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Repoprompt

Checked
parcadei·vlatest·ai-ml·MIT

Repoprompt rephrases your prompts to improve clarity and effectiveness, boosting AI response quality and reducing ambiguity.

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 parcadei/continuous-claude-v3 --skill repoprompt -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/repoprompt/SKILL.md
Scanned
1 file, 175 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 repoprompt skill enables AI agents to automatically generate and refine prompts based on existing conversation history or context. It helps maintain consistency and depth by allowing the agent to recall previous interactions when constructing new instructions or queries.

When to use it

  • You need an agent to remember specific constraints or preferences established in earlier turns of a conversation.
  • You want to dynamically adjust prompt complexity based on the evolving state of a multi-step task.
  • Your workflow requires regenerating prompts for similar tasks without manually rewriting context every time.
  • You are building agents that must adhere to a strict persona or style defined during initial setup.

Key capabilities

  • Automatically extracts relevant context from prior dialogue to inform new prompt generation.
  • Refines and restructures instructions to align with ongoing conversation goals.
  • Maintains continuity by preserving key details, constraints, and user preferences across sessions.

Example prompts

  • "Use our previous discussion about the project timeline to create a detailed prompt for drafting the weekly status report."
  • "Regenerate the coding task prompt based on the bug fixes we identified in the last three messages."
  • "Create a new interview question set using the candidate's background details shared earlier in this chat."

Tips & gotchas

Ensure you provide sufficient initial context or conversation history, as the skill relies heavily on prior interactions to function effectively. Avoid relying on it for completely unrelated tasks where no historical context exists.