learn-rule

Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says "remember this", "don't forget", "note this", or "learn from this".

Quality

100%

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

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 body is a tight, well-organized instruction skill: concrete format templates, a worked example, an approval-gated workflow, and clear guardrails. It assumes Claude's competence and avoids concept explanations, scoring at the top of every dimension.

Dimension	Reasoning	Score
Conciseness	Lean, well-sectioned content with no padding or explanation of concepts Claude already knows; every section (Format, Categories, Example, Guardrails) earns its place.	3 / 3
Actionability	Provides a concrete [LEARN] format template with category/mistake/correction fields, a worked example, and explicit good/bad guardrail contrasts; guidance is actionable for an instruction-only skill.	3 / 3
Workflow Clarity	A clear four-step sequence includes an explicit approval checkpoint ("Propose the addition and wait for user approval") reinforced by the Guardrails, suiting this simple single-purpose skill.	3 / 3
Progressive Disclosure	Self-contained, well-organized into clear sections with no nested or deep references; for a single-purpose skill with no bundle files, the clean sectioning satisfies the top anchor.	3 / 3
	Total	12 / 12 Passed

Description

100%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 concise, specific, and uses third-person/active voice with no first/second-person slip. It clearly states both capabilities and explicit natural-language triggers, hitting the top anchor on every dimension.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions (capture, store, categorise, retrieve) and concrete structural elements (category, mistake, correction), matching the highest anchor for specific concrete actions.	3 / 3
Completeness	Explicitly answers both what ("Capture a correction or lesson as a persistent learning rule...") and when ("Use after mistakes or when the user says..."), with an explicit trigger clause.	3 / 3
Trigger Term Quality	Provides four natural user phrasings ("remember this", "don't forget", "note this", "learn from this") plus "after mistakes", giving strong coverage of terms a user would naturally say.	3 / 3
Distinctiveness Conflict Risk	The category/mistake/correction structure and specific trigger phrases carve a clear niche (capturing lessons into memory rules) unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: rohitg00/pro-workflow
Path: skills/learn-rule/SKILL.md
Commit: 7f7209d

Reviewed: 8 days ago

Table of Contents

Discovery Implementation Validation

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