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".

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Quality

Content

80%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The skill body is lean and highly actionable, with complete executable code and dense reference tables that respect Claude's competence. It is weaker on workflow clarity (no validation feedback loops in the multi-step RAG pipeline) and progressive disclosure (a monolithic 210-line document with no detail files split out).

Suggestions

Add explicit validation checkpoints to the RAG pipeline workflow — e.g., after gatherContext verify results are non-empty/relevant before expandContext, and define a retry-on-error path so the multi-step process has a validate->fix->retry loop.

Split the three full variant implementations into separate reference files (e.g., references/direct-search.md, references/cached-search.md, references/rag-pipeline.md) and keep SKILL.md as an overview with the decision matrix and one-level-deep links, improving progressive disclosure.

Reconcile the method names used in code with the Overview list (the Overview cites findSimilar and getContents while Variant 3 calls findSimilarAndContents) so the executable examples match the stated API surface.

Dimension	Reasoning	Score
Conciseness	The body is information-dense — a decision matrix, terse "Best for:" lines, complete code, and compact tables — with no explanation of concepts Claude already knows; it assumes competence and avoids the editorializing that marks the level-2 anchor.	3 / 3
Actionability	All three variants are fully executable TypeScript with real Exa SDK calls, imports, and setup, making them copy-paste ready rather than pseudocode or abstract description.	3 / 3
Workflow Clarity	The RAG pipeline is clearly sequenced (Phase 1 gatherContext through Phase 4 getAnswer plus a research() orchestrator), but there are no explicit validation checkpoints or validate->fix->retry feedback loops, leaving the sequence without the checkpoints the top anchor requires.	2 / 3
Progressive Disclosure	The document is well-organized with clear sections, but it is monolithic: no bundle files exist and all three full code implementations sit inline, so content that could be split into one-level-deep reference files is not, and the only pointer ("see exa-reference-architecture") targets another skill rather than a bundled detail file.	2 / 3
	Total	10 / 12 Passed

Description

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.

The description is well-crafted: it states concrete capabilities, gives an explicit Use-when clause, lists natural trigger phrases, and occupies a distinct Exa-specific niche. It scores at the top of every dimension with no vague fluff or over-claims.

Dimension	Reasoning	Score
Specificity	"Choose and implement Exa architecture patterns at different scales: direct search, cached search, and RAG pipeline" names concrete actions and three specific implementation variants, matching the anchor that lists multiple specific concrete actions rather than vague language.	3 / 3
Completeness	It states what the skill does (choose/implement architecture patterns across three variants) and when to use it ("Use when designing Exa integrations... or planning architecture for different traffic volumes") with explicit trigger phrases, clearly answering both what and when.	3 / 3
Trigger Term Quality	Trigger phrases "exa architecture", "exa blueprint", "how to structure exa", "exa RAG design", "exa at scale" give good coverage of natural terms a user working with Exa would actually say, satisfying the highest anchor.	3 / 3
Distinctiveness Conflict Risk	The Exa-architecture niche is narrow and the triggers ("exa architecture", "exa blueprint") are distinctive, making it unlikely to fire for an unrelated skill; voice is third-person/imperative with no first/second-person penalty.	3 / 3
	Total	12 / 12 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 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	14 / 16 Passed

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 02d6341

Reviewed: 2 days ago

Table of Contents

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