Skip to main content

ai-native-structured-improvement

Use after a functional MVP to harden durability without scope creep: guidelines, verification, expert review, code review, and technical debt.

v0.1.0New
0

Signing

SignedSLSA L2
Signed by
skills-hub.ai distributor
Method
Distributor-signed by skills-hub.aiCryptographically signed by the skills-hub.ai distributor key at publish time.
Signed

Install this skill

Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install ai-native-structured-improvement
Or download directly:
Browse all CLI commands →

Setup by platform

Claude Code

~/.claude/skills/<skill>/SKILL.md

Setup guide →

Cursor

~/.cursor/skills/<skill>/SKILL.md

Setup guide →

Codex CLI

~/.codex/skills/<skill>/SKILL.md, or reference via codex.md instructions file

Setup guide →

Install

One-click setup for your editor

Run in your project root

npx @skills-hub-ai/cli install ai-native-structured-improvement --target claude-code

Examples

Prompt

Our MVP is stable, but I want to ensure long-term durability. Can you review our code and suggest improvements?

Output

Certainly. I'll analyze the current codebase, verify existing tests, and identify any architectural or behavioral risks. I'll generate project-specific guidelines in `docs/project-guidelines.md`, recommend test enhancements around critical paths, and perform targeted expert reviews focusing on maintainability and security. Finally, I'll compile a technical debt roadmap in `docs/technical-debt.md` to prioritize future improvements, ensuring system robustness without scope expansion.

Prompt

We've made some changes on a feature branch; please review for potential risks and adherence to our guidelines before merging.

Output

I'll compare the branch against main, focusing on logical correctness, behavioral consistency, and architectural compliance. I'll identify any issues like performance regressions or guideline violations, explain their risks, and suggest necessary corrective actions. I won't rewrite code but will highlight critical areas needing attention. After review, I'll update the technical debt list to address any identified risks and ensure the system's durability before merging.

Instructions

This skill doesn’t include stateful context yet, instructions only. Learn about stateful skills.

Security

Loading security scan...

Reviews (0)

Browse all

More Review skills

Browse category
code-reviewThorough code review — checks correctness, security, performance, readability, and test coverage. Gives actionable feedback ranked by severity.87 installssecurity-reviewSecurity audit and vulnerability assessment for any codebase. Scans for authentication bypasses, missing auth middleware, broken JWT validation (algorithm confusion, weak secrets, missing expiry), OAuth state and PKCE flaws, IDOR and horizontal privilege escalation, vertical privilege escalation via role manipulation, SQL injection, NoSQL injection, XSS (stored, reflected, DOM), command injection, path traversal, SSRF, CSRF, hardcoded secrets and API keys (sk_live_, AKIA, ghp_), .env and credential file exposure, PII leaking in logs and error responses, overfetching sensitive fields, CORS misconfiguration, session fixation, missing secure/httpOnly/sameSite cookie flags, and Firebase/Firestore rule weaknesses. Produces a severity-ranked findings report with exploit scenarios and fix recommendations. Covers OWASP Top 10.15 installsrefactorSystematic code refactoring — extract functions, reduce complexity, eliminate duplication, improve naming, and split large files. Preserves behavior with tests.12 installsapi-reviewReview API design against REST best practices and internal consistency. Audits naming conventions, HTTP method semantics, status code correctness, pagination and filtering patterns, error response format, versioning strategy, rate limiting, idempotency keys, HATEOAS links, and content negotiation. Works with Express, Fastify, Hono, Flask, Django REST, Spring, Rails, Gin, and any HTTP API framework. Use when you need to review an API, audit REST endpoints, check API consistency, fix HTTP status codes, add pagination, or prepare an API for public release.6 installsarch-reviewArchitect-level story review with component reuse, domain consistency, data privacy, service architecture, and infrastructure checks. Design review before coding or implementation validation after.5 installssecurity-auditScan a codebase for security vulnerabilities — OWASP Top 10, secrets in code, dependency CVEs, auth flaws, injection risks, and misconfigurations. Fixes what it finds.5 installs

Frequently asked questions about ai-native-structured-improvement

What does the ai-native-structured-improvement skill do?

Use after a functional MVP to harden durability without scope creep: guidelines, verification, expert review, code review, and technical debt. It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

How do I install the ai-native-structured-improvement skill?

Run `npx @skills-hub-ai/cli install ai-native-structured-improvement` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/ai-native-structured-improvement/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does ai-native-structured-improvement work with?

ai-native-structured-improvement runs in Claude Code, Cursor, Codex CLI. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the ai-native-structured-improvement skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use ai-native-structured-improvement after installing it?

In Claude Code, type `/ai-native-structured-improvement` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the ai-native-structured-improvement skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.