agent-memory-mcp

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

10.00x

Quality

48%

Does it follow best practices?

Impact

100%

10.00x

Average score across 3 eval scenarios

Securityby

Advisory

Suggest reviewing before use

Fix and improve this skill with Tessl

tessl review fix ./docs/v19.7/configuration/agent/skills_external/antigravity-awesome-skills-main/skills/agent-memory-mcp/SKILL.md

Quality

Content

79%

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

This is a well-structured, concise skill that provides actionable setup instructions and clear tool documentation. The main weaknesses are the lack of validation steps in the setup workflow (e.g., how to verify the server is running) and the inline documentation that could be split for better progressive disclosure.

Suggestions

Add a validation step after 'Start the MCP Server' to verify successful startup (e.g., expected output, health check command, or how to confirm connection)

Consider moving detailed MCP tool documentation to a separate REFERENCE.md and keeping only quick-reference summaries in the main skill file

Dimension	Reasoning	Score
Conciseness	The content is lean and efficient, providing only necessary setup steps and tool documentation without explaining concepts Claude already knows. No padding or unnecessary context.	3 / 3
Actionability	Provides fully executable bash commands for setup, concrete MCP tool signatures with args, and clear usage examples showing input-to-tool mapping. Copy-paste ready.	3 / 3
Workflow Clarity	Setup steps are clearly sequenced (clone, install, start), but lacks validation checkpoints. No verification that the MCP server started successfully or troubleshooting guidance if it fails.	2 / 3
Progressive Disclosure	Content is well-organized with clear sections, but the capabilities section is fairly detailed inline. Could benefit from linking to a separate REFERENCE.md for full API documentation or advanced usage patterns.	2 / 3
	Total	10 / 12 Passed

Description

17%

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 identifies the skill's domain (memory/knowledge management) but fails to provide actionable guidance for skill selection. It lacks concrete actions Claude would perform, natural user-facing trigger terms, and explicit 'Use when...' guidance. The technical framing ('hybrid memory system for AI agents') describes architecture rather than user-facing functionality.

Suggestions

Add a 'Use when...' clause with explicit triggers like 'Use when the user wants to save information for later, recall previous decisions, or search stored knowledge'

Replace technical jargon with natural trigger terms users would say: 'remember this', 'what did we decide about', 'store', 'recall', 'look up previous'

List specific concrete actions: 'Stores architectural decisions, retrieves past patterns, searches saved knowledge, tracks project context across sessions'

Dimension	Reasoning	Score
Specificity	Names the domain ('hybrid memory system', 'knowledge management') and mentions some capabilities ('persistent, searchable'), but lacks concrete actions. The parenthetical '(Architecture, Patterns, Decisions)' hints at content types but doesn't describe what actions Claude performs.	2 / 3
Completeness	Describes what it is (a memory system) but completely lacks a 'Use when...' clause or any explicit trigger guidance. Users have no indication of when Claude should select this skill.	1 / 3
Trigger Term Quality	Uses technical jargon ('hybrid memory system', 'AI agents') that users wouldn't naturally say. Missing natural trigger terms like 'remember', 'store', 'recall', 'notes', 'save for later', or 'look up'.	1 / 3
Distinctiveness Conflict Risk	'Knowledge management' and 'memory system' are somewhat specific to this domain, but could overlap with note-taking, documentation, or database skills. The parenthetical categories help narrow scope but aren't definitive.	2 / 3
	Total	6 / 12 Passed

Validation

90%

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 — 10 / 11 Passed

Validation for skill structure

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

	Total	10 / 11 Passed

Repository: duclm1x1/Dive-Ai
Commit: 20ba150

Reviewed: 5 months ago

Table of Contents

Discovery Implementation Validation

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