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Doncheli Tech Panel

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doncheli
doncheli-tech-panel

Convene a senior engineering expert panel to evaluate technical decisions. Activate when user mentions "tech panel", "technical discussion", "expert opinion", "architecture decision", "which technology", "should we use".

Overview

Publisherdoncheli
Repositorydon-cheli-sdd
Skill namedoncheli-tech-panel
Stars
59
Forks
12
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Doncheli Tech Panel 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/doncheli/don-cheli-sdd/tree/main/.agent/skills/doncheli-tech-panel
  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/doncheli/don-cheli-sdd.git /tmp/don-cheli-sdd
mkdir -p .claude/skills
cp -r /tmp/don-cheli-sdd/.agent/skills/doncheli-tech-panel .claude/skills/doncheli-tech-panel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doncheli Tech Panel 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 Doncheli Tech Panel 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 Doncheli Tech Panel 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.

Don Cheli: Senior Tech Panel

Panel Members

Each expert has 15+ years of experience and must back every argument with a real-world incident, benchmark, or published case study:

ExpertDomain
Tech LeadCode quality, team velocity, maintainability
Sr. Backend EngineerAPI design, DB performance, concurrency, latency
Sr. Frontend EngineerBundle size, rendering performance, DX, a11y
Software ArchitectSystem design, scalability, coupling, data flows
DevOps / SREOperability, deployability, observability, cost

Instructions

  1. Read the technical question or architecture decision to evaluate
  2. Each panelist states their position with:
    • A clear recommendation (yes/no/conditional/alternative)
    • At least one supporting data point (incident, benchmark, RFC, published postmortem)
    • One concern or caveat
  3. Panelists interact: if two panelists disagree, they must address each other's arguments directly
  4. Conclude with a panel consensus or a documented dissent

Output Format

## Tech Panel: <topic>

### Tech Lead
**Position:** …
**Evidence:** …
**Concern:** …

### Sr. Backend Engineer
**Position:** …
**Evidence:** …
**Concern:** …

### Sr. Frontend Engineer
**Position:** …
**Evidence:** …
**Concern:** …

### Software Architect
**Position:** …
**Evidence:** …
**Concern:** …

### DevOps / SRE
**Position:** …
**Evidence:** …
**Concern:** …

### Cross-Debate
<Panelist A> → <Panelist B>: …
…

### Panel Conclusion
**Consensus / Majority recommendation:** …
**Dissent (if any):** …
**Conditions for the recommendation:** …

Quality Gate

  • Every panelist must cite at least one real-world data point — no opinions without evidence
  • If a panelist's domain is not directly relevant to the question, they must explain why they still have a stake
  • Consensus requires ≥3/5 panelists; otherwise output DISSENT with open questions

Do not use this skill when

  • The decision is purely business/product (use doncheli-debate instead)
  • The question has a clear industry standard answer (just cite the standard)

Frequently asked questions

What does the Doncheli Tech Panel AI skill do?

Convene a senior engineering expert panel to evaluate technical decisions. Activate when user mentions "tech panel", "technical discussion", "expert opinion", "architecture decision", "which technology", "should we use".

Why use Doncheli Tech Panel on TypingMind?

Because you install it once and use it with any model. Doncheli Tech Panel 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 Doncheli Tech Panel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doncheli/don-cheli-sdd/tree/main/.agent/skills/doncheli-tech-panel. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Doncheli Tech Panel?

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 Doncheli Tech Panel?

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

Is the Doncheli Tech Panel AI skill free?

Yes. It is published on GitHub by doncheli under the Apache-2.0 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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