What is amazonq-customization?

A guide for steering Amazon Q Developer with Markdown rule files, custom command-line agents, and MCP settings. Amazon Q Developer is an AI coding assistant from Amazon.

Use it to create or reorganize `.amazonq/rules/`, write specialized Q command-line agents, and maintain project guidance for both the editor and command line.

It helps when Q ignores project rules or produces weaker results as the rules library grows.

amazonq-customization — Skill by navendubrajesh

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 navendubrajesh/context-management-for-agents --skill amazonq-customization

Clone the repo

git clone --depth 1 https://github.com/navendubrajesh/context-management-for-agents

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-customization/github.svg)](https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-customization)

Your own site

<a href="https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-customization"><img src="https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-customization/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/navendubrajesh/context-management-for-agents/amazonq-customization"><img src="https://agentmods.dev/badge/skills/navendubrajesh/context-management-for-agents/amazonq-customization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,034 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.

Model	Per session	Once invoked
Fable 5.1	$0.00087	$0.01034
Opus 5.5	$0.00035	$0.00414
Sonnet 5.5	$0.00017	$0.00207
Haiku 4.5	$0.00009	$0.00103

Measured 2mo ago against content hash 2d35e74cf603, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

amazonq-customization 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.

skills/amazonq-customization/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Amazon Q Customization

Amazon Q Developer's primary steering surface is .amazonq/rules/ — markdown files (optionally nested) loaded automatically into chat context. The Q CLI supports custom agents and AmazonQ.md scaffolds. This skill covers authoring rules with token budgeting and organizing them for IDE and CLI consistency.

When to Activate

Activate this skill when:

Creating or restructuring .amazonq/rules/ for IDE or CLI
Organizing rules into subdirectories by domain (frontend, infra, security)
Writing custom CLI agent definitions for specialized workflows
Q ignores coding standards or applies backend rules to frontend work
Responses degrade after the rules library grows

Do not activate this skill for adjacent work owned by other skills:

Do not activate for /context show token auditing: amazonq-context-architecture.
Do not activate for /compact and session lifecycle: amazonq-session-management.
Do not activate for platform-agnostic instruction theory: context-fundamentals.
Do not activate for MCP tool schema design: tool-design.

Core Concepts

Rule file format

Rules are plain markdown in .amazonq/rules/. No required frontmatter — content is the instruction. Use descriptive filenames (cdk-rules.md, frontend-react.rule.md) for human maintenance; Q loads all .md files regardless of name.

Organize with subdirectories:

.amazonq/rules/
  1.project-layout-rules.md
  2.project-spec.md
  frontend/react.rule.md
  infra/cdk.rule.md

Numeric prefixes can enforce human reading order; Q loads all matches.

IDE session toggles

Developers can enable/disable individual rules per chat session via the Rules button. Write rules assuming they may be toggled off — critical invariants should also be enforced by linters/CI.

AmazonQ.md scaffold

Optional root-level AmazonQ.md (or similar) provides project scaffold context alongside README. CLI glob patterns often include it by default — keep concise, behavior-focused.

Read the full file on GitHub · 89 lines

Files

What ships with it

1 file 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.

references/amazonq-rules-authoring.md 1.4 KB

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.

2mo ago First seen · 89 lines · 87 tokens per session scan A 2d35e74cf603

Subscribe to this mod's changes

amazonq-customization is a skill published in the GitHub repository navendubrajesh/context-management-for-agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 1,034 once invoked, about $0.0003 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.

Building agents

amazonq-customization next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
amazonq-customizationnavendubrajesh/context-management-for-agents	Skill	2	1mo ago	MIT	A	87	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code