Agent skill

Architecture Implementation Review

by sesori-ai in sesori-ai/sesori_apps_monorepo

Reviews architecture-bearing production changes, not general implementation correctness.

Custom licenceAuto-check passedDevelopment

Install Architecture Implementation Review

skills CLI
$ npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review -a claude-code

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

GitHub CLI
$ gh skill install sesori-ai/sesori_apps_monorepo architecture-implementation-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/sesori-ai/sesori_apps_monorepo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/architecture-implementation-review .claude/skills/architecture-implementation-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-implementation-review
GitHub stars
126
Token cost
~16k tokens
SKILL.md length
5,353 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
Custom licence

At a glance

Reviews architecture-bearing production changes, not general implementation correctness.

  • Works in 10 steps: Establish the requested scope first. For… → Decide whether the scope contains an… → Read every changed file. Do not rely on… → …
  • Tasks that involve Subagents
  • SKILL.md covers Architecture Only, Review Scope, Strictness Discipline and User Final Authority, plus 8 more sections
  • Calls git

What it does

Architecture Implementation Review is an agent skill from sesori-ai/sesori_apps_monorepo. Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after…

Its SKILL.md is about 16k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Subagents, Codebase knowledge for agents and Git workflow. It works with Git. The repository describes itself as: Sesori iOS/Android app and the Sesori Bridge CLI — drive Claude, Codex, OpenCode, Cursor, Pi, OMP, Hermes coding sessions from your phone.

When your agent uses it

  • Tasks that involve Subagents
  • Tasks that involve Codebase knowledge for agents
  • Tasks that involve Git workflow

Example prompts

  • “Use the architecture-implementation-review skill to review architecture-bearing production changes, not general implementation correctness”
  • “/architecture-implementation-review”

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

  1. Establish the requested scope first. For Git scopes, resolve boundary commits or branch/PR base and head, then derive the complete…
  2. Decide whether the scope contains an architecture-bearing production change as defined above. If not, emit NOT APPLICABLE and stop. Do not…
  3. Read every changed file. Do not rely on diffs alone. Read surrounding context, especially imports, constructors, and class declarations. A…
  4. Determine which workspaces are touched. Map changed files to client/, bridge/, or shared/sesori_shared/. State explicitly which Section B…
  5. Apply the matching Section B subsection for each touched workspace. Do not skip a subsection because an architecture-bearing change…
  6. Walk every rule in order. For each rule in Sections A and B, internally verify whether the code satisfies it. Only emit violations in the…
  7. For each non-trivial new class, check class-cohesion rules (A7, A8, A9, A10) explicitly. These rules do not show up in import paths; they…
  8. Use read-only Git commands to inspect scope, changed lines, and history. Use read, glob, and grep to verify current file context and…
  9. Self-audit before output. Before emitting, verify: (a) every changed file was reviewed, (b) every violation has a file:line reference, (c)…
  10. Emit output in the exact format specified below.

What it can do on your machine

Read from SKILL.md and the folder at commit 55c7d4c. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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.

Context cost

Architecture Implementation Review loads about 16k tokens when it runs. Until then it costs about 143 tokens; SKILL.md has 5,353 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~143
When it runs · the whole SKILL.md, loaded when a task matches
~16k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 5,353 words (~16,391 tokens).

“You are the strict architectural reviewer for the Sesori Apps Monorepo. You assess architecture-bearing production changes against the rules in this document.”

— opening of SKILL.md by sesori-ai, Custom licence
name
architecture-implementation-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/architecture-implementation-review of sesori-ai/sesori_apps_monorepo.

Open the folder on GitHubat commit 55c7d4c

Compare with similar skills

Architecture Implementation 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 Implementation Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Architecture Implementation Review this skillsesori-ai/sesori_apps_monorepo126—~16kAutomated safety check: PassCustom licence
PR Monitoring Loopelastic/terraform-provider-elasticstack210—~4.1kAutomated safety check: PassMIT
Git PR Workflows Git Workflowsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Commit Context Lookuprohitg00/agentmemory29k—~522Automated safety check: PassApache-2.0
Jevgrepdzhng/jevgrep2.5k—~741Automated safety check: PassMIT
Git Worktree IsolationjnMetaCode/superpowers-zh8.3k1 repos~982Automated safety check: PassMIT

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Works with

Questions about Architecture Implementation Review

What does Architecture Implementation Review do?

Reviews architecture-bearing production changes, not general implementation correctness. Architecture Implementation Review is an agent skill from sesori-ai/sesori_apps_monorepo. Reviews architecture-bearing production changes, not general implementation correctness.

When should I use Architecture Implementation Review?

Architecture Implementation Review fits situations like: tasks that involve Subagents; tasks that involve Codebase knowledge for agents; tasks that involve Git workflow.

How do I install Architecture Implementation Review in Claude Code?

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

How do I install Architecture Implementation Review in Codex?

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

Can I use Architecture Implementation 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 sesori-ai/sesori_apps_monorepo --skill architecture-implementation-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-implementation-review, .gemini/skills/architecture-implementation-review, .github/skills/architecture-implementation-review and .opencode/skills/architecture-implementation-review in your project.

What does Architecture Implementation Review need to run?

Going by SKILL.md and its folder, Architecture Implementation Review needs the command-line tools its instructions call (git).

Does Architecture Implementation Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Architecture Implementation 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 Implementation Review use?

Architecture Implementation Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Architecture Implementation Review use?

About 16k tokens (SKILL.md is roughly 66k 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 Implementation Review?

Skills that share tags, products or a category with Architecture Implementation Review: PR Monitoring Loop (elastic/terraform-provider-elasticstack, 210 stars), Git PR Workflows Git Workflow (sickn33/agentic-awesome-skills, 47k stars), Commit Context Lookup (rohitg00/agentmemory, 29k stars) and Jevgrep (dzhng/jevgrep, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Architecture Implementation Review?

sesori-ai (a GitHub organization) maintains it in sesori-ai/sesori_apps_monorepo, which has 126 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.

Source: sesori-ai/sesori_apps_monorepo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.