anthropics/knowledge-work-plugins

architecture

Create or evaluate an architecture decision record (ADR).

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill architecture

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

/architecture

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Create an Architecture Decision Record (ADR) or evaluate a system design.

Usage

/architecture $ARGUMENTS

Modes

Create an ADR: "Should we use Kafka or SQS for our event bus?" Evaluate a design: "Review this microservices proposal" System design: "Design the notification system for our app"

See the system-design skill for detailed frameworks on requirements gathering, scalability analysis, and trade-off evaluation.

Output — ADR Format

markdown
# ADR-[number]: [Title]

**Status:** Proposed | Accepted | Deprecated | Superseded
**Date:** [Date]
**Deciders:** [Who needs to sign off]

## Context
[What is the situation? What forces are at play?]

## Decision
[What is the change we're proposing?]

## Options Considered

### Option A: [Name]
| Dimension | Assessment |
|-----------|------------|
| Complexity | [Low/Med/High] |
| Cost | [Assessment] |
| Scalability | [Assessment] |
| Team familiarity | [Assessment] |

**Pros:** [List]
**Cons:** [List]

### Option B: [Name]
[Same format]

## Trade-off Analysis
[Key trade-offs between options with clear reasoning]

## Consequences
- [What becomes easier]
- [What becomes harder]
- [What we'll need to revisit]

## Action Items
1. [ ] [Implementation step]
2. [ ] [Follow-up]

If Connectors Available

If ~~knowledge base is connected:

  • Search for prior ADRs and design docs
  • Find relevant technical context

If ~~project tracker is connected:

  • Link to related epics and tickets
  • Create implementation tasks

Tips

  1. State constraints upfront — "We need to ship in 2 weeks" or "Must handle 10K rps" shapes the answer.
  2. Name your options — Even if you're leaning one way, I'll give a more balanced analysis with explicit alternatives.
  3. Include non-functional requirements — Latency, cost, team expertise, and maintenance burden matter as much as features.

Related by task

from this repository

More skills

All skills
anthropics
Official

brand-review

Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before/after fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.

installs
2
GitHub stars
32.9K
Updated
Oct 24
anthropics
Official

risk-assessment

Identify, assess, and mitigate operational risks. Trigger with "what are the risks", "risk assessment", "risk register", "what could go wrong", or when the user is evaluating risks associated with a project, vendor, process, or decision.

installs
2
GitHub stars
32.9K
Updated
Oct 24
anthropics
Official

design-critique

Get structured design feedback on usability, hierarchy, and consistency. Trigger with "review this design", "critique this mockup", "what do you think of this screen?", or when sharing a Figma link or screenshot for feedback at any stage from exploration to final polish.

installs
2
GitHub stars
32.6K
Updated
Oct 24
anthropics
Official

data-visualization

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

installs
3
GitHub stars
31.6K
Updated
Oct 22