What Filler Phrases Does Humanizer Aim to Reduce? Complete Pattern 23 Guide

Humanizer targets verbose introductory clauses such as "In order to," "Due to the fact that," and "At this point in time," replacing them with concise alternatives like "To," "Because," and "Now" to eliminate artificial-sounding AI prose.

The blader/humanizer repository provides a Claude skill that transforms machine-generated text into natural human writing by removing unnecessary verbosity. Pattern 23 specifically addresses filler phrases that create wordy, stilted prose in statistical language generation. According to the skill definition, these transformations strip superfluous introductory clauses while preserving the original semantic meaning.

Pattern 23 – Filler and Hedging

The "Filler and hedging" section in SKILL.md enumerates specific verbose constructions that make text feel artificially generated. Located at lines 66-76 of the skill definition, this pattern maps lengthy hedging expressions to their direct equivalents, aligning AI output with natural human writing style.

Specific Filler Phrases Targeted

The skill definition identifies the following verbose expressions and their concise replacements:

• "In order to achieve this goal" becomes "To achieve this"
• "Due to the fact that it was raining" becomes "Because it was raining"
• "At this point in time" becomes "Now"
• "In the event that you need help" becomes "If you need help"
• "The system has the ability to process" becomes "The system can process"
• "It is important to note that the data shows" becomes "The data shows"

Source Code Location

According to the blader/humanizer source code, the filler phrase definitions reside in two primary documentation files within the repository root.

SKILL.md Core Definitions

The authoritative transformation rules are defined in SKILL.md at lines 66-76. This section contains the complete "Filler and hedging" pattern specification that Claude uses to identify and rewrite verbose clauses during text processing.

README.md Pattern Reference

The repository's README.md file provides user-facing documentation for all 35 Humanizer patterns, with Pattern 23 for filler phrases referenced at lines 13-15. This file serves as the primary interface for understanding available text transformations, while AGENTS.md provides guidance on maintaining skill compatibility across different agent implementations.

Practical Transformation Examples

Humanizer applies these reductions automatically when processing text through the Claude skill interface.

Example 1: Capability Statements

Input command:

/humanizer
In order to achieve this goal, the system has the ability to process large datasets.

Humanizer output:

To achieve this, the system can process large datasets.

Example 2: Temporal References

Input command:

/humanizer
At this point in time, it is important to note that the data shows a steady increase.

Humanizer output:

Now, the data shows a steady increase.

Summary

• Humanizer's Pattern 23 specifically targets filler phrases that create verbose, AI-sounding prose through the "Filler and hedging" transformation rules.
• The reduction mappings are defined in SKILL.md lines 66-76 and documented in README.md lines 13-15.
• Common transformations include replacing "In order to" with "To," "Due to the fact that" with "Because," and "At this point in time" with "Now."
• These changes eliminate superfluous introductory clauses while preserving the core meaning and improving readability.

Frequently Asked Questions

What specific filler phrases does Humanizer remove?

Humanizer removes verbose expressions such as "In order to," "Due to the fact that," "At this point in time," and "It is important to note that." The skill replaces these with direct alternatives like "To," "Because," "Now," and concise statements that convey identical meaning without the artificial padding.

Where are the filler phrase rules defined in the Humanizer repository?

The transformation rules are defined in SKILL.md at lines 66-76 within the "Filler and hedging" section. The README.md file also references these patterns at lines 13-15 for quick user reference, providing a complete table of all 35 Humanizer patterns.

Does Humanizer preserve the original meaning when removing filler phrases?

Yes, the skill specifically targets semantically empty introductory clauses. For example, "Due to the fact that" and "Because" express identical causal relationships, but the latter reads more naturally. The transformations remove only superfluous words that add no substantive meaning to the sentence.

Can I see examples of Humanizer's filler phrase reduction?

The repository demonstrates transformations such as converting "In order to achieve this goal" to "To achieve this," and "At this point in time" to "Now." These examples show how the skill processes text via the /humanizer command interface to produce more concise, human-like prose.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}