A guided process for improving existing software without changing what it is meant to do. It covers refactoring, performance, security, and user-interface improvements.

Use it to improve speed, security, usability, backend code, database queries, or maintainability, with routing to the relevant specialist guidance.

It requires the agent to check project notes, identify the specific problem, and preserve expected behavior and tests while making changes.

How VoTruongDanh/Skills-Agent configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to VoTruongDanh/Skills-Agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/VoTruongDanh/Skills-Agent/main/.agent/skills/enhance/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/VoTruongDanh/Skills-Agent

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/votruongdanh/skills-agent/enhance/github.svg)](https://agentmods.dev/skills/votruongdanh/skills-agent/enhance)

Your own site

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/enhance"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/enhance/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/enhance"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/enhance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 792 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00061	$0.00792
Opus 5.5	$0.00024	$0.00317
Sonnet 5.5	$0.00012	$0.00158
Haiku 4.5	$0.00006	$0.00079

Measured 2mo ago against content hash 86dbc6ca3337, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

enhance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agent/skills/enhance/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Protocol

START: Read .ai-memory.md from project root. Check past enhancements, known pain points, tech debt notes, performance baselines, and architecture decisions. END: Update .ai-memory.md using Memory Compaction Rules with: what changed, impact, tradeoffs, and remaining tech debt.

Goal

Improve an existing implementation without breaking working behavior.

Agent Routing

If enhancing performance → read .kiro/skills/agents/agents/performance-optimizer.md and apply its knowledge
If tightening security → read .kiro/skills/agents/agents/security-auditor.md and apply its knowledge
If improving UI/UX → read .kiro/skills/agents/agents/frontend-specialist.md and apply its knowledge
If refactoring backend/API → read .kiro/skills/agents/agents/backend-specialist.md and apply its knowledge
If improving database queries → read .kiro/skills/agents/agents/database-architect.md and apply its knowledge

Socratic Gate

Before enhancing, verify:

What specific aspect needs improvement? (performance, security, UX, maintainability?)
What is the current pain point or metric?
Are there existing tests that must continue to pass? If any answer is unclear, ASK before proceeding.

Workflow

Read Memory — Load .ai-memory.md for project context and past enhancement history.
Understand the current state and pain points.
Identify high-impact improvements in quality, maintainability, performance, reliability, or UX.
Prioritize improvements by value versus effort.
Implement or recommend the top changes.
Explain tradeoffs and validation steps.
Quality Gate — Read .kiro/skills/_scripts/checklist.md and verify enhancements don't break existing behavior.
Update Memory — Save enhancement details and outcomes to .ai-memory.md.

Checklist

Current state documented
Pain points identified
Improvements prioritized by value/effort
Existing behavior preserved
Tradeoffs explained
Tests still passing
Memory file updated

Read the full file on GitHub · 66 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago Changed · +3 lines 86dbc6ca3337
2mo ago First seen · 63 lines · 61 tokens per session scan A 338706404812

Subscribe to this mod's changes

enhance is a skill published in the GitHub repository VoTruongDanh/Skills-Agent (4 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 792 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

enhance next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
enhanceVoTruongDanh/Skills-Agent	Skill	4	1mo ago	MIT	A	61	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

Skills-Agent: Skill for Claude Code