engineer-prompts-for-instant

Guide to writing stable prompts for instant/fast models (Gemini Flash, GPT-4o Mini, Haiku). Use when the user is writing or tuning prompts for a fast or cheap model.

Quality

72%

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Quality

Content

75%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 is highly actionable, anchored by a copy-paste template and a worked example, with a clear sequenced structure and clean self-contained organization. Its main weakness is conciseness, due to an introductory analogy and some padded prose.

Suggestions

Cut the 'fast learners who prefer copying a pattern over reading a textbook' analogy and trim the opening paragraph to a single sentence stating the goal.

Replace motivational phrasing like 'designed to be copy-paste friendly' with a direct note ('Copy this template for most tasks').

Dimension	Reasoning	Score
Conciseness	Mostly actionable but includes some unnecessary prose, such as the 'fast learners who prefer copying a pattern' analogy and a padded intro that could be tightened without losing clarity.	3 / 5
Actionability	Provides a copy-paste-ready 4-part template and a fully worked extraction example with concrete input/output pairs, plus a specific troubleshooting table covering common cases.	5 / 5
Workflow Clarity	Numbered sections (golden rule -> formula -> techniques -> troubleshooting -> example) give a clear sequenced structure with a formula-style checklist, though it is an instructional guide rather than a workflow needing validation checkpoints.	4 / 5
Progressive Disclosure	Self-contained single file with clear section headers and no broken or nested references (no bundle files exist); minor gaps only because the troubleshooting and example sections could in principle be split out.	4 / 5
	Total	16 / 20 Passed

Description

70%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 cleanly states what the skill does and when to use it with concrete model-name triggers, giving it solid completeness and distinctiveness. Its weakness is specificity, since it describes a single generic action rather than enumerating multiple concrete capabilities.

Suggestions

Expand the 'what' to list concrete actions (e.g., draft, tune, debug, and add few-shot examples to prompts for fast models) rather than the single verb 'writing'.

Tighten the 'when' clause with more specific triggers, e.g. 'Use when the user is drafting or debugging prompts for Gemini Flash, GPT-4o Mini, or Haiku, or wants to cut prompt cost/latency.'

Dimension	Reasoning	Score
Specificity	Names the domain (writing stable prompts for fast models) but offers only one generic action rather than multiple concrete actions, so it lands at 'domain + 1-2 actions, not comprehensive'.	3 / 5
Completeness	Explicitly answers both 'what' (guide to writing stable prompts) and 'when' (a present 'Use when...' clause), but the 'when' could be more specific about task contexts.	4 / 5
Trigger Term Quality	Includes natural phrases users would say ('writing or tuning prompts', 'fast or cheap model') plus concrete model names as synonyms; a few natural variations are missing.	4 / 5
Distinctiveness Conflict Risk	Scoped to a clear niche (instant/fast models with named examples), making it mostly distinct from generic prompt-engineering skills with only minor overlap risk.	4 / 5
	Total	15 / 20 Passed

Validation

100%

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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

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Repository: korchasa/flowai-plugins
Path: plugins/flowai-engineering/skills/engineer-prompts-for-instant/SKILL.md
Commit: b4ba256

Reviewed: ~22 hours ago

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