advisor
Advisor mode. Consult a stronger (or different) model at key checkpoints: before major decisions, when stuck on an error, and before declaring a task done. Use…
Apply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'
$ npx -y skills add cursor/plugins --skill principle-prove-it-works --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/principle-prove-it-worksContext preview
The summary Claude sees to decide when to auto-load this skill.
Apply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'
name: principle-prove-it-works description: "Apply after completing a task, before declaring done. Verify against the real artifact (run the feature, read the actual value, inspect the diff), not a proxy, self-report, or 'it compiles.'" disable-model-invocation: true
Verify every task output by checking the real thing directly. Do not infer from proxies, self-reports, or "it compiles."
**Why:** Unverified work has unknown correctness. Indirect verification (file mtimes, output freshness, agent self-reports, cached screenshots) feels cheaper than direct observation. Acting on a wrong inference costs far more than checking the source.
**Pattern:** After completing any task, ask: "how do I prove this actually works?"
Check the real thing, not a proxy:
Code and features: 1. Build it (necessary but not sufficient) 2. Run it and exercise the actual feature path 3. Check the full chain: does data flow from input to output? 4. For integrations, test the full communication path end-to-end
Delegation: trust artifacts, not self-reports. When verifying delegated work, inspect the actual output artifact (git diff, file contents, runtime behavior), not the delegate's summary.
The strongest proof is a deterministic script that re-runs the same comparison, not a one-time eyeball. Write the script, run it, and keep its output as an artifact a reviewer can re-run instead of trusting your word.
Keep the artifact visible for the human. Commit it only for large or complex work where the trail has to be auditable later, like a big port or migration (the **show-me-your-work** skill).
Official Cursor plugins for popular developer tools, frameworks, and SaaS products. Each plugin is a standalone directory at the repository root with its own .cursor-plugin/plugin.json manifest.
Repo: cursor/plugins
Advisor mode. Consult a stronger (or different) model at key checkpoints: before major decisions, when stuck on an error, and before declaring a task done. Use…
Run the full repository compatibility pass: scanner score, startup path, validation loop, and docs reliability.
Designs or reviews CLIs so coding agents can run them reliably: non-interactive flags, layered --help with examples, stdin/pipelines, fast actionable errors,…
Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.
Create a new Cursor plugin scaffold with a valid manifest, component directories, and marketplace wiring. Use when starting a new plugin or adding a plugin to…
Audit a Cursor plugin for marketplace readiness. Use when validating manifests, component metadata, discovery paths, and submission quality before publishing.