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Conditional Request Helper

Listed
jeremylongshore·vlatest·other·MIT

This skill dynamically adjusts requests based on conditions, streamlining workflows and ensuring relevant responses for optimal efficiency.

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 jeremylongshore/tons-of-skills-marketplace --skill conditional-request-helper -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

jeremylongshore

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

The Conditional Request Helper skill allows an AI agent to dynamically adjust its requests based on the context of a previous response. It can modify subsequent prompts by adding, removing, or altering elements depending on conditions met in prior interactions. This enables more nuanced and adaptive conversations with the AI agent.

When to use it

  • Complex workflows: When an AI needs to perform multiple steps where each step depends on the outcome of the previous one (e.g., generating a report, then creating a presentation based on that report).
  • Dynamic content generation: If you need the AI to generate different types of content depending on user input or data analysis results.
  • Adaptive tutorials: To tailor instructions and explanations based on a learner’s progress and understanding.
  • Iterative design processes: When refining designs or prototypes through multiple rounds of feedback and modification.

Key capabilities

  • Conditional prompt modification
  • Dynamic request adjustment
  • Context-aware responses

Example prompts

  • "First, summarize this article. Then, if the summary mentions 'climate change', generate a list of related research papers."
  • "Write a Python function to sort a list. If the function has errors, provide debugging suggestions."
  • “Create an outline for a blog post about gardening. If the outline includes more than 5 sections, reduce it to 3.”

Tips & gotchas

The skill relies on clear and specific conditional logic within your prompts. Ensure that the conditions are easily identifiable by the AI agent to ensure accurate prompt adjustments.