ljg-word

Deep-dive English word mastery tool. Deconstructs a single English word into core semantics and epiphany. Use when user asks to explain/master a specific English word.

Quality

87%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

Securityby

Passed

No findings from the security scan

Quality

Content

100%Weight 40%Scale 1-3

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

The content is a lean, well-structured instruction-only skill with concrete output templates and an unambiguous single-step workflow. It scores at the top across all dimensions with no significant gaps.

Dimension	Reasoning	Score
Conciseness	The body is short and lean with no padding of concepts Claude already knows; the prose is substantive tone/format guidance ("用充满洞见的语言", "分段清晰，加粗关键词") rather than filler.	3 / 3
Actionability	It gives concrete, copy-paste-ready output templates (e.g. `## {Word} /{音标}/ {中文翻译}` and `> "English sentence. 中文金句。"`) plus specific per-section instructions, which is fully actionable for an instruction-only skill.	3 / 3
Workflow Clarity	This is a simple single-purpose skill whose single action is unambiguous: normalize casing then emit a sequenced three-part output, so per the simple-skill note it earns the top score without explicit checkpoints.	3 / 3
Progressive Disclosure	Under 50 lines with no need for external references, it is organized into clearly labeled sections (Usage, Instructions, 输出结构 with numbered subsections), satisfying the simple-skill bar for the top score.	3 / 3
	Total	12 / 12 Passed

Description

75%Weight 40%Scale 1-3

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 well-formed with an explicit trigger clause and a clear, distinctive niche, but the capability description is a single abstract action and the trigger terms lack common synonyms. Tightening the action list and broadening trigger phrasing would lift the middle anchors.

Suggestions

Replace the single abstract action with multiple concrete ones, e.g. "Deconstructs a word into its etymology, core imagery, and a bilingual insight; outputs a structured Markdown breakdown."

Broaden trigger terms to include natural variations like "explain, define, or unpack the meaning of a specific English word".

Dimension	Reasoning	Score
Specificity	Names the domain and a main action ("Deconstructs a single English word into core semantics and epiphany"), but it is a single abstract action rather than a list of multiple concrete actions, so it falls short of the top anchor.	2 / 3
Completeness	It states both what the skill does ("Deep-dive English word mastery tool. Deconstructs...") and an explicit "Use when user asks to explain/master a specific English word" trigger clause, satisfying both what and when.	3 / 3
Trigger Term Quality	Includes relevant natural terms ("explain/master a specific English word"), but misses common variations users would say such as "define", "meaning of", or "what does X mean", keeping it at the middle anchor.	2 / 3
Distinctiveness Conflict Risk	The niche is specific (deep-dive mastery of a single English word) with distinct triggers, making it unlikely to fire for unrelated skills.	3 / 3
	Total	10 / 12 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: lijigang/ljg-skills
Path: skills/ljg-word/SKILL.md
Commit: 0e78094

Reviewed: 9 days ago

Table of Contents

Discovery Implementation Validation

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.