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agent-memory-mcp

tessl i github:sickn33/antigravity-awesome-skills --skill agent-memory-mcp

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

61%

Overall

Validation

Implementation

Activation

SKILL.md
Review
Evals

Validation

69%
CriteriaDescriptionResult

skill_md_line_count

SKILL.md line count is 83 (<= 500)

Pass

frontmatter_valid

YAML frontmatter is valid

Pass

name_field

'name' field is valid: 'agent-memory-mcp'

Pass

description_field

'description' field is valid (131 chars)

Pass

description_voice

'description' uses third person voice

Pass

description_trigger_hint

Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...')

Warning

compatibility_field

'compatibility' field not present (optional)

Pass

allowed_tools_field

'allowed-tools' field not present (optional)

Pass

metadata_version

'metadata' field is not a dictionary

Warning

metadata_field

'metadata' field not present (optional)

Pass

license_field

'license' field is missing

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

body_present

SKILL.md body is present

Pass

body_examples

Examples detected (code fence or 'Example' wording)

Pass

body_output_format

No obvious output/return/format terms detected; consider specifying expected outputs

Warning

body_steps

Step-by-step structure detected (ordered list)

Pass

Total

11

/

16

Passed

Implementation

80%

This is a well-structured skill with excellent conciseness and actionability - commands are copy-paste ready and tool usage examples are concrete. The main weaknesses are missing validation steps in the setup workflow (how to verify the server started correctly) and the dashboard section lacks integration guidance with the main workflow.

Suggestions

  • Add a validation step after server start, e.g., 'Verify server is running: check for "MCP server listening" message or test with memory_stats({})'
  • Add brief troubleshooting guidance for common setup failures (port conflicts, missing dependencies)
  • Clarify when to use the dashboard vs MCP tools directly, or move dashboard docs to a separate file
DimensionReasoningScore

Conciseness

The content is lean and efficient, avoiding unnecessary explanations. It assumes Claude knows what MCP servers, Node.js, and git are without explaining these concepts.

3 / 3

Actionability

Provides fully executable commands for setup (git clone, npm install, npm run) and concrete examples for each MCP tool with specific argument structures and usage patterns.

3 / 3

Workflow Clarity

Setup steps are clearly sequenced (1-3), but there's no validation checkpoint after installation or server start. No guidance on verifying the server is running correctly or troubleshooting if it fails.

2 / 3

Progressive Disclosure

Content is reasonably organized with clear sections, but the MCP tools documentation could be split to a separate REFERENCE.md. The dashboard section feels tacked on without context on when/why to use it.

2 / 3

Total

10

/

12

Passed

Activation

17%

The description uses abstract, technical language that describes a concept rather than concrete capabilities. It lacks natural trigger terms users would say and provides no guidance on when Claude should select this skill. The parenthetical content types hint at structure but don't clarify actionable use cases.

Suggestions

  • Add a 'Use when...' clause with natural trigger terms like 'remember this', 'store for later', 'what did we decide about', 'look up previous decisions'
  • Replace abstract language with concrete actions: 'Store and retrieve architectural decisions, design patterns, and project knowledge' instead of 'provides persistent, searchable knowledge management'
  • Include file types or specific scenarios: 'Use when documenting technical decisions, recording learned patterns, or recalling previous project context'
DimensionReasoningScore

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 can be performed.

2 / 3

Completeness

Partially addresses 'what' (knowledge management) but completely missing 'when' guidance. No 'Use when...' clause or equivalent trigger guidance exists.

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 information', or 'look up'.

1 / 3

Distinctiveness Conflict Risk

The 'hybrid memory system' and 'AI agents' framing provides some distinctiveness, but 'knowledge management' is generic and could overlap with note-taking, documentation, or other storage-related skills.

2 / 3

Total

6

/

12

Passed

Reviewed

Table of Contents

ValidationImplementationActivation

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