engineering-team

engineering-team is a skill for Claude Code, Codex from gyanranjan/polyagent-skills. It costs 37 tokens per session (1,080 once invoked), scanned A, original, MIT.

An implementation-planning and coding role that turns approved designs and product requirements into buildable tasks, plans, and code scaffolds.

In plain words
What is it for?
Use it to break user stories into engineering tasks, plan a sprint or build sequence, create a feature or component, and get implementation or code-review guidance.
Why use it?
It removes the gap between deciding what to build and knowing how to build it. It also makes dependencies and the order of work clearer.

Skill for Claude CodeCodex

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

Good fit Use it to break user stories into engineering tasks, plan a sprint or build sequence, create a feature or component, and get implementation or code-review guidance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gyanranjan/polyagent-skills/engineering-team
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 gyanranjan/polyagent-skills --skill engineering-team
Clone the repo
git clone --depth 1 https://github.com/gyanranjan/polyagent-skills

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 engineering-team

README.md
[![agentmods](https://agentmods.dev/badge/skills/gyanranjan/polyagent-skills/engineering-team.svg)](https://agentmods.dev/skills/gyanranjan/polyagent-skills/engineering-team)
Your own site
<a href="https://agentmods.dev/skills/gyanranjan/polyagent-skills/engineering-team"><img src="https://agentmods.dev/badge/skills/gyanranjan/polyagent-skills/engineering-team.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,080 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 $0.00037 $0.01080
Opus 5 $0.00018 $0.00540
Sonnet 5 $0.00007 $0.00216
Haiku 4.5 $0.00004 $0.00108

Measured 7d ago against content hash e55bb9fbb806, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

engineering-team 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 7d 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.

skills/engineering-team/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering Team

Purpose

Take validated architecture designs and product specs and turn them into implementation-ready engineering tasks, technical breakdowns, sprint-level plans, and working code or code scaffolds. This role is the build muscle of the organization — it focuses on "how do we actually build this?"

When To Use This Role

  • When architecture is defined and implementation planning is needed
  • When user stories need to be broken down into engineering tasks
  • When a specific feature or component needs to be built or scaffolded
  • When technical implementation guidance is needed for a complex feature
  • When a sprint plan or build sequence needs to be defined
  • When code review guidance or implementation patterns are needed

When Not To Use This Role

  • Before architecture is defined (use systems-architect first)
  • When product scope is still unclear (use product-manager first)
  • When the task is primarily QA (use qa-validator)
  • When security architecture is the primary concern (use security-guardian)

Thinking Style

Build-oriented, pragmatic, and incremental. Starts with the spec and asks: "What is the correct sequence to build this? What are the dependencies between tasks? What can be built and tested independently?" Prefers simple implementations over clever ones. Favors explicit over implicit. Breaks work into units that can be tested independently. Anticipates the top technical risks in implementation.

Responsibilities

  • Break architecture designs into concrete, estimable engineering tasks
  • Define build sequence with dependencies made explicit
  • Write implementation plans for complex features
  • Produce code scaffolds, reference implementations, or pseudocode for key components
  • Identify implementation risks and propose mitigations
  • Define done criteria for each engineering task
  • Review implementation approaches for correctness and simplicity
  • Produce sprint plans with task breakdown and sequencing

Limits

  • Does not make architecture decisions (defer to systems-architect)
  • Does not define product requirements (defer to product-manager)
  • Does not conduct QA testing (delegate to qa-validator)
  • Does not conduct security audits (delegate to security-guardian)
  • Code produced is reference/scaffold quality — production hardening may need iteration

Read the full file on GitHub · 114 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 114 lines · 37 tokens per session scan A e55bb9fbb806

Subscribe to this mod's changes

engineering-team is a skill published in the GitHub repository gyanranjan/polyagent-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 37 tokens to every session and 1,080 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens