market, and technical research, synthesis, and reporting

Agents for code review, security audits, debugging, and quality assurance

Captures executable contracts and coding conventions into .trellis/spec/ documents. Use when learning something valuable from debugging, implementing, or discussion that should be preserved for future sessions.

Five-agent meta-orchestration kit from operator-kit: design, build, scout, research, and critic specialists

Agents for podcasts, audio/video, transcription, OCR, and content production pipelines

Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, or workflows generated by trellis init.

Expert agents for specific programming languages (Python, Go, Rust, etc.)

Agents for cloud infrastructure, DevOps, and database operations

Comprehensive quality verification: spec compliance, lint, type-check, tests, cross-layer data flow, code reuse, and consistency checks. Use when code is written and needs quality verification, before committing changes, or to catch context drift during long sessions.

Agents for writing, formatting, and validating documentation and technical content

Expert agents for software architecture, backend development, and system design

Deep bug analysis to break the fix-forget-repeat cycle. Analyzes root cause category, why fixes failed, prevention mechanisms, and captures knowledge into specs. Use after fixing a bug to prevent the same class of bugs.

Agents for UI/UX design, accessibility, and user experience optimization

Agents for data engineering, machine learning, and AI development

Guides collaborative requirements discovery before implementation. Creates task directory, seeds PRD, asks high-value questions one at a time, researches technical choices, and converges on MVP scope. Use when requirements are unclear, there are multiple valid approaches, or the user describes a new feature or complex task.

Expert agents for cryptocurrency trading, DeFi strategies, and market analysis

Agents for business analysis, financial modeling, and KPI tracking

Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.

Specialized agents for blockchain development, smart contracts, and Web3 applications

Agents for multi-agent orchestration, MCP tooling, and agentic workflows

AI 编程超能力中文增强版：20 个 skills（14 翻译 + 4 中国原创 + 2 上游历史保留），支持 Claude Code / Hermes Agent / Cursor / Claw Code / Qoder 等 18 款工具

Build AG2 (AutoGen) multi-agent systems with slash commands: scaffold agents, wire workflows, create tools, and review code

Debug issues by investigating logs, database state, and git history

Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support

Find unused functions and dead code in the codebase

Create handoff document for transferring work to another session

Harness LLMs with Multi-Agent Programming

Create or update continuity ledger for state preservation across clears

Create git commits with user approval and no Claude attribution

OpenAgentsControl — multi-agent orchestration for Claude Code. Context-aware development with skills, subagents, parallel execution, and automated code review.

Claude Code CLI commands, flags, headless mode, and automation patterns

Workflow orchestrator that chains existing skills for feature development

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging

AST-based code search and refactoring via ast-grep MCP

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration

Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

Guide for integrating Agentica SDK with Claude Code CLI proxy

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.