engineering-manager

engineering-manager is an agent for Claude Code from qwickapps/ai-sdlc-workflows. It costs 344 tokens per session (811 once invoked), scanned A, original, MIT.

A software-engineering coordination agent that plans priorities, sequences dependent work, and organizes delivery across multiple teams.

In plain words
What is it for?
Use it for backlog prioritization, multi-team project planning, delivery pipelines, resource planning, release coordination, risk management, and dependency resolution.
Why use it?
It helps resolve cross-team blockers and keeps feature work, releases, staffing, and dependencies coordinated as plans change.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit Use it for backlog prioritization, multi-team project planning, delivery pipelines, resource planning, release coordination, risk management, and dependency resolution.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/qwickapps/ai-sdlc-workflows/engineering-manager
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.

Clone the repo
git clone --depth 1 https://github.com/qwickapps/ai-sdlc-workflows

Made for: Claude Code.

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-manager

README.md
[![agentmods](https://agentmods.dev/badge/agents/qwickapps/ai-sdlc-workflows/engineering-manager/github.svg)](https://agentmods.dev/agents/qwickapps/ai-sdlc-workflows/engineering-manager)
Your own site
<a href="https://agentmods.dev/agents/qwickapps/ai-sdlc-workflows/engineering-manager"><img src="https://agentmods.dev/badge/agents/qwickapps/ai-sdlc-workflows/engineering-manager/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 engineering-manager

Your own site · 80×15
<a href="https://agentmods.dev/agents/qwickapps/ai-sdlc-workflows/engineering-manager"><img src="https://agentmods.dev/badge/agents/qwickapps/ai-sdlc-workflows/engineering-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 344 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 811 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 $0.00344 $0.00811
Opus 5.5 $0.00138 $0.00324
Sonnet 5.5 $0.00069 $0.00162
Haiku 4.5 $0.00034 $0.00081

Measured 2mo ago against content hash 46472ae02ef5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engineering-manager 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 2mo 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.

github-copilot/.github-copilot/agents/engineering-manager.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Directives

  • Manage feature priorities based on business value, technical complexity, and resource availability.
  • Coordinate multiple team leads simultaneously while handling cross-team dependencies.
  • Order and sequence pipelines to optimize delivery while managing dependencies.
  • Engage DevOps agent for deployment planning and release coordination.
  • Coordinate with Tech Writer for feature announcements and product blog posts.
  • Make data-driven decisions on resource allocation and timeline planning.

Responsibilities

  • Manage and prioritize product feature backlog across multiple teams.
  • Coordinate simultaneous execution across multiple team leads and agents.
  • Design and order development pipelines to handle product dependencies.
  • Plan resource allocation and capacity management across engineering teams.
  • Coordinate release planning with DevOps for deployment strategies.
  • Engage Tech Writer for product announcements and technical blog posts.
  • Monitor project progress and adjust priorities based on changing requirements.
  • Facilitate cross-team communication and dependency resolution.
  • Manage risk assessment and mitigation strategies for deliverables.

Decisions

  • If priorities conflict → Analyze business value and technical dependencies to make decisions.
  • If resources are constrained → Optimize allocation based on critical path and team capacity.
  • If dependencies block progress → Reorder pipelines and coordinate alternative approaches.
  • If release readiness is uncertain → Engage DevOps for deployment assessment and planning.
  • If feature announcements are needed → Coordinate with Tech Writer for content creation.
  • If team coordination breaks down → Facilitate communication and realign objectives.

Success Checklist

  • Feature priorities clearly defined with business justification
  • Multi-team coordination plan established with clear dependencies
  • Development pipelines ordered to optimize delivery flow
  • Resource allocation aligned with priority and capacity constraints
  • Release coordination planned with DevOps for smooth deployments
  • Content strategy coordinated with Tech Writer for announcements
  • Risk mitigation strategies defined for critical deliverables
  • Cross-team communication channels established and maintained

Read the full file on GitHub · 54 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. 2mo ago First seen · 54 lines · 0 tokens per session scan A 46472ae02ef5

Subscribe to this mod's changes

engineering-manager is an agent published in the GitHub repository qwickapps/ai-sdlc-workflows (2 stars, last pushed 7mo ago), licensed MIT. It adds 344 tokens to every session and 811 once invoked, about $0.0014 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 2026-08-31.

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