Batch Feature Dev

Organization

LedgerHQ

batch-feature-dev

Handle batches of Jira tickets through shared analysis, per-ticket feature-dev, Lumen UI guardrails, changesets, and draft PRs. Use when the user provides multiple Jira tickets or asks to deliver tickets one by one with PRs.

Overview

Publisher	LedgerHQ
Repository	`ledger-live`
Skill name	`batch-feature-dev`
Stars	622
Forks	491
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 LedgerHQ on GitHub. Read the source before you install it.

Installation

Install the Batch Feature Dev AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/LedgerHQ/ledger-live/tree/develop/.agents/skills/batch-feature-dev
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.

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/LedgerHQ/ledger-live.git /tmp/ledger-live
mkdir -p .claude/skills
cp -r /tmp/ledger-live/.agents/skills/batch-feature-dev .claude/skills/batch-feature-dev

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Batch Feature Dev 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 Batch Feature Dev 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 Batch Feature Dev 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.

Batch Feature Dev

Deliver ticket batches as coordinated PRs while keeping each ticket scoped and reviewable.

Load First

Read relevant skills before entering their phase:

feature-dev per ticket or coupled group.
git-conventions before branch, commit, rebase, or push work.
create-changeset before changesets; create-pr for draft PRs.
ldls-native or ldls-web before Lumen UI work.
mvvm-architecture before app feature code.
run-tests for validation.

Workflow

Intake every Jira ticket link, description, attachment, mockup, and constraint. Fetch details with available Jira/Atlassian tools; ask if anything is inaccessible.
Before coding, produce a compact matrix: id/link, area, UI impact, tests/screenshots, dependencies, shared work, blockers. Ask consolidated questions for missing mockups, conflicts, unclear copy, APIs, analytics, navigation, flags, and edge cases.
Branch via git-conventions. Start unrelated tickets from updated develop; chain only for real dependencies, target the previous branch, and state it in the PR. For shared groundwork, prefer one small foundation PR plus dependent PRs.
For each ticket/group, run full feature-dev. Treat tickets and mockups as source of truth; ask on conflicts; use Lumen components; add only English source translations; keep shared utilities owned and justified.
Validate affected scope with lint, relevant tests, typecheck, and screenshots or manual visual checks for UI. Add a changeset with exact package names; use create-pr for draft PR and Slack message.
Handoff each PR with ticket, branch, target, URL, changeset, validation results, screenshots/status, risks, and follow-ups. After the batch, summarize dependency graph and review order.

Stop When

Pause for missing ticket/mockup details, incompatible tickets, product/design decisions, meaningless validation, or changed chaining strategy.

Frequently asked questions

What does the Batch Feature Dev AI skill do?

Why use Batch Feature Dev on TypingMind?

Because you install it once and use it with any model. Batch Feature Dev 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 Batch Feature Dev in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LedgerHQ/ledger-live/tree/develop/.agents/skills/batch-feature-dev. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Batch Feature Dev?

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 Batch Feature Dev?

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

Is the Batch Feature Dev AI skill free?

Yes. It is published on GitHub by LedgerHQ under the MIT 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Batch Feature Dev

Load First

Workflow

Stop When

Frequently asked questions

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