nx-run-tasks▌
tech-leads-club/agent-skills · updated May 23, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Execute build, test, lint, serve, and other tasks in an Nx workspace using single runs, run-many, and affected commands. Use when user says "run tests", "build my app", "lint affected", "serve the project", "run all tasks", or "nx affected". Do NOT use for code generation (use nx-generate) or workspace configuration (use nx-workspace).
| name | nx-run-tasks |
| description | Execute build, test, lint, serve, and other tasks in an Nx workspace using single runs, run-many, and affected commands. Use when user says "run tests", "build my app", "lint affected", "serve the project", "run all tasks", or "nx affected". Do NOT use for code generation (use nx-generate) or workspace configuration (use nx-workspace). |
You can run tasks with Nx in the following way.
Keep in mind that you might have to prefix things with npx/pnpx/yarn if the user doesn't have nx installed globally. Look at the package.json or lockfile to determine which package manager is in use.
For more details on any command, run it with --help (e.g. nx run-many --help, nx affected --help).
Understand which tasks can be run
You can check those via nx show project <projectname> --json, for example nx show project myapp --json. It contains a targets section which has information about targets that can be run. You can also just look at the package.json scripts or project.json targets, but you might miss out on inferred tasks by Nx plugins.
Run a single task
nx run <project>:<task>
where project is the project name defined in package.json or project.json (if present).
Run multiple tasks
nx run-many -t build test lint typecheck
You can pass a -p flag to filter to specific projects, otherwise it runs on all projects. You can also use --exclude to exclude projects, and --parallel to control the number of parallel processes (default is 3).
Examples:
nx run-many -t test -p proj1 proj2— test specific projectsnx run-many -t test --projects=*-app --exclude=excluded-app— test projects matching a patternnx run-many -t test --projects=tag:api-*— test projects by tag
Run tasks for affected projects
Use nx affected to only run tasks on projects that have been changed and projects that depend on changed projects. This is especially useful in CI and for large workspaces.
nx affected -t build test lint
By default it compares against the base branch. You can customize this:
nx affected -t test --base=main --head=HEAD— compare against a specific base and headnx affected -t test --files=libs/mylib/src/index.ts— specify changed files directly
Useful flags
These flags work with run, run-many, and affected:
--skipNxCache— rerun tasks even when results are cached--verbose— print additional information such as stack traces--nxBail— stop execution after the first failed task--configuration=<name>— use a specific configuration (e.g.production)
How to use nx-run-tasks on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add nx-run-tasks
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches nx-run-tasks from GitHub repository tech-leads-club/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate nx-run-tasks. Access the skill through slash commands (e.g., /nx-run-tasks) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★49 reviews- ★★★★★Shikha Mishra· Dec 24, 2024
nx-run-tasks reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Tariq Tandon· Dec 24, 2024
We added nx-run-tasks from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Anaya Li· Dec 16, 2024
nx-run-tasks reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakshi Patil· Nov 23, 2024
nx-run-tasks is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Tariq Verma· Nov 19, 2024
Keeps context tight: nx-run-tasks is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yash Thakker· Nov 15, 2024
I recommend nx-run-tasks for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chen Jackson· Nov 15, 2024
Solid pick for teams standardizing on skills: nx-run-tasks is focused, and the summary matches what you get after install.
- ★★★★★Ren Gill· Nov 7, 2024
I recommend nx-run-tasks for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Chawla· Oct 26, 2024
Useful defaults in nx-run-tasks — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chaitanya Patil· Oct 14, 2024
Keeps context tight: nx-run-tasks is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 49