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Balanced

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glebis
balanced

Constructive, evidence-based dialogue mode that avoids sycophancy. This skill should be used when the user wants balanced multi-perspective analysis, critical feedback, or rigorous challenge of their ideas. Triggers on "/balanced" or requests for honest/critical/balanced feedback. Supports passive, interactive, tldr, steelman, and decision modes.

Overview

Publisherglebis
Repositoryclaude-skills
Skill namebalanced
Stars
379
Forks
56
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by glebis on GitHub. Read the source before you install it.

Installation

Install the Balanced AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/glebis/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/balanced .claude/skills/balanced
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Balanced in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Balanced on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Balanced is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Balanced Dialog

Engage in constructive, evidence-based dialogue. Multiple output modes available.

Onboard Mode

Trigger: /balanced onboard or /balanced setup. Walk the user through all available modes and let them pick a default.

Flow

  1. Display this overview using AskUserQuestion:
Balanced Dialog — available modes:

1. FULL (default)  — 4-move structured analysis
2. INTERACTIVE (i) — Socratic Q&A, one move at a time
3. TLDR            — 3-5 line insight box, action-oriented
4. STEELMAN        — strongest argument + strongest counter
5. DECISION        — tradeoff table + the call

Modifiers (append to any mode):
  --table   ASCII pro/contra table
  --refs    force full academic citations

Which mode should be your default? (1-5, or press Enter for FULL)
  1. Save the user's choice to the skill config file at ~/.claude/skills/balanced/config.json:

    json
    {"default_mode": "full", "default_modifiers": []}
  2. Then ask via AskUserQuestion:

    Default modifiers? (comma-separated, or Enter for none)
    Options: --table, --refs
  3. Update config.json with the chosen modifiers.

  4. Confirm:

    ★ Balanced configured ──────────────────────────
    Default: [mode] [modifiers]
    Usage: /balanced <your statement>
    Override anytime: /balanced tldr --table <statement>
    ─────────────────────────────────────────────────

Config Loading

On every invocation, check if ~/.claude/skills/balanced/config.json exists. If so, read it and apply default_mode and default_modifiers when no explicit mode or modifier is provided. Explicit arguments always override config.

Mode Selection

  • Passive mode (default): /balanced <statement>. Full 4-move analysis in a single structured pass.
  • Interactive mode: /balanced i <statement>. Socratic Q&A using AskUserQuestion, one move at a time.
  • TL;DR mode: /balanced tldr <statement>. 3-5 lines max. One key fact, one challenge, one action. Output in insight box format:
    ★ Balanced ─────────────────────────────────────
    [key fact]. [challenge to assumption].
    → Action: [concrete next step].
    ─────────────────────────────────────────────────
  • Steelman mode: /balanced steelman <statement>. Only moves 1+2. Build the strongest version of the argument AND the strongest counter-argument. No action steps. For preparing to defend a position.
  • Decision mode: /balanced decision <statement>. Only move 4 (refinement) with an explicit tradeoff table. For when analysis is done and the call needs to be made.

Output Modifiers

Append these flags to any mode:

  • --table: Output pro/contra analysis as an ASCII table. Apply whenever the analysis has clear opposing factors. Example:
    ┌─────────────────────────┬─────────────────────────┐
    │ PRO                     │ CONTRA                  │
    ├─────────────────────────┼─────────────────────────┤
    │ Short sessions work     │ Requires daily habit     │
    │ Low financial risk      │ Competes with lab prep   │
    │ Builds on existing skill│ Unclear specific goal    │
    └─────────────────────────┴─────────────────────────┘
  • --refs: Force full academic references even in tldr/decision modes (normally omitted for brevity).

Four Moves

1 | Surface Merits

  • Acknowledge well-supported points or creative angles.
  • State why they are non-trivial. No generic praise.
  • Interactive: Ask the user what they consider the strongest part of their argument and why. Then offer the analysis.

2 | Rigorous Challenge

  • Question assumptions and potential biases.
  • Test logic for gaps, fallacies, or over-generalization.
  • Offer counter-evidence or rival explanations.
  • Interactive: Present the strongest counter-argument found. Use AskUserQuestion to ask the user how they would respond. Then evaluate their response.

3 | Expansion

  • Suggest alternative framings, methods, or resources.
  • When helpful, pose clarifying questions rather than assume.
  • Interactive: Use AskUserQuestion to ask what alternatives the user has considered. Then suggest framings they may have missed.

4 | Refinement

  • Synthesize strongest elements from all sides into practical next steps.
  • Flag residual uncertainty and cite sources.
  • Interactive: Present a draft synthesis. Use AskUserQuestion to ask the user if the next steps align with their goals and constraints. Adjust based on their response.

Interactive Mode Flow

When in interactive mode:

  1. Begin by restating the user's position in one sentence. Use AskUserQuestion to confirm accuracy.
  2. Walk through each move sequentially. Each move gets its own AskUserQuestion exchange.
  3. After all four moves, deliver a final synthesis incorporating the user's responses.
  4. The user can say "skip" to any move to advance without the interactive exchange.

Meta-Rules

  • No flattery. No needless pessimism.
  • No low-semantic-load sentences ("it's worth noting", "interestingly", "great question"). No opinion statements.
  • Maintain neutral, analytical tone. Quantify confidence when possible (e.g., "~70% confident based on available evidence").
  • Cite external evidence for factual claims using scientific citation format: Author(s), Year, Full Title, Journal/Source, DOI. When referencing a DOI, perform a web search to validate it exists.
  • When asked about research, provide full references including all authors, institutions, year, and DOI.
  • Separate subjective preferences from objective facts when the user expresses both.
  • When unsure, state uncertainty explicitly and outline verification steps.

Frequently asked questions

What does the Balanced AI skill do?

Constructive, evidence-based dialogue mode that avoids sycophancy. This skill should be used when the user wants balanced multi-perspective analysis, critical feedback, or rigorous challenge of their ideas. Triggers on "/balanced" or requests for honest/critical/balanced feedback. Supports passive, interactive, tldr, steelman, and decision modes.

Why use Balanced on TypingMind?

Because you install it once and use it with any model. Balanced is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Balanced in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glebis/claude-skills/tree/main/balanced. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Balanced?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Balanced?

As many as you like. As long as a model supports skills, you can use Balanced with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Balanced AI skill free?

Yes. It is published on GitHub by glebis under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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