groq-cost-tuning
Optimize Groq costs through model routing, token management, and usage monitoring. Use when analyzing Groq billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "groq cost", "groq billing", "reduce groq costs", "groq pricing", "groq expensive", "groq budget".
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/groq-pack/skills/groq-cost-tuning/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 completeness and distinctiveness. It includes explicit 'Use when' and 'Trigger with' clauses with natural user phrases, making it easy for Claude to select appropriately. The main weakness is that the capability descriptions could be more concrete — listing specific actions rather than broad categories like 'model routing' and 'token management'.
Suggestions
Make capabilities more concrete by listing specific actions, e.g., 'Compare model pricing tiers, estimate per-request costs, set up budget alerts, analyze token usage patterns, recommend cheaper model alternatives'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Groq costs) and some actions (model routing, token management, usage monitoring), but these are somewhat high-level categories rather than multiple concrete, specific actions like 'set budget alerts, analyze token usage per endpoint, compare model pricing tiers'. | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize Groq costs through model routing, token management, usage monitoring) and 'when' (explicit 'Use when' clause with specific scenarios plus a 'Trigger with phrases' section listing concrete trigger terms). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger terms users would actually say: 'groq cost', 'groq billing', 'reduce groq costs', 'groq pricing', 'groq expensive', 'groq budget'. These are realistic phrases a user would type when seeking help with Groq cost optimization. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive — focuses specifically on Groq API cost optimization, which is a narrow niche unlikely to conflict with other skills. The Groq-specific terminology and cost-focused triggers make it clearly distinguishable. | 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 solid, actionable skill with excellent executable code examples covering model routing, token minimization, batching, caching, and usage tracking. Its main weaknesses are the length (could benefit from splitting detailed implementations into separate files) and the lack of validation/verification steps to confirm cost optimizations are working as expected. The pricing table with approximate values is useful but time-sensitive.
Suggestions
Add a validation step after implementing routing (e.g., 'Run dailyCostReport() after 100 requests to verify 8B routing is reducing costs before scaling') to improve workflow clarity.
Move detailed code implementations (caching, batching, tracking) into separate referenced files, keeping SKILL.md as a concise overview with quick-start examples and links to detailed patterns.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is mostly efficient with good code examples, but includes some unnecessary verbosity like the inline cost comments that repeat the pricing table, and the 'expensive' vs 'cheap' prompt comparison is somewhat padded. The pricing table with approximate values that may change is also a concern. | 2 / 3 |
Actionability | All code examples are fully executable TypeScript with proper imports, typed interfaces, and complete implementations. The model routing, caching, batching, and tracking patterns are all copy-paste ready with concrete configurations. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, but there are no validation checkpoints or feedback loops. For cost optimization involving billing and spending caps, there's no verification step to confirm routing is working correctly or that cost savings are actually being achieved before scaling up. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear sections, but the skill is quite long (~180 lines of content) with all code inline. The detailed code implementations for caching, batching, and tracking could be split into referenced files, keeping SKILL.md as a concise overview with links. | 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 | |
- Commit
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- Reviewed
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