Use when working with context management context save
43
14%
Does it follow best practices?
Impact
91%
1.31xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/context-management-context-save/SKILL.mdQuality
Discovery
22%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description is severely lacking in substance. It provides no information about what the skill actually does - only a vague trigger phrase. The circular phrasing 'context management context save' is redundant and unhelpful for Claude to understand when to select this skill over others.
Suggestions
Add concrete actions describing what this skill does (e.g., 'Saves conversation context to persistent storage, exports session history, creates context snapshots for later retrieval').
Expand trigger terms with natural variations users would say (e.g., 'save session', 'remember this', 'store conversation', 'export context', 'create checkpoint').
Restructure to follow the pattern: '[What it does]. Use when [explicit triggers].' to clearly separate capabilities from usage guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description contains no concrete actions - it doesn't explain what the skill actually does, only vaguely references 'context management context save' without describing any capabilities. | 1 / 3 |
Completeness | The description only provides a weak 'when' clause ('Use when working with') but completely lacks the 'what' - there's no explanation of what this skill actually does or what actions it performs. | 1 / 3 |
Trigger Term Quality | Contains some relevant keywords ('context management', 'context save') but they are repetitive and lack natural variations users might say. Missing terms like 'save session', 'store context', 'remember', etc. | 2 / 3 |
Distinctiveness Conflict Risk | The term 'context management' is somewhat specific but could overlap with other context-related skills. Without concrete actions described, it's unclear what distinguishes this from other potential context or memory-related skills. | 2 / 3 |
Total | 6 / 12 Passed |
Implementation
7%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads like a product specification or marketing document rather than actionable guidance for Claude. It describes capabilities at a high level without providing executable code, concrete commands, or specific implementation details. The content is bloated with explanations of concepts Claude already understands and lacks the practical, copy-paste-ready examples needed for effective task execution.
Suggestions
Replace pseudocode with actual executable implementations - define the helper functions or use real libraries with working code
Remove conceptual explanations (what vector databases are, compression overview) and focus on specific commands/APIs Claude should use
Add concrete validation steps to workflows - what command verifies context was saved correctly? What does success look like?
Cut the 'Future Roadmap', 'Role and Purpose', and marketing language - these add no actionable value
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose with extensive explanations of concepts Claude already knows (what vector databases are, compression algorithms, JSON Schema). Contains marketing-style language ('elite context engineering specialist', 'sophisticated solution') and a 'Future Roadmap' section that adds no actionable value. | 1 / 3 |
Actionability | Code examples are pseudocode with undefined functions (extract_project_metadata, analyze_architecture, etc.) that cannot be executed. No concrete commands, actual tool invocations, or copy-paste ready implementations are provided. | 1 / 3 |
Workflow Clarity | Workflows are vague lists without validation checkpoints or error handling. Steps like 'Analyze project structure' and 'Generate semantic embeddings' provide no concrete guidance on how to perform these actions or verify success. | 1 / 3 |
Progressive Disclosure | References implementation-playbook.md for detailed examples, which is appropriate. However, the main content is a monolithic wall of text with many sections that could be split into separate reference files, and the organization mixes conceptual overview with incomplete implementation details. | 2 / 3 |
Total | 5 / 12 Passed |
Validation
90%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 | |
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Table of Contents
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