npx claudepluginhub diegouis/provectus-marketplace --plugin proagent-agentic-engineeringWant just this skill?
Then install: npx claudepluginhub u/[userId]/[slug]
Comprehensive skill for designing, building, orchestrating, and optimizing AI agent systems with Claude Code. Covers agent design patterns, multi-agent orchestration, skill/command/hook creation, MCP server development, prompt engineering, plugin architecture, agent evaluation, context engineering, autonomous coding loops, multi-backend orchestration, trust/autonomy frameworks, spec-driven development, thinking model commands, and the Workflow Factory for template-driven artifact creation with complexity assessment and inter-artifact contracts. This skill should be used when the user mentions: - Creating agents, skills, commands, hooks, or plugins for Claude Code - Multi-agent orchestration, parallel agents, subagent workflows - MCP server development or integration - Prompt engineering, context engineering, or prompt-driven development - Agent evaluation, testing agent systems, or agent quality assurance - Claude Code extensions, customization, or configuration - Agentic development workflows (ADW), trust ladder, progressive autonomy - Subagent-driven development (SDD), dispatching parallel agents - File-based planning with hooks, plan execution with agents - Autonomous coding loops (ralph, casdk-harness, Auto-Claude, gastown) - Multi-backend adapters (Claude, Kiro, Gemini, Codex) - Spec-driven development (AWOS spec/implement/verify, ProAgent SDLC pipeline) - Tool registry, plugin lifecycle, knowledge graph integration - Thinking models, first-principles reasoning, mental model commands - 3-file planning pattern, context handoff, session persistence - Workflow factory, create workflow, generate artifacts - Complexity assessment (simple, medium, complex) - Design decisions, mandatory design gates - Expert system trio (plan, build, improve), self-improving workflows - Inter-artifact contracts, producer-consumer data passing - Report types (summary, diff, handoff, progress, audit, path-only) - Error handling patterns (gate guard, step fallback, graceful degradation) - Naming conventions, artifact templates, coherence validation Do NOT use for: - General software development without an agentic component (use sdlc or backend/frontend skills) - DevOps infrastructure without agent involvement (use devops skills) - Pure testing without agent evaluation (use qa skills)
This skill is limited to using the following tools:
references/artifacts.mdreferences/complexity.mdreferences/component-architecture.mdreferences/contracts.mdreferences/error-handling.mdreferences/external-frameworks.mdreferences/naming-conventions.mdreferences/orchestration-patterns.mdreferences/prompt-engineering.mdreferences/quality-checklists.mdreferences/report-types.mdreferences/workflow-patterns.mdtemplates/agent-body.mdtemplates/command-body.mdtemplates/creation-report.mdtemplates/design-decisions.mdtemplates/expert-build.mdtemplates/expert-improve.mdtemplates/expert-plan.mdtemplates/hook-body.pyBuilding Agentic Systems
Comprehensive skill for building, orchestrating, and optimizing AI agent systems using Claude Code.
Overview
This skill covers the full lifecycle of agentic engineering: from designing individual agents to orchestrating complex multi-agent workflows, building MCP servers, creating plugins, and evaluating agent systems.
When Invoked Without Clear Intent
MANDATORY: You MUST call the AskUserQuestion tool — do NOT render these options as text:
AskUserQuestion( header: "Agentic", question: "What agentic engineering task do you need help with?", options: [ { label: "Create Components", description: "Build agents, skills, commands, hooks, plugins, or MCP servers" }, { label: "Multi-Agent Orchestration", description: "Agent teams, autonomous loops, context engineering, spec-driven dev" }, { label: "Prompt Engineering", description: "Prompt design, trust ladder, agent evaluation, thinking models" }, { label: "Workflow Factory", description: "Template-driven artifact creation with complexity assessment" } ] )
If the user selects "Other", present: Quality Checklists, Error Handling Patterns, Inter-Artifact Contracts, Report Types.
Reference Routing
CONTEXT GUARD: Load reference files only when the user's request matches a specific topic below. Do NOT load all references upfront.
| User Intent | Reference File |
|---|---|
| Creating agents, skills, commands, hooks, plugins, or MCP servers | references/component-architecture.md |
| Multi-agent orchestration, autonomous coding loops, context engineering, agent teams, spec-driven dev | references/orchestration-patterns.md |
| Prompt engineering, context engineering, trust ladder, agent evaluation, thinking models | references/prompt-engineering.md |
| Step-by-step workflows for creating agents, skills, commands, hooks, plugins, MCP servers | references/workflow-patterns.md |
| Quality checklists, AWOS architecture, confirmation patterns, Composio SDK, decision matrix | references/quality-checklists.md |
| Artifact frontmatter schemas, expert systems, agent teams, headless automation | references/artifacts.md |
| Complexity assessment (Simple/Medium/Complex) for artifact depth | references/complexity.md |
| Inter-artifact contracts, producer-consumer data passing | references/contracts.md |
| Error handling patterns (Gate Guard, Step Fallback, Graceful Degradation, Pipeline Abort, Retry) | references/error-handling.md |
| Report type selection (Summary, YAML, Diff, Progress, Handoff, Comparison, Audit, Path-Only) | references/report-types.md |
| File naming, variable naming, placement rules | references/naming-conventions.md |
| Body templates for commands, skills, agents, hooks, expert systems | templates/ directory |
Visual Diagramming with Excalidraw
Use the Excalidraw MCP server to generate agent orchestration flows, MCP server architecture diagrams, plugin component maps, and fan-out/fan-in pattern visualizations. Describe what you need in natural language.
Similar Skills
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.