context-fundamentals

tessl i github:muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

56%

Overall

Validation — 88%

Implementation — 35%

Activation — 65%

SKILL.md

Review

Evals

Validation

88%

Warnings & errors only

Criteria	Description	Result
metadata_version	'metadata' field is not a dictionary	Warning
license_field	'license' field is missing	Warning

	Total	14 / 16 Passed

Implementation

35%

This skill reads more like an educational article or textbook chapter than an actionable skill file. It extensively explains concepts Claude already understands (attention mechanisms, transformer architecture, what context windows are) while providing relatively little concrete, executable guidance. The content would benefit from dramatic reduction in explanatory text and addition of specific, actionable workflows with validation steps.

Suggestions

Remove explanations of concepts Claude already knows (attention mechanisms, position encoding, transformer architecture) and focus only on project-specific conventions or non-obvious guidance

Convert the conceptual 'Detailed Topics' section into a separate reference file and keep only actionable quick-start content in the main skill

Add concrete validation steps and feedback loops, such as 'Check context usage with X command, if above Y% trigger compaction'

Replace illustrative examples with executable code snippets that can be directly used in real agent implementations

Dimension	Reasoning	Score
Conciseness	Extremely verbose with extensive explanations of concepts Claude already knows (attention mechanisms, transformer architecture, what system prompts are). Contains significant padding like 'Understanding context fundamentals is prerequisite to effective context engineering' and lengthy theoretical explanations that don't add actionable value.	1 / 3
Actionability	Provides some concrete examples (system prompt organization, progressive loading pattern) but most content is conceptual explanation rather than executable guidance. The examples are illustrative rather than copy-paste ready for actual implementation.	2 / 3
Workflow Clarity	Guidelines section provides a numbered list but lacks explicit validation checkpoints or feedback loops. No clear sequence for implementing context engineering practices, just conceptual descriptions of what to do without verification steps.	2 / 3
Progressive Disclosure	References external files and related skills appropriately, but the main content is a monolithic wall of text with extensive inline content that could be split into separate reference documents. The 'Detailed Topics' section alone is hundreds of lines that could be separate files.	2 / 3
	Total	7 / 12 Passed

Activation

65%

The description has strong trigger term coverage with explicit 'Use when' guidance, but suffers from vague capability description. It tells Claude when to use the skill but not what concrete actions it performs beyond 'provides foundational understanding'. The structure is inverted - triggers come first, capabilities last - which reduces clarity.

Suggestions

Replace 'Provides foundational understanding' with specific actions like 'Explains context window mechanics, designs context allocation strategies, diagnoses context overflow issues, creates context budgets for agent systems'

Restructure to lead with capabilities (what it does) followed by the trigger guidance (when to use it) for better readability

Dimension	Reasoning	Score
Specificity	Names the domain (context engineering for AI agents) and mentions some concepts like 'attention mechanics', 'progressive disclosure', 'context budgeting', but doesn't list concrete actions - only says 'Provides foundational understanding' which is vague about what it actually does.	2 / 3
Completeness	Has explicit 'Use when' triggers which is good, but the 'what' portion is weak - 'Provides foundational understanding' doesn't clearly explain what concrete outputs or actions the skill performs.	2 / 3
Trigger Term Quality	Includes good coverage of natural terms users would say: 'understand context', 'explain context windows', 'design agent architecture', 'debug context issues', 'optimize context usage', plus technical terms like 'attention mechanics' and 'context budgeting'.	3 / 3
Distinctiveness Conflict Risk	The focus on 'context engineering' and 'context windows' is fairly specific, but terms like 'agent architecture' and 'debug' could overlap with general coding or architecture skills. The niche is identifiable but not sharply defined.	2 / 3
	Total	9 / 12 Passed

Reviewed

16 days ago

Table of Contents

Validation Implementation Activation

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