arn-assessing
This skill should be used when the user says "assessing", "arness assessing", "assess", "assess codebase", "technical review", "codebase assessment", "find…
Optional customization and upgrade tool. This skill should be used when the user says "initialize arness code", "arness code init", "arn-code-init", "init arness code", "setup arness code", "arness code setup", "set up arness code", "start arness code", "upgrade arness code",
$ npx -y skills add AppsVortex/arness --skill arn-code-init --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/arn-code-initContext preview
The summary Claude sees to decide when to auto-load this skill.
Optional customization and upgrade tool. This skill should be used when the user says "initialize arness code", "arness code init", "arn-code-init", "init arness code", "setup arness code", "arness code setup", "set up arness code", "start arness code", "upgrade arness code",
name: arn-code-init description: >- Optional customization and upgrade tool. This skill should be used when the user says "initialize arness code", "arness code init", "arn-code-init", "init arness code", "setup arness code", "arness code setup", "set up arness code", "start arness code", "upgrade arness code", "update arness code", "configure arness code for this project", "add arness code to this project", "reconfigure arness code", "review arness config", "customize arness config", "arness settings", or wants to customize Arness configuration, review current settings, or upgrade after a plugin update. Handles both existing codebases (analyzes patterns) and greenfield projects (recommends patterns based on technology choices). Also handles upgrades after plugin updates. version: 1.1.0
Set up Arness for a project by analyzing or defining code patterns, choosing configuration options, and persisting everything to CLAUDE.md. This is optional — Arness auto-configures with sensible defaults on first skill invocation. Use this to customize directories, add integrations, update templates, or review your current settings.
Read the project's CLAUDE.md and look for a `## Arness` section. If no CLAUDE.md exists, create one at the project root before proceeding.
**If the section does not exist:**
**If the section exists:** 1. Parse all config fields from the existing `## Arness` block 2. Read the current plugin version from `${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json` 3. Show the user their current configuration and version comparison:
4. Ask via `AskUserQuestion`:
---
Determine whether this is an existing codebase or a greenfield project.
Look for indicators of an existing codebase:
**If existing codebase detected** → proceed to **Flow A** (Step 3A)
**If empty or minimal project** → proceed to **Flow B** (Step 3B)
Tell the user which flow was detected and why: "I detected an existing [language/framework] project" or "This looks like a new project with no existing code."
---
> **Note:** Step 3 runs for ALL projects (both Flow A and Flow B). Steps 3A and 3B are flow-specific and run after Step 3.
**Shared field preservation:** If `## Arness` already exists and the shared fields (Git, Platform, Issue tracker, Jira site, Jira project) are already present from a prior init (this plugin or another — e.g., arn-spark-init, arn-infra-init, or ensure-config auto-detection), **skip detection and preserve the existing values** — unless the user chose **Reconfigure** in Step 1. If these fields were set by ensure-config auto-detection, preserve them unless the user chose Reconfigure. This prevents overwriting values set by another plugin or by ensure-config in a monorepo.
Check if the project uses Git, determine the code hosting platform, and identify the issue tracker.
**3.1. Git check:** 1. Run `git rev-parse --is-inside-work-tree` to check for a git repository 2. If Git is not detected, inform the user: "This project is not a git repository. Git-dependent skills (`/arn-code-ship`, `/arn-code-review-pr`, `/arn-code-create-issue`, `/arn-code-pick-issue`) will be unavailable." Record Git: no, Platform: none, Issue tracker: none and proceed to Step 3A/3B.
**3.2. Remote classification:** 1. Run `git remote -v` and classify the remote URL:
**3.3a. If candidate is github:** 1. Run `gh auth status` to check for GitHub CLI authentication 2. If authenticated → Platform: **github**, Issue tracker: **github** 3. If NOT authenticated → warn the user, suggest `gh auth login`, and **STOP init** (do not continue until resolved) 4. Create 7 Arness labels for issue management. Use `gh label create` for each label (the command is idempotent — it will skip labels that already exist):
| Label | Color | Description | |-------|-------|-------------| | `arness-backlog` | `d4c5f9` | Deferred items from PRs or postponed features | | `arness-feature-issue` | `0e8a16` | Feature requests tracked via Arness | | `arness-bug-issue` | `d93f0b` | Bug reports tracked via Arness | | `arness-priority-high` | `b60205` | High priority | | `arness-priority-medium` | `fbca04` | Medium priority | | `arness-priority-low` | `c5def5` | Low priority | | `arness-rejected` | `e4e669` | Issue reviewed and rejected as invalid or out of scope |
> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-code-init/references/platform-labels.md` for label details and which skills use each label.
**3.3b. If candidate is bitbucket:** 1. Run `bkt --version` to chec
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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