Slash Command

/prompt-optimize

Analyzes a draft prompt using 6-phase pipeline (project detection, intent/scope assessment, ECC matching), outputs optimized ECC-enriched full/quick versions with recommendations. Advisory analysis only—no execution.

developer-tools

Install

npx claudepluginhub arnwaldn/atum-plugins-collection --plugin atum-workflows

Prompt Preview

# /prompt-optimize

Analyze and optimize the following prompt for maximum ECC leverage.

## Your Task

Apply the **prompt-optimizer** skill to the user's input below. Follow the 6-phase analysis pipeline:

0. **Project Detection** — Read CLAUDE.md, detect tech stack from project files (package.json, go.mod, pyproject.toml, etc.)
1. **Intent Detection** — Classify the task type (new feature, bug fix, refactor, research, testing, review, documentation, infrastructure, design)
2. **Scope Assessment** — Evaluate complexity (TRIVIAL / LOW / MEDIUM / HIGH / EPIC), using codebase size as signal if...

Command Content

Other plugins with /prompt-optimize

/prompt-optimize

Optimizes provided prompts for Claude Code without task execution, recommending ECC components and returning a ready-to-run prompt. Legacy shim; prefer prompt-optimizer skill.

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Optimizes provided prompts for Claude Code without task execution, recommending ECC components and returning a ready-to-run prompt. Legacy shim; prefer prompt-optimizer skill.

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Optimizes input prompts for LLMs using chain-of-thought, few-shot examples, constitutional AI self-critique, and model-specific patterns for production readiness.

llm-application-dev

/prompt-optimize

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.

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/prompt-optimize

muggle-ai-teams

Stats

Parent Repo Stars0

Parent Repo Forks0

Last CommitApr 7, 2026

Used By19 plugins

Actions

View Source View Plugin View on GitHub View README

Tags

workflow-recommendation

# /prompt-optimize Analyze and optimize the following prompt for maximum ECC leverage. ## Your Task Apply the **prompt-optimizer** skill to the user's input below. Follow the 6-phase analysis pipeline: 0. **Project Detection** — Read CLAUDE.md, detect tech stack from project files (package.json, go.mod, pyproject.toml, etc.) 1. **Intent Detection** — Classify the task type (new feature, bug fix, refactor, research, testing, review, documentation, infrastructure, design) 2. **Scope Assessment** — Evaluate complexity (TRIVIAL / LOW / MEDIUM / HIGH / EPIC), using codebase size as signal if...

Your Task

Apply the prompt-optimizer skill to the user's input below. Follow the 6-phase analysis pipeline:

Project Detection — Read CLAUDE.md, detect tech stack from project files (package.json, go.mod, pyproject.toml, etc.)

Intent Detection — Classify the task type (new feature, bug fix, refactor, research, testing, review, documentation, infrastructure, design)

Scope Assessment — Evaluate complexity (TRIVIAL / LOW / MEDIUM / HIGH / EPIC), using codebase size as signal if detected

ECC Component Matching — Map to specific skills, commands, agents, and model tier

Missing Context Detection — Identify gaps. If 3+ critical items missing, ask the user to clarify before generating

Workflow & Model — Determine lifecycle position, recommend model tier, and split into multiple prompts if HIGH/EPIC

Output Requirements

Present diagnosis, recommended ECC components, and an optimized prompt using the Output Format from the prompt-optimizer skill

Provide both Full Version (detailed) and Quick Version (compact, varied by intent type)

Respond in the same language as the user's input

The optimized prompt must be complete and ready to copy-paste into a new session

End with a footer offering adjustment or a clear next step for starting a separate execution request

CRITICAL

Do NOT execute the user's task. Output ONLY the analysis and optimized prompt. If the user asks for direct execution, explain that /prompt-optimize only produces advisory output and tell them to start a normal task request instead.

Note: blueprint is a skill, not a slash command. Write "Use the blueprint skill" instead of presenting it as a /... command.

/prompt-optimize

Analyze and optimize the following prompt for maximum ECC leverage.

Your Task

Apply the prompt-optimizer skill to the user's input below. Follow the 6-phase analysis pipeline:

Project Detection — Read CLAUDE.md, detect tech stack from project files (package.json, go.mod, pyproject.toml, etc.)
Intent Detection — Classify the task type (new feature, bug fix, refactor, research, testing, review, documentation, infrastructure, design)
Scope Assessment — Evaluate complexity (TRIVIAL / LOW / MEDIUM / HIGH / EPIC), using codebase size as signal if detected
ECC Component Matching — Map to specific skills, commands, agents, and model tier
Missing Context Detection — Identify gaps. If 3+ critical items missing, ask the user to clarify before generating
Workflow & Model — Determine lifecycle position, recommend model tier, and split into multiple prompts if HIGH/EPIC

Output Requirements

Present diagnosis, recommended ECC components, and an optimized prompt using the Output Format from the prompt-optimizer skill
Provide both Full Version (detailed) and Quick Version (compact, varied by intent type)
Respond in the same language as the user's input
The optimized prompt must be complete and ready to copy-paste into a new session
End with a footer offering adjustment or a clear next step for starting a separate execution request

CRITICAL

Note: blueprint is a skill, not a slash command. Write "Use the blueprint skill" instead of presenting it as a /... command.

User Input

$ARGUMENTS