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build-with-exa

Build applications and agents with Exa's API: search, contents extraction, answer, Agent API, monitors, websets, OpenAI-compatible endpoints, and exa-py/exa-js SDKs. Use when choosing Exa endpoints, writing Exa API calls, integrating semantic web search or research into products, or debugging Exa request shapes.

72

Quality

90%

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Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

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

The body is a well-structured overview with executable quick-starts, a clear endpoint-selection workflow, and a genuinely useful, one-level-deep reference bundle. Its main weaknesses are duplicated parameter-gating rules between the recommended-request section and Critical Pitfalls, and inline detail that overlaps the common-mistakes reference.

Suggestions

Deduplicate the parameter-gating rules: the maxAgeHours/published-date, category, and highlights rules appear in both the recommended-request section and Critical Pitfalls — state them once and cross-reference the other location.

Trim Critical Pitfalls to the pitfalls not already covered by references/common-mistakes.md, linking there for over-specification and parameter-shape corrections instead of restating them.

Add a minimal inline agent polling/status-check snippet (create run → poll until terminal status → read output) so the most complex workflow has executable guidance without opening the reference.

DimensionReasoningScore

Conciseness

The body is dense and assumes Claude's competence — no concept tutorials or padding — but three rule blocks are stated twice: maxAgeHours/published-date rules (recommended-request section and Critical Pitfalls), category warnings, and highlights guidance. Not 3: there is no verbosity or explanation of known concepts, only trimmable duplication; not 5: the duplicated rule-blocks are more than trivial.

4 / 5

Actionability

Quick Start provides copy-paste-ready Python, TypeScript, and raw HTTP examples for the common case, plus a concrete recommended JSON request. Not 5: only /search has inline executable code — agent polling, contents, and answer workflows are prose plus pointers to reference files.

4 / 5

Workflow Clarity

The 9-item API Decision Workflow is a clear, sequenced routing tree anchored by 'Default to the search endpoint', and agent guidance includes an explicit checkpoint ('wait for a terminal status via polling or SSE and check how the run ended before reading output'). Not 5: no explicit inline error-recovery loop; recovery details are deferred to references.

4 / 5

Progressive Disclosure

All 13 reference files exist, are one level deep, and are indexed in a topics table with well-signaled links — but Critical Pitfalls substantially duplicates the stated topic of references/common-mistakes.md ('Over-specification and parameter-shape corrections'), so content that belongs in a reference file is also inlined. Not 5 for that organization gap; not 3: structure and navigation are otherwise excellent.

4 / 5

Total

16

/

20

Passed

Description

100%Weight 40%Scale 1-5

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 exemplary: it enumerates concrete capabilities, uses natural trigger phrases, explicitly covers both what and when, and is tightly scoped to the Exa product with minimal conflict risk. It is concise with no fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple specific concrete capabilities — 'search, contents extraction, answer, Agent API, monitors, websets, OpenAI-compatible endpoints, and exa-py/exa-js SDKs' — giving comprehensive coverage of the skill's surfaces. Not 4: the coverage is comprehensive rather than having minor gaps.

5 / 5

Completeness

Explicitly answers what ('Build applications and agents with Exa's API: search, contents extraction, answer, Agent API, monitors, websets, OpenAI-compatible endpoints, and SDKs') and when ('Use when choosing Exa endpoints, writing Exa API calls, integrating semantic web search or research into products, or debugging Exa request shapes').

5 / 5

Trigger Term Quality

Natural phrases a user would say include 'writing Exa API calls', 'integrating semantic web search or research into products', and 'debugging Exa request shapes', alongside SDK names (exa-py/exa-js). Not 4: no common variation or synonym is obviously missing.

5 / 5

Distinctiveness Conflict Risk

Strongly branded to Exa with niche, product-specific triggers; it is clearly distinguishable and unlikely to fire for the wrong skill. Third-person voice is used correctly.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

stevenknowswhy/ProfessionalBuyer

Path

.claude/skills/build-with-exa/SKILL.md

Reviewed

Table of Contents

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