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context-loader

Searches and injects relevant memories into context before starting work on a task or topic. Use when beginning a new task, switching context, or when past decisions, preferences, or knowledge need to be loaded.

69

Quality

83%

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SKILL.md
Quality
Evals
Security

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: concise, actionable with a specific tool and output template, a clearly sequenced workflow with edge-case handling, and appropriately self-contained for its scope.

DimensionReasoningScore

Conciseness

Lean and efficient throughout: assumes Claude's competence, explains no background concepts about memories or mem0, and every section (steps table, output block, constraints) earns its place.

3 / 3

Actionability

Provides concrete executable guidance — specific tool name (`mem0_memory`), action and parameter (`action="search"`), a query-angle table, and a copy-paste-ready output template — which is actionable for an instruction-only skill despite the absence of a literal code call.

3 / 3

Workflow Clarity

Five steps are clearly sequenced with explicit checkpoints (deduplicate by memory ID, handle zero results with silent output); the operation is read-only so the destructive-feedback-loop cap does not apply.

3 / 3

Progressive Disclosure

A self-contained sub-50-line skill with well-organized sections (When to use, Steps, Constraints) and no bundle files, satisfying the rubric's allowance for simple skills to score 3 on well-organized sections alone.

3 / 3

Total

12

/

12

Passed

Description

67%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 well-structured with explicit what/when guidance and a clear niche, but its capabilities are stated at a high level and its trigger terms lean procedural rather than covering natural user phrasings.

Suggestions

Enumerate more concrete capabilities (e.g., 'searches memories by topic, people, and project; deduplicates; injects a compact context block') to lift specificity toward 3.

Add natural-language trigger phrases users would actually say (e.g., 'what do we know about X', 'context for X') alongside the procedural triggers to improve trigger-term coverage.

Sharpen distinctiveness by tying triggers more tightly to memory/context-loading intent rather than the generic 'beginning a new task'.

DimensionReasoningScore

Specificity

Names concrete actions ('Searches and injects relevant memories') in a specific domain, but these are high-level rather than a list of multiple distinct concrete operations, matching the 'names domain and some actions' anchor.

2 / 3

Completeness

Clearly states what it does ('Searches and injects relevant memories into context') and provides an explicit 'Use when...' clause answering when to invoke it, satisfying the 'both what AND when with explicit triggers' anchor.

3 / 3

Trigger Term Quality

Includes relevant triggers ('beginning a new task, switching context') but they are somewhat procedural/abstract and miss common natural variations a user would say, fitting 'some relevant keywords but missing common variations.'

2 / 3

Distinctiveness Conflict Risk

Tied to the specific niche of memory loading, but the 'beginning a new task' trigger is broad enough to overlap with general task-initiation skills, matching 'somewhat specific but could still overlap.'

2 / 3

Total

9

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
mem0ai/mem0
Reviewed

Table of Contents

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