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Agent Skill

Azure Role Selector skill

azure-role-selectorgithub/awesome-copilotskills/azure-role-selector/SKILL.md

When user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.

40kMIT

always on

45 tokname + description

once used

118 tokSKILL.md body

bundled files

11 KB

repo stars

40kGitHub

Install the Azure Role Selector skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/github/awesome-copilot --skill azure-role-selector

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p ~/.claude/skills
cp -R /tmp/awesome-copilot/skills/azure-role-selector ~/.claude/skills/azure-role-selector

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description45 tok
When the agent uses itThe SKILL.md instructions118 tok
Only if opened1 bundled files (1 KB)varies

Until it is used, azure-role-selector costs about 30× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 150 skills from github/awesome-copilot would load 9,863 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Pre-approved tools (allowed-tools): Azure, MCP/documentation, Azure, MCP/bicepschema, Azure, MCP/extension_cli_generate, Azure, MCP/get_bestpractices. The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

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    Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.

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  2. acreadiness-assessgithub/awesome-copilot

    Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

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  3. acreadiness-generate-instructionsgithub/awesome-copilot

    Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

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    Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

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  5. ad-campaign-analyzergithub/awesome-copilot

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  6. add-educational-commentsgithub/awesome-copilot

    Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

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  7. adobe-illustrator-scriptinggithub/awesome-copilot

    Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.

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