talk-normal

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Stop LLM slop. A curated system prompt that cuts verbose, corporate-sounding LLM output by 56-71% (measured) while preserving information. Works bilingually (English + Chinese). Installs into your AGENTS.md as an always-on behavior modifier.

7installs

Sourcehexiecs/talk-normal

Added on2026-04-17

NPX Install

npx skill4agent add hexiecs/talk-normal talk-normal

SKILL.md Content

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talk-normal

A curated system prompt that stops your LLM from writing like a LinkedIn post. Measured: 71% character reduction on GPT-4o-mini, 56% on GPT-5.4, across 10 prompts in English and Chinese, without losing information.

What this skill does

When invoked, this skill installs the talk-normal rules into your workspace's

AGENTS.md

file as an always-on behavior modifier. After install, every reply your OpenClaw agent produces follows the rules in

prompt.md

. The rules live between

# --- talk-normal BEGIN ---

and

# --- talk-normal END ---

markers so they do not conflict with your existing rules in

AGENTS.md

.

This is not a workflow skill you invoke per turn. It is a one-time installer that makes your agent permanently less verbose until you uninstall.

How to run

To install or update talk-normal in the current workspace:

bash

bash install.sh

The script is idempotent: running it again replaces the existing talk-normal block in place with the latest rules. Nothing else in your

AGENTS.md

is touched.

To remove:

bash

bash install.sh --uninstall

What gets installed

The contents of

prompt.md

get injected into your

AGENTS.md

. The rules target the specific slop patterns that make LLM output sound corporate and padded, grouped into a few categories:

Filler and hedging — banned opening phrases ("Great question", "I'd be happy to", "让我们一起来看看"), no throat-clearing, no restating the question
Structural discipline — lead with the answer, match depth to complexity, use bullets only when content is genuinely parallel, cap explanations for conceptual questions
Closing patterns — no "In summary" / "Hope this helps" / "综上所述", no hypothetical follow-up offers, no conditional next-step menus ("If you want I can also...")
Rhetorical tics — no "不是X，而是Y" / reject-then-correct framing in any variant, no plain-language restatements ("翻成人话", "in other words")
Shape of comparisons — give a recommendation with brief reasoning, cap pros/cons lists, no balanced-essay posture

The exact rule list lives in

prompt.md

and evolves as new slop patterns get caught in the wild. Every commit to that file is a named slop pattern killed.

Updating to the latest rules

bash

clawhub update talk-normal
bash install.sh

The first command pulls the latest skill bundle from ClawHub. The second command re-runs the idempotent installer, replacing the old rule block in

AGENTS.md

with the new one.

Compatibility

Works on any LLM that honors system prompts or custom instructions: GPT-5.4, GPT-4o-mini, Claude 4.6, Gemini 2.5, Grok 3, Qwen 3, DeepSeek V3, and others. OpenClaw integration is via

AGENTS.md

injection, which the agent reads on every turn.

Measured effect

Full benchmark data for 10 prompts across GPT-4o-mini and GPT-5.4 is in

TEST_RESULTS.md

in the upstream repository. Average reduction: 71% on GPT-4o-mini, 56% on GPT-5.4, while preserving the information content of the original response.

Upstream and issues

Source: https://github.com/hexiecs/talk-normal
Issues and rule suggestions: https://github.com/hexiecs/talk-normal/issues
Contributing: see
```
CONTRIBUTING.md
```
in the upstream repo for the rule-submission format

License

MIT

talk-normal

NPX Install

Tags

SKILL.md Content

talk-normal

What this skill does

How to run

What gets installed

Updating to the latest rules

Compatibility

Measured effect

Upstream and issues

License