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promptify

Transform user requests into detailed, precise prompts for AI models. Use when users say 'promptify', 'promptify this', or explicitly request prompt engineering or improvement of their request for better AI responses.

Install with Tessl CLI

npx tessl i github:ravnhq/ai-toolkit --skill promptify
What are skills?

89

1.58x

Quality

87%

Does it follow best practices?

Impact

89%

1.58x

Average score across 3 eval scenarios

SKILL.md
Review
Evals

Quality

Discovery

89%

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 is a well-structured description with explicit 'Use when' guidance and distinctive trigger terms. The main weakness is the lack of specific concrete actions beyond the general 'transform into detailed, precise prompts' - it could benefit from listing specific prompt engineering techniques or outputs.

Suggestions

Add 2-3 specific concrete actions to improve specificity, such as 'adds context and constraints', 'structures with examples', or 'optimizes for clarity and completeness'

DimensionReasoningScore

Specificity

The description names the domain (prompt engineering) and a general action ('Transform user requests into detailed, precise prompts'), but lacks specific concrete actions like 'add context', 'structure with examples', 'clarify ambiguities', or 'optimize for specific models'.

2 / 3

Completeness

Clearly answers both what ('Transform user requests into detailed, precise prompts for AI models') and when ('Use when users say promptify, promptify this, or explicitly request prompt engineering or improvement').

3 / 3

Trigger Term Quality

Includes natural trigger terms users would say: 'promptify', 'promptify this', 'prompt engineering', 'improvement of their request', and 'better AI responses'. These cover both the custom command and natural language variations.

3 / 3

Distinctiveness Conflict Risk

The unique trigger term 'promptify' and the specific focus on prompt engineering for AI models creates a clear niche that is unlikely to conflict with other skills like general writing or editing skills.

3 / 3

Total

11

/

12

Passed

Implementation

85%

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

This is a well-structured skill with clear workflow steps and actionable guidance. The four-block pattern reference and concrete examples strengthen usability. Minor verbosity in troubleshooting and writing guidelines sections could be trimmed, but overall the skill effectively teaches prompt transformation without over-explaining concepts Claude already knows.

Suggestions

Remove or significantly condense the Troubleshooting section - these are generic debugging patterns Claude already understands

Consolidate Writing Guidelines into a more compact checklist format to reduce token usage

DimensionReasoningScore

Conciseness

The skill is reasonably efficient but includes some unnecessary sections like the troubleshooting block which explains generic debugging concepts Claude already understands. The writing guidelines section could be more condensed.

2 / 3

Actionability

Provides concrete, executable guidance with a clear 5-step workflow, specific structural patterns (four-block pattern), explicit formatting rules, and concrete examples of trigger vs non-trigger scenarios.

3 / 3

Workflow Clarity

The workflow is clearly sequenced (Analyze → Structure → Refine → Output → Deliver) with explicit steps and decision points. The Deliver step offers clear branching options with specific actions for each path.

3 / 3

Progressive Disclosure

Appropriately references external file `rules/structure-four-block-pattern.md` for detailed pattern guidance while keeping the main skill focused. Content is well-organized with clear section headers and logical grouping.

3 / 3

Total

11

/

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

metadata_field

'metadata' should map string keys to string values

Warning

Total

10

/

11

Passed

Reviewed

Table of Contents

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