Nx Run Tasks

nx-run-tasks

Overview

This public intake copy packages packages/skills-catalog/skills/(tooling)/nx-run-tasks from https://github.com/tech-leads-club/agent-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

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).

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Understand which tasks can be run, Run a single task, Run multiple tasks, Run tasks for affected projects, Useful flags.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use when the request clearly matches the imported source intent: 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....
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: 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.

Examples

Example 1: Ask for the upstream workflow directly

Use @nx-run-tasks to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @nx-run-tasks against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @nx-run-tasks for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @nx-run-tasks using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
• Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
• Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
• Treat generated examples as scaffolding; adapt them to the concrete task before execution.
• Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in packages/skills-catalog/skills/(tooling)/nx-run-tasks, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @accessibility - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @ai-cold-outreach - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @ai-pricing - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @ai-sdr - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Run a single task

nx run <project>:<task>

where project is the project name defined in package.json or project.json (if present).

Imported: 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 projects
• nx run-many -t test --projects=*-app --exclude=excluded-app — test projects matching a pattern
• nx run-many -t test --projects=tag:api-* — test projects by tag

Imported: 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 head
• nx affected -t test --files=libs/mylib/src/index.ts — specify changed files directly

Imported: 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)