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huckleberry

Track baby sleep, feeding, diapers, and growth via Huckleberry app API. Use for logging baby activities through natural language.

82

Quality

81%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Discovery

85%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a well-crafted skill description that clearly identifies its domain (baby tracking via Huckleberry), lists specific trackable activities, and includes explicit usage guidance. The main weakness is that trigger terms could be expanded to include more natural variations of how parents might describe these activities (e.g., 'nap time', 'bottle feeding', 'diaper change').

Suggestions

Expand trigger terms to include common variations like 'nap', 'bottle', 'nursing', 'diaper change', 'weight tracking', or mentioning 'Huckleberry' explicitly in the 'Use when' clause

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Track baby sleep, feeding, diapers, and growth' - these are distinct, concrete activities that clearly define what the skill does.

3 / 3

Completeness

Clearly answers both what ('Track baby sleep, feeding, diapers, and growth via Huckleberry app API') and when ('Use for logging baby activities through natural language') with explicit trigger guidance.

3 / 3

Trigger Term Quality

Includes some natural keywords like 'baby sleep, feeding, diapers, growth' and 'baby activities', but missing common variations users might say like 'nap', 'bottle', 'nursing', 'diaper change', 'weight', or 'Huckleberry' as a trigger term.

2 / 3

Distinctiveness Conflict Risk

Very clear niche with 'Huckleberry app API' and baby-specific activities - unlikely to conflict with other skills due to the specific app integration and domain focus.

3 / 3

Total

11

/

12

Passed

Implementation

77%

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

This is a strong, highly actionable skill with excellent command documentation and clear workflows for baby tracking operations. The main weaknesses are some unnecessary explanatory content (color/consistency medical guides) and the monolithic structure that could benefit from splitting into overview + reference files. The AI attribution guidelines and clarification prompts are particularly well-designed for agent use.

Suggestions

Remove the color guide and consistency guide sections - Claude already knows this medical information and it adds ~30 lines of unnecessary content

Consider splitting the parameter reference tables into a separate REFERENCE.md file, keeping SKILL.md as a quick-start overview with links to detailed docs

Remove or condense the credits, technical notes, and 'not supported' sections which add little actionable value for the agent

DimensionReasoningScore

Conciseness

The skill is mostly efficient with good reference tables, but includes some unnecessary content like the color/consistency guides (medical knowledge Claude already has), credits section, and verbose troubleshooting that could be trimmed.

2 / 3

Actionability

Excellent executable examples throughout - every command has copy-paste ready syntax, parameter tables are complete with values and defaults, and natural language examples map directly to specific commands.

3 / 3

Workflow Clarity

Clear sequences for multi-step operations (sleep: start→pause→resume→complete, feeding: start→switch→complete), explicit guidance on when to ask for clarification, and the AI attribution workflow is well-defined with specific patterns.

3 / 3

Progressive Disclosure

Content is well-organized with clear sections, but it's a monolithic document that could benefit from splitting the parameter reference and natural language examples into separate files. The 300+ line single file could be better structured.

2 / 3

Total

10

/

12

Passed

Validation

72%

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

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

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

Warning

Total

8

/

11

Passed

Repository
Demerzels-lab/elsamultiskillagent
Reviewed

Table of Contents

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