Customer Support Tooling Stinger logo

Customer Support Tooling Stinger

Organization
legioncodeinc
customer-support-tooling-stinger

Choose and configure a SaaS support stack. Use for inboxes, AI deflection, SLAs, routing, or founder triage. Read README.md for the guide map.

Overview

Publisherlegioncodeinc
Repositoryvibe-coding-tools
Skill namecustomer-support-tooling-stinger
Stars
94
Forks
44
Bundled files
18
LicenseAGPL-3.0-or-later
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by legioncodeinc on GitHub. Read the source before you install it.

Installation

Install the Customer Support Tooling Stinger AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/growth-and-customer-tools/skills/customer-support-tooling-stinger
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/legioncodeinc/vibe-coding-tools.git /tmp/vibe-coding-tools
mkdir -p .claude/skills
cp -r /tmp/vibe-coding-tools/plugins/growth-and-customer-tools/skills/customer-support-tooling-stinger .claude/skills/customer-support-tooling-stinger
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Customer Support Tooling Stinger in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Customer Support Tooling Stinger on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Customer Support Tooling Stinger is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

customer-support-tooling Stinger

Arsenal for customer-support-tooling-wasp-drone. Encodes the decision trees, comparison matrices, configuration templates, and integration wiring guides the Angel reads when invoked.

When this stinger applies

Load when the Angel is asked to:

  • Prepare support before first paying users with guides/08-prepare-support-before-first-paying-users.md, reusing guide 07 for obligations and capacity
  • Plan support, renewal and offboarding obligations before selling, using guides/07-plan-support-and-renewal-obligations.md
  • Recommend a support tool (Plain vs Pylon vs Help Scout vs Front vs Intercom)
  • Configure a shared inbox (routing, assignment, tags, SLA tiers)
  • Design or audit an AI-deflection flow (FAQ bot, Fin 2.0, Ari, Crisp Bot)
  • Wire integrations (Slack bi-directional, Linear escalation, Notion knowledge-base)
  • Design SLA policy (P1/P2/P3 tiers, breach alerts, CSAT collection)
  • Produce a founder-as-support triage playbook for teams of <= 3
  • Audit an existing support setup for SLA misses, deflection gaps, routing bottlenecks

Do NOT load for:

  • Chat widget installation and HMAC verification code → live-chat-support-wasp-drone
  • Authentication and SSO for the support tool → auth-wasp-drone
  • GDPR conversation-history retention audits → security-wasp-drone
  • Billing/subscription issues surfaced through support → payments-wasp-drone

First actions when this stinger is loaded

For launch support readiness, read guides/08-prepare-support-before-first-paying-users.md first and prepare the launch worksheet. Record actual routing, accepted responders, safe handoffs and proof level; setup and customer launch remain separate authorized actions. Article counts are internal prerequisites, not sufficient AI quality or privacy evidence.

For support promises, renewal or offboarding planning, read guides/07-plan-support-and-renewal-obligations.md first. Historical numeric SLA/founder examples are unapproved illustrations, never default customer commitments. Missing staffing, calendar, approved terms or costs stay UNKNOWN. This produces a decision packet only; Payments, Security and qualified policy/legal reviewers retain their execution and review boundaries.

Read in this order:

  1. guides/00-principles.md — scope boundary, B2B vs B2C posture rule, handoff protocol to peer Angels.
  2. guides/01-tool-selection.md — comparison matrix and decision tree (Plain, Pylon, Help Scout, Front, Intercom).
  3. research/external/2026-05-20-tool-comparison-matrix.md (source-repository research, not shipped with the plugin) — the structured feature/pricing matrix and decision tree from G2 + Capterra 2026.

Then consult the specific guide for the task at hand (see Folder layout below).

Folder layout

customer-support-tooling-stinger/
├── SKILL.md                              (this file — master index)
├── README.md                             (one-page human overview)
├── guides/
│   ├── 00-principles.md                  (scope boundary, B2B/B2C posture rule, peer handoffs)
│   ├── 01-tool-selection.md              (comparison matrix, decision tree, scoring rubric)
│   ├── 02-shared-inbox-config.md         (routing rules, tags, merge/split, SLA tier mapping)
│   ├── 03-ai-deflection.md               (Fin/Ari/Crisp tiers, KB dependency, escalation flow)
│   ├── 04-sla-design.md                  (P1/P2/P3 tiers, breach alerts, CSAT collection)
│   ├── 05-integrations.md                (Slack sync, Linear escalation, Notion KB surfacing)
│   └── 06-founder-as-support.md          (0-to-hire playbook, inbox cadence, triage templates)
├── examples/
│   ├── b2b-plain-linear-slack.md         (worked: B2B SaaS dev-tool using Plain + Linear + Slack)
│   └── b2c-intercom-fin.md               (worked: B2C product using Intercom + Fin 2.0)
├── templates/
│   ├── support-audit-report.md           (skeleton report for existing-stack audits)
│   └── founder-triage-checklist.md       (triage checklist for 1-3 person support teams)
├── reports/
│   └── README.md                         (accumulates past audit reports over time)
└── research/                             (populated by scripture-historian — do not modify)
    ├── research-plan.md
    ├── research-summary.md
    ├── index.md
    └── external/
        ├── 2026-05-20-plain-docs-overview.md
        ├── 2026-05-20-pylon-positioning.md
        ├── 2026-05-20-helpscout-pricing-pivot.md
        ├── 2026-05-20-front-shared-inbox.md
        ├── 2026-05-20-intercom-fin-ai.md
        ├── 2026-05-20-slack-linear-integration.md
        ├── 2026-05-20-sla-tracking-patterns.md
        ├── 2026-05-20-founder-as-support.md
        ├── 2026-05-20-ai-deflection-benchmarks.md
        └── 2026-05-20-tool-comparison-matrix.md

Critical directives (from Command Brief)

  • Never recommend a tool without a comparison table. Tool selection without explicit trade-off documentation produces vendor lock-in regret and makes the decision unauditable.
  • Always ask for team size and B2B/B2C posture before recommending. Plain/Pylon are optimal for B2B developer products but a poor fit for high-volume B2C; wrong fit wastes months of migration work.
  • Scope AI deflection to documented FAQs only until the product has > 20 help articles. LLM-agent deflection on sparse data produces hallucinated answers that erode customer trust faster than slow human responses.
  • Do not configure SLA alerts without first confirming the alerting channel is staffed. An unmonitored SLA breach alert is worse than no alert — it creates false confidence.
  • Route GDPR deletion requests and data-export concerns to security-wasp-drone. Conversation-history retention is a data-sovereignty concern that crosses into legal liability.

Open questions (from research)

These were unresolved after the normal-depth research sweep. Flag them to the user when relevant:

  1. Plain's enterprise pricing (> 200 seats) is not public — requires a sales call before committing at scale.
  2. Pylon AI resolution rate benchmarks are not publicly available as of May 2026.
  3. ClearFeed / Unthread / Thena Slack-native inbox tools need a follow-on research pass.
  4. Notion's integration pattern with Plain and Pylon is not documented natively — use API/webhook workaround.
  5. Intercom Fin outcome-based pricing behavior at > 10K resolutions/month is undocumented.

Forged by stinger-forge from customer-support-tooling-wasp-drone-command-brief.md and research/. Part of the Legion AI Tools Factory by Mario Aldayuz a.k.a @thenotoriousllama.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Customer Support Tooling Stinger AI skill do?

Choose and configure a SaaS support stack. Use for inboxes, AI deflection, SLAs, routing, or founder triage. Read README.md for the guide map.

Why use Customer Support Tooling Stinger on TypingMind?

Because you install it once and use it with any model. Customer Support Tooling Stinger is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Customer Support Tooling Stinger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/legioncodeinc/vibe-coding-tools/tree/main/plugins/growth-and-customer-tools/skills/customer-support-tooling-stinger. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Customer Support Tooling Stinger?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Customer Support Tooling Stinger?

As many as you like. As long as a model supports skills, you can use Customer Support Tooling Stinger with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Customer Support Tooling Stinger AI skill free?

Yes. It is published on GitHub by legioncodeinc under the AGPL-3.0-or-later license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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