Skills prompting

📦

prompting

Name: prompting
Author: AaronAbuUsama

Content revision r3 Safe ⚙️ External commands

Master Prompt and Context Engineering for AI Agents

Vague, bloated prompts waste context and produce unreliable AI agent behavior. This skill applies Anthropic context-engineering principles to help you write clear, structured, high-signal prompts that improve accuracy and reduce token cost.

Supports: Claude Codex Code(CC)

🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "prompting" from https://skillstore.io/skills/aaronabuusama-prompting.md and its manifest at https://skillstore.io/api/skills/aaronabuusama-prompting/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/aaronabuusama-prompting.md Signed manifest GET /api/skills/aaronabuusama-prompting/manifest Signed lockfile GET /api/skills/aaronabuusama-prompting/lockfile

Test it

Using "prompting". Help me structure a prompt for a code review assistant.

Expected outcome:

The skill returns a prompt organized into four sections: Background (the assistant reviews pull requests for correctness and style), Instructions (imperative steps such as read the diff, flag defects, suggest fixes), Examples (a sample finding), and Constraints (report format, severity levels, and scope limits).

Using "prompting". Optimize a verbose 300-word prompt full of hedging language.

Expected outcome:

The skill rewrites the prompt into a shorter version: suggestions become direct instructions, repeated points are merged, paragraphs become bulleted lists, and long inline examples are replaced with references. The result covers the same requirements in far fewer tokens.

Security Audit

Safe

v13 • 7/23/2026 Open versioned report

This skill is documentation-only: Markdown files describing prompt- and context-engineering standards, with two template workflows. All ten static findings are false positives. The 'Ruby/shell backtick execution' matches are Markdown inline code spans (identifiers like `calculate_tax` and `tool_name(params)`) used as prose examples, and the 'system reconnaissance' matches are ordinary English sentences. No scripts, network access, filesystem writes, environment access, or prompt-injection content is present.

Files scanned

536

Lines analyzed

Review items

False positives ignored

Risk Factors

⚙️ External commands (7)

CLAUDE.md:98-99 CLAUDE.md:161-163 CLAUDE.md:232-233 CLAUDE.md:233-246 CLAUDE.md:263-264 CLAUDE.md:264-267 SKILL.md:89

No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.

Audited by: claude View Audit History →

Share & cite this report

Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.

Open versioned report

Copy report link

https://skillstore.io/skills/aaronabuusama-prompting/audits/13?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

AaronAbuUsama. (2026). prompting security audit report (audit version 13) [Author version unspecified]. Skillstore. https://skillstore.io/skills/aaronabuusama-prompting/audits/13

BibTeX citation

@techreport{aaronabuusama-aaronabuusama-prompting-2026,
  author = {AaronAbuUsama},
  title = {prompting security audit report (audit version 13)},
  institution = {Skillstore},
  year = {2026},
  number = {13},
  url = {https://skillstore.io/skills/aaronabuusama-prompting/audits/13},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "prompting security audit report (audit version 13)"
version: "unspecified"
type: report
authors:
  - name: "AaronAbuUsama"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/aaronabuusama-prompting/audits/13"
identifiers:
  - type: other
    value: "skillstore:aaronabuusama-prompting:audit:13"
    description: "Skillstore immutable audit report identifier"

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Design a new system prompt

A developer building an AI agent uses the create-prompt workflow and template sections to write a clear, well-structured system prompt from the start.

Trim a bloated prompt

An engineer applies the optimize-prompt workflow to cut redundant text, convert suggestions into direct instructions, and reduce context cost while keeping quality.

Standardize team prompt quality

A team lead adopts the best-practices checklist and anti-pattern list as a review standard so all agent prompts across the team follow the same conventions.

Try These Prompts

Get started with prompt structure

Using the prompting skill, help me structure a prompt for an assistant that summarizes support tickets. Organize it into Background, Instructions, Examples, and Constraints sections.

Optimize an existing prompt

Apply the optimize-prompt workflow to this prompt. Remove redundancy, make instructions direct, and add clear structure. Show the before and after.

Apply progressive information discovery

Review this prompt and rewrite it to use just-in-time context loading. Replace inline data dumps with lightweight references that load detail only when needed.

Audit a prompt against the checklist

Evaluate this agent prompt against the prompting skill best-practices checklist and anti-patterns. List each item that passes or fails and give a concrete fix for every failure.

Best Practices

Structure every prompt with clear Markdown sections so each part has one purpose.
Write instructions in direct imperative voice and remove hedging words like might, could, and should consider.
Load detailed data just in time through references instead of dumping full context up front.

Avoid

Filling the prompt with verbose explanations and historical background that add tokens without adding signal.
Repeating the same instruction or overlapping tool definitions across multiple places.
Loading large data sets or full schemas into the prompt before they are actually needed.

Frequently Asked Questions

What does this skill do?

It provides standards, templates, and workflows for writing and improving prompts for AI agents, based on Anthropic context-engineering principles.

Does the skill run any code or commands?

No. It contains only Markdown documentation and templates. It does not execute scripts, access the network, or modify files.

Which AI tools can use this skill?

It is written for Claude, Codex, and Claude Code, and its principles apply to prompting for large language models in general.

Is this for beginners or experts?

Both. Beginners get clear structure templates and a checklist, while experienced engineers get context-cost reduction and progressive-discovery techniques.

What is context engineering?

It is the practice of curating the smallest set of high-signal tokens during inference so the model has exactly what it needs and nothing that wastes its attention budget.

Will it automatically rewrite my prompts?

It guides the rewrite through workflows and checklists, but you review and apply the changes. Testing and iteration remain in your control.