Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization
Install Prompt Engineer
$ npx skills add RightNow-AI/openfang --skill prompt-engineer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RightNow-AI/openfang prompt-engineer --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/RightNow-AI/openfang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/openfang-skills/bundled/prompt-engineer .claude/skills/prompt-engineer && 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-engineer" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/prompt-engineer into .claude/skills/prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineer", 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/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/prompt-engineerType 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 RightNow-AI/openfang --skill prompt-engineer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RightNow-AI/openfang prompt-engineer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .agents/skills && cp -r skills-src/crates/openfang-skills/bundled/prompt-engineer .agents/skills/prompt-engineer && 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-engineer" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/prompt-engineer into .agents/skills/prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineer", 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 RightNow-AI/openfang --skill prompt-engineer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RightNow-AI/openfang prompt-engineer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/crates/openfang-skills/bundled/prompt-engineer .cursor/skills/prompt-engineer && 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-engineer" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/prompt-engineer into .cursor/skills/prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineer", 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/RightNow-AI/openfang.git --path crates/openfang-skills/bundled/prompt-engineer--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 RightNow-AI/openfang --skill prompt-engineer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RightNow-AI/openfang prompt-engineer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/crates/openfang-skills/bundled/prompt-engineer .gemini/skills/prompt-engineer && 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-engineer" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/prompt-engineer into .gemini/skills/prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineer", 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 RightNow-AI/openfang prompt-engineerInstalls 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 RightNow-AI/openfang --skill prompt-engineer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .github/skills && cp -r skills-src/crates/openfang-skills/bundled/prompt-engineer .github/skills/prompt-engineer && 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-engineer" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/prompt-engineer into .github/skills/prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineer", 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 RightNow-AI/openfang --skill prompt-engineer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RightNow-AI/openfang prompt-engineer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RightNow-AI/openfang.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/crates/openfang-skills/bundled/prompt-engineer .opencode/skills/prompt-engineer && 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-engineer" agent skill from https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/prompt-engineer into .opencode/skills/prompt-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-engineer", 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-engineer- GitHub stars
- 18k
- Token cost
- ~829 tokens
- SKILL.md length
- 434 words
- Files
- 1
- Skills in repo
- 68
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization
- Tasks that involve Prompt engineering
- SKILL.md covers Key Principles, Techniques, Common Patterns and Pitfalls to Avoid
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Prompt Engineer is an agent skill from RightNow-AI/openfang. Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization
Its SKILL.md is about 830 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 Agent Operating System. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Prompt engineering
Example prompts
- “/prompt-engineer”
What it can do on your machine
Read from SKILL.md and the folder at commit acf2587. 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.
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 Engineer loads about 829 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 434 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 RightNow-AI/openfang at commit acf2587, republished under its Apache-2.0 licence (© RightNow-AI). 434 words, ~829 tokens.
Download SKILL.mdSave it as
.claude/skills/prompt-engineer/SKILL.md (or your agent's skills folder).- name
- prompt-engineer
- description
- Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization
Prompt Engineering Expertise
You are a prompt engineering specialist with deep knowledge of large language model behavior, prompting strategies, structured output generation, and evaluation methodologies. You design prompts that are reliable, reproducible, and cost-efficient. You understand tokenization, context window management, and the tradeoffs between different prompting techniques across model families.
Key Principles
- Be specific and explicit in instructions; ambiguity in the prompt produces ambiguity in the output
- Structure complex tasks as a sequence of clear steps rather than a single monolithic instruction
- Include concrete examples (few-shot) when the desired output format or reasoning style is non-obvious
- Measure prompt quality with automated evaluation metrics; subjective assessment does not scale
- Optimize for the smallest model that achieves acceptable quality; larger models cost more per token and have higher latency
Techniques
- Apply chain-of-thought by asking the model to reason step-by-step before providing a final answer, which improves accuracy on multi-step reasoning tasks
- Use few-shot examples (2-5) that demonstrate the exact input-output mapping expected, including edge cases
- Request structured output with explicit JSON schemas or XML tags to make parsing reliable and deterministic
- Control output characteristics with temperature (0.0-0.3 for factual, 0.7-1.0 for creative) and top_p settings
- Use delimiters (triple quotes, XML tags, markdown headers) to clearly separate instructions from input data within the prompt
- Apply retrieval-augmented generation (RAG) by prepending relevant context documents before the question to ground responses in specific knowledge
Show full SKILL.md (205 more words)Show less
Common Patterns
- Role-Task-Format: Structure prompts as: (1) define the role and expertise level, (2) describe the specific task, (3) specify the desired output format with examples
- Self-Consistency: Generate multiple responses at higher temperature, then select the majority answer or ask the model to synthesize the best answer from its own outputs
- Decomposition: Break complex tasks into subtasks with separate prompts, passing intermediate results forward; this reduces errors and makes debugging straightforward
- Evaluation Rubric: Define explicit scoring criteria (accuracy, completeness, relevance, format compliance) and use a separate LLM call to grade outputs against the rubric
Pitfalls to Avoid
- Do not assume a prompt that works on one model will work identically on another; test across target models and adjust for each model's strengths and instruction-following behavior
- Do not pack the entire context window with text; leave room for the model's output and be aware that attention degrades on very long inputs
- Do not rely on negative instructions alone (e.g., "do not mention X"); models attend to mentioned concepts even when told to avoid them; restructure the prompt to focus on what you want
- Do not use prompt engineering as a substitute for fine-tuning when you have consistent, high-volume, domain-specific requirements; fine-tuning is more cost-effective at scale
© RightNow-AI, Apache-2.0. 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 crates/openfang-skills/bundled/prompt-engineer of RightNow-AI/openfang.
Open the folder on GitHubat commit acf2587
Compare with similar skills
Prompt Engineer 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 Engineer this skillRightNow-AI/openfang | 18k | — | ~829 | Automated safety check: Pass | Apache-2.0 | |
| 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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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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Categories
Questions about Prompt Engineer
What does Prompt Engineer do?
Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization. Prompt Engineer is an agent skill from RightNow-AI/openfang.
When should I use Prompt Engineer?
Prompt Engineer fits situations like: tasks that involve Prompt engineering.
How do I install Prompt Engineer in Claude Code?
Run `npx skills add RightNow-AI/openfang --skill prompt-engineer -a claude-code`. Or copy the skill folder (crates/openfang-skills/bundled/prompt-engineer in RightNow-AI/openfang) into .claude/skills/prompt-engineer in your project. Claude Code loads it when a task matches its description.
How do I install Prompt Engineer in Codex?
Run `npx skills add RightNow-AI/openfang --skill prompt-engineer -a codex`. Or copy the skill folder (crates/openfang-skills/bundled/prompt-engineer in RightNow-AI/openfang) into .agents/skills/prompt-engineer in your project. Codex loads it when a task matches its description.
Can I use Prompt Engineer 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 RightNow-AI/openfang --skill prompt-engineer -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-engineer, .gemini/skills/prompt-engineer, .github/skills/prompt-engineer and .opencode/skills/prompt-engineer in your project.
What does Prompt Engineer need to run?
SKILL.md names no scripts, command-line tools or credentials: Prompt Engineer is instructions for the agent only.
Does Prompt Engineer 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 Engineer 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 Engineer use?
Prompt Engineer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prompt Engineer use?
About 829 tokens (SKILL.md is roughly 3.3k 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 Engineer?
Skills that share tags, products or a category with Prompt Engineer: 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 Engineer?
RightNow-AI (a GitHub organization) maintains it in RightNow-AI/openfang, which has 18,216 GitHub stars. The repository holds 68 skills in this directory. The repository was last updated on July 2, 2026.
Source: RightNow-AI/openfang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.