batch-feature-dev

A workflow for handling several Jira tickets as one coordinated development batch, with each ticket delivered as a separate, reviewable pull request.

In plain words
What is it for?
Use it to turn multiple Jira requests into scoped feature work, including shared analysis, ticket-by-ticket development, tests, and draft pull requests.
Why use it?
It removes the need to plan dependencies, branching, testing, changesets, and pull requests separately for every ticket.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/ledgerhq/ledger-live/batch-feature-dev
Any agent
npx skills add LedgerHQ/ledger-live --skill batch-feature-dev
Clone the repo
git clone --depth 1 https://github.com/LedgerHQ/ledger-live

Made for: Claude Code, Codex.

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 476 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00052 $0.00476
Opus 5 $0.00026 $0.00238
Sonnet 5 $0.00010 $0.00095
Haiku 4.5 $0.00005 $0.00048

Measured 3d ago against content hash 5c877a6fad49, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

batch-feature-dev scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/batch-feature-dev/SKILL.md · 33 lines

What it actually says

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

  1. Intake every Jira ticket link, description, attachment, mockup, and constraint. Fetch details with available Jira/Atlassian tools; ask if anything is inaccessible.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 33 lines · 52 tokens per session scan A 5c877a6fad49

Subscribe to this mod's changes

batch-feature-dev is a skill published in the GitHub repository LedgerHQ/ledger-live (614 stars, last pushed 3d ago), licensed MIT. It adds 52 tokens to every session and 476 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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