customerio-load-scale
Implement Customer.io load testing and horizontal scaling. Use when preparing for high traffic, running load tests, or designing queue-based architectures for scale. Trigger: "customer.io load test", "customer.io scale", "customer.io high volume", "customer.io k6", "customer.io performance test".
80
77%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/customerio-pack/skills/customerio-load-scale/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a well-structured skill description with strong trigger terms and clear 'what/when' guidance. Its main weakness is that the capability description could be more specific about the concrete actions performed (e.g., writing k6 scripts, configuring queue workers, setting up autoscaling). The explicit trigger term list and Customer.io-specific scoping make it highly distinctive.
Suggestions
Expand the 'what' portion with more specific concrete actions, e.g., 'Write k6 load test scripts, configure Redis-backed queue workers, implement horizontal pod autoscaling for Customer.io webhook processing.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Customer.io load testing and horizontal scaling) and mentions some actions (load testing, queue-based architectures), but doesn't list multiple specific concrete actions like 'configure k6 test scripts, set up queue workers, implement horizontal pod autoscaling'. | 2 / 3 |
Completeness | Clearly answers both 'what' (implement Customer.io load testing and horizontal scaling) and 'when' (preparing for high traffic, running load tests, designing queue-based architectures for scale) with explicit trigger terms listed. | 3 / 3 |
Trigger Term Quality | Includes explicit trigger terms that users would naturally say: 'customer.io load test', 'customer.io scale', 'customer.io high volume', 'customer.io k6', 'customer.io performance test'. Also includes natural phrases like 'high traffic' and 'load tests' in the use-when clause. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche combining Customer.io with load testing and horizontal scaling. The explicit 'customer.io' prefix on all trigger terms makes it highly unlikely to conflict with generic load testing or other integration skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a highly actionable skill with excellent, production-ready code examples covering load testing, queue architecture, autoscaling, and batch processing. Its main weaknesses are that it's too long for a single SKILL.md (the code should be split into referenced files), and the workflow lacks explicit validation/feedback loops between steps — particularly important given that load testing can be destructive if misconfigured.
Suggestions
Move the large code blocks into separate referenced files (e.g., load-tests/customerio.js, services/cio-queue-worker.ts) and keep only concise summaries with links in SKILL.md
Integrate validation checkpoints directly into the workflow steps, e.g., 'After Step 1, verify k6 output shows 0 errors at 10% rate before proceeding to full load'
Add an explicit feedback loop for the load test: 'If 429 rate > 5%, stop test, reduce target rate by 20%, and re-run'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with good code examples and tables, but is quite long (~200+ lines). The overview section restates what the title already conveys, and some code comments are unnecessary for Claude. The volume tier table and error handling table are efficient, but the sheer volume of code could be trimmed or split into referenced files. | 2 / 3 |
Actionability | Excellent actionability — fully executable k6 load test script with run commands, complete TypeScript queue worker implementation, Kubernetes HPA YAML, and a batch sender with rate limiting. All code is copy-paste ready with real library imports and configuration. | 3 / 3 |
Workflow Clarity | Steps are numbered and sequenced, and the load test checklist provides validation points. However, there's no explicit feedback loop for the load test itself (e.g., 'if 429 errors exceed X%, stop and reduce rate') and no validation checkpoint between steps. The checklist is separate from the workflow rather than integrated into it. | 2 / 3 |
Progressive Disclosure | The content is largely monolithic — all four major code blocks are inline rather than referenced from separate files. The volume tier table and error handling table are well-structured, but the ~200 lines of code examples would benefit from being split into referenced files (e.g., 'See load-tests/customerio.js' with just a summary inline). The 'Next Steps' reference to customerio-known-pitfalls is good. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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