performance
Optimization patterns (lazy loading, caching, batching), database and frontend performance.
Skill by Arcanada-one
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/arcanada-one-performance
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: frontend, backend
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/performance
What's inside
- Skill name
performance- Description
- Optimization patterns (lazy loading, caching, batching), database and frontend performance. Use when designing or reviewing for performance.
- License
- MIT
- Instructions
- 17 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Performance Guidelines ## Optimization Patterns - **Lazy Loading**: Load resources/modules only when needed. - **Caching**: Use caching layers (Redis, Memory) for expensive operations. - **Batching**: Batch database/API requests where possible. ## Database - Ensure indexes exist on queried columns. - Avoid N+1 query problems (use `include` or batch loading). ## Frontend - Minimize bundle size. - Optimize images (WebP, lazy load). - Use virtualization for large lists.
From Arcanada-one/datarim, MIT.
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Signals
- Stars
- 16
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (25 days ago)
- Last release
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Arcanada-one/datarim
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Explain human-facing task outcomes with requirements, evidence, honest acceptance status and read-only re-explanation, inside or outside Datarim.
SkillAFreshness: A★ 16Claude Code +9 - 0.640score
finishing-a-development-branch
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Use when implementation is complete and all tests pass.
SkillAFreshness: A★ 16Claude Code +9 - 0.639score
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Use when a product decision depends on an uncertain claim and needs a bounded, falsifiable check.
SkillAFreshness: A★ 16Claude Code +9 - 0.637score
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MUST use this before any creative work — features, components, functionality, behavior changes.
SkillAFreshness: A★ 16Claude Code +9 - 0.637score
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Canonical conventions for native agents generating or editing Datarim artifacts, including stage headers, frontmatter, and exact contract quotations.
SkillAFreshness: A★ 16Claude Code +9 - 0.637score
ai-quality
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Cite this page
performance skill. Agent Mart. https://agentmart.dev/skills/arcanada-one-performance (last updated 2026-10-24)