Name: memory-manager
Rating: 63.2 (1 reviews)
Author: fernandezbaptiste

memory-manager

External persistent memory for cross-session knowledge. Use when storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge.

Quality

76%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./.claude/skills/memory-manager/SKILL.md

The canonical home for this skill is memory-manager in fernandezbaptiste/Skrillz

Quality

Content

71%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.

The body is well-organized with concrete, mostly executable code examples covering the core memory operations. Its weaknesses are broken bundle-file references, a duplicated inline taxonomy that already has a reference file, and minor verbosity in the ASCII and conceptual blocks.

Suggestions

Remove or create the two missing referenced files (references/RETRIEVAL-PATTERNS.md and scripts/knowledge_base.py) so every listed reference resolves to a real bundle file.

Trim the inline ASCII Memory Types box since references/MEMORY-TYPES.md already documents the taxonomy; keep a one-line pointer instead to avoid duplication.

Replace the "project_dir" placeholder in the Quick Start snippet with a concrete value or a one-line definition so the example is fully copy-paste ready.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient with concrete code blocks and short sections, but the ~26-line ASCII "Memory Types" box and the illustrative "Causal Memory Pattern" block are mildly over-explanatory and could be trimmed, fitting anchor 4 rather than the fully lean anchor 5.	4 / 5
Actionability	Code examples for store, store_causal_chain, and get_similar_errors are concrete and largely copy-paste ready, with only minor gaps such as the undefined project_dir argument, matching anchor 4 rather than the fully executable anchor 5.	4 / 5
Workflow Clarity	The discrete memory operations are presented clearly and unambiguously, but the body exceeds 50 lines and there is no end-to-end sequenced workflow with validation checkpoints, so it sits at anchor 4 rather than 5.	4 / 5
Progressive Disclosure	Structure is well-sectioned with a dedicated References block, but two referenced bundle files do not exist (references/RETRIEVAL-PATTERNS.md and scripts/knowledge_base.py) and the Memory Types taxonomy is duplicated inline while references/MEMORY-TYPES.md already exists, fitting anchor 3 (some structure, organization gaps) better than anchor 4.	3 / 5
	Total	15 / 20 Passed

Description

81%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, specific description that clearly answers both what the skill does and when to use it, with concrete enumerated actions. Its main weakness is trigger-term naturalness: "causal memory chains" is internal jargon and common user phrasings/synonyms are absent.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — "storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge" — giving comprehensive coverage of the memory operations, matching the anchor 5 example that enumerates four specific actions.	5 / 5
Completeness	Explicitly states both what ("External persistent memory for cross-session knowledge") and when ("Use when storing error patterns, retrieving learned solutions, managing causal memory chains, or persisting project knowledge") with concrete trigger phrases, matching anchor 5.	5 / 5
Trigger Term Quality	Terms like "error patterns", "learned solutions", and "persisting project knowledge" are reasonably natural, but "causal memory chains" is internal jargon a user would not naturally say, and common synonyms/file-extension-style variations are missing, so it fits anchor 3 rather than 4.	3 / 5
Distinctiveness Conflict Risk	The "external persistent memory" / "causal memory chains" niche is mostly distinct, but "persisting project knowledge" is broad enough to overlap with general context or memory-related skills, placing it at anchor 4 rather than 5.	4 / 5
	Total	17 / 20 Passed

Validation

87%

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 — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
referenced_paths_exist	Referenced path issues: 2 missing	Warning

	Total	14 / 16 Passed

Repository: fernandezbaptiste/Skrillz
Path: .claude/skills/memory-manager/SKILL.md
Commit: 93ed392

Reviewed: 1 day ago

Table of Contents

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