prompt-craft-en

prompt-craft-en is a skill for Claude Code, Codex from breeze-r/claude-prompt-craft-skill. It costs 112 tokens per session (2,076 once invoked), scanned A, original, MIT.

A method for writing, improving, reviewing, and structuring prompts for AI assistants and coding agents.

In plain words
What is it for?
Use it to create reusable prompts for everyday tasks, code changes, deliverables, agent workflows, and system instructions.
Why use it?
It turns vague requests into instructions with a clear goal, relevant context, expected output, and limits.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

Good fit Use it to create reusable prompts for everyday tasks, code changes, deliverables, agent workflows, and system instructions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/breeze-r/claude-prompt-craft-skill/prompt-craft-en
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add breeze-r/claude-prompt-craft-skill --skill prompt-craft-en
Clone the repo
git clone --depth 1 https://github.com/breeze-r/claude-prompt-craft-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prompt-craft-en

README.md
[![agentmods](https://agentmods.dev/badge/skills/breeze-r/claude-prompt-craft-skill/prompt-craft-en/github.svg)](https://agentmods.dev/skills/breeze-r/claude-prompt-craft-skill/prompt-craft-en)
Your own site
<a href="https://agentmods.dev/skills/breeze-r/claude-prompt-craft-skill/prompt-craft-en"><img src="https://agentmods.dev/badge/skills/breeze-r/claude-prompt-craft-skill/prompt-craft-en/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prompt-craft-en

Your own site · 80×15
<a href="https://agentmods.dev/skills/breeze-r/claude-prompt-craft-skill/prompt-craft-en"><img src="https://agentmods.dev/badge/skills/breeze-r/claude-prompt-craft-skill/prompt-craft-en.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,076 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00112 $0.02076
Opus 5.5 $0.00045 $0.00830
Sonnet 5.5 $0.00022 $0.00415
Haiku 4.5 $0.00011 $0.00208

Measured 2mo ago against content hash e20d885d8d19, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

prompt-craft-en scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/prompt-craft-en/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prompt Craft — Prompt Design & Optimization

Turn the user's intent into a clear, reusable, ready-to-run prompt. The methodology is a field-tested four-element framework: Goal, Context, Output, Boundaries.

A good prompt needs no special syntax or fixed template. Add elements only when they help — not every one, every time.


Workflow

When the user asks you to write or optimize a prompt, follow these steps.

1. Identify the task type

Type Traits Template
Everyday A question, brainstorming, a draft, a comparison, a small plan Short prompt, 1–3 sentences
Deliverable Multiple sources/steps, produces a file, shown to others Full four elements + final check
Code Working on code, fixing a bug, writing tests, refactoring Behavior + repro/location + constraints + how to verify
Agent / system System prompts, automation, scheduled runs Four elements + approval boundaries + failure handling

2. Fill gaps quickly

If the user hasn't given enough to pin down a key element, ask at most one most-important question (Audience? Purpose? What must not change?). When there's basically enough, just start — write your assumptions as annotations next to the prompt instead of asking round after round.

3. Produce the prompt

  • Put the final prompt in a code block for easy copying.
  • Write the prompt in the user's target language (English for English models/contexts; otherwise the user's language).
  • Add 2–4 sentences of notes: why it's organized this way, where it can be trimmed or adjusted.
  • For complex tasks, offer two versions: a lean one and a full one.

4. When optimizing an existing prompt

Diagnose before rewriting. Check for the common ailments, in priority order:

  1. Unclear result: lots of steps, but no statement of what to produce or for whom → rewrite around the result.
  2. Context noise: irrelevant sources/background stuffed in → keep only what changes the result.
  3. Missing boundaries: doesn't say what's off-limits or what needs approval → add the 1–2 that matter most.
  4. Over-control: every step nailed down, no room to adjust → delete procedural instructions, keep the constraints.
  5. No verification: an important task with no final check → add a closing self-check.

Read the full file on GitHub · 190 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 190 lines · 112 tokens per session scan A e20d885d8d19

Subscribe to this mod's changes

prompt-craft-en is a skill published in the GitHub repository breeze-r/claude-prompt-craft-skill (11 stars, last pushed 3mo ago), licensed MIT. It adds 112 tokens to every session and 2,076 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

prompt-craft-en compared with skills from other repositories

prompt-craft-en next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
prompt-craft-enbreeze-r/claude-prompt-craft-skillSkill113mo agoMITA112Claude Code, Codex
llm-app-patternsdavila7/claude-code-templatesSkill33kyesterdayMITA54Claude Code, Codex
prompt-engineerJeffallan/claude-skillsSkill12k7d agoMITA93Claude Code
prompt-optimizationlangwatch/langwatchSkill5.0kyesterdayApache-2.0A105Claude Code, Codex
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prompt-library-for-startupsaws/agent-toolkit-for-awsSkill3.4kyesterdayApache-2.0A228Claude Code