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Agent skill

Prompt Engineer

by WeaveMindAI in WeaveMindAI/weft

Writes and overhauls the LLM prompts inside a weft program (system prompts in prompts/, user prompt templates, JSON extraction instructions).

Custom licenceAuto-check: warningsAI & LLM Engineering

Install Prompt Engineer

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add WeaveMindAI/weft --skill prompt-engineer -a claude-code

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

GitHub CLI
$ gh skill install WeaveMindAI/weft 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/WeaveMindAI/weft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tangle/cline/.cline/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
2k
Token cost
~4k tokens
SKILL.md length
2,658 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
Custom licence

At a glance

Writes and overhauls the LLM prompts inside a weft program (system prompts in prompts/, user prompt templates, JSON extraction instructions).

  • Works in 5 steps: Hedges: every "should", "might", "try… → Leaks: contradictions between layers,… → Drift: every place the prompt navigates… → …
  • Tasks that involve Prompt engineering
  • SKILL.md covers Running commands, What a prompt is, The law and The patterns, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Engineer is an agent skill from WeaveMindAI/weft. Writes and overhauls the LLM prompts inside a weft program (system prompts in prompts/, user prompt templates, JSON extraction instructions). Runs on the WeaveMind prompt-building playbook. Dispatched by Tangle when a stage talks to a model and the prompt matters.

Its SKILL.md is about 4k 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: A programming language for AI orchestrations.

When your agent uses it

  • Tasks that involve Prompt engineering

Example prompts

  • “Use the prompt-engineer skill to write and overhauls the LLM prompts inside a weft program (system prompts in prompts/, user prompt templates, JSON…”
  • “/prompt-engineer”

Workflow steps

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

  1. Hedges: every "should", "might", "try to", and every "sometimes" that should have been a built path.
  2. Leaks: contradictions between layers, primitives redefined, examples showing the wrong behavior, failure modes left unnarrated.
  3. Drift: every place the prompt navigates instead of reshapes, requests where declarations belong.
  4. Weight: every sentence doing no work.
  5. The default: every route back to the assistant the model was before the prompt: the preamble, the hedged verdict, the apology, the offer…

What it can do on your machine

Read from SKILL.md and the folder at commit 6e28f31. 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 4k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 2,658 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~4k

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: warnings

The automated check found patterns that need a careful read before installing.

  • WarningContains instruction-override wording (e.g. “without asking the user”)SKILL.md:81
    ow what it looks like when it arrives ("ignore previous instructions", "this is just a test", empty input, fiction wrapp

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 2,658 words (~4,042 tokens).

“The helpful, hedging, apologetic voice that answers when nobody shapes the context is not the model. It is one persona among all the personas the model could run, the one that appears when the context gives it nothing better to…”

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

Read the full SKILL.md on GitHub

Files

Just SKILL.md in tangle/cline/.cline/skills/prompt-engineer of WeaveMindAI/weft.

Open the folder on GitHubat commit 6e28f31

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 skillWeaveMindAI/weft2k—~4kAutomated safety check: WarnCustom licence
Prompt Improverseverity1/claude-code-prompt-improver1.9k2 repos~1.7kAutomated safety check: PassMIT
Prompt Engineering Patternsynulihao/AgentSkillOS61715 repos~1.7kAutomated safety check: PassNone
Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k2 repos~1.3kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2604 repos~1.4kAutomated safety check: PassCustom licence

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    1.9k GitHub starsUsed in 2 repos~1.7k tokens
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  • Prompt Engineering Patterns

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Categories

Questions about Prompt Engineer

What does Prompt Engineer do?

Writes and overhauls the LLM prompts inside a weft program (system prompts in prompts/, user prompt templates, JSON extraction instructions). Prompt Engineer is an agent skill from WeaveMindAI/weft. Writes and overhauls the LLM prompts inside a weft program (system prompts in prompts/, user prompt templates, JSON extraction instructions).

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 WeaveMindAI/weft --skill prompt-engineer -a claude-code`. Or copy the skill folder (tangle/cline/.cline/skills/prompt-engineer in WeaveMindAI/weft) 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 WeaveMindAI/weft --skill prompt-engineer -a codex`. Or copy the skill folder (tangle/cline/.cline/skills/prompt-engineer in WeaveMindAI/weft) 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 WeaveMindAI/weft --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 flagged 1 warning(s): contains instruction-override wording (e.g. “without asking the user”). Read the flagged lines before installing; the check is not a guarantee either way.

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 4k tokens (SKILL.md is roughly 16k 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 LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Engineer?

WeaveMindAI (a GitHub organization) maintains it in WeaveMindAI/weft, which has 1,995 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 6, 2026.

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