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context-manager

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.

37

1.00x
Quality

3%

Does it follow best practices?

Impact

99%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/context-manager/SKILL.md

The canonical home for this skill is context-manager in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

7%Scale 1-3

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

This skill is essentially a persona/role description rather than an actionable skill file. It consists almost entirely of abstract capability lists, behavioral traits, and knowledge domains that provide no concrete guidance for performing any specific task. The content would need to be fundamentally restructured to provide executable code examples, specific tool configurations, concrete workflows with validation steps, and dramatically reduced verbosity.

Suggestions

Replace the extensive capability/trait/knowledge lists with 2-3 concrete, executable workflows (e.g., a specific RAG implementation with code, a vector database setup with commands, a context window optimization technique with examples).

Add concrete code examples for key tasks like vector database queries, document chunking, or context assembly - currently there is zero executable code in the entire skill.

Define specific validation checkpoints in workflows, such as 'verify retrieval relevance score > 0.8' or 'test context window token count before submission'.

Move the taxonomic capability lists to a reference file and keep SKILL.md focused on actionable quick-start guidance with clear pointers to detailed resources.

DimensionReasoningScore

Conciseness

Extremely verbose with extensive lists of capabilities, behavioral traits, and knowledge areas that Claude already knows. The content reads like a persona description/resume rather than actionable instructions. Most of the 150+ lines are taxonomic bullet lists that add no operational value.

1 / 3

Actionability

No concrete code, commands, specific examples, or executable guidance anywhere. The entire skill is abstract descriptions ('Dynamic context assembly and intelligent information retrieval') and vague instructions ('Apply relevant best practices and validate outcomes'). The 'Response Approach' section is generic steps without any specifics.

1 / 3

Workflow Clarity

The 10-step 'Response Approach' is entirely abstract ('Analyze context requirements', 'Design context architecture') with no concrete validation checkpoints, specific tools, or error recovery steps. No actual workflow is defined for any of the many tasks this skill claims to cover.

1 / 3

Progressive Disclosure

There is one reference to an external file ('resources/implementation-playbook.md') which is good, but the main content is a monolithic wall of bullet-point lists that should either be drastically condensed or split into separate reference files. The structure uses headers but they organize taxonomic lists rather than actionable content.

2 / 3

Total

5

/

12

Passed

Description

0%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.

This description reads like a resume headline rather than a functional skill description. It is packed with buzzwords ('elite', 'mastering', 'intelligent') but lacks any concrete actions, explicit trigger conditions, or clear scope boundaries. It would be nearly impossible for Claude to reliably select this skill over others in a multi-skill environment.

Suggestions

Replace buzzwords with concrete actions: e.g., 'Builds and queries vector databases, constructs knowledge graphs, manages context windows for RAG pipelines' instead of 'mastering dynamic context management'.

Add an explicit 'Use when...' clause with natural trigger terms: e.g., 'Use when the user asks about embedding storage, retrieval-augmented generation, context window optimization, or building a knowledge base.'

Narrow the scope to a distinct niche or split into multiple skills—covering vector databases, knowledge graphs, and memory systems in one skill creates high conflict risk with other tools.

DimensionReasoningScore

Specificity

The description uses vague, buzzword-heavy language like 'elite AI context engineering specialist' and 'intelligent memory systems' without listing any concrete actions Claude would perform. No specific operations like 'build', 'query', 'index', or 'retrieve' are mentioned.

1 / 3

Completeness

The description fails to clearly answer 'what does this do' in actionable terms and completely lacks any 'when should Claude use it' guidance. There is no 'Use when...' clause or equivalent trigger guidance.

1 / 3

Trigger Term Quality

The terms used are technical jargon ('dynamic context management', 'vector databases', 'knowledge graphs') that users are unlikely to naturally say when requesting help. There are no natural user-facing trigger terms like 'search embeddings', 'store context', or 'build a RAG pipeline'.

1 / 3

Distinctiveness Conflict Risk

The description is extremely broad, covering multiple distinct domains (vector databases, knowledge graphs, memory systems, context management) that could each be separate skills. It would conflict with any skill related to databases, AI, memory, or knowledge management.

1 / 3

Total

4

/

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.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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