Agent skill

LLM Application Dev Prompt Optimize

by aiskillstore in aiskillstore/marketplace

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

No licenceAuto-check passedAI & LLM Engineering

Install LLM Application Dev Prompt Optimize

skills CLI
$ npx skills add aiskillstore/marketplace --skill llm-application-dev-prompt-optimize -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace llm-application-dev-prompt-optimize --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/llm-application-dev-prompt-optimize .claude/skills/llm-application-dev-prompt-optimize && 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
llm-application-dev-prompt-optimize
GitHub stars
430
Used in
8 other repos
Token cost
~342 tokens
SKILL.md length
131 words
Files
3
Skills in repo
1,108
Repo updated
First seen
Licence
None found

At a glance

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

  • Tasks that involve Prompt engineering
  • SKILL.md covers Use this skill when, Do not use this skill when, Context and Requirements, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

LLM Application Dev Prompt Optimize is an agent skill from aiskillstore/marketplace. You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `resources/implementation-playbook.md` and `skill-report.json`).

It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • Tasks that involve Prompt engineering

Example prompts

  • “/llm-application-dev-prompt-optimize”

What it can do on your machine

Read from SKILL.md and the folder at commit ad8daf7. 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

LLM Application Dev Prompt Optimize loads about 342 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 131 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~342

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 131 words (~342 tokens).

“You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.”

— opening of SKILL.md by aiskillstore
name
llm-application-dev-prompt-optimize

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in skills/sickn33/llm-application-dev-prompt-optimize of aiskillstore/marketplace.

  • SKILL.md
  • resources/implementation-playbook.md
  • skill-report.json

Open the folder on GitHubat commit ad8daf7

Used in 8 other repositories

We found 19 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 8 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

LLM Application Dev Prompt Optimize 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.

LLM Application Dev Prompt Optimize compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
LLM Application Dev Prompt Optimize this skillaiskillstore/marketplace4308 repos~342Automated safety check: PassNone
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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Questions about LLM Application Dev Prompt Optimize

What does LLM Application Dev Prompt Optimize do?

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati. LLM Application Dev Prompt Optimize is an agent skill from aiskillstore/marketplace.

When should I use LLM Application Dev Prompt Optimize?

LLM Application Dev Prompt Optimize fits situations like: tasks that involve Prompt engineering.

How do I install LLM Application Dev Prompt Optimize in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill llm-application-dev-prompt-optimize -a claude-code`. Or copy the skill folder (skills/sickn33/llm-application-dev-prompt-optimize in aiskillstore/marketplace) into .claude/skills/llm-application-dev-prompt-optimize in your project. Claude Code loads it when a task matches its description.

How do I install LLM Application Dev Prompt Optimize in Codex?

Run `npx skills add aiskillstore/marketplace --skill llm-application-dev-prompt-optimize -a codex`. Or copy the skill folder (skills/sickn33/llm-application-dev-prompt-optimize in aiskillstore/marketplace) into .agents/skills/llm-application-dev-prompt-optimize in your project. Codex loads it when a task matches its description.

Can I use LLM Application Dev Prompt Optimize 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 aiskillstore/marketplace --skill llm-application-dev-prompt-optimize -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-application-dev-prompt-optimize, .gemini/skills/llm-application-dev-prompt-optimize, .github/skills/llm-application-dev-prompt-optimize and .opencode/skills/llm-application-dev-prompt-optimize in your project.

What does LLM Application Dev Prompt Optimize need to run?

SKILL.md names no scripts, command-line tools or credentials: LLM Application Dev Prompt Optimize is instructions for the agent only.

Does LLM Application Dev Prompt Optimize 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 LLM Application Dev Prompt Optimize 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 LLM Application Dev Prompt Optimize use?

No licence was found for LLM Application Dev Prompt Optimize or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does LLM Application Dev Prompt Optimize use?

About 342 tokens (SKILL.md is roughly 1.4k 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 LLM Application Dev Prompt Optimize?

Skills that share tags, products or a category with LLM Application Dev Prompt Optimize: 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 LLM Application Dev Prompt Optimize?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,108 skills in this directory. The repository was last updated on October 7, 2026.

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