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/arn-code-feature-spec-teams

This skill should be used when the user says "feature spec teams", "arness code feature spec teams", "team feature spec", "debate this feature", "collaborative feature spec", "spec with agent teams", "multi-agent feature spec", "feature spec debate", or wants to develop a

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arness
3590 skills48 agents

Claude Code

$ npx -y skills add AppsVortex/arness --skill arn-code-feature-spec-teams --agent claude-code

SKILL.md

arn-code-feature-spec-teams.SKILL.md
name: arn-code-feature-spec-teams
description: >-
  This skill should be used when the user says "feature spec teams",
  "arness code feature spec teams", "team feature spec", "debate this feature",
  "collaborative feature spec", "spec with agent teams",
  "multi-agent feature spec", "feature spec debate", or wants to
  develop a feature idea through
  structured debate between multiple specialist agents (architects, UX
  experts, and security specialists) before writing the specification. Uses Claude Code's experimental
  Agent Teams feature. Requires Agent Teams to be enabled. For standard
  single-agent feature spec, use arn-code-feature-spec instead.
version: 0.1.0

Arness Feature Spec Teams

Develop a feature idea through structured debate between specialist teammates — architects and UX experts — before synthesizing a specification. Uses Claude Code's experimental Agent Teams feature for direct inter-agent communication. Each teammate proposes, critiques, and revises independently, producing a richer spec than a single-agent approach.

Pipeline position:

arn-code-feature-spec-teams (team: propose -> critique -> revise -> resolve) -> /arn-code-plan

This is an alternative to `arn-code-feature-spec` (single-agent). Use this when:

  • The feature is complex enough to benefit from multiple perspectives
  • There is a significant UI/UX component that needs specialist advocacy
  • Multiple architectural approaches are viable and warrant debate
  • You want trade-offs and disagreements surfaced explicitly

Prerequisites

If no `## Arness` section exists in the project's CLAUDE.md, inform the user: "Arness is not configured for this project yet. Run `/arn-planning` to get started — it will set everything up automatically." Do not proceed without it. For standard single-agent feature spec, use `arn-code-feature-spec` instead.

**Limitations compared to `arn-code-feature-spec`:**

  • XL feature decomposition is not supported. Use `arn-code-feature-spec` for features that need to be broken into sub-features.
  • Draft file management is not supported. If the session crashes, re-run the skill from the beginning.

Workflow

Step 1: Check Agent Teams Availability

Run via Bash: `echo $CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS`

**If the variable is NOT set to "1":** Inform the user: "This skill requires Claude Code's experimental Agent Teams feature."

Provide setup instructions:

  • Add to `~/.claude/settings.json` under `"env"`:
  "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
  • Or set the environment variable before running Claude Code:
  CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 claude

Suggest the alternative: "You can use `/arn-code-feature-spec` instead, which uses a single architect agent and doesn't require Agent Teams."

**If enabled:** proceed to Step 1b.

---

Step 1b: Detect Greenfield Context (Optional)

This step activates only when greenfield artifacts exist. Projects without greenfield skip this step silently.

1. Check the trigger message for an F-NNN pattern (regex: `F-\d{3}`). Accept natural invocations like "feature spec teams F-002" or "team spec: Device Pairing".

2. If detected, or if conversation context includes feature file content (look for markers: `## Description`, `## Journey Steps`, `## Acceptance Criteria`):

> Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-code-feature-spec/references/greenfield-loading.md` for the full loading sequence.

Execute the loading sequence to load:

  • Feature file (F-NNN) with description, journey steps, UI behavior, components, acceptance criteria
  • Referenced UC documents (main success scenarios, extensions, business rules)
  • Scope boundary context (related features from Feature Tracker for cross-feature awareness)
  • Style-brief (if available at `[vision-dir]/style-brief.md` — toolkit configuration, color tokens, typography)

If the style-brief has an "Animation and Motion" section, extract it as animation context. This will be passed to both the architect and UX specialist teammates.

3. Hold all loaded context for use in Step 4 (teammate spawn prompts).

4. If no F-NNN pattern detected and no feature file markers found: proceed to Step 2 as normal (standard flow).

---

Step 2: Capture Feature Idea and Load Context

1. If the user provided the feature idea in the trigger message, use it directly. Otherwise, ask.

2. Read the project's CLAUDE.md and extract the `## Arness` section to find:

  • **Code patterns** -- path to the directory containing stored pattern documentation
  • **Specs directory** -- path to the directory containing specification files

3. Read the stored pattern documentation:

  • `<code-patterns-dir>/code-patterns.md`
  • `<code-patterns-dir>/testing-patterns.md`
  • `<code-patterns-dir>/architecture.md`
  • `<code-patterns-dir>/ui-patterns.md` (if it exists)
  • `<code-patterns-dir>/security-patterns.md` (if it exists)

**If pattern documentation files are missing** (no `code-patterns.md`, `testing-patterns.md`, or `architecture.md` in the Code patterns directory):

Inform the user: "This is the first time pattern documentation is being generated for this project. Analyzing your codebase to understand its patterns, conventions, and architecture. This is a one-time operation — future invocations will use the cached results."

Then invoke the `arn-code-codebase-analyzer` agentto generate fresh analysis. Write the results to the Code patterns directory.

4. If greenfield context was loaded in Step 1b, also extract from `## Arness`:

  • **Vision directory** (for style-brief and feature files)
  • **Use cases directory** (for UC documents)
  • **Prototypes directory** (for screen references)

---

Step 3: Classify Feature and Determine Team Composition

Use three-axis detection to determine the right team:

**Axis 1 — Project frontend state:**

  • Check if `ui-patterns.md` exists in the code patterns directory
  • Check the Technology Stack t
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Questions about arn-code-feature-spec-teams.

Which coding agents can use arn-code-feature-spec-teams?
arn-code-feature-spec-teams installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.