Agent skill

Create Workflow Command

by NeoLabHQ in NeoLabHQ/context-engineering-kit

Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

GPL-3.0Auto-check passedAgent Workflows

Install Create Workflow Command

skills CLI
$ npx skills add NeoLabHQ/context-engineering-kit --skill create-workflow-command -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NeoLabHQ/context-engineering-kit create-workflow-command --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NeoLabHQ/context-engineering-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/create-workflow-command .claude/skills/create-workflow-command && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
create-workflow-command
GitHub stars
1.7k
Token cost
~2.8k tokens
SKILL.md length
573 words
Files
1
Skills in repo
57
Repo updated
First seen
Licence
GPL-3.0

At a glance

Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

  • Works in 7 steps: Context Isolation → Sub-Agent Capabilities → File Reference Pattern → …
  • Tasks that involve Subagents
  • SKILL.md covers User Input, Architecture Overview, Key Principles and Implementation Process, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Create Workflow Command is an agent skill from NeoLabHQ/context-engineering-kit. Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The repository describes itself as: Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. Includes CodeRabbit open-source… The licence is GPL-3.0.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/create-workflow-command”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Context Isolation
  2. Sub-Agent Capabilities
  3. File Reference Pattern
  4. Gather Requirements
  5. Create Directory Structure
  6. Create Task Files
  7. Create Orchestrator Command

What it can do on your machine

Read from SKILL.md and the folder at commit 23e2428. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown and bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Create Workflow Command loads about 2.8k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 573 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NeoLabHQ/context-engineering-kit at commit 23e2428, republished under its GPL-3.0 licence (© NeoLabHQ). 573 words, ~2,817 tokens.

Download SKILL.mdSave it as .claude/skills/create-workflow-command/SKILL.md (or your agent's skills folder).
name
create-workflow-command
description
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts

Create Workflow Command

Create a command that orchestrates multi-step workflows by dispatching sub-agents with task-specific instructions stored in separate files.

User Input

text
Workflow Name: $1
Description: $2

Architecture Overview

Workflow commands solve the context bloat problem: instead of embedding detailed step instructions in the main command (polluting orchestrator context), store them in separate task files that sub-agents read on-demand.

plugins/<plugin-name>/
├── commands/
│   └── <workflow>.md          # Lean orchestrator (~50-100 tokens per step)
├── agents/                     # Optional: reusable executor agents
│   └── step-executor.md       # Custom agent with specific tools/behavior
└── tasks/                      # All task instructions directly here
    ├── step-1-<name>.md       # Full instructions (~500+ tokens each)
    ├── step-2-<name>.md
    ├── step-3-<name>.md
    └── common-context.md      # Shared context across workflows

Key Principles

1. Context Isolation

Each sub-agent gets its own isolated context window. The main orchestrator stays lean while sub-agents load detailed instructions from files.

ComponentContext CostPurpose
Orchestrator command~50-100 tokens/stepDispatch and coordinate
Task file~500+ tokensDetailed step instructions
Sub-agent base~294 tokensSystem prompt overhead
2. Sub-Agent Capabilities

Sub-agents spawned via Task tool:

CapabilityAvailableNotes
Read tool✅ YesCan read any file
Write tool✅ YesIf not restricted
Grep/Glob✅ YesFor code search
Skills loading❌ NoSkills don't auto-load in sub-agents
Spawn sub-agents❌ NoCannot nest Task tool
Resume context✅ YesVia resume parameter
3. File Reference Pattern

Use ${CLAUDE_PLUGIN_ROOT} for portable paths within plugin:

markdown
Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-1-workflow-name.md and execute.

Sub-agent will use Read tool to fetch the file content.

Implementation Process

Step 1: Gather Requirements

Ask user (if not provided):

  1. Workflow name: kebab-case identifier (e.g., feature-implementation)
  2. Description: What the workflow accomplishes
  3. Steps: List of discrete steps with:
    • Step name
    • Step goal
    • Required tools
    • Expected output
  4. Execution mode: Sequential or parallel steps
  5. Agent type: general-purpose or custom agent
Step 2: Create Directory Structure
bash
# Create tasks directory (if it doesn't exist)
mkdir -p ${CLAUDE_PLUGIN_ROOT}/tasks

# Optional: Create agents directory (if using custom agents)
mkdir -p ${CLAUDE_PLUGIN_ROOT}/agents

Note: All task files (both workflow-specific steps and shared context) are placed directly in tasks/ without subdirectories.

Step 3: Create Task Files

For each step, create a task file with this structure:

markdown
# Step N: <Step Name>

## Context
You are executing step N of the <workflow-name> workflow.

## Goal
<Clear, specific goal for this step>

## Input
<What this step receives from previous steps or user>

## Instructions
1. <Specific action>
2. <Specific action>
3. <Specific action>

## Constraints
- <Limitation or boundary>
- <What NOT to do>

## Expected Output
<What to return to orchestrator>

## Success Criteria
- [ ] <Measurable outcome>
- [ ] <Measurable outcome>
Step 4: Create Orchestrator Command

Create the main command file with this pattern:

markdown
---
description: <Workflow description>
argument-hint: <Required arguments>
allowed-tools: Task, Read
model: sonnet
---

# <Workflow Name>

## User Input

\`\`\`text
$ARGUMENTS
\`\`\`

## Workflow Execution

### Step 1: <Step Name>

Launch general-purpose agent:
- **Description**: "<3-5 word summary>"
- **Prompt**:
  \`\`\`
  Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-1-<workflow>-<name>.md and execute.

  Context:
  - TARGET: $1
  - MODE: $2
  \`\`\`

**Capture**: <What to extract from result>

### Step 2: <Step Name>

Launch general-purpose agent:
- **Description**: "<3-5 word summary>"
- **Prompt**:
  \`\`\`
  Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-2-<workflow>-<name>.md and execute.

  Context from Step 1:
  - <Key data from previous step>
  \`\`\`

### Step 3: <Step Name>

[Continue pattern...]

## Completion

Summarize workflow results:
1. <What was accomplished>
2. <Key outputs>
3. <Next steps if any>
Frontmatter Options
FieldPurposeDefault
descriptionBrief description of workflow purposeRequired
argument-hintExpected arguments descriptionNone
allowed-toolsTools the command can useInherits from conversation
modelSpecific Claude model (sonnet, opus, haiku)Inherits from conversation

Model selection:

  • haiku - Fast, efficient for simple workflows
  • sonnet - Balanced performance (recommended default)
  • opus - Maximum capability for complex orchestration

Execution Patterns

Pattern A: Sequential Steps (Default)

Each step depends on previous step's output:

markdown
### Step 1: Analyze
Launch agent → Get analysis result

### Step 2: Plan (uses Step 1 result)
Launch agent with Step 1 context → Get plan

### Step 3: Execute (uses Step 2 result)
Launch agent with Step 2 context → Complete
Show full SKILL.md (226 more words)Show less
Pattern B: Parallel Independent Steps

Steps can run concurrently:

markdown
### Analysis Phase (Parallel)

Launch 3 agents simultaneously:
1. Agent 1: Security analysis → Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-1a-security.md
2. Agent 2: Performance analysis → Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-1b-performance.md
3. Agent 3: Code quality analysis → Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-1c-quality.md

**Wait for all**, then consolidate results.

### Synthesis Phase
Launch agent with all analysis results...
Pattern C: Stateful Multi-Step (Resume)

When steps need shared context:

markdown
### Step 1: Initialize
Launch agent, **capture agent_id**

### Step 2: Continue (same context)
Resume agent using agent_id:
- **resume**: <agent_id from Step 1>
- **prompt**: "Proceed to phase 2: <additional instructions>"

Example: Feature Implementation Workflow

Orchestrator Command
markdown
---
description: Execute feature implementation through research, planning, and coding phases
argument-hint: [feature-description]
allowed-tools: Task, Read, TodoWrite
model: sonnet
---

# Implement Feature

## User Input
\`\`\`text
$ARGUMENTS
\`\`\`

Create TodoWrite with workflow steps.

## Phase 1: Research

Launch general-purpose agent:
- **Description**: "Research feature requirements"
- **Prompt**:
  \`\`\`
  Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-1-feature-impl-research.md

  Feature: $ARGUMENTS
  \`\`\`

**Extract**: Key findings, constraints, existing patterns

## Phase 2: Architecture

Launch general-purpose agent:
- **Description**: "Design feature architecture"
- **Prompt**:
  \`\`\`
  Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-2-feature-impl-architecture.md

  Feature: $ARGUMENTS
  Research findings: <summary from Phase 1>
  \`\`\`

**Extract**: File structure, components, interfaces

## Phase 3: Implementation

Launch developer agent:
- **Description**: "Implement feature code"
- **Prompt**:
  \`\`\`
  Read ${CLAUDE_PLUGIN_ROOT}/tasks/step-3-feature-impl-implement.md

  Architecture: <summary from Phase 2>
  \`\`\`

## Completion

Mark todos complete. Report:
1. Files created/modified
2. Tests added
3. Remaining work
Task File Example (step-1-feature-impl-research.md)
markdown
# Step 1: Feature Research

## Context
You are the research phase of a feature implementation workflow.

## Goal
Thoroughly understand the feature requirements and existing codebase context before any implementation begins.

## Instructions

1. **Parse Feature Request**
   - Extract core requirements
   - Identify acceptance criteria
   - Note any constraints mentioned

2. **Codebase Analysis**
   - Search for similar existing features
   - Identify relevant patterns and conventions
   - Find reusable components/utilities

3. **Dependency Check**
   - What existing code will this feature interact with?
   - Are there breaking change risks?
   - What tests exist for related functionality?

4. **Gap Analysis**
   - What's missing from the request?
   - What clarifications might be needed?
   - What edge cases should be considered?

## Constraints
- Do NOT write any implementation code
- Do NOT modify any files
- Focus purely on research and analysis

## Expected Output

Return a structured research summary:

\`\`\`markdown
## Feature Understanding
- Core requirement: <summary>
- Acceptance criteria: <list>

## Codebase Context
- Similar features: <list with file paths>
- Patterns to follow: <list>
- Reusable code: <list with file paths>

## Dependencies
- Files affected: <list>
- Tests to consider: <list>

## Open Questions
- <Question 1>
- <Question 2>

## Recommendation
<Brief recommendation for architecture phase>
\`\`\`

## Success Criteria
- [ ] Feature requirements clearly articulated
- [ ] Relevant existing code identified
- [ ] No implementation attempted
- [ ] Clear handoff to architecture phase

Known Limitations

LimitationImpactWorkaround
No nested sub-agentsSub-agents can't spawn Task toolKeep all orchestration in main command
No skill auto-loadingSub-agents don't trigger skillsPass explicit file paths or inline context
Fresh context per agentEach dispatch starts emptyUse resume pattern OR pass summaries
File read latencyExtra tool call per stepAcceptable trade-off for context savings

Validation Checklist

Before finalizing workflow command:

  • Each step has clear, specific goal
  • Task files are self-contained (sub-agent doesn't need external context)
  • File paths use ${CLAUDE_PLUGIN_ROOT} for portability
  • Context passed between steps is minimal (summaries, not full data)
  • Orchestrator command stays lean (<100 tokens per step dispatch)
  • Error handling defined for step failures
  • Success criteria measurable for each step

Create the Workflow

Based on user input, create:

  1. Directories:

    • ${CLAUDE_PLUGIN_ROOT}/tasks/ - All task files directly here
    • ${CLAUDE_PLUGIN_ROOT}/agents/ - (Optional) Custom agent definitions
  2. Task files: Create in tasks/ directory with naming pattern step-N-<workflow>-<name>.md

    • Example: step-1-feature-impl-research.md
    • Example: step-2-feature-impl-architecture.md
    • Shared context: common-context.md directly in tasks/
  3. Orchestrator command: Lean dispatch logic in commands/<workflow-name>.md

  4. Custom agents (Optional): If workflow needs specialized agent behavior in agents/

  5. Update plugin.json: Add command to plugin manifest if needed

After creation, suggest testing with /customaize-agent:test-prompt command.

© NeoLabHQ, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/create-workflow-command of NeoLabHQ/context-engineering-kit.

Open the folder on GitHubat commit 23e2428

Compare with similar skills

Create Workflow Command next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Create Workflow Command compared with similar skills
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Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Create Workflow Command

What does Create Workflow Command do?

Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts. Create Workflow Command is an agent skill from NeoLabHQ/context-engineering-kit.

When should I use Create Workflow Command?

Create Workflow Command fits situations like: tasks that involve Subagents.

How do I install Create Workflow Command in Claude Code?

Run `npx skills add NeoLabHQ/context-engineering-kit --skill create-workflow-command -a claude-code`. Or copy the skill folder (skills/create-workflow-command in NeoLabHQ/context-engineering-kit) into .claude/skills/create-workflow-command in your project. Claude Code loads it when a task matches its description.

How do I install Create Workflow Command in Codex?

Run `npx skills add NeoLabHQ/context-engineering-kit --skill create-workflow-command -a codex`. Or copy the skill folder (skills/create-workflow-command in NeoLabHQ/context-engineering-kit) into .agents/skills/create-workflow-command in your project. Codex loads it when a task matches its description.

Can I use Create Workflow Command in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NeoLabHQ/context-engineering-kit --skill create-workflow-command -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-workflow-command, .gemini/skills/create-workflow-command, .github/skills/create-workflow-command and .opencode/skills/create-workflow-command in your project.

What does Create Workflow Command need to run?

SKILL.md names no scripts, command-line tools or credentials: Create Workflow Command is instructions for the agent only.

Does Create Workflow Command access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Create Workflow Command safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Create Workflow Command use?

Create Workflow Command is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Create Workflow Command use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Create Workflow Command?

Skills that share tags, products or a category with Create Workflow Command: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Create Workflow Command?

NeoLabHQ (a GitHub organization) maintains it in NeoLabHQ/context-engineering-kit, which has 1,748 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on August 26, 2026.

Source: NeoLabHQ/context-engineering-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.