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prompt-architect

Create and enhance prompts, system instructions, and principle files. Capabilities: transform verbose prompts, add patterns/heuristics, optimize token usage, structure CLAUDE.md principles, improve agent/persona definitions, apply prompt engineering techniques (CoT, few-shot, ReAct). Actions: create, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, system prompt, CLAUDE.md, principle files, instruction optimization, agent prompt, persona prompt, token efficiency, prompt structure, workflow prompts, rules, constraints, few-shot, chain-of-thought, soul, tensions, dialectic. Use when: creating new prompts, enhancing principle files, improving system instructions, optimizing CLAUDE.md, restructuring verbose prompts, adding patterns to workflows, defining agent behaviors.

91

1.28x

Quality

88%

Does it follow best practices?

Impact

95%

1.28x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Evaluation results

88%

1%

Security Consultant Prompt Optimization

Compression without information loss

Criteria
Without context
With context

Role preserved

100%

100%

OWASP taxonomy used

0%

100%

Security principles intact

100%

100%

No fabricated deletions

100%

100%

Domain terms used for compression

90%

100%

No meta-commentary wrapper

100%

100%

Output format matches input

100%

50%

Boundaries section preserved

100%

100%

No generic replacement

100%

100%

Overall length reduced

100%

0%

Without context: $0.1613 · 36s · 9 turns · 12 in / 2,118 out tokens

With context: $0.4333 · 1m 43s · 20 turns · 105 in / 4,870 out tokens

100%

44%

Engineering Manager Code Review Agent

Agent prompt creation with soul and tensions

Criteria
Without context
With context

Soul section present

50%

100%

Domain-specific tensions

16%

100%

Tensions have personas + collision

0%

100%

Expert lens not checklist

58%

100%

Mental models or thinking approaches

80%

100%

No meta-commentary wrapper

90%

100%

Boundaries defined

62%

100%

Identity is specific

87%

100%

Thinking style is dialectic

40%

100%

Prompt output file created

100%

100%

Without context: $0.2056 · 1m 15s · 12 turns · 19 in / 3,243 out tokens

With context: $0.5990 · 2m 43s · 22 turns · 27 in / 8,615 out tokens

98%

19%

Data Analyst Assistant Prompt Overhaul

Prompt enhancement preserving format and depth

Criteria
Without context
With context

YAML format preserved

100%

100%

No meta-commentary

100%

100%

Generic language replaced

100%

100%

Sentiment examples replaced with taxonomy

0%

100%

Procedural steps transformed

91%

100%

Domain knowledge preserved

100%

100%

Role preserved

100%

100%

Thinking style or tensions added

33%

100%

No unnecessary bloat added

100%

83%

Without context: $0.1779 · 57s · 9 turns · 14 in / 2,815 out tokens

With context: $0.3959 · 2m · 16 turns · 19 in / 6,093 out tokens

Repository
majiayu000/claude-skill-registry-data
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.