exa-architecture-variants
Choose and implement Exa architecture patterns at different scales: direct search, cached search, and RAG pipeline. Use when designing Exa integrations, choosing between simple search and full RAG, or planning architecture for different traffic volumes. Trigger with phrases like "exa architecture", "exa blueprint", "how to structure exa", "exa RAG design", "exa at scale".
84
82%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
100%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 strong skill description that clearly defines its scope around Exa architecture pattern selection and implementation. It effectively communicates what it does (choose and implement patterns at different scales), when to use it (designing integrations, choosing patterns, planning for traffic), and provides explicit trigger phrases. The description is concise, uses third person voice, and carves out a distinct niche.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Choose and implement Exa architecture patterns at different scales: direct search, cached search, and RAG pipeline.' This names three distinct patterns and the decision-making process. | 3 / 3 |
Completeness | Clearly answers both what ('Choose and implement Exa architecture patterns... direct search, cached search, and RAG pipeline') and when ('Use when designing Exa integrations, choosing between simple search and full RAG, or planning architecture for different traffic volumes') with explicit trigger phrases. | 3 / 3 |
Trigger Term Quality | Includes natural trigger terms users would say: 'exa architecture', 'exa blueprint', 'how to structure exa', 'exa RAG design', 'exa at scale'. Also includes domain terms like 'RAG pipeline', 'cached search', 'traffic volumes' that users would naturally mention. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche around Exa-specific architecture patterns and scaling decisions. The combination of 'Exa' + architecture/blueprint/RAG design creates very specific triggers unlikely to conflict with generic search or RAG skills. | 3 / 3 |
Total | 12 / 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 three distinct Exa architecture patterns. Its main weaknesses are the lack of integrated validation/error-recovery steps within the multi-step RAG workflow and the monolithic presentation of three full implementations that could benefit from progressive disclosure. The decision matrix and error handling tables add practical value.
Suggestions
Add explicit validation checkpoints in the RAG pipeline workflow, e.g., checking that `context.results` is non-empty before expanding, and a retry/fallback pattern for API failures between phases.
Consider moving Variant 2 and Variant 3 code into separate referenced files, keeping only Variant 1 and the decision matrix inline in SKILL.md for better progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with real executable code, but the decision matrix and scaling notes tables add some bulk. The code examples are substantial but justified given three distinct architecture patterns. Some minor verbosity in comments and the 'Best for' descriptions. | 2 / 3 |
Actionability | All three variants provide fully executable TypeScript code with real Exa SDK methods, proper imports, concrete configuration objects, and copy-paste ready implementations. The decision matrix gives specific thresholds for choosing between variants. | 3 / 3 |
Workflow Clarity | The RAG pipeline has clear phases (1-4) and a full pipeline method, but lacks explicit validation checkpoints. There's no guidance on verifying API responses, handling partial failures in the multi-step RAG pipeline, or retry logic. The error handling table is reactive rather than integrated into the workflow. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and a decision matrix upfront, but the three full code examples make this quite long. The RAG pipeline code could be referenced externally. The 'Next Steps' reference to `exa-reference-architecture` is good but the main content is somewhat monolithic. | 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
70e9fa4
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.