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Iterative Retrieval

Checked
peopleforrester·vlatest·other·MIT

This skill refines search queries iteratively based on initial results, maximizing information discovery and efficiency for complex needs.

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 peopleforrester/claude-dotfiles --skill iterative-retrieval -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

peopleforrester

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 peopleforrester/claude-dotfiles at db7caa0374.

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

Commit
db7caa0374
Manifest
skills/optimization/iterative-retrieval/SKILL.md
Scanned
1 file, 117 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

This skill enables iterative retrieval of information, allowing the AI agent to refine its search strategy based on initial results. It can be used to progressively narrow down a topic or explore related concepts in stages. The skill dynamically adjusts queries and sources to improve accuracy and relevance over multiple iterations.

When to use it

  • Researching complex topics where an initial broad search yields too many irrelevant results.
  • Exploring a subject with many interconnected subtopics, requiring phased investigation.
  • When needing to find specific information within a large dataset or knowledge base.
  • Generating content that requires progressively more detailed and nuanced information.

Key capabilities

  • Iterative query refinement
  • Dynamic source adjustment
  • Progressive narrowing of search scope
  • Multi-stage exploration of related concepts

Example prompts

  • "Find me information about climate change, starting with a broad overview."
  • "I'm researching electric vehicles. First, give me an introduction to battery technology, then focus on solid-state batteries."
  • "Tell me about the history of jazz music. Begin with its origins in New Orleans and then explore the bebop era."

Tips & gotchas

The effectiveness of this skill depends on providing clear initial guidance or a starting point for the AI agent's search. Vague prompts may lead to less focused iterative results.