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prompt-engineer

Projeta e avalia prompts reutilizaveis e suas saidas. Trigger em: "prompt engineer", "prompt engineering", "melhorar prompt", "otimizar prompt", "template de prompt", "system prompt", "few-shot", "chain of thought", "reduzir custo de prompt", "iterar prompt", "prompt reutilizavel".

Quality

81%

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SKILL.md
Quality
Evals
Security

Quality

Content

73%Weight 40%Scale 1-5

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

The body presents a clear, well-sequenced 3-layer prompt construction workflow with explicit validation checkpoints and strong token efficiency. Its weaknesses are incomplete in-bundle actionability — the definitive template lives in an absent external file with no inline example — and references that cannot be verified against the bundle.

Suggestions

Inline a minimal worked example of a Camada A prompt (or a skeleton of the 3-layer template) so the skill is actionable even when `templates/agent-spec.md` is unavailable.

Tighten the "Checkpoint por camada" paragraph to the procedural rule, dropping the justification clause about masking instability.

Clarify where the referenced files (policies, templates, patterns) live relative to the skill, and ensure the bundle actually ships the mandatory `patterns/ai-integration/prompt-patterns.md` base file.

DimensionReasoningScore

Conciseness

The body is lean and list-driven with no explanations of concepts Claude already knows, but the "Checkpoint por camada" paragraph carries justifying prose ("camada B empilhada sobre camada A instável só mascara o problema, não resolve") that could be trimmed to the rule itself, matching the efficient-with-minor-trimmable-instances anchor.

4 / 5

Actionability

Layer contents are concrete ("job em uma frase, campos de input, campos de output", "multi-shot examples (1-3 pares input→output)") and the checkpoint specifies running 3-5 real inputs, but no example prompt is shown inline and the complete template is deferred to `templates/agent-spec.md`, a file not present in the bundle, leaving key details unverifiable.

3 / 5

Workflow Clarity

The 3-layer build is an explicit, ordered sequence with per-layer validation gates ("Testar aqui antes de avançar") and a concrete feedback loop (run 3-5 inputs, fix in the current layer, re-run, only advance when all pass), matching the top anchor for sequence plus validation plus error recovery.

5 / 5

Progressive Disclosure

Sections are well-organized, the body stays at overview level, and details are split out with clear signals ("Ver `templates/agent-spec.md` para o template completo"), but none of the referenced files (policies, templates, patterns) exist in the bundle, leaving minor organization/resolvability gaps.

4 / 5

Total

16

/

20

Passed

Description

78%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description pairs a concise third-person capability statement with an explicit, well-chosen trigger list, giving it strong completeness and good trigger coverage. Its main weaknesses are the terse two-verb capability statement and a couple of over-broad trigger terms that create mild conflict risk.

Suggestions

Expand the capability sentence to enumerate the main actions (e.g., design, evaluate, and standardize reusable prompt templates for text, image, and video) so specificity reaches several concrete actions.

Add missing natural trigger phrases such as "criar prompt", "escrever prompt", or "prompt de sistema" to close the keyword-coverage gap.

Consider narrowing or contextualizing overly generic triggers like "few-shot" and "chain of thought" to reduce overlap with general LLM-discussion skills.

DimensionReasoningScore

Specificity

"Projeta e avalia prompts reutilizaveis e suas saidas" names the domain and exactly two concrete actions (design, evaluate), matching the 1-2-actions anchor; it does not list several specific actions such as standardizing templates or tuning cost, so it is not a 4.

3 / 5

Completeness

It clearly answers both questions: the "what" is stated as designing and evaluating reusable prompts and their outputs, and the "when" is an explicit "Trigger em:" clause with eleven concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

The trigger list is broad and natural ("melhorar prompt", "otimizar prompt", "iterar prompt", "template de prompt", "system prompt", "few-shot"), covering synonyms for the core intents, but misses common phrasings a user would naturally say such as "criar prompt" or "escrever prompt", keeping it below comprehensive coverage.

4 / 5

Distinctiveness Conflict Risk

The prompt-design niche is mostly distinct with dedicated triggers ("prompt engineering", "template de prompt"), but broad terms like "few-shot" and "chain of thought" could also fire for general LLM-discussion or reasoning skills, so minor overlap risk remains.

4 / 5

Total

16

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

felvieira/claude-skills-fv

Path

skills/26-prompt-engineer/SKILL.md

Reviewed

Table of Contents

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