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firecrawl-architecture-variants

Choose and implement Firecrawl architecture patterns for different scales and use cases. Use when designing new Firecrawl integrations, choosing between on-demand/scheduled/pipeline architectures, or planning scraping infrastructure. Trigger with phrases like "firecrawl architecture", "firecrawl blueprint", "how to structure firecrawl", "firecrawl at scale", "firecrawl pipeline design".

74

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

The body is highly actionable and concise with executable code and a clear architecture decision tree, but batch crawl/ingestion workflows lack explicit validation feedback loops, capping workflow clarity at 2. The dangling reference to a non-existent firecrawl-known-pitfalls file is a minor imperfection in an otherwise well-organized structure.

Suggestions

Add explicit validate→fix→retry feedback loops for the scheduled crawl and batch-scrape workflows (e.g., check crawl status, retry failed pages, re-validate rejected content) so workflow_clarity can reach 3.

Either create the referenced firecrawl-known-pitfalls file or remove/replace the dangling "see firecrawl-known-pitfalls" pointer in Next Steps with content that actually exists.

Consider moving the long per-architecture code blocks into a references/ file with one-line summaries in SKILL.md to strengthen progressive disclosure and reduce token load.

DimensionReasoningScore

Conciseness

The body is lean with no preamble explaining concepts Claude already knows — it leads with a decision matrix and compact, purposeful code blocks per architecture, each token earning its place per the score-3 anchor; the code volume is justified by distinct architectures.

3 / 3

Actionability

Fully executable TypeScript with real imports and concrete Firecrawl API calls (scrapeUrl, asyncCrawlUrl, batchScrapeUrls, mapUrl), specific options, and concrete cron schedules, matching the copy-paste-ready score-3 anchor.

3 / 3

Workflow Clarity

Sequences and flow diagrams are present and a decision tree guides architecture choice, but batch/crawl operations lack explicit validate→fix→retry feedback loops; the error-handling table is descriptive rather than checkpointed, so per the batch-operation cap workflow clarity stays at 2.

2 / 3

Progressive Disclosure

Well-organized single-level sections (Overview, Decision Matrix, three architectures, Choosing, Error Handling, Resources, Next Steps) with clear headings and no deep nesting; the rubric permits 3 for well-organized skills without external bundle files, which this is.

3 / 3

Total

11

/

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 specific, complete, and distinctive: it names concrete actions, provides an explicit Use-when clause with natural trigger phrases, and is scoped tightly to Firecrawl architecture work. All dimensions hit the top anchor.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — "Choose and implement Firecrawl architecture patterns", "designing new Firecrawl integrations", "planning scraping infrastructure" — matching the score-3 anchor rather than the partial score-2 anchor.

3 / 3

Completeness

Explicitly answers both what ("Choose and implement Firecrawl architecture patterns for different scales and use cases") and when ("Use when designing new Firecrawl integrations... or planning scraping infrastructure") with explicit triggers.

3 / 3

Trigger Term Quality

Provides natural trigger phrases a user would actually say ("how to structure firecrawl", "firecrawl at scale", "firecrawl pipeline design", "firecrawl blueprint"), giving good coverage per the score-3 anchor.

3 / 3

Distinctiveness Conflict Risk

Tightly scoped to a named product (Firecrawl) with distinct triggers, forming a clear niche unlikely to conflict with unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

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
Reviewed

Table of Contents

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