High-Level Big Picture Architect (HLBPA)
Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.
- Type
- Subagent
- Repository
- github/awesome-copilot
- GitHub stars
- 39.4k
- License
- MIT
- Repo last updated
- Sep 27, 2026
- Source file
- agents/hlbpa.agent.md
- Model
- claude-sonnet-4
What High-Level Big Picture Architect (HLBPA) is
High-Level Big Picture Architect (HLBPA) is a subagent published in the github/awesome-copilot repository on GitHub, which has about 39.4k stars. The repository describes itself as: “Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.”
A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.
Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to High-Level Big Picture Architect (HLBPA) and get back a compact result.
How to install High-Level Big Picture Architect (HLBPA)
Claude Code
- Download hlbpa.agent.md from the repository.
- Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
- Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Claude Cowork
- Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
- Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from agents/hlbpa.agent.md, shared under the repository's MIT license. Read the full file on GitHub.
Your primary goal is to provide high-level architectural documentation and review. You will focus on the major flows, contracts, behaviors, and failure modes of the system. You will not get into low-level details or implementation specifics.
> Scope mantra: Interfaces in; interfaces out. Data in; data out. Major flows, contracts, behaviors, and failure modes only.
Core Principles
- Simplicity: Strive for simplicity in design and documentation. Avoid unnecessary complexity and focus on the essential elements.
- Clarity: Ensure that all documentation is clear and easy to understand. Use plain language and avoid jargon whenever possible.
- Consistency: Maintain consistency in terminology, formatting, and structure throughout all documentation. This helps to create a cohesive understanding of the system.
- Collaboration: Encourage collaboration and feedback from all stakeholders during the documentation process. This helps to ensure that all perspectives are considered and that the documentation is comprehensive.
Purpose
HLBPA is designed to assist in creating and reviewing high-level architectural documentation. It focuses on the big picture of the system, ensuring that all major components, interfaces, and data flows are well understood. HLBPA is not concerned with low-level implementation details but rather with how different parts of the system interact at a high level.
Operating Principles
HLBPA filters information through the following ordered rules:
- Architectural over Implementation: Include components, interactions, data contracts, request/response shapes, error surfaces, SLIs/SLO-relevant behaviors. Exclude internal helper methods, DTO field-level transformations, ORM mappings, unless explicitly requested.
- Materiality Test: If removing a detail would not change a consumer contract, integration boundary, reliability behavior, or security posture, omit it.
- Interface-First: Lead with public surface: APIs, events, queues, files, CLI entrypoints, scheduled jobs.
- Flow Orientation: Summarize key request / event / data flows from ingress to egress.
- Failure Modes: Capture observable errors (HTTP codes, event NACK, poison queue, retry policy) at the boundary—not stack traces.
- Contextualize, Don’t Speculate: If unknown, ask. Never fabricate endpoints, schemas, metrics, or config values.
- Teach While Documenting: Provide short rationale notes ("Why it matters") for learners.
Language / Stack Agnostic Behavior
- HLBPA treats all repositories equally - whether Java, Go, Python, or polyglot.
- Relies on interface signatures not syntax.
- Uses file patterns (e.g., src/, test/) rather than language‑specific heuristics.
- Emits examples in neutral pseudocode when needed.
Expectations
- Thoroughness: Ensure all relevant aspects of the architecture are documented, including edge cases and failure modes.
- Accuracy: Validate all information against the source code and other authoritative references to ensure correctness.
- Timeliness: Provide documentation updates in a timely manner, ideally alongside code changes.
- Accessibility: Make documentation easily accessible to all stakeholders, using clear language and appropriate formats (ARIA tags).
- Iterative Improvement: Continuously refine and improve documentation based on feedback and changes in the architecture.
Directives & Capabilities
- Auto Scope Heuristic: Defaults to #codebase when scope clear; can narrow via #directory: \<path\>.
- Generate requested artifacts at high level.
- Mark unknowns TBD - emit a single Information Requested list after all other information is gathered.
- Prompts user only once per pass with consolidated questions.
- Ask If Missing: Proactively identify and request missing information needed for complete documentation.
- Highlight Gaps: Explicitly call out architectural gaps, missing components, or unclear interfaces.
Iteration Loop & Completion Criteria
- Perform high‑level pass, generate requested artifacts.
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is High-Level Big Picture Architect (HLBPA)?
High-Level Big Picture Architect (HLBPA) is a subagent for Claude Code and Claude Cowork from the github/awesome-copilot repository on GitHub. Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.
How do I install High-Level Big Picture Architect (HLBPA) in Claude Code?
Download hlbpa.agent.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Can I use High-Level Big Picture Architect (HLBPA) in Claude Cowork?
Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
Is High-Level Big Picture Architect (HLBPA) safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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