firecrawl-reference-architecture

Implement Firecrawl reference architecture with scrape/crawl/map/extract pipelines. Use when designing new Firecrawl integrations, reviewing project structure, or building content ingestion pipelines for AI/RAG applications. Trigger with phrases like "firecrawl architecture", "firecrawl project structure", "firecrawl pipeline", "firecrawl RAG", "firecrawl knowledge base".

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 content is concise and highly actionable, with executable code throughout and no wasted explanation. Its weaknesses are workflow clarity — batch crawl/scrape pipelines lack explicit validation checkpoints and feedback loops — and progressive disclosure, since substantial inline code is not split into referenced bundle files.

Suggestions

Add explicit validation checkpoints to the crawl/scrape workflows (e.g., verify crawl completion and credit usage, validate stored output before declaring success) with a validate→fix→retry loop, especially for the batch intelligentScrape and crawlAndStore steps.

Move the full per-step implementations into referenced bundle files (e.g., references/service.ts, references/pipeline.md) and keep SKILL.md as an overview with well-signaled one-level-deep links, improving progressive disclosure.

Fold the standalone Error Handling table into the relevant pipeline steps as inline recovery actions so error handling becomes part of the workflow sequence rather than a separate lookup.

Dimension	Reasoning	Score
Conciseness	The body is lean and code-centric — an architecture diagram, four executable TypeScript blocks, and a compact error-handling table — with no padding explaining concepts Claude already knows. It assumes competence and every section earns its place, matching the score-3 anchor.	3 / 3
Actionability	Provides fully executable, copy-paste-ready TypeScript across four pipeline steps (service layer, content processing, intelligent scrape, async crawl with storage) plus runnable Examples, matching the score-3 anchor of complete executable code with specific examples.	3 / 3
Workflow Clarity	Steps are clearly sequenced (Step 1 through Step 4), but these are batch scraping/crawl operations with no explicit validation checkpoints or validate→fix→retry feedback loop in the workflow narrative; the Error Handling section is a lookup table rather than embedded checkpoints, so per the rubric batch operations without validation caps the score at 2.	2 / 3
Progressive Disclosure	No bundle files exist (references/, scripts/, assets/ are absent) and the ~240-line body inlines four full implementations as a single monolithic document with section headings but no one-level-deep references to separate files, matching the score-2 anchor where content that could be separate is inline.	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 specific, complete, and distinctive: it names concrete actions, includes explicit 'Use when' triggers with natural phrasing, and is anchored to a named SaaS tool that avoids conflict with other skills. Voice is consistently third person, so no specificity penalty applies.

Dimension	Reasoning	Score
Specificity	Names multiple concrete actions such as 'Implement Firecrawl reference architecture with scrape/crawl/map/extract pipelines', 'designing new Firecrawl integrations', 'reviewing project structure', and 'building content ingestion pipelines', matching the score-3 anchor of listing multiple specific concrete actions.	3 / 3
Completeness	Explicitly answers both 'what' (implement Firecrawl architecture with scrape/crawl/map/extract pipelines) and 'when' ('Use when designing new Firecrawl integrations, reviewing project structure, or building content ingestion pipelines'), with an explicit 'Use when...' trigger clause matching the score-3 anchor.	3 / 3
Trigger Term Quality	Provides natural trigger phrases a user would actually say — 'firecrawl architecture', 'firecrawl project structure', 'firecrawl pipeline', 'firecrawl RAG', 'firecrawl knowledge base' — giving good coverage of natural terms rather than technical jargon.	3 / 3
Distinctiveness Conflict Risk	Firecrawl is a specific named SaaS tool with distinct, niche triggers, making this description clearly distinguishable from other skills and unlikely to trigger the wrong skill.	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: 3022dd3

Reviewed: about 8 hours ago

Table of Contents

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