Integration Map

How the 4 MyClaude suites (25 agents, 31 registered hub skills routing to 189 sub-skills) connect to each other and to external tools.

Suite Dependencies

Suite

Integrates With

agent-core

All suites (orchestration layer). MCP: Sequential Thinking, Context7.

dev-suite

Internal: all 9 agents cross-delegate freely. MCP: Serena, GitHub.

research-suite

agent-core (reasoning), science-suite (Stage 6 JAX/Julia/MD delegation from research-spark-orchestrator). 11 registered skills (8-stage pipeline + 2 hubs + standalone scientific-review) route to 5 methodology sub-skills. MCP: Context7 for journal guideline lookups.

science-suite

agent-core (reasoning), dev-suite (packaging), research-suite (invoked for Stage 6 implementation). Internal: julia-pro ↔ julia-ml-hpc (SciML vs ML/HPC boundary), neural-network-master ↔ julia-ml-hpc (theory vs Julia impl). 14 hub skills route to 112 sub-skills. MCP: Context7.

MCP Server Roles

Server

Command

Used By

Serena

/code-analyze

engineering, infrastructure, quality agents for symbol navigation

Context7

/docs-lookup

All agents for up-to-date library documentation

Sequential Thinking

/ultra-think

@reasoning-engine for structured multi-step analysis

Intra-Suite Delegation Patterns

agent-core (3 agents): Fully connected triangle — orchestrator, reasoning-engine, and context-specialist each delegate to the other two.

dev-suite (9 agents): Free internal delegation with key edges:

  • software-architect ↔ devops-architect (architecture ↔ infrastructure)

  • quality-specialist ↔ debugger-pro (testing ↔ debugging)

  • automation-engineer ↔ devops-architect (CI/CD ↔ deployment)

  • sre-expert ↔ devops-architect (reliability ↔ infrastructure)

research-suite (2 agents): Pipeline-gated with optional cross-suite fan-out.

  • research-spark-orchestrator → research-expert: Off-pipeline methodology questions

  • research-spark-orchestrator → jax-pro / julia-pro / simulation-expert (science-suite): Stage 6 numerical prototype implementation

  • research-spark-orchestrator → nonlinear-dynamics-expert / statistical-physicist (science-suite): Stages 4-5 theory work

  • research-expert: No intra-suite delegation (one-off methodology specialist)

science-suite (11 agents): Hub-and-spoke with domain boundaries.

  • julia-pro ↔ julia-ml-hpc: SciML/ODE boundary — julia-pro owns UDEs and Lux.jl-for-physics; julia-ml-hpc owns ML training, GPU, and HPC

  • neural-network-master → julia-ml-hpc: DL theory → Julia implementation

  • ml-expert → julia-ml-hpc: Python ML → Julia ML pipelines

  • simulation-expert → julia-ml-hpc: HPC → Julia GPU kernels

  • nonlinear-dynamics-expert → julia-pro / jax-pro: Theory → implementation

  • statistical-physicist → jax-pro: Theory → JAX implementation

Skill Coverage

All 38 registered skills route to 179 sub-skills with 100% Expert Agent coverage:

Suite

Agents

Registered Skills

Sub-Skills

Coverage

agent-core

3

4

13

100% — agent-systems, reasoning-and-memory, llm-engineering, thinkfirst

dev-suite

9

9

49

100% — mapped across 9 domain agents

research-suite

2

11

5

100% — scientific-review standalone + 8-stage pipeline + research-practice hub

science-suite

11

14

112

100% — including Julia ML/HPC and nonlinear dynamics hubs

Official Plugin Agents

18 agents from 8 official plugins complement the 25 MyClaude domain experts. See the Agent Teams Guide for team configurations that integrate these agents.

Key integration patterns:

  • Build + Review: MyClaude agents produce code, official plugin agents validate it.

  • Quality Gate Enhancers: Add pr-review-toolkit agents to any team for automated review.

  • Agent SDK: Use agent-sdk-dev verifiers alongside @ai-engineer for SDK projects.

Agent Teams

10 focused team configurations with 20 variants and long-running workflow protocol (v3.5.2):

  1. feature-dev — Build any feature end-to-end

  2. debug (5 variants) — All debugging + incident response

  3. quality-gate (2 variants) — Code review + security audit

  4. api-infra (2 variants) — APIs + cloud + CI/CD + config

  5. sci-compute (7 variants) — All scientific computing (auto-detects domain)

  6. modernize — Legacy migration + refactoring

  7. ai-engineering (1 variant) — LLM apps + RAG + multi-agent

  8. ml-deploy (2 variants) — Model deploy + data pipelines + performance

  9. docs-publish (1 variant) — Documentation + reproducibility

  10. plugin-forge — Claude Code extensions

Use /agent-core:team-assemble list to browse all teams, or run it with no arguments in a project root for a codebase-aware recommendation.