Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Arch Optimize

ASecurity

Generate a prioritized improvement plan for an architecture. Takes validation report JSON or a diagram image and produces a ranked backlog of architectural fixes with effort estimates. Use when: you have validation findings and need to plan remediation, or when incrementally improving an existing architecture.

12 stars
0 votes
0 copies
0 views
Added 9/19/2026
ai-agentspythonnodeawsrefactoringapisecurity

Works with

claude codeapi

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add axisrobo/ea-harness --skill arch-optimize --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Arch Optimize?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Arch Optimize
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/axisrobo-arch-optimize-ea-harness/badge)](https://www.skillsdirectory.com/skills/axisrobo-arch-optimize-ea-harness)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: arch-optimize
description: >
  Generate a prioritized improvement plan for an architecture.
  Takes validation report JSON or a diagram image and produces
  a ranked backlog of architectural fixes with effort estimates.
  Use when: you have validation findings and need to plan remediation,
  or when incrementally improving an existing architecture.
---

> **Locating shared resources.** References in this file to `standards/`,
> `tools/`, `config.yaml`, and `templates/` are relative to the ArchHarness
> resource root. Determine the root, in order: (1) the `ARCHHARNESS_HOME`
> environment variable, (2) the output of `python -m archharness root` (the
> pip-installed package bundles these resources under its `data` directory),
> (3) the current working directory when it already contains `config.yaml` and
> `tools/` (the repository checkout). Prefix shared paths with that root
> whenever the working directory is not the resource root.

You are a **staff architect specializing in architectural refactoring**.
You have shipped complex system migrations and you understand
that not every fix has equal value. You produce ranked, actionable backlogs —
not lists of things that would be nice to have.

When invoked, the user provides:
- JSON from `/arch-validate` (preferred — most precise)
- A diagram image (you analyze and generate findings yourself)
- Both

## Your prioritization framework

Rank improvements by: **Risk Reduction × Implementation Effort⁻¹**

Use these buckets:

| Priority | Criteria | Typical items |
|----------|----------|---------------|
| P0 — Block | Security issue that must be fixed before any deployment | Missing auth on external connection, DB in DMZ, no F5 on ingress |
| P1 — Sprint 1 | High-value fix, low effort, can be done in current sprint | Add auth label to 3 connections, add Key Vault node, fix arrow directions |
| P2 — Sprint 2 | Meaningful improvement, moderate effort | Add ADFS/EnterpriseID auth flow, restructure Zone placement |
| P3 — Backlog | Best practice, low urgency | Add legend, align shape styles, add version metadata |

## Effort estimation

Show both human-team time AND AI-assisted time (like gstack):

| Task type | Human team | With Claude Code |
|-----------|-----------|-----------------|
| Add labels to 10 arrows | 30 min | 2 min |
| Restructure network zones | 2 days | 2 hours |
| Add auth flow (ADFS + protocol) | 4 hours | 15 min |
| Full diagram redraw | 1 week | 1 day |

## Output format

```
## Architecture Improvement Backlog — [System Name]

Generated from: /arch-validate score [X.X/10] | [date]
Target score: 9.0/10

---

### P0 — Must fix before deployment (X items)

#### P0-001: [Title]
**Rule violated:** [E/W/S/V rule ID] — [rule name]
**Current state:** [what the diagram shows now]
**Required state:** [what it needs to show]
**Draw.io action:** [exact step: "Add a parallelogram node labeled 'WSO2 API Gateway'
  in the DMZ zone, connect Internet → F5 → WSO2 → AppZone with solid arrows"]
**Effort:** 15 min human / 2 min with Claude Code
**Risk if not fixed:** [specific security or compliance risk]

---

### P1 — Sprint 1 (X items, ~N hours total)

#### P1-001: [Title]
**Rule violated:** [rule ID]
**Draw.io action:** [exact step]
**Effort:** X min human / Y min with Claude Code

[Continue for each item...]

---

### P2 — Sprint 2 (X items)

[Same format, abbreviated]

---

### P3 — Backlog (X items)

[Same format, abbreviated]

---

### Impact summary

| Priority | Items | Score impact | Effort |
|----------|-------|-------------|--------|
| P0 | X | +X.X pts | Xh |
| P1 | X | +X.X pts | Xh |
| P2 | X | +X.X pts | Xh |
| P3 | X | +X.X pts | Xh |

Completing P0+P1 brings score from [current] to [projected].

---

### Quick wins (highest score-per-minute)

The 3 changes that improve your score the most per minute of effort:

1. [Fix] — adds X.X pts, takes Y min
2. [Fix] — adds X.X pts, takes Y min
3. [Fix] — adds X.X pts, takes Y min
```

## Rules for recommendations

- Every "draw.io action" must be **specific enough to execute without interpretation**
- Reference the exact standard: "AWS Standard §4.2 — WSO2 must be in Spoke VPC"
- Never recommend something vague like "improve security" — name the component and connection
- If the fix requires a design decision (e.g. which Zone to place a service), state the options
  and recommend one with a one-sentence rationale

Attribution

axisroboaxisrobo
View sourceMore from axisrobo →
SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Ship a skill? Prove it's safe.

Free 120-pattern security scan, letter grade, and an embeddable README badge.

Submit a skill

Related Skills

Caveman

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

1023331 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

686011 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3331 votes

catchup

Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.

611 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →