agent-development-pack
Curated bundle for building, testing, and coordinating AI agent systems. Includes multi-agent orchestration, agent testing, cross-agent handoff, MCP server building, and prompt engineering. Use when developing AI agent workflows or multi-agent systems.
Best use case
agent-development-pack is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Curated bundle for building, testing, and coordinating AI agent systems. Includes multi-agent orchestration, agent testing, cross-agent handoff, MCP server building, and prompt engineering. Use when developing AI agent workflows or multi-agent systems.
Teams using agent-development-pack should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-development-pack/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-development-pack Compares
| Feature / Agent | agent-development-pack | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Curated bundle for building, testing, and coordinating AI agent systems. Includes multi-agent orchestration, agent testing, cross-agent handoff, MCP server building, and prompt engineering. Use when developing AI agent workflows or multi-agent systems.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Agent Development Pack A curated bundle for building, testing, and coordinating AI agent systems with proper handoff and tool integration. ## What's Included - **agent-swarm-orchestrator** — Design multi-agent systems with coordinated swarms and task distribution - **agent-testing-patterns** — Test agent tool use, non-deterministic outputs, and multi-turn conversations - **cross-agent-handoff** — Transfer context between agent sessions with structured handoff protocols - **mcp-builder** — Build MCP (Model Context Protocol) servers for extending agent capabilities - **prompt-engineering-patterns** — Design effective prompts with structured formats and chain-of-thought ## Getting Started Install this bundle when building AI agent systems. The recommended workflow: 1. **Design:** Use prompt-engineering-patterns to architect system prompts and tool definitions 2. **Build:** Use mcp-builder for custom tool servers and agent-swarm-orchestrator for multi-agent coordination 3. **Test:** Use agent-testing-patterns for unit, integration, and E2E agent testing 4. **Coordinate:** Use cross-agent-handoff for reliable session continuity This pack is the foundation for ORGAN-IV (orchestration) agent development.
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Phase 2 of the pentaphase structural-overhaul protocol. Classifies entities, standardizes attributes, establishes relationships, and designs the access framework. Use when the user invokes phase 2 of an overhaul, asks to "design the taxonomy" or "model the structure", or has completed a landscape audit and is ready to redesign. Consumes phase-1-landscape-report.md; produces phase-2-taxonomy-model.md.
systemic-ingestion-normalization
Phase 4 of the pentaphase structural-overhaul protocol. Purges redundancies, enriches and aligns legacy entities to the new schema, executes phased ingestion into the new environment, and audits integrity. Use when the user invokes phase 4 of an overhaul, asks to "migrate the data" or "ingest into the new system", or has a configured environment ready to accept legacy entities. Consumes phase-3-environment-spec.md; produces phase-4-ingestion-report.md.
system-environment-configuration
Phase 3 of the pentaphase structural-overhaul protocol. Translates the taxonomy model into objective technical criteria, evaluates candidate mechanisms or frameworks, instantiates the chosen architecture, and programs validation rules. Use when the user invokes phase 3 of an overhaul, asks to "select a system" or "configure the environment", or has a taxonomy model and is ready to choose technology. Consumes phase-2-taxonomy-model.md; produces phase-3-environment-spec.md.
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Threads the full five-phase structural-overhaul protocol — landscape discovery, taxonomy design, environment configuration, systemic ingestion, governance evolution — for any substrate the user names. Use when the user requests a structural overhaul, system redesign, or end-to-end restructuring of a documentation system, asset registry, code monorepo, knowledge base, or operational workflow; or when they explicitly invoke the pentaphase methodology. Coordinates handoffs between phase-skills and seats validation gates between phases.
landscape-discovery-audit
Phase 1 of the pentaphase structural-overhaul protocol. Inventories assets, maps current flow, identifies friction, and defines value metrics for any substrate. Use when the user invokes phase 1 of an overhaul, requests a baseline audit, asks to "discover the landscape" of a system, or wants to understand current state before redesigning. Produces phase-1-landscape-report.md.
governance-evolution-protocol
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