/arn-infra-assess
This skill should be used when the user says "assess infrastructure", "infra assess", "arn infra assess", "infrastructure assessment", "analyze infrastructure needs", "what infrastructure do I need", "infrastructure audit", "app infrastructure assessment", "full infra
$ npx -y skills add AppsVortex/arness --skill arn-infra-assess --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/arn-infra-assess
Context preview
The summary Claude sees to decide when to auto-load this skill.
This skill should be used when the user says "assess infrastructure", "infra assess", "arn infra assess", "infrastructure assessment", "analyze infrastructure needs", "what infrastructure do I need", "infrastructure audit", "app infrastructure assessment", "full infra
SKILL.md
arn-infra-assess.SKILL.mdname: arn-infra-assess
description: >-
This skill should be used when the user says "assess infrastructure",
"infra assess", "arn infra assess", "infrastructure assessment",
"analyze infrastructure needs", "what infrastructure do I need",
"infrastructure audit", "app infrastructure assessment", "full infra assessment",
"infrastructure review", "assess my app", "un-defer infrastructure",
"infra backlog", or wants a comprehensive analysis of their application's
infrastructure needs, including processing deferred infrastructure backlogs,
to produce a prioritized infrastructure backlog published as issues.
version: 1.0.0
Arness Infra Assess
Perform a comprehensive infrastructure assessment of the application. Read the deferred backlog (if exists), analyze the complete application codebase, ask structured assessment questions, and produce a prioritized infrastructure backlog published as issues to the issue tracker.
This skill serves two primary use cases: 1. **Un-deferring:** When the user deferred infrastructure during `arn-infra-init` and is now ready to plan it 2. **Fresh assessment:** When the user wants a comprehensive infrastructure review of an existing application
Step 0: Ensure Configuration
Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-ensure-config/references/step-0-fast-path.md` and follow its instructions. This guarantees a user profile exists and `## Arness` is configured with Arness Infra fields before proceeding.
After Step 0 completes, read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-ensure-config/references/experience-derivation.md` and derive the user's infrastructure experience level from their profile.
Check for at least one Arness Infra-specific field (`Infra plans directory` or `Infra specs directory`) within `## Arness`. If neither is present, Arness Infra has not been fully configured (the `## Arness` section may exist from ensure-config defaults or another plugin). This is acceptable -- assess can still run with defaults.
Extract:
- **Deferred** -- if `yes`, read the deferred backlog
- **Project topology** -- how to resolve the application project
- **Application path** -- path to the application project root
- **Providers** -- configured providers (may be minimal if deferred)
- **Experience level** -- derived from user profile (see experience-derivation.md). If no profile exists, check for legacy `Experience level` in `## Arness` as fallback.
- **Issue tracker** -- where to publish backlog items
- **Jira site** and **Jira project** -- if Issue tracker is jira
Workflow
Step 1: Check Deferred Status and Load Backlog
**If `Deferred: yes`:** 1. Read `.arness/infra/deferred-backlog.md` if it exists 2. Inform the user: "You previously deferred infrastructure planning. I found [N] accumulated infrastructure observations from your feature development. These will seed the assessment." 3. Present the deferred backlog items for context
**If `Deferred: no` (or missing):** Continue to Step 2 without deferred backlog context.
---
Step 2: Resolve Application Context
Resolve the application project based on topology:
**Monorepo (`Application path: .`):**
- Read codebase patterns from the local code-patterns directory
- Read `architecture.md` for technology stack and dependencies
- Scan the source tree for infrastructure-relevant patterns
**Separate repo:**
- Navigate to `Application path`
- Read the application's `## Arness` config, code patterns, and architecture
- If the path is unreachable, inform the user and ask them to describe the application stack manually
**Infra-only:**
- No application to analyze
- Ask the user to describe the application or provide a list of services and their requirements
- Proceed with user-provided context
---
Step 3: Full Application Analysis
Invoke the `arn-infra-request-analyzer` agent via the Task tool in Mode B (full application analysis), passing the model from `.arness/agent-models/infra.md` as the `model` parameter (see `plugins/arn-infra/skills/arn-infra-ensure-config/references/ensure-config.md` "Dispatch convention" for fallback). Pass the loaded codebase patterns, architecture content, deferred backlog (if any), and infrastructure config fields as structured context.
> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-assess/references/agent-invocation-guide.md` for the exact prompt template and expected return format.
The agent returns a comprehensive analysis covering application components, data layer, external integrations, networking, security, and performance indicators.
---
Step 4: Structured Assessment Questions
Ask the user structured questions to refine the infrastructure requirements. Adapt question depth based on experience level.
> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-assess/references/assessment-questionnaire.md` for the full question set with options, beginner versions, and selection logic.
Select questions using the **Question Selection Logic** from the questionnaire reference:
- **Always ask:** Availability (Q1), Traffic (Q2), Budget (Q4)
- **Conditional:** Traffic patterns (Q3), Compliance (Q5), Geography (Q6), Latency (Q7), Data volume (Q8) -- based on application analysis results
For beginner experience level, use the simplified question versions from the reference and cap at 4-5 questions total.
---
Step 5: Produce Prioritized Infrastructure Backlog
Combine the agent's analysis with the user's answers to produce a prioritized backlog.
Categorize each item into one of three priority levels: **Foundation** (must-do-first, e.g., compute, primary database, networking), **Core** (important for production readiness, e.g., caching, object storage, monitoring), or **Enhancement** (incremental improvements, e.g., CDN, auto-scaling, DR).
For each backlog item, produce structured content following the backlog item template.
> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-assess/references/backlog-item-template.md` for the item format and priorit
Read more
name: arn-infra-assess description: >- This skill should be used when the user says "assess infrastructure", "infra assess", "arn infra assess", "infrastructure assessment", "analyze infrastructure needs", "what infrastructure do I need", "infrastructure audit", "app infrastructure assessment", "full infra assessment", "infrastructure review", "assess my app", "un-defer infrastructure", "infra backlog", or wants a comprehensive analysis of their application's infrastructure needs, including processing deferred infrastructure backlogs, to produce a prioritized infrastructure backlog published as issues. version: 1.0.0
Arness Infra Assess
Perform a comprehensive infrastructure assessment of the application. Read the deferred backlog (if exists), analyze the complete application codebase, ask structured assessment questions, and produce a prioritized infrastructure backlog published as issues to the issue tracker.
This skill serves two primary use cases: 1. **Un-deferring:** When the user deferred infrastructure during `arn-infra-init` and is now ready to plan it 2. **Fresh assessment:** When the user wants a comprehensive infrastructure review of an existing application
Step 0: Ensure Configuration
Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-ensure-config/references/step-0-fast-path.md` and follow its instructions. This guarantees a user profile exists and `## Arness` is configured with Arness Infra fields before proceeding.
After Step 0 completes, read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-ensure-config/references/experience-derivation.md` and derive the user's infrastructure experience level from their profile.
Check for at least one Arness Infra-specific field (`Infra plans directory` or `Infra specs directory`) within `## Arness`. If neither is present, Arness Infra has not been fully configured (the `## Arness` section may exist from ensure-config defaults or another plugin). This is acceptable -- assess can still run with defaults.
Extract:
- **Deferred** -- if `yes`, read the deferred backlog
- **Project topology** -- how to resolve the application project
- **Application path** -- path to the application project root
- **Providers** -- configured providers (may be minimal if deferred)
- **Experience level** -- derived from user profile (see experience-derivation.md). If no profile exists, check for legacy `Experience level` in `## Arness` as fallback.
- **Issue tracker** -- where to publish backlog items
- **Jira site** and **Jira project** -- if Issue tracker is jira
Workflow
Step 1: Check Deferred Status and Load Backlog
**If `Deferred: yes`:** 1. Read `.arness/infra/deferred-backlog.md` if it exists 2. Inform the user: "You previously deferred infrastructure planning. I found [N] accumulated infrastructure observations from your feature development. These will seed the assessment." 3. Present the deferred backlog items for context
**If `Deferred: no` (or missing):** Continue to Step 2 without deferred backlog context.
---
Step 2: Resolve Application Context
Resolve the application project based on topology:
**Monorepo (`Application path: .`):**
- Read codebase patterns from the local code-patterns directory
- Read `architecture.md` for technology stack and dependencies
- Scan the source tree for infrastructure-relevant patterns
**Separate repo:**
- Navigate to `Application path`
- Read the application's `## Arness` config, code patterns, and architecture
- If the path is unreachable, inform the user and ask them to describe the application stack manually
**Infra-only:**
- No application to analyze
- Ask the user to describe the application or provide a list of services and their requirements
- Proceed with user-provided context
---
Step 3: Full Application Analysis
Invoke the `arn-infra-request-analyzer` agent via the Task tool in Mode B (full application analysis), passing the model from `.arness/agent-models/infra.md` as the `model` parameter (see `plugins/arn-infra/skills/arn-infra-ensure-config/references/ensure-config.md` "Dispatch convention" for fallback). Pass the loaded codebase patterns, architecture content, deferred backlog (if any), and infrastructure config fields as structured context.
> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-assess/references/agent-invocation-guide.md` for the exact prompt template and expected return format.
The agent returns a comprehensive analysis covering application components, data layer, external integrations, networking, security, and performance indicators.
---
Step 4: Structured Assessment Questions
Ask the user structured questions to refine the infrastructure requirements. Adapt question depth based on experience level.
> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-assess/references/assessment-questionnaire.md` for the full question set with options, beginner versions, and selection logic.
Select questions using the **Question Selection Logic** from the questionnaire reference:
- **Always ask:** Availability (Q1), Traffic (Q2), Budget (Q4)
- **Conditional:** Traffic patterns (Q3), Compliance (Q5), Geography (Q6), Latency (Q7), Data volume (Q8) -- based on application analysis results
For beginner experience level, use the simplified question versions from the reference and cap at 4-5 questions total.
---
Step 5: Produce Prioritized Infrastructure Backlog
Combine the agent's analysis with the user's answers to produce a prioritized backlog.
Categorize each item into one of three priority levels: **Foundation** (must-do-first, e.g., compute, primary database, networking), **Core** (important for production readiness, e.g., caching, object storage, monitoring), or **Enhancement** (incremental improvements, e.g., CDN, auto-scaling, DR).
For each backlog item, produce structured content following the backlog item template.
> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-assess/references/backlog-item-template.md` for the item format and priorit
Showing the first part of this file.
Arness — H not required. Structured AI workflows for Claude Code. From first idea to production deploy. Seven entry commands. That's all you need to remember.
Repo: AppsVortex/arness
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Open skill

