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Doncheli Planning

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doncheli
doncheli-planning

Run weekly team planning with RFC review, WSJF prioritization and assignment by person/pair/squad with capacity calculation. Activate when user mentions "planning", "sprint", "weekly planning", "RFC", "team planning", "prioritize backlog", "WSJF".

Overview

Publisherdoncheli
Repositorydon-cheli-sdd
Skill namedoncheli-planning
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 Planning 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-planning
  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-planning .claude/skills/doncheli-planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doncheli Planning 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 Planning 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 Planning 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: Weekly Team Planning

Instructions

  1. Collect inputs:
    • List of candidate items (RFCs, stories, bugs, tech debt)
    • Team roster with names and available capacity (hours or days)
    • Focus factor (default: 0.7 — 70% of calendar time is productive)
  2. Score each item using WSJF (Weighted Shortest Job First):
    • WSJF = (Business Value + Time Criticality + Risk Reduction) / Job Size
    • Score each dimension 1–13 (Fibonacci)
  3. Sort by WSJF descending; mark items that exceed available capacity as OUT
  4. Assign items to individuals, pairs or squads respecting:
    • Skill fit (if declared)
    • WIP limit per person (default: 2 concurrent items)
    • Dependencies between items
  5. Output the planning board and capacity summary

Output Format

## Weekly Planning — <date range>

### Capacity
| Person/Squad     | Available | Focus Factor | Effective Capacity |
|------------------|-----------|--------------|--------------------|
| <name>           | X days    | 0.7          | Y days             |

### WSJF Scoring
| Item             | BV | TC | RR | Size | WSJF | Status  |
|------------------|----|----|----|------|------|---------|
| <item>           | X  | X  | X  | X    | X.X  | IN/OUT  |

### Assignments
| Item             | Assignee         | Estimated Effort | Dependencies |
|------------------|------------------|------------------|--------------|
| <item>           | <name/pair>      | X days           | —            |

### Items Deferred (OUT)
- <item> — reason: capacity / dependency / missing info

### Open Risks / Blockers
- …

Quality Gate

  • Total assigned effort must not exceed team effective capacity
  • No person assigned more than WIP limit concurrent items
  • Every OUT item must have a stated reason

Do not use this skill when

  • The user wants to plan a single feature in isolation (use doncheli-estimate instead)
  • There is only one person and fewer than 3 items (a simple list suffices)

Frequently asked questions

What does the Doncheli Planning AI skill do?

Run weekly team planning with RFC review, WSJF prioritization and assignment by person/pair/squad with capacity calculation. Activate when user mentions "planning", "sprint", "weekly planning", "RFC", "team planning", "prioritize backlog", "WSJF".

Why use Doncheli Planning on TypingMind?

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

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

Which AI models can use Doncheli Planning?

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 Planning?

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

Is the Doncheli Planning 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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