Short answer/recommendation
Use Copilot-assisted scripting (editable code in your repo) when you need reproducible, versioned, auditable automation. Use a small, well-tested script + GitHub Actions (or a runner) to label, triage, and POST a workflow_dispatch to kick off matrix CI. Reserve no-code cloud tools for quick prototypes or non-engineering workflows with low-security needs.

Why this approach
Code in-repo gives version control, code review, unit tests, and reproducibility. Copilot speeds up the boilerplate (API calls, parameter parsing), but you must review, test, and add idempotency, error handling, and secrets management.

Concrete pattern (what to implement)
1) Use Octokit (JS) or PyGithub (Python) to call the Issues API: add/remove labels, set milestone/assignees, create comments. Example flow: check current labels → compute desired labels → only call add/remove for diffs (idempotency).
2) To start matrix CI, call the Actions REST endpoint: POST /repos/{owner}/{repo}/actions/workflows/{workflow_id}/dispatches with {ref, inputs}. This triggers a workflow that contains a matrix strategy.
3) Put the script in the repo (scripts/triage.js), and run it from a GitHub Action (scheduled or triggered by issue events). Use a PAT with only required scopes (repo, workflow) stored in Secrets.

Minimal Node.js skeleton (pseudo-code)
const octokit = new Octokit({ auth: process.env.GITHUB_TOKEN });
// Label diff
const { data } = await octokit.issues.get({owner, repo, issue_number});
// compute adds/removes
await octokit.issues.addLabels(...)
// Dispatch workflow
await octokit.request('POST /repos/{owner}/{repo}/actions/workflows/{id}/dispatches', { ref: 'main', inputs: { ... } });

Decision criteria (when to script vs no-code)
- Use Copilot-assisted scripts if you need: reproducible runs, code review, complex logic, custom triage rules, secret handling, or team ownership. (Depends on team coding skill & willingness to maintain code.)
- Use no-code/cloud automation if: the action is trivial (single label on keywords), non-sensitive, maintained by non-engineers, and you want very fast time-to-live. (Depends on budget and trust in vendor uptime.)

Best-for / Avoid-if
- Best-for: engineering teams, multi-repo standardization, complex triage, secure workflows, needing tests and CI.
- Avoid-if: one-off tiny automations for non-technical teams; if you lack dev capacity to maintain code and secrets.

Practical checklist to ship
- [ ] Create a scripts/triage.js (or .py) in repo using Octokit/PyGithub
- [ ] Use Copilot to scaffold but manually review every API call and permissions
- [ ] Implement idempotency: read state → compute diff → apply changes
- [ ] Add retries & rate-limit backoff, clear logging, and error-reporting (sentry/logsink)
- [ ] Use least-privilege PAT and store in Secrets (GITHUB_TOKEN or custom PAT with workflow scope for dispatches)
- [ ] Add unit tests/mocks for API calls; add integration test in a staging repo
- [ ] Hook script into a GitHub Action (on: issues / schedule) or run from a CI runner
- [ ] Add monitoring: comment on failure or create a tracking issue

Notes about quality, budget, and team size
- Copilot speeds up development and is great for engineers who can review output. If budget/skill is low, no-code is cheaper initially but can produce brittle, opaque automations. For large teams or production-grade automation, prefer scripted code in-repo.

If you want, I can produce a runnable Node.js triage script that: reads issue text, applies labels, and dispatches a workflow with inputs—tell me your repo/workflow IDs and desired label rules.

Compare GitHub Copilot and Cursor