CtrlK
BlogDocsLog inGet started
Tessl Logo

nx-workspace

Run and generate NX targets, configure project.json, and visualize dependency graphs. Use when you say: 'run affected tests', 'nx generate a library', 'configure project.json', or 'show dependency graph'.

100

Quality

100%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Discovery

N/A

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

Something went wrong

Implementation

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-crafted skill that efficiently covers NX workspace operations with concrete, executable commands and clearly structured multi-phase workflows. It respects token budget by avoiding explanations of concepts Claude already knows, provides actionable MCP tool guidance in a compact table format, and includes appropriate validation checkpoints throughout the code generation workflow. The progressive disclosure is well-handled with references to supporting files for detailed schemas and project mappings.

DimensionReasoningScore

Conciseness

The content is lean and efficient. It avoids explaining what NX is or how monorepos work, assumes Claude's competence, and presents commands and workflows without unnecessary preamble. The forbidden commands section and MCP tool table are compact and informative.

3 / 3

Actionability

Commands are copy-paste ready with concrete syntax (e.g., `yarn nx run <project-name>:test --coverage`). The code generation workflow includes specific executable commands with critical flags like `--no-interactive` and `--dry-run`. The MCP tool table provides clear guidance on when to use each tool.

3 / 3

Workflow Clarity

The Code Generation Workflow is clearly phased (Discover → Understand → Execute → Post-Generation) with explicit validation steps (dry-run preview, verify lint/test/build, format check). Error recovery is addressed ('On failure: read the error, adjust options, and retry'). The Running Tasks Workflow also has clear sequencing with diagnostic steps.

3 / 3

Progressive Disclosure

The skill provides a clear overview with well-signaled references: REFERENCE.md for generator schemas, project.instructions.md for project name mappings, and the self-improvement skill for non-obvious fixes. Content is appropriately split between quick-reference commands and detailed workflows without being monolithic.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
monkilabs/opencastle
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.