/arn-code-execute-task
This skill should be used when the user says "execute task N", "run task N", "implement task N", "re-run task N", "retry task N", "run single task", or wants to execute a single specific task from the task list with optional review. This is for ONE task only — for executing the
$ npx -y skills add AppsVortex/arness --skill arn-code-execute-task --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-code-execute-task
Context preview
The summary Claude sees to decide when to auto-load this skill.
This skill should be used when the user says "execute task N", "run task N", "implement task N", "re-run task N", "retry task N", "run single task", or wants to execute a single specific task from the task list with optional review. This is for ONE task only — for executing the
SKILL.md
arn-code-execute-task.SKILL.mdname: arn-code-execute-task
description: >-
This skill should be used when the user says "execute task N", "run task N",
"implement task N", "re-run task N", "retry task N", "run single task",
or wants to execute a single specific task from the task list with optional
review. This is for ONE task only — for executing the full plan (all tasks),
use arn-code-execute-plan instead.
version: 0.4.0
Arness Execute Task
Execute a single task from the task list by spawning a `arn-code-task-executor` agent. Optionally run a `arn-code-task-reviewer` to validate the implementation before marking the task complete.
Pipeline position (this is an alternative entry point, not in the main pipeline):
arn-code-taskify -> arn-code-execute-task (single task) -> [optional] arn-code-review-implementation
Use cases:
- Re-running a failed task after manual intervention
- Testing a single phase independently
- Implementing one task without the full pipeline
- Retrying a task that was escalated during arn-code-execute-plan
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-implementing` to get started — it will set everything up automatically." Do not proceed without it. Task list must exist (run `/arn-code-taskify` first).
Workflow
Step 1: Load Configuration
1. Read the project's CLAUDE.md and extract the `## Arness` section to find:
- **Plans directory** -- base path where project plans are saved
- **Code patterns** -- path to the directory containing stored pattern documentation
- **Template path** -- path to the report template set (JSON templates)
- **Template version** -- plugin version the templates were copied from (if present)
- **Template updates** -- user preference: `ask`, `auto`, or `manual` (if present)
- **Specs directory** -- path to the directory containing specification files (if present)
**Template version check:** If `Template version` and `Template updates` fields are present, run the template version check procedure documented in arn-code-save-plan Step 1 (Template Version Check) before proceeding. If `## Arness` does not contain these fields, treat as legacy and skip.
---
Step 2: Identify the Task
- If user provided a task ID or number: verify it exists in TaskList
- If user provided a description: search TaskList for a matching task
- If no task specified: show all available tasks (pending, unblocked) and ask user to choose
- Show the selected task: ID, description, status, dependencies
- If task is blocked: warn user that dependencies haven't completed, ask if they want to proceed anyway
---
Step 3: Choose Review Option
Ask (using `AskUserQuestion`):
**"Run with review gate after execution?"**
Options: 1. **Yes, review after execution** (Recommended) -- Spawn reviewer to validate 2. **No, execute only** -- Skip review, mark complete after executor finishes
If review chosen, also ask:
Ask (using `AskUserQuestion`):
**"How should Arness handle critical review findings?"**
Options: 1. **Resume executor with feedback** (Recommended) -- Resumes the original agent with its full implementation context 2. **Dispatch fresh executor with review report** -- Spawns a new executor with the review report as context
Store the choice for the execution session.
---
Step 4: Execute the Task
1. Ask the user for `PROJECT_NAME` if not provided in the trigger message 2. Verify the project directory exists:
<plans-dir>/<PROJECT_NAME>/
├── INTRODUCTION.md
├── TASKS.md
├── PROGRESS_TRACKER.json
├── plans/PHASE_*.md
└── reports/
If `PROGRESS_TRACKER.json` is missing, warn that progress tracking will not be available. Execution can still proceed. 3. Mark task as `in_progress` via TaskUpdate 4. Check if the project has `### Visual Testing` configured in the `## Arness` section of CLAUDE.md. If found, extract: capture script path, compare script path, baseline directory, diff threshold.
Note: Extract only the top-level fields (implicit Layer 1). Do NOT parse `#### Layer N:` subsections — multi-layer visual validation runs during `/arn-code-review-implementation`, not per-task.
5. **Determine the executor model.** First check the per-phase upgrade override:
- Read PROGRESS_TRACKER.json. Find the phase entry whose `implementation.taskId` matches the current task ID.
- If `phase.implementation.modelOverride` is non-null (e.g., `"opus"`), use that value as the `model` parameter for this dispatch. Skip the standard agent-models lookup. Emit a one-line status to the user: `Phase <N> (<phaseTitle>) executor model: <override> (upgraded — complex phase per pipeline.complex-phase-upgrade)`.
- If `phase.implementation.modelOverride` is null or the field is missing, fall through to the standard lookup: pass the model from `.arness/agent-models/code.md` as the `model` parameter (see `plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md` "Dispatch convention" for fallback).
Then spawn `arn-code-task-executor` via the Task tool with the determined model. Full context:
- Task ID and full task description
- Project name: `<PROJECT_NAME>`
- Project folder path: `<plans-dir>/<PROJECT_NAME>/`
- Phase plan file path (extracted from the task description)
- INTRODUCTION.md path: `<project-folder>/INTRODUCTION.md`
- Code patterns directory path: `<code-patterns-dir>/`
- Specs directory path: `<specs-dir>/` (if relevant to the task)
- Report template path: `<template-path>/`
- Visual testing config (if configured): capture script path, compare script path, baseline directory, diff threshold
6. Record the agent ID returned by the Task tool (needed for resume mode) 7. Wait for executor to complete
---
Step 5: Review (if requested)
1. Read the executor's output to extract:
- Report file path(s)
- List of files created and modified
- Visu
Read more
name: arn-code-execute-task description: >- This skill should be used when the user says "execute task N", "run task N", "implement task N", "re-run task N", "retry task N", "run single task", or wants to execute a single specific task from the task list with optional review. This is for ONE task only — for executing the full plan (all tasks), use arn-code-execute-plan instead. version: 0.4.0
Arness Execute Task
Execute a single task from the task list by spawning a `arn-code-task-executor` agent. Optionally run a `arn-code-task-reviewer` to validate the implementation before marking the task complete.
Pipeline position (this is an alternative entry point, not in the main pipeline):
arn-code-taskify -> arn-code-execute-task (single task) -> [optional] arn-code-review-implementation
Use cases:
- Re-running a failed task after manual intervention
- Testing a single phase independently
- Implementing one task without the full pipeline
- Retrying a task that was escalated during arn-code-execute-plan
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-implementing` to get started — it will set everything up automatically." Do not proceed without it. Task list must exist (run `/arn-code-taskify` first).
Workflow
Step 1: Load Configuration
1. Read the project's CLAUDE.md and extract the `## Arness` section to find:
- **Plans directory** -- base path where project plans are saved
- **Code patterns** -- path to the directory containing stored pattern documentation
- **Template path** -- path to the report template set (JSON templates)
- **Template version** -- plugin version the templates were copied from (if present)
- **Template updates** -- user preference: `ask`, `auto`, or `manual` (if present)
- **Specs directory** -- path to the directory containing specification files (if present)
**Template version check:** If `Template version` and `Template updates` fields are present, run the template version check procedure documented in arn-code-save-plan Step 1 (Template Version Check) before proceeding. If `## Arness` does not contain these fields, treat as legacy and skip.
---
Step 2: Identify the Task
- If user provided a task ID or number: verify it exists in TaskList
- If user provided a description: search TaskList for a matching task
- If no task specified: show all available tasks (pending, unblocked) and ask user to choose
- Show the selected task: ID, description, status, dependencies
- If task is blocked: warn user that dependencies haven't completed, ask if they want to proceed anyway
---
Step 3: Choose Review Option
Ask (using `AskUserQuestion`):
**"Run with review gate after execution?"**
Options: 1. **Yes, review after execution** (Recommended) -- Spawn reviewer to validate 2. **No, execute only** -- Skip review, mark complete after executor finishes
If review chosen, also ask:
Ask (using `AskUserQuestion`):
**"How should Arness handle critical review findings?"**
Options: 1. **Resume executor with feedback** (Recommended) -- Resumes the original agent with its full implementation context 2. **Dispatch fresh executor with review report** -- Spawns a new executor with the review report as context
Store the choice for the execution session.
---
Step 4: Execute the Task
1. Ask the user for `PROJECT_NAME` if not provided in the trigger message 2. Verify the project directory exists:
<plans-dir>/<PROJECT_NAME>/ ├── INTRODUCTION.md ├── TASKS.md ├── PROGRESS_TRACKER.json ├── plans/PHASE_*.md └── reports/
If `PROGRESS_TRACKER.json` is missing, warn that progress tracking will not be available. Execution can still proceed. 3. Mark task as `in_progress` via TaskUpdate 4. Check if the project has `### Visual Testing` configured in the `## Arness` section of CLAUDE.md. If found, extract: capture script path, compare script path, baseline directory, diff threshold.
Note: Extract only the top-level fields (implicit Layer 1). Do NOT parse `#### Layer N:` subsections — multi-layer visual validation runs during `/arn-code-review-implementation`, not per-task.
5. **Determine the executor model.** First check the per-phase upgrade override:
- Read PROGRESS_TRACKER.json. Find the phase entry whose `implementation.taskId` matches the current task ID.
- If `phase.implementation.modelOverride` is non-null (e.g., `"opus"`), use that value as the `model` parameter for this dispatch. Skip the standard agent-models lookup. Emit a one-line status to the user: `Phase <N> (<phaseTitle>) executor model: <override> (upgraded — complex phase per pipeline.complex-phase-upgrade)`.
- If `phase.implementation.modelOverride` is null or the field is missing, fall through to the standard lookup: pass the model from `.arness/agent-models/code.md` as the `model` parameter (see `plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md` "Dispatch convention" for fallback).
Then spawn `arn-code-task-executor` via the Task tool with the determined model. Full context:
- Task ID and full task description
- Project name: `<PROJECT_NAME>`
- Project folder path: `<plans-dir>/<PROJECT_NAME>/`
- Phase plan file path (extracted from the task description)
- INTRODUCTION.md path: `<project-folder>/INTRODUCTION.md`
- Code patterns directory path: `<code-patterns-dir>/`
- Specs directory path: `<specs-dir>/` (if relevant to the task)
- Report template path: `<template-path>/`
- Visual testing config (if configured): capture script path, compare script path, baseline directory, diff threshold
6. Record the agent ID returned by the Task tool (needed for resume mode) 7. Wait for executor to complete
---
Step 5: Review (if requested)
1. Read the executor's output to extract:
- Report file path(s)
- List of files created and modified
- Visu
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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