conductor-validator

Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.

242 stars

Best use case

conductor-validator is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.

Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "conductor-validator" skill to help with this workflow task. Context: Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/conductor-validator/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/sickn33/conductor-validator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/conductor-validator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How conductor-validator Compares

Feature / Agentconductor-validatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Check if conductor directory exists
ls -la conductor/

# Find all track directories
ls -la conductor/tracks/

# Check for required files
ls conductor/index.md conductor/product.md conductor/tech-stack.md conductor/workflow.md conductor/tracks.md
```

## Use this skill when

- Working on check if conductor directory exists tasks or workflows
- Needing guidance, best practices, or checklists for check if conductor directory exists

## Do not use this skill when

- The task is unrelated to check if conductor directory exists
- You need a different domain or tool outside this scope

## Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

## Pattern Matching

**Status markers in tracks.md:**

```
- [ ] Track Name  # Not started
- [~] Track Name  # In progress
- [x] Track Name  # Complete
```

**Task markers in plan.md:**

```
- [ ] Task description  # Pending
- [~] Task description  # In progress
- [x] Task description  # Complete
```

**Track ID pattern:**

```
<type>_<name>_<YYYYMMDD>
Example: feature_user_auth_20250115
```

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