summarize-pro

When user asks to summarize text, articles, documents, meetings, emails, YouTube transcripts, books, PDFs, reports, conversations, or any long content. Also handles bullet points, key takeaways, action items, TL;DR, ELI5, executive summaries, chapter summaries, comparison summaries, translation summaries, thread summaries, and custom-length summaries. 20-feature AI summarizer with multiple formats, languages, and export options. All processing happens locally — NO external API calls, NO network requests, NO data sent to any server.

Quality

82%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

65%

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

The content is highly actionable with concrete per-feature templates, but it is verbose, monolithic, and lacks validation feedback loops for its batch/history-maintenance operations.

Suggestions

Trim decorative template borders, emoji headers, gamification achievements, and the self-promotion footer to reduce token bloat (conciseness).

Add explicit validate->fix->retry checkpoints for destructive/batch paths such as history auto-trim and corrupted-file backup (workflow_clarity).

Split the 20 feature templates into one-level-deep reference files (e.g. FORMATS.md, COMMANDS.md) so SKILL.md stays an overview (progressive_disclosure).

Dimension	Reasoning	Score
Conciseness	The ~670-line body is padded with decorative output templates, repeated word-reduction stat blocks, gamification achievements, and concepts Claude already knows; functional but far from lean.	2 / 3
Actionability	Each feature provides concrete format templates, specific file paths, JSON shapes, and example commands that are directly executable.	3 / 3
Workflow Clarity	Per-feature steps are listed, but destructive/batch operations like auto-trimming history and corrupted-file recovery lack explicit validate-fix-retry checkpoints, capping clarity at 2.	2 / 3
Progressive Disclosure	Everything lives in one monolithic file with no bundle references or splitting; a body this large should be partitioned into referenced sub-files.	2 / 3
	Total	9 / 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 strong across all dimensions: it states concrete capabilities, includes abundant natural trigger terms, opens with an explicit 'when to use' clause, and occupies a clear niche.

Dimension	Reasoning	Score
Specificity	Names the summarization domain and many concrete output actions — "bullet points, key takeaways, action items, TL;DR, ELI5, executive summaries" — matching the multiple-specific-actions anchor.	3 / 3
Completeness	Opens with an explicit "When user asks to summarize..." trigger clause and lists the capabilities, so it answers both what and when.	3 / 3
Trigger Term Quality	Covers natural user phrasing such as "summarize", "tldr", "eli5", "key takeaways", and "executive summaries" that a user would naturally say.	3 / 3
Distinctiveness Conflict Risk	The summarization niche is narrow and bristling with distinct trigger terms, making conflict with unrelated skills unlikely.	3 / 3
	Total	12 / 12 Passed

Validation

81%

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 — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (679 lines); consider splitting into references/ and linking	Warning
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning

	Total	13 / 16 Passed

Repository: UnicomAI/wanwu
Path: configs/microservice/bff-service/configs/agent-skills/clawhub/summarize-pro/SKILL.md
Commit: f618458

Reviewed: about 14 hours ago

Table of Contents

Discovery Implementation Validation

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