Agent skill

Architecture Review

by sickn33 in sickn33/agentic-awesome-skills

Review repository architecture using Ontoly Software Graph and MCP capabilities.

AGPL-3.0-onlyAuto-check passedDevelopment

Install Architecture Review

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill architecture-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills architecture-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/architecture-review .claude/skills/architecture-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
architecture-review
GitHub stars
47k
Used in
1 other repo
Token cost
~613 tokens
SKILL.md length
183 words
Files
10
Skills in repo
1,497
Repo updated
First seen
Licence
AGPL-3.0-only

At a glance

Review repository architecture using Ontoly Software Graph and MCP capabilities.

  • Asked to explain architecture
  • SKILL.md covers When to Use, Required Workflow, Ontoly Capabilities and Output Contract, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Module boundaries

What it does

Architecture Review is an agent skill from sickn33/agentic-awesome-skills. Review repository architecture using Ontoly Software Graph and MCP capabilities. Use when asked to explain architecture, module boundaries, package topology, service ownership, or architectural risk.

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files (for example `README.md`, `examples.md` and `reference/best-practices.md`). Compatibility notes: Portable Agent Skills format; requires Ontoly CLI and MCP-capable or CLI-capable coding agent.

It sits in Development, covering Software architecture. It works with Model Context Protocol. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is AGPL-3.0-only.

When your agent uses it

  • Asked to explain architecture
  • Module boundaries
  • Package topology
  • Service ownership

Example prompts

  • “/architecture-review”

Requirements

  • Compatibility (from SKILL.md): Portable Agent Skills format; requires Ontoly CLI and MCP-capable or CLI-capable coding agent.

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • ontoly.xyz
    • skills.sh

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Portable Agent Skills format; requires Ontoly CLI and MCP-capable or CLI-capable coding agent.

    From compatibility in the SKILL.md frontmatter.

Context cost

Architecture Review loads about 613 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~613

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit b84d35a, republished under its AGPL-3.0-only licence (© sickn33). 183 words, ~613 tokens.

Download SKILL.mdSave it as .claude/skills/architecture-review/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
architecture-review
description
Review repository architecture using Ontoly Software Graph and MCP capabilities. Use when asked to explain architecture, module boundaries, package topology, service ownership, or architectural risk.
compatibility
Portable Agent Skills format; requires Ontoly CLI and MCP-capable or CLI-capable coding agent.
license
AGPL-3.0-only
metadata.ontoly.skill.version
1.3.3
metadata.ontoly.min.version
1.3.3
metadata.ontoly.capabilities
ExplainArchitecture, GraphStatistics, FindCycles, FindDependencies, EvidencePack
metadata.ontoly.category
architecture
metadata.ontoly.enhancement
LLM Enhancement
metadata.ontoly.deprecated
false
source_repo
0xsarwagya/ontoly
source_type
community
source
community

When to Use

  • Use when this upstream workflow matches the user's stated goal.
  • Use when the task requires the procedures documented in this skill.

Architecture Review

Use this skill when the user asks for architecture review using Ontoly evidence.

Required Workflow

Follow [the shared Ontoly workflow. Also read [graph evidence rules, [MCP usage, [best practices, and [fallback rules when the task requires detail.

Ontoly Capabilities

Use these capabilities first: ExplainArchitecture, GraphStatistics, FindCycles, FindDependencies, EvidencePack.

Output Contract

Return:

  • answer or plan
  • capabilities invoked
  • graph evidence with node ids, edge types, source spans, and graph hash when available
  • confidence: high, medium, or low
  • fallback reason if repository files were inspected

Boundaries

Do not implement compiler, query, MCP, SDK, or business logic in the skill. Do not search repository files until Ontoly cannot answer or evidence must be confirmed.

Resources

  • [Examples
  • [Prompt template
  • [Capability notes

Learn more

Examples

text
User: Apply this skill to my current task.
Assistant: Follow the workflow in this skill, cite limitations, and ask before risky steps.

Limitations

  • Imported upstream skill; verify credentials, permissions, and safety boundaries before execution.
  • Does not replace environment-specific validation, testing, or maintainer review.

© sickn33, AGPL-3.0-only. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files in skills/architecture-review of sickn33/agentic-awesome-skills.

  • SKILL.md
  • README.md
  • examples.md
  • reference/best-practices.md
  • reference/capabilities.md
  • reference/fallbacks.md
  • reference/graph.md
  • reference/mcp.md
  • reference/workflow.md
  • templates/architecture-review.md

Open the folder on GitHubat commit b84d35a

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Architecture Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Architecture Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Architecture Review this skillsickn33/agentic-awesome-skills47k1 repos~613Automated safety check: PassAGPL-3.0-only
GitDiagram Repository Overviewahmedkhaleel2004/gitdiagram18k—~427Automated safety check: PassMIT
Ontoly Software Graphanbeime/skill7.8k—~801Automated safety check: PassNone
Apex Microsoft Docsjonathan-vella/apex217—~966Automated safety check: PassMIT
Qmdbreferrari/obsidian-mind5k—~1.7kAutomated safety check: PassMIT
Agent Memory MCPdavila7/claude-code-templates33k7 repos~526Automated safety check: PassMIT

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Categories

Questions about Architecture Review

What does Architecture Review do?

Review repository architecture using Ontoly Software Graph and MCP capabilities. Architecture Review is an agent skill from sickn33/agentic-awesome-skills. Review repository architecture using Ontoly Software Graph and MCP capabilities.

When should I use Architecture Review?

Architecture Review fits situations like: asked to explain architecture; module boundaries; package topology; service ownership.

How do I install Architecture Review in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill architecture-review -a claude-code`. Or copy the skill folder (skills/architecture-review in sickn33/agentic-awesome-skills) into .claude/skills/architecture-review in your project. Claude Code loads it when a task matches its description.

How do I install Architecture Review in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill architecture-review -a codex`. Or copy the skill folder (skills/architecture-review in sickn33/agentic-awesome-skills) into .agents/skills/architecture-review in your project. Codex loads it when a task matches its description.

Can I use Architecture Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill architecture-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/architecture-review, .gemini/skills/architecture-review, .github/skills/architecture-review and .opencode/skills/architecture-review in your project.

What does Architecture Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Architecture Review is instructions for the agent only. Compatibility (from SKILL.md): Portable Agent Skills format; requires Ontoly CLI and MCP-capable or CLI-capable coding agent..

Does Architecture Review access the network?

SKILL.md names 2 domains. As links in the text: ontoly.xyz and skills.sh. This is read from the text; nothing was executed.

Is Architecture Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Architecture Review use?

Architecture Review is published under the AGPL-3.0-only licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Architecture Review use?

About 613 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Architecture Review?

Skills that share tags, products or a category with Architecture Review: GitDiagram Repository Overview (ahmedkhaleel2004/gitdiagram, 18k stars), Ontoly Software Graph (anbeime/skill, 7.8k stars), Apex Microsoft Docs (jonathan-vella/apex, 217 stars) and Qmd (breferrari/obsidian-mind, 5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Architecture Review?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.