dev-swarm-code-development

dev-swarm-code-development is a skill for Claude Code, Codex from X-School-Academy/skill-pilot. It costs 44 tokens per session (3,226 once invoked), scanned A, original, MIT.

A backlog implementation workflow for turning product requirements into working code and project documentation. It reads requirements, technical rules, sprint items, and existing feature records before making changes.

In plain words
What is it for?
Use it to implement features, changes, bug fixes, and improvements from a sprint backlog. It can also update the project's feature knowledge base.
Why use it?
It gives feature work a consistent path from an approved task to an implemented and documented result. This reduces the risk of ignoring acceptance criteria or duplicating existing work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to implement features, changes, bug fixes, and improvements from a sprint backlog. It can also update the project's feature knowledge base.

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Install with agentmods
npx agentmods add skills/x-school-academy/skill-pilot/dev-swarm-code-development
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.

Any agent
npx skills add X-School-Academy/skill-pilot --skill dev-swarm-code-development
Clone the repo
git clone --depth 1 https://github.com/X-School-Academy/skill-pilot

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dev-swarm-code-development

README.md
[![agentmods](https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/dev-swarm-code-development/github.svg)](https://agentmods.dev/skills/x-school-academy/skill-pilot/dev-swarm-code-development)
Your own site
<a href="https://agentmods.dev/skills/x-school-academy/skill-pilot/dev-swarm-code-development"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/dev-swarm-code-development/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dev-swarm-code-development

Your own site · 80×15
<a href="https://agentmods.dev/skills/x-school-academy/skill-pilot/dev-swarm-code-development"><img src="https://agentmods.dev/badge/skills/x-school-academy/skill-pilot/dev-swarm-code-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00044 $0.03226
Opus 5.5 $0.00018 $0.01290
Sonnet 5.5 $0.00009 $0.00645
Haiku 4.5 $0.00004 $0.00323

Measured 16d ago against content hash ea3562d15dcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dev-swarm-code-development 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 16d 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.

dev-swarm/skills/dev-swarm-code-development/SKILL.md · 363 lines

How it starts

The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Builder - Code Development

This skill implements backlogs through a structured feature-driven approach. As a Software Engineer expert, you'll read backlog requirements, reference existing features, design implementation approach, write code, and create comprehensive documentation for the features knowledge base.

When to Use This Skill

  • User asks to implement a backlog
  • User requests to complete a feature, change, bug fix, or improvement
  • User says "develop backlog X"
  • User wants to implement work from sprint
  • User asks to code a specific backlog item

Prerequisites

This skill requires:

  • 04-prd/ - Product Requirements Document (business requirements and acceptance criteria)
  • 07-tech-specs/ - Engineering standards and constraints
  • 10-sprints/ folder with active sprint and backlogs
  • features/ folder with features-index.md (existing features knowledge base)
  • Understanding of the backlog type: FEATURE, CHANGE, BUG, or IMPROVE

Feature-Driven Development Workflow

CRITICAL: This skill follows a strict feature-driven approach where feature-name is the index for the entire project:

For Each Backlog:

  1. Read backlog from 10-sprints/SPRINT-XX-descriptive-name/[BACKLOG_TYPE]-XX-[feature-name]-<sub-feature>.md
  2. Extract the feature-name from the backlog file name
  3. Read features/features-index.md to find the feature file
  4. Read feature documentation in this order:
    • features/[feature-name].md - Feature definition (WHAT/WHY/SCOPE)
    • features/flows/[feature-name].md - User flows and process flows (if exists)
    • features/contracts/[feature-name].md - API/data contracts (if exists)
    • features/impl/[feature-name].md - Implementation notes (if exists)
  5. Locate source code at {SRC}/ using features/impl/[feature-name].md
  6. Implement the code following 07-tech-specs/
  7. Update backlog with development notes

This approach ensures AI developers can work on large projects without reading all code at once.

Read the full file on GitHub · 363 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. 16d ago First seen · 363 lines · 44 tokens per session scan A ea3562d15dcd

Subscribe to this mod's changes

dev-swarm-code-development is a skill published in the GitHub repository X-School-Academy/skill-pilot (20 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 3,226 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-02.