arn-assessing
This skill should be used when the user says "assessing", "arness assessing", "assess", "assess codebase", "technical review", "codebase assessment", "find…
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.
/arn-infra-assessContext 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
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
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
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:
**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.
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Resolve the application project based on topology:
**Monorepo (`Application path: .`):**
**Separate repo:**
**Infra-only:**
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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 `${CLAUDE_PLUGIN_ROOT}/skills/arn-infra-assess/references/agent-invocation-guide.md` for the exact prompt template and expected return format.
The agent returns a comprehensive analysis covering application components, data layer, external integrations, networking, security, and performance indicators.
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Ask the user structured questions to refine the infrastructure requirements. Adapt question depth based on experience level.
> Read `${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:
For beginner experience level, use the simplified question versions from the reference and cap at 4-5 questions total.
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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
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.
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