About

Imported from hexiecs/talk-normal (skill/SKILL.md). Install upstream with npx skills add hexiecs/talk-normal --skill skill. Copyright stays with the author (MIT).

talk-normal

Name: talk-normal
Author: hexiecs

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 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 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

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

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/hexiecs-talk-normal-skill/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

hexiecs-talk-normal-skill.ocm.jsonjson

{
  "ocm": "1",
  "id": "hexiecs-talk-normal-skill",
  "kind": "skill",
  "name": "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.",
  "publisher": "hexiecs",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "math"
    ],
    "tags": [
      "skill-md",
      "prompt",
      "anti-slop",
      "concise",
      "system-prompt",
      "chinese",
      "bilingual",
      "always-on",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "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."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/hexiecs/talk-normal",
      "path": "skill/SKILL.md",
      "ref": "d89cf329e775e640181427fae071652198264c7e",
      "url": "https://github.com/hexiecs/talk-normal/blob/d89cf329e775e640181427fae071652198264c7e/skill/SKILL.md",
      "key": "hexiecs/talk-normal/skill/SKILL.md"
    },
    "license": "MIT"
  },
  "instructions": "# talk-normal\n\nA 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.\n\n## What this skill does\n\nWhen 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 yo",
  "cost": {
    "context_tokens": 816
  }
}

Fetch it by URL: GET /api/v1/registry/hexiecs-talk-normal-skill/manifest?version=1.0.0

Reviews

Star ratings from people who tried it. One review per account; edit yours any time.

No reviews yet. Install it, try it, and be the first to rate it.