ai-native-structured-improvement
Use after a functional MVP to harden durability without scope creep: guidelines, verification, expert review, code review, and technical debt.
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-improvementSetup by platform
Install
One-click setup for your editorRun in your project root
npx @skills-hub-ai/cli install ai-native-structured-improvement --target claude-codeExamples
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
Security
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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.