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Dialogue

Checked
jwynia·vlatest·other

This "Dialogue" skill generates realistic conversational turns for chatbots, enhancing user engagement and creating more natural interactions.

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 jwynia/agent-skills --skill dialogue --full-depth -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

jwynia

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 jwynia/agent-skills at e02ec7e226.

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

Scanned
3 files, 1,338 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 helps diagnose and improve dialogue in fictional writing. It identifies why conversations feel flat or unrealistic and provides guidance to writers on crafting dialogue that serves multiple purposes simultaneously, such as advancing plot, revealing character, building tension, establishing relationships, and creating subtext. The skill analyzes dialogue across three layers: Text (what is said), Subtext (what is meant), and Context (the surrounding circumstances).

When to use it

  • When you feel your characters' conversations lack depth or realism.
  • If all of your characters sound alike, making them indistinguishable from one another.
  • When dialogue feels stilted, formal, or unnatural, like characters are delivering exposition rather than having a conversation.
  • To identify and correct instances where characters explain things they should already know ("As you know, Bob..." syndrome).

Key capabilities

  • Identifies Dialogue States: Recognizes and diagnoses three common dialogue problems: Identical Voices (D1), Wooden Dialogue (D2), and Exposition Dump (D3).
  • Layered Analysis: Evaluates dialogue based on Text, Subtext, and Context.
  • Provides Diagnostic Checklists: Offers specific questions to assess the quality of dialogue within each state.
  • Suggests Interventions: Recommends practical steps for improving dialogue, such as profiling character speech patterns or adding verbal tics.

Example prompts

  • "Analyze this dialogue excerpt and identify any issues with voice differentiation: [paste dialogue here]"
  • "This conversation feels unnatural. Can you diagnose why? [paste dialogue here]"
  • "How can I make the subtext clearer in this exchange between characters? [paste dialogue here]"

Tips & gotchas

  • The skill focuses on fictional dialogue; it's not designed for analyzing real-world conversations.
  • To get the most out of the skill, provide clear and complete dialogue excerpts.
  • Consider reading suggested revisions aloud to ensure they sound natural.