Claude-code-plugins obsidian-performance-tuning

install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/obsidian-pack/skills/obsidian-performance-tuning" ~/.claude/skills/jeremylongshore-claude-code-plugins-obsidian-performance-tuning && rm -rf "$T"
manifest: plugins/saas-packs/obsidian-pack/skills/obsidian-performance-tuning/SKILL.md
source content

Obsidian Performance Tuning

Overview

Optimize Obsidian plugin performance for large vaults (10,000+ files): profile bottlenecks with DevTools, implement lazy initialization, process files in batches with UI yielding, use LRU caches with bounded memory, debounce event handlers, and optimize DOM rendering with virtual scrolling and DocumentFragment.

Prerequisites

  • Working Obsidian plugin with at least one performance concern
  • Developer Console access (Ctrl+Shift+I / Cmd+Option+I)
  • Understanding of async JavaScript and the event loop

Performance Benchmarks

MetricGoodWarningCritical
Plugin load time (
onload
)
< 100ms100-500ms> 500ms
Command execution< 50ms50-200ms> 200ms
Single file operation< 10ms10-50ms> 50ms
Memory increase on load< 10MB10-50MB> 50MB
Event handler execution< 5ms5-20ms> 20ms

Instructions

Step 1: Profile with DevTools Performance Tab

// Add timing instrumentation to identify bottlenecks
export default class MyPlugin extends Plugin {
  async onload() {
    const loadStart = performance.now();

    await this.loadSettings();
    console.log(`[perf] loadSettings: ${(performance.now() - loadStart).toFixed(1)}ms`);

    const indexStart = performance.now();
    await this.buildIndex();
    console.log(`[perf] buildIndex: ${(performance.now() - indexStart).toFixed(1)}ms`);

    const cmdStart = performance.now();
    this.registerCommands();
    console.log(`[perf] registerCommands: ${(performance.now() - cmdStart).toFixed(1)}ms`);

    console.log(`[perf] total onload: ${(performance.now() - loadStart).toFixed(1)}ms`);
  }
}

For deeper analysis, use the DevTools Performance tab:

  1. Open DevTools (Ctrl+Shift+I)
  2. Go to Performance tab
  3. Click Record
  4. Toggle your plugin off/on in Settings > Community Plugins
  5. Stop recording
  6. Look for long tasks (yellow bars > 50ms) in the flame chart

Step 2: Lazy Initialization — Defer Expensive Work

// BAD: build index on load (blocks startup)
async onload() {
  this.index = await this.buildFullIndex(); // 2 seconds on large vaults
}

// GOOD: lazy — build on first use
export default class MyPlugin extends Plugin {
  private _index: Map<string, string[]> | null = null;
  private indexPromise: Promise<Map<string, string[]>> | null = null;

  async getIndex(): Promise<Map<string, string[]>> {
    if (this._index) return this._index;
    if (!this.indexPromise) {
      this.indexPromise = this.buildFullIndex().then(idx => {
        this._index = idx;
        this.indexPromise = null;
        return idx;
      });
    }
    return this.indexPromise;
  }

  async onload() {
    // Register commands immediately — index builds on first command use
    this.addCommand({
      id: 'search',
      name: 'Search indexed notes',
      callback: async () => {
        const index = await this.getIndex(); // builds on first call only
        // ... use index
      },
    });
  }

  private async buildFullIndex(): Promise<Map<string, string[]>> {
    const index = new Map<string, string[]>();
    const files = this.app.vault.getMarkdownFiles();
    for (const file of files) {
      const cache = this.app.metadataCache.getFileCache(file);
      if (cache?.tags) {
        index.set(file.path, cache.tags.map(t => t.tag));
      }
    }
    return index;
  }
}

Step 3: Batch File Processing with UI Yielding

import { TFile, Notice } from 'obsidian';

async processAllFiles(statusEl?: HTMLElement): Promise<number> {
  const files = this.app.vault.getMarkdownFiles();
  const BATCH_SIZE = 50;
  let processed = 0;

  for (let i = 0; i < files.length; i += BATCH_SIZE) {
    const batch = files.slice(i, i + BATCH_SIZE);

    for (const file of batch) {
      // Use cachedRead — avoids hitting disk on every call
      const content = await this.app.vault.cachedRead(file);
      this.processContent(file, content);
      processed++;
    }

    // Yield to UI thread — prevents "not responding" dialog
    await sleep(0);

    // Update progress
    if (statusEl) {
      const pct = Math.round((processed / files.length) * 100);
      statusEl.setText(`Processing: ${pct}% (${processed}/${files.length})`);
    }
  }

  return processed;
}

// Helper: Obsidian exports sleep(), or use this
function sleep(ms: number): Promise<void> {
  return new Promise(resolve => setTimeout(resolve, ms));
}

Step 4: LRU Cache for Bounded Memory

// src/services/lru-cache.ts
export class LRUCache<K, V> {
  private cache = new Map<K, V>();

  constructor(private maxSize: number) {}

  get(key: K): V | undefined {
    const value = this.cache.get(key);
    if (value !== undefined) {
      // Move to end (most recently used)
      this.cache.delete(key);
      this.cache.set(key, value);
    }
    return value;
  }

  set(key: K, value: V) {
    this.cache.delete(key); // remove if exists (reinserts at end)
    this.cache.set(key, value);
    if (this.cache.size > this.maxSize) {
      // Evict oldest (first) entry
      const oldest = this.cache.keys().next().value;
      if (oldest !== undefined) this.cache.delete(oldest);
    }
  }

  has(key: K): boolean { return this.cache.has(key); }
  delete(key: K): boolean { return this.cache.delete(key); }
  clear() { this.cache.clear(); }
  get size(): number { return this.cache.size; }
}

// Usage: cache processed file results by mtime
class FileProcessor {
  private cache = new LRUCache<string, { mtime: number; result: string }>(500);

  async process(file: TFile): Promise<string> {
    const cached = this.cache.get(file.path);
    if (cached && cached.mtime === file.stat.mtime) {
      return cached.result; // cache hit — skip expensive processing
    }

    const content = await this.app.vault.cachedRead(file);
    const result = this.expensiveTransform(content);
    this.cache.set(file.path, { mtime: file.stat.mtime, result });
    return result;
  }
}

Step 5: Debounce and Throttle Event Handlers

import { Plugin, TFile, debounce } from 'obsidian';

export default class MyPlugin extends Plugin {
  // Global debounce: runs 500ms after last modify event
  private handleModify = debounce(
    (file: TFile) => {
      const cache = this.app.metadataCache.getFileCache(file);
      if (cache?.frontmatter?.tracked) {
        this.reindexFile(file);
      }
    },
    500,
    true // trailing edge
  );

  // Per-file debounce: separate timer for each file
  private fileTimers = new Map<string, ReturnType<typeof setTimeout>>();

  private debouncedPerFile(file: TFile, fn: () => void, delay = 1000) {
    const existing = this.fileTimers.get(file.path);
    if (existing) clearTimeout(existing);
    this.fileTimers.set(file.path, setTimeout(() => {
      this.fileTimers.delete(file.path);
      fn();
    }, delay));
  }

  async onload() {
    this.registerEvent(
      this.app.vault.on('modify', (file) => {
        if (file instanceof TFile && file.extension === 'md') {
          this.handleModify(file);
        }
      })
    );
  }

  onunload() {
    for (const timer of this.fileTimers.values()) clearTimeout(timer);
    this.fileTimers.clear();
  }
}

Step 6: Optimize DOM Rendering

// BAD: updating DOM on every event
this.registerEvent(this.app.vault.on('modify', () => {
  this.containerEl.empty();
  this.renderFullList(); // re-renders 1000 items on every keystroke
}));

// GOOD: DocumentFragment for batch DOM updates
private renderFileList(container: HTMLElement, files: TFile[]) {
  const fragment = document.createDocumentFragment();
  for (const file of files) {
    const el = document.createElement('div');
    el.className = 'file-item';
    el.textContent = file.basename;
    el.addEventListener('click', () => {
      this.app.workspace.getLeaf().openFile(file);
    });
    fragment.appendChild(el);
  }
  container.empty();
  container.appendChild(fragment);
}

// GOOD: requestAnimationFrame for coalesced updates
private pendingRender = false;

private scheduleRender() {
  if (!this.pendingRender) {
    this.pendingRender = true;
    requestAnimationFrame(() => {
      this.render();
      this.pendingRender = false;
    });
  }
}

// GOOD: Virtual scrolling for long lists
private renderVirtualList(container: HTMLElement, items: string[], itemHeight = 24) {
  const visibleCount = Math.ceil(container.clientHeight / itemHeight);
  let scrollTop = 0;

  const content = container.createEl('div', {
    attr: { style: `height: ${items.length * itemHeight}px; position: relative;` },
  });

  const renderVisible = () => {
    const start = Math.floor(scrollTop / itemHeight);
    const end = Math.min(start + visibleCount + 5, items.length);

    content.empty();
    for (let i = start; i < end; i++) {
      content.createEl('div', {
        text: items[i],
        attr: { style: `position: absolute; top: ${i * itemHeight}px; height: ${itemHeight}px;` },
      });
    }
  };

  container.addEventListener('scroll', () => {
    scrollTop = container.scrollTop;
    requestAnimationFrame(renderVisible);
  });

  renderVisible();
}

Step 7: Memory Leak Prevention

// Common leak: WeakRef/WeakMap for file references
// Files can be deleted — holding TFile references prevents GC
private fileData = new WeakMap<TFile, ProcessedData>();

// Common leak: unregistered event listeners
// BAD:
document.addEventListener('click', this.handler); // leaks on unload

// GOOD:
this.registerDomEvent(document, 'click', this.handler); // auto-cleaned

// Common leak: uncleaned intervals
// BAD:
setInterval(() => this.sync(), 60000); // runs forever after unload

// GOOD:
this.registerInterval(window.setInterval(() => this.sync(), 60000)); // auto-cleaned

// Audit: check memory in DevTools
// Console > Performance.memory.usedJSHeapSize
// Enable/disable your plugin, check if memory drops back to baseline

Output

  • Performance profiler identifying specific bottlenecks in
    onload
    and commands
  • Lazy initialization deferring index builds until first use
  • Batch file processing with
    await sleep(0)
    yielding to prevent UI freezes
  • LRU cache with bounded memory (500 entries) and mtime-based invalidation
  • Debounced event handlers (global and per-file) for
    vault.on('modify')
  • DOM optimization with DocumentFragment, requestAnimationFrame, and virtual scrolling
  • Memory leak prevention checklist with WeakMap, registerEvent, registerInterval

Error Handling

IssueCauseSolution
Plugin slow to loadHeavy initialization in
onload
Use lazy loading pattern (Step 2)
UI freezes during processingSynchronous loop over all filesBatch with
await sleep(0)
(Step 3)
Memory keeps growingUnbounded caches or leaked referencesUse LRU cache (Step 4), WeakMap for file refs
Event handlers lagUnthrottled
modify
handler
Debounce at 500ms minimum (Step 5)
Layout thrashingDOM updates on every eventCoalesce with
requestAnimationFrame
(Step 6)
cachedRead
returns stale data
Cache not yet updatedUse
vault.read()
when freshness is critical
Plugin doesn't release memory on disableMissing cleanupUse
registerEvent
/
registerInterval
exclusively

Examples

Pre-Release Performance Checklist

  • onload
    completes in < 100ms (check console timing)
  • No synchronous loops over all vault files in
    onload
  • File operations use
    cachedRead
    (not
    read
    ) where possible
  • All event handlers debounced or throttled
  • Caches have explicit size limits (LRU or max-age)
  • Works smoothly in vault with 5,000+ files
  • Memory returns to baseline after disabling plugin
  • No raw
    addEventListener
    /
    setInterval
    (use
    register*
    methods)

Quick Memory Check

// Paste in Obsidian DevTools Console
// Check before and after enabling your plugin
console.log('Heap:', Math.round(performance.memory.usedJSHeapSize / 1048576), 'MB');

Resources

Next Steps

For resource cost optimization, see

obsidian-cost-tuning
. For rate limiting and throttling patterns, see
obsidian-rate-limits
.