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suggest-automations

Offer the three most common automations for a user as a single-choice card, from your own knowledge of their team and their apps, then build the one they choose once they confirm, or offer more. The system preloads it on onboarding threads, where the opening card already asked the user about themselves. Use it on other threads when the user asks what they could automate or wants ideas for a first workflow.

68

Quality

86%

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SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

An exceptionally actionable conversational-flow skill: exact card configurations, option labels, phrasing templates, and a fully branched decision tree with explicit gates and fallbacks for every user response. The only real improvements are minor — consolidating repeated skip/leave-onboarding handling and splitting always-vs-sometimes-needed detail into a reference file.

Suggestions

Consolidate the skip/`leave-onboarding` reply guidance, which currently appears in step 3, step 4, and the Rules section, into one place (e.g. the Rules section) referenced from the steps.

Consider moving the onboarding-thread input handling and/or the suggestion-format specification into a one-level-deep reference file, keeping the always-needed flow in SKILL.md.

DimensionReasoningScore

Conciseness

Dense, procedural text with no explanations of concepts Claude already knows. Minor redundancy could be trimmed: skip/`leave-onboarding` handling is spelled out in step 3, step 4, and the Rules section, and `Show me other ideas` behavior is explained in both step 2 and step 3. Not 5 because of that repetition; not 3 because padding is incidental rather than a broad over-explanation problem.

4 / 5

Actionability

Fully executable guidance: exact question texts ("Which one feels most useful?", "Nice! Should I build this now?"), exact option labels (`Yes, build it`, `Not now`, `Show me other ideas`), hard constraints (titles "of at most 6 words", descriptions "of at most 18 words"), and a copy-paste example option string. Specific examples cover the common conversational cases, matching the anchor 5 standard for an instruction-only skill.

5 / 5

Workflow Clarity

A five-step Flow with every answer branch enumerated (suggestion, `Show me other ideas`, free-text task, free-text change, skip, `answered: false`), an explicit build gate ("A build needs `Yes, build it` from the user"), and feedback loops ("Not now" returns to step 2; every card answer is read and routed). The operations are conversational and user-confirmed, so the destructive/batch validation cap does not apply.

5 / 5

Progressive Disclosure

Well-organized single-file structure (Input / Flow / Rules) with no dead-end or nested references, and nearly all content is needed on every invocation, so inline placement is defensible. Not 5: at ~127 lines it exceeds the simple-skill threshold, and the onboarding-specific input handling and the suggestion-format spec (title/description/apps rules) are plausible candidates for a one-level-deep reference file. Not 3: structure is clear and content is appropriately placed overall.

4 / 5

Total

18

/

20

Passed

Description

78%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.

A strong description that clearly states what the skill does and when to use it, with concrete natural-language triggers for both onboarding and general threads. Its main weaknesses are the second-person "from your own knowledge" phrase (voice penalty) and unnamed domain/platform, plus a few missing trigger synonyms.

Suggestions

Rewrite in consistent third person, e.g. "from its knowledge of the user's team and apps" or simply "based on their team and apps", to avoid the second-person voice penalty.

Name the domain explicitly (e.g. "n8n automations" or "workflow automations") so the concrete actions are anchored to a specific platform.

Add one or two common trigger variations, such as "automation ideas" or "automate repetitive tasks", to broaden natural keyword coverage.

DimensionReasoningScore

Specificity

Base 4: it lists several concrete actions — "Offer the three most common automations for a user as a single-choice card", "build the one they choose once they confirm, or offer more" — with only minor coverage gaps (the n8n domain is never named). The second-person phrase "from your own knowledge of their team" triggers the rubric's one-point voice penalty, reducing it to 3. Not 2: far more than minimal or generic actions are named.

3 / 5

Completeness

Explicitly answers both: what — "Offer the three most common automations … then build the one they choose once they confirm, or offer more" — and when — "Use it on other threads when the user asks what they could automate or wants ideas for a first workflow", plus the onboarding preload context. Matches the anchor 5 example structure with concrete trigger phrases.

5 / 5

Trigger Term Quality

Includes natural phrases a user would actually say: "asks what they could automate" and "wants ideas for a first workflow". Not 5: common variations such as "automation ideas", "automate tasks", or platform-specific terms are missing. Not 3: the key natural trigger phrases are present and well-matched.

4 / 5

Distinctiveness Conflict Risk

Clear niche (suggest-and-confirm automations, preloaded on onboarding threads) with distinct triggers. Not 5: "build the one they choose" edges into workflow-builder territory, creating minor overlap risk with a closely related build skill. Not 3: the suggestion/ideation trigger set is specific and unlikely to fire for unrelated skills.

4 / 5

Total

16

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
n8n-io/n8n
Reviewed

Table of Contents

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