Cs Chatbot Design

What it does

When your agent uses it

• The user needs to build a chatbot
• Design conversation flows
• Implement intent classification
• Improve chatbot accuracy — even if they say build a chatbot

Example prompts

• “build a chatbot”
• “our bot doesn”
• “design a FAQ bot”
• “/cs-chatbot-design”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Acknowledge first: "Got it, you want to check your order status."
2. 2Be concise: Answer the question, then stop. Don't add unnecessary information.
3. 3Offer next steps: "Is there anything else I can help with?" or suggest related actions.
4. 4Use quick replies/buttons: Reduce typing, guide the conversation.
5. 5Personality: Define a consistent tone (friendly, professional, casual) and stick to it.

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cs Chatbot Design loads about 1.2k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 450 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~103

When it runs · the whole SKILL.md, loaded when a task matches

~1.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~4.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 450 words, ~1,246 tokens.

name

cs-chatbot-design

description

Design conversational AI chatbots including intent recognition, slot filling, dialogue flow, and response generation. Use this skill when the user needs to build a chatbot, design conversation flows, implement intent classification, or improve chatbot accuracy — even if they say 'build a chatbot', 'our bot doesn't understand users', 'design a FAQ bot', or 'improve our chatbot's responses'.

metadata.category

WP-06 Agent通訊+客服

metadata.tags

chatbot, conversational-ai, nlu, dialogue

IRON LAW: Intent First, Response Second

A chatbot must UNDERSTAND what the user wants (intent) before crafting
a response. Building response templates without intent classification
produces a keyword-matching FAQ, not a chatbot.

Flow: User message → Intent classification → Slot extraction → Response

# Chatbot Design: {Use Case}

## Intent Catalog
| Intent | Description | Example Utterances | Priority |
|--------|-----------|-------------------|---------|
| {intent} | {what it means} | "{example 1}", "{example 2}" | H/M/L |

## Dialogue Flows
### {Flow Name}
1. User: {trigger utterance}
2. Bot: {response + slot question if needed}
3. User: {provides info}
4. Bot: {confirmation or action}

## Fallback Strategy
- After 1 miss: rephrase + suggest options
- After 2 misses: offer human handoff

## Metrics Targets
| Metric | Target |
|--------|--------|
| Intent accuracy | > {X%} |
| Containment | > {X%} |

© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in cs-chatbot-design of asgard-ai-platform/skills.

• SKILL.md
• examples/sample_scenario.md
• references/nlu-training.md

Open the folder on GitHubat commit 4e7f4f8