Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
Guidelines to writing prompts, docs, or tasks for AI to read or execute, with strict context isolation.
Install Prompt Engineering
$ npx skills add niki914/zafiro --skill prompt-engineering -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install niki914/zafiro prompt-engineering --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/niki914/zafiro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/prompt-engineering .claude/skills/prompt-engineering && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prompt-engineering" agent skill from https://github.com/niki914/zafiro/tree/main/.agents/skills/prompt-engineering into .claude/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/niki914/zafiro/tree/main/.agents/skills/prompt-engineeringType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add niki914/zafiro --skill prompt-engineering -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install niki914/zafiro prompt-engineering --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/niki914/zafiro.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/prompt-engineering .agents/skills/prompt-engineering && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/niki914/zafiro/tree/main/.agents/skills/prompt-engineering into .agents/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add niki914/zafiro --skill prompt-engineering -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install niki914/zafiro prompt-engineering --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/niki914/zafiro.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/prompt-engineering .cursor/skills/prompt-engineering && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prompt-engineering" agent skill from https://github.com/niki914/zafiro/tree/main/.agents/skills/prompt-engineering into .cursor/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/niki914/zafiro.git --path .agents/skills/prompt-engineering--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add niki914/zafiro --skill prompt-engineering -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install niki914/zafiro prompt-engineering --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/niki914/zafiro.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/prompt-engineering .gemini/skills/prompt-engineering && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/niki914/zafiro/tree/main/.agents/skills/prompt-engineering into .gemini/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install niki914/zafiro prompt-engineeringInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add niki914/zafiro --skill prompt-engineering -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/niki914/zafiro.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/prompt-engineering .github/skills/prompt-engineering && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/niki914/zafiro/tree/main/.agents/skills/prompt-engineering into .github/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add niki914/zafiro --skill prompt-engineering -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install niki914/zafiro prompt-engineering --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/niki914/zafiro.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/prompt-engineering .opencode/skills/prompt-engineering && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prompt-engineering" agent skill from https://github.com/niki914/zafiro/tree/main/.agents/skills/prompt-engineering into .opencode/skills/prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineering", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prompt-engineering- GitHub stars
- 231
- Token cost
- ~666 tokens
- SKILL.md length
- 267 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Guidelines to writing prompts, docs, or tasks for AI to read or execute, with strict context isolation.
- Tasks that involve Prompt engineering
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prompt Engineering is an agent skill from niki914/zafiro. Guidelines to writing prompts, docs, or tasks for AI to read or execute, with strict context isolation.
Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: Open-source BYOK AI agent for Android. Full phone control, native Shell & Python 3, with Skills and MCP support. Built with Material 3 Expressive. Works via Shizuku (root… The licence is MIT.
When your agent uses it
- Tasks that involve Prompt engineering
Example prompts
- “Use the prompt-engineering skill to guideline to writing prompts, docs, or tasks for AI to read or execute, with strict context isolation”
- “/prompt-engineering”
What it can do on your machine
Read from SKILL.md and the folder at commit d50b2ab. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are diff).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prompt Engineering loads about 666 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 267 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from niki914/zafiro at commit d50b2ab, republished under its MIT licence (© niki914). 267 words, ~666 tokens.
Download SKILL.mdSave it as
.claude/skills/prompt-engineering/SKILL.md (or your agent's skills folder).- name
- prompt-engineering
- description
- Guidelines to writing prompts, docs, or tasks for AI to read or execute, with strict context isolation.
- trigger
- write a prompt|improve wiki|update documentation|dispatching agents|
prompt-engineer
Translate user commands into precise prompts or documentation edits. Eliminate context pollution ruthlessly.
<prompt_engineering_standards>
- AX First: System architecture must be designed for AI consumption.
- Clear Delimiters: Use explicit XML tags to isolate context, delimit instructions, and prevent injection. Skip XML wrappers when the content already has its own unambiguous boundary (e.g., a markdown heading, a code fence) — adding XML on top adds ceremony without improving isolation.
- CoT & Verification: Perform internal step-by-step reasoning before outputting. Implement reverse-verification (e.g., "What specific error occurs if this info is missing?").
- Mandatory Pre-flight Checklist: BEFORE outputting a file diff, executing a tool, or delegating a task, internally verify: 1. Is the payload/memory written strictly in English? 2. Are credentials (Token/PAT) completely scrubbed? Halt execution if validation fails.
- Few-shot Examples: Provide 3-5 examples including Negative Examples to establish clear boundaries.
- Zero Silent Drops: Log drops/errors explicitly. No backpressure blackholes.
- Semantic Precision: Eliminate abstract adjectives; use executable metrics. </prompt_engineering_standards>
<stateless_document_modification> To prevent "version baggage" and "context pollution" when modifying documentation:
- Treat every update as a clean-slate rebuild. Replace old facts with new facts directly. Never explain history, deltas, or reasoning in the text.
- Delete obsolete content entirely — no ghost context, no "(Updated)" labels. No version tags or timestamps in headers unless explicitly requested.
Examples
Bad (meta-tagging noise):
- # Auth Module
+ # Auth Module (v2 Updated)Good: no title change needed.
Bad (conversational baggage):
- Auth validates tokens.
+ Auth validates tokens and sessions. (Note: it no longer only validates tokens.)Good:
- Auth validates tokens.
+ Auth validates tokens and sessions.</stateless_document_modification>
<agent_dispatch_rules>
- Task content for subagents MUST be in English and strictly adhere to
<prompt_engineering_standards>. Preserve native hardcoded strings from the source code. - Output in the same language the user used in the request.
- Always pass explicit contextual constraints. Never override user requirements with generic implementations. </agent_dispatch_rules>
© niki914, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/prompt-engineering of niki914/zafiro.
Open the folder on GitHubat commit d50b2ab
Compare with similar skills
Prompt Engineering next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prompt Engineering this skillniki914/zafiro | 231 | — | ~666 | Automated safety check: Pass | MIT | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Prompt Engineering Patternsynulihao/AgentSkillOS | 617 | 14 repos | ~1.7k | Automated safety check: Pass | None | |
| Patch CreationPiebald-AI/tweakcc | 2.5k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 3 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| Codex Fable5baskduf/FableCodex | 437 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 |
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Senior Prompt Engineer
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Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
Codex Fable5
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Apply a Claude Fable 5 inspired operating style inside Codex.
Prompt Engineering Patterns
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Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
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Questions about Prompt Engineering
What does Prompt Engineering do?
Guidelines to writing prompts, docs, or tasks for AI to read or execute, with strict context isolation. Prompt Engineering is an agent skill from niki914/zafiro. Guidelines to writing prompts, docs, or tasks for AI to read or execute, with strict context isolation.
When should I use Prompt Engineering?
Prompt Engineering fits situations like: tasks that involve Prompt engineering.
How do I install Prompt Engineering in Claude Code?
Run `npx skills add niki914/zafiro --skill prompt-engineering -a claude-code`. Or copy the skill folder (.agents/skills/prompt-engineering in niki914/zafiro) into .claude/skills/prompt-engineering in your project. Claude Code loads it when a task matches its description.
How do I install Prompt Engineering in Codex?
Run `npx skills add niki914/zafiro --skill prompt-engineering -a codex`. Or copy the skill folder (.agents/skills/prompt-engineering in niki914/zafiro) into .agents/skills/prompt-engineering in your project. Codex loads it when a task matches its description.
Can I use Prompt Engineering in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add niki914/zafiro --skill prompt-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-engineering, .gemini/skills/prompt-engineering, .github/skills/prompt-engineering and .opencode/skills/prompt-engineering in your project.
What does Prompt Engineering need to run?
SKILL.md names no scripts, command-line tools or credentials: Prompt Engineering is instructions for the agent only.
Does Prompt Engineering access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Prompt Engineering safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prompt Engineering use?
Prompt Engineering is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prompt Engineering use?
About 666 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prompt Engineering?
Skills that share tags, products or a category with Prompt Engineering: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prompt Engineering?
niki914 (a GitHub user) maintains it in niki914/zafiro, which has 231 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 8, 2026.
Source: niki914/zafiro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.