A skill/package for building reusable, safe customer support prompt packs with configurable language, channel, and tone.

Stars

16

7-day growth

No data

Forks

8

Open issues

0

License

MIT

Last updated

2026-07-29

AI repository intelligence
FR-AI / ANALYSIS

Why it is worth attention

It provides a structured, configurable framework to standardize support prompts for bots and agents, supporting multilingual and multi-channel deployments.

Who it is for

  • Developers building support chatbots
  • Customer support teams needing consistent prompt libraries
  • AI prompt engineers
  • Helpdesk system integrators

Use cases

  • Creating consistent tone for email support responses
  • Building a library of macros for chat support
  • Generating policy-compliant refusal prompts
  • Setting up QA checks for support agent responses

Strengths

  • Configurable language (en, zh, bilingual) and channel (email, chat, ticket, multi)
  • Tone control via strictness option (friendly, neutral, firm)
  • MIT open source license
  • Easy installation via npx skills add

Considerations

  • Sparse documentation that relies heavily on external SKILL.md not included in README
  • No code examples or output format details provided
  • Unclear deliverable or workflow beyond basic options

README quick start

Prompt Pack

Build a customer-support prompt pack: tone, macros, escalation, refusal, QA checks.

中文简介: 你做可复用、安全的客服/支持提示词包。 — 详见 README.zh.md.

What this skill does

  • You create safe, reusable prompts for support agents/bots
  • Scope: See SKILL.md vertical lock.
  • Deliverable: See SKILL.md deliverable.
  • Triggers: support prompts, CS prompt pack, helpdesk AI, 客服提示词, 支持话术包.

Install

After this package is on GitHub:

npx skills add / --skill prompt-pack-support

Local monorepo: point your agent at skills/prompt-pack-support/ (this folder).

Options

OptionValuesDefault
langen · zh · bilingualen
channelemail · chat · ticket · multimulti
strictnessfriendly · neutral · firmneutral

Runtime output language follows lang (default en). Skill docs stay EN-primary.

When to use

UseDon't
(see bullets)(see bullets)

Use

  • When you need prompt-pack-support workflow

Don't

  • Out-of-scope tasks listed in SKILL.md

Deliverable

See SKILL.md deliverable.

Full workflow, hard rules, and QA: see SKILL.md.

Example

Monorepo sample (if present): ../../output/samples/prompt-pack-support-example-01.md

License

MIT — see LICENSE.

Related repositories

Similar projects matched by category, topics, and programming language.

MoonshotAI
Featured
MoonshotAI GitHub avatar

Kimi-K3

Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.

AI & Machine LearningAI Agents
3,348
lopopolo
Featured
lopopolo GitHub avatar

harness-engineering

Harness Engineering is a methodology for improving coding agent outputs by carefully crafting the environment around them—providing curated context, tools, and executable constraints that encode an organization’s nonfunctional requirements and cumulative lessons.

AI & Machine LearningAI Agents
2,390
slvDev
Featured
slvDev GitHub avatar

esp32-ai

A 28.9 million parameter language model runs on an $8 ESP32-S3 microcontroller entirely on-device, generating simple stories at about 9.5 tokens per second.

AI & Machine LearningLarge Language Models
1,960