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Automatic Stateful Prompt Improver

Checked
erichowens·vlatest·ai-ml·MIT

This skill dynamically refines prompts based on conversation history for more relevant and effective AI interactions, boosting output quality.

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 curiositech/some_claude_skills --skill automatic-stateful-prompt-improver -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

erichowens

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 erichowens/some_claude_skills at 6713fc7a64.

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

Commit
6713fc7a64
Manifest
.claude/skills/automatic-stateful-prompt-improver/SKILL.md
Scanned
1 file, 140 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 Automatic Stateful Prompt Improver skill automatically refines prompts based on previous interactions. It remembers prior turns in the conversation and uses this context to iteratively improve prompt quality, leading to more relevant and accurate responses from the AI agent. This allows for complex tasks to be broken down into smaller steps with improved overall results.

When to use it

  • Complex Task Decomposition: When a task requires multiple steps or back-and-forth refinement.
  • Iterative Brainstorming: To guide an AI through a brainstorming session, building upon previous ideas.
  • Content Generation with Constraints: When generating content that needs to adhere to specific guidelines or evolve over time.
  • Debugging and Troubleshooting: When needing the agent to systematically explore potential solutions based on prior attempts.

Key capabilities

  • Stateful conversation memory
  • Automatic prompt refinement
  • Iterative improvement of prompts
  • Contextual awareness across turns

Example prompts

  • "Let's write a short story. Start with an outline, then we’ll refine it together."
  • "Generate some marketing copy for our new product. Remember the brand guidelines from earlier."
  • “Debug this code snippet. Remember the errors we found in the last iteration.”

Tips & gotchas

The skill relies on maintaining conversation history; very long conversations may impact performance. Ensure your agent has sufficient context window to accommodate previous turns for optimal results.