Agent skill

Prompt Engineer

by bastani-inc in bastani-inc/atomic

Write, evaluate, migrate, or troubleshoot prompts for GPT and Claude models.

Custom licenceAuto-check passedAI & LLM Engineering

Install Prompt Engineer

skills CLI
$ npx skills add bastani-inc/atomic --skill prompt-engineer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bastani-inc/atomic prompt-engineer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bastani-inc/atomic.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/workflows/skills/prompt-engineer .claude/skills/prompt-engineer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
prompt-engineer
GitHub stars
850
Token cost
~1.4k tokens
SKILL.md length
658 words
Files
16 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
Custom licence

At a glance

Write, evaluate, migrate, or troubleshoot prompts for GPT and Claude models.

  • Works in 6 steps: Establish the outcome, audience, model,… → Read the needed shared reference and the… → Remove obsolete or redundant guidance… → …
  • Tasks that involve Prompt engineering
  • SKILL.md covers Workflow, Shared references, Model guides and Common rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Engineer is an agent skill from bastani-inc/atomic. Write, evaluate, migrate, or troubleshoot prompts for GPT and Claude models.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `references/advanced_patterns.md`, `references/claude_fable_5.md` and `references/claude_fable_5_1.md`).

It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: The verifiable coding agent runtime. Define your coding agent's process in natural language with stages, checks, and approval gates instead of hoping it follows your…

When your agent uses it

  • Tasks that involve Prompt engineering

Example prompts

  • “/prompt-engineer”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Establish the outcome, audience, model, authorization, output, and representative failures. Ask only for missing information that…
  2. Read the needed shared reference and the target model's page below. Resolve paths from this skill directory.
  3. Remove obsolete or redundant guidance before adding text. Preserve binding requirements.
  4. For complex prompts, use Role · Goal · Success criteria · Constraints · Tools · Output · Stop rules; omit sections that do not change…
  5. Change one prompt or configuration variable at a time and compare representative cases. Measure task success, output validity, tool…
  6. Deliver the revised prompt, a brief change summary, and validation evidence or a plan. Label checks that were not run.

What it can do on your machine

Read from SKILL.md and the folder at commit ad79904. 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 1.4k tokens when it runs, and up to ~32k if it reads all its reference files. Until then it costs about 23 tokens; SKILL.md has 658 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~32k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 658 words (~1,370 tokens).

“Create or revise prompts for the user's target model. Keep the common prompt portable and load only the relevant model guide. Each page connects an observed behavior to a prompt adjustment, prompt wording, and caveats. Use the matching patterns rather…”

— opening of SKILL.md by bastani-inc, Custom licence
name
prompt-engineer

Read the full SKILL.md on GitHub

Files

SKILL.md and 15 other files (references) in packages/workflows/skills/prompt-engineer of bastani-inc/atomic.

  • SKILL.md
  • references/advanced_patterns.md
  • references/claude_fable_5.md
  • references/claude_fable_5_1.md
  • references/claude_haiku_5_5.md
  • references/claude_opus_4_8.md
  • references/claude_opus_5.md
  • references/claude_opus_5_5.md
  • references/claude_sonnet_5.md
  • references/claude_sonnet_5_5.md
  • references/core_prompting.md
  • references/gpt_5_5.md
  • references/gpt_5_6.md
  • references/gpt_6.md
  • references/gpt_6_1_sol.md
  • references/quality_improvement.md

Open the folder on GitHubat commit ad79904

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.

Prompt Engineer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prompt Engineer this skillbastani-inc/atomic850—~1.4kAutomated safety check: PassCustom licence
Prompt Improverseverity1/claude-code-prompt-improver1.9k1 repos~1.7kAutomated safety check: PassMIT
Prompt Engineering Patternsynulihao/AgentSkillOS61714 repos~1.7kAutomated safety check: PassNone
Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2603 repos~1.4kAutomated safety check: PassCustom licence
Codex Fable5baskduf/FableCodex437—~1.6kAutomated safety check: PassAGPL-3.0

Similar skills

  • Prompt Improver

    severity1/claude-code-prompt-improver

    This skill enriches vague prompts with targeted research and clarification before execution.

    1.9k GitHub starsUsed in 1 repo~1.7k tokens
    AI & LLM EngineeringAuto-check passed
  • Prompt Engineering Patterns

    ynulihao/AgentSkillOS

    Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

    617 GitHub starsUsed in 14 repos~1.7k tokens
    AI & LLM EngineeringAuto-check passed
  • Patch Creation

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    2.5k GitHub stars~1.6k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Senior Prompt Engineer

    maslennikov-ig/claude-code-orchestrator-kit

    Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.

    260 GitHub starsUsed in 3 repos~1.4k tokens
    AI & LLM EngineeringAuto-check passed
  • Codex Fable5

    baskduf/FableCodex

    Apply a Claude Fable 5 inspired operating style inside Codex.

    437 GitHub stars~1.6k tokensUpdated 2 mo ago
    AI & LLM EngineeringAuto-check passed
  • Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.

    40k GitHub stars~1.3k tokensUpdated 5 days ago
    AI & LLM EngineeringAuto-check passed

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Questions about Prompt Engineer

What does Prompt Engineer do?

Write, evaluate, migrate, or troubleshoot prompts for GPT and Claude models. Prompt Engineer is an agent skill from bastani-inc/atomic. Write, evaluate, migrate, or troubleshoot prompts for GPT and Claude models.

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 bastani-inc/atomic --skill prompt-engineer -a claude-code`. Or copy the skill folder (packages/workflows/skills/prompt-engineer in bastani-inc/atomic) 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 bastani-inc/atomic --skill prompt-engineer -a codex`. Or copy the skill folder (packages/workflows/skills/prompt-engineer in bastani-inc/atomic) 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 bastani-inc/atomic --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 has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Prompt Engineer use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 31k tokens, read only when the agent opens those files.

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?

bastani-inc (a GitHub organization) maintains it in bastani-inc/atomic, which has 850 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 9, 2026.

Source: bastani-inc/atomic on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.