dev-lifecycle

A command that guides a software feature through planning, coding, testing, review, pull-request creation, CI verification, demonstration, and merging. A pull request is a proposed change submitted for review, and CI automatically checks code changes.

In plain words
What is it for?
Use it to understand a project, plan and implement a feature, run tests, prepare and review a pull request, verify CI, demonstrate the result for QA, merge it, and clean up.
Why use it?
It keeps the full path from feature request to merged code in one repeatable process, including quality checks and cleanup.

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/ericboehs/claude-plugins/dev-lifecycle
Any agent
npx skills add ericboehs/claude-plugins --skill dev-lifecycle
Clone the repo
git clone --depth 1 https://github.com/ericboehs/claude-plugins

Made for: Claude Code, Codex.

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,643 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 $0.00063 $0.03643
Opus 5 $0.00032 $0.01821
Sonnet 5 $0.00013 $0.00729
Haiku 4.5 $0.00006 $0.00364

Measured yesterday against content hash d96910071738, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dev-lifecycle 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 yesterday.

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.

plugins/dev-lifecycle/skills/dev-lifecycle/SKILL.md · 414 lines

How it starts

The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dev Lifecycle

End-to-end feature development: plan, implement, test, validate, review, PR, verify CI, QA demo, merge, and clean up.

Feature request: "$ARGUMENTS"

If $ARGUMENTS is empty, ask the user what feature to implement before proceeding.

Phase 1: Understand the project

Before writing any code, understand the project conventions:

  1. Read the project's CLAUDE.md (if present) for architecture, testing, linting, and commit conventions.
  2. Check for a bin/ci script or equivalent CI pipeline to understand quality gates.
  3. Note any coverage thresholds, linter configurations (.rubocop.yml, .reek.yml, eslint.config.*, etc.), and testing frameworks.
  4. Identify the default branch:
    DEFAULT_BRANCH=$(git remote show origin | sed -n 's/.*HEAD branch: //p')
    

Phase 2: Plan

Think through the implementation before writing code:

  1. Identify which files need to change and which new files are needed.
  2. Consider edge cases, backward compatibility, and test coverage.
  3. Draft a brief plan (3-7 bullet points) of what you'll implement.
  4. Present the plan to the user and wait for approval before proceeding. Use AskUserQuestion with the plan summary.

If the user provides specific instructions (e.g., coverage thresholds, linting rules), note them as hard requirements for later validation.

Phase 3: Create a branch

# Ensure we're on the default branch and up to date
git checkout $DEFAULT_BRANCH
git pull

# Create a feature branch
# Use conventional branch naming: feat/, fix/, refactor/, etc.
git checkout -b <branch-name>

Parse --branch NAME from arguments if provided. Otherwise, derive a branch name from the feature description using conventional prefixes (e.g., feat/per-heartbeat-model, fix/session-timeout).

Phase 4: Implement

Write the code and tests:

  1. Code changes — implement the feature, following project conventions from CLAUDE.md.
  2. Tests — write tests for the new functionality. Match the project's testing framework and style.
  3. Documentation — update inline docs, README sections, or CLAUDE.md if the feature changes architecture or public interfaces. Only add docs that are necessary — don't create new markdown files unless explicitly requested.

Read the full file on GitHub · 414 lines

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. yesterday First seen · 414 lines · 63 tokens per session scan A d96910071738

Subscribe to this mod's changes

dev-lifecycle is a skill published in the GitHub repository ericboehs/claude-plugins (2 stars, last pushed 8d ago), licensed MIT. It adds 63 tokens to every session and 3,643 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 2026-08-31.

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