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talk-normal

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.

Quellinformationen

Repository
hexiecs/talk-normal
Letzte Quellaktivität
15. April 2026 um 07:41
Erkannte Sprache von SKILL.md
Englisch
Sterne
1.857
Forks
62

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
talk-normal
slug
talk-normal
description
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.
version
0.6.2
tags
["prompt","anti-slop","concise","system-prompt","chinese","bilingual","always-on"]
homepage
https://github.com/hexiecs/talk-normal
license
MIT
# 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
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