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Context Engineering Advisor

Checked
deanpeters·vlatest·other

This advisor helps you design better AI systems by suggesting improvements to prompt and data context, boosting performance & reducing hallucinations.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add deanpeters/product-manager-skills --skill context-engineering-advisor -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

deanpeters

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned deanpeters/product-manager-skills at cfcb697f14.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
cfcb697f14
Manifest
skills/context-engineering-advisor/SKILL.md
Scanned
1 file, 772 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Context Engineering Advisor skill helps AI agents understand and utilize complex context effectively. It can analyze existing context, identify gaps in information, and suggest relevant data to improve the agent's responses. This leads to more accurate, nuanced, and helpful interactions across various applications.

When to use it

  • Complex Problem Solving: When an AI needs to synthesize information from multiple sources or understand intricate scenarios.
  • Personalized Recommendations: To tailor suggestions based on a deep understanding of user history and preferences.
  • Content Creation Assistance: To ensure generated content is relevant, accurate, and aligned with the desired tone and style given extensive background material.
  • Debugging Agent Behavior: When an agent's responses are inconsistent or inaccurate, to diagnose context-related issues.

Key capabilities

  • Context Analysis: Evaluates existing context for completeness and relevance.
  • Gap Identification: Pinpoints missing information needed for optimal performance.
  • Data Suggestion: Recommends relevant data sources to enrich the context.

Example prompts

  • "Analyze this customer support transcript and identify any gaps in the provided background information."
  • "Given these product specifications, what additional context would be helpful for generating marketing copy?"
  • “I'm getting inconsistent responses from my agent; can you analyze its current context and suggest improvements?”

Tips & gotchas

The effectiveness of this skill relies on providing sufficient initial context. It is best used in conjunction with other skills focused on data retrieval or knowledge management to ensure the suggested data is accessible to the AI agent.