fieldtheory-cli-bookmarks

Imported from reason-machines/trending-skills (skills/fieldtheory-cli-bookmarks/SKILL.md) via skills.sh. Install upstream with npx skills add reason-machines/trending-skills --skill fieldtheory-cli-bookmarks. Copyright stays with the author.

Field Theory CLI — X/Twitter Bookmark Manager

Skill by ara.so — Daily 2026 Skills collection.

Field Theory CLI (ft) syncs all your X/Twitter bookmarks locally, indexes them for full-text search, classifies them by category and domain, and exposes them to AI agents via shell commands. No official API required for the default sync mode.

Installation

npm install -g fieldtheory

Requirements:

• Node.js 20+
• Google Chrome (logged into X/Twitter) for default sync mode
• macOS for Chrome session sync; Linux/Windows use OAuth mode

Verify installation:

ft --version
ft status

Quick Start

# Sync bookmarks (reads Chrome session automatically)
ft sync

# Search immediately
ft search "machine learning"

# Explore with terminal dashboard
ft viz

Data is stored at ~/.ft-bookmarks/ by default.

Core Commands

Syncing

# Incremental sync (new bookmarks only)
ft sync

# Sync then auto-classify with LLM
ft sync --classify

# Full history crawl from the beginning
ft sync --full

# Sync via OAuth API (cross-platform, no Chrome needed)
ft sync --api

# Show sync status
ft status

Searching

# Full-text BM25 search
ft search "distributed systems"
ft search "rust async runtime"
ft search "cancer immunotherapy"

# Filter results
ft list --author elonmusk
ft list --category tool
ft list --domain ai
ft list --since 2024-01-01
ft list --category research --domain biology

# Show a single bookmark by ID
ft show 1234567890

Classification

# LLM-powered classification (requires LLM access)
ft classify

# Regex-based classification (no LLM needed, faster)
ft classify --regex

# Rebuild search index (preserves existing classifications)
ft index

Exploration & Stats

# Terminal dashboard with sparklines and charts
ft viz

# Category distribution
ft categories

# Subject domain distribution
ft domains

# Top authors, languages, date range
ft stats

# Print data directory path
ft path

Media

# Download static images from bookmarks
ft fetch-media

OAuth Setup (Cross-Platform / API Mode)

# Interactive OAuth setup
ft auth

# Then sync via API
ft sync --api

OAuth token stored at ~/.ft-bookmarks/oauth-token.json with chmod 600.

Configuration

Custom Data Directory

# Set in shell profile (~/.zshrc or ~/.bashrc)
export FT_DATA_DIR=/path/to/custom/dir

# Or per-command
FT_DATA_DIR=/Volumes/external/bookmarks ft sync

Data File Layout

~/.ft-bookmarks/
  bookmarks.jsonl       # raw bookmarks, one JSON object per line
  bookmarks.db          # SQLite FTS5 search index
  bookmarks-meta.json   # sync cursor and metadata
  oauth-token.json      # OAuth credentials (API mode only)

Scheduling Sync

Add to crontab (crontab -e):

# Sync every morning at 7am
0 7 * * * ft sync

# Sync and classify every morning at 7am
0 7 * * * ft sync --classify

# Full sync every Sunday at midnight
0 0 * * 0 ft sync --full

Categories Reference

Working with Bookmark Data (TypeScript/Node.js)

The bookmarks.jsonl file can be consumed directly in scripts:

import { createReadStream } from "fs";
import { createInterface } from "readline";
import { homedir } from "os";
import { join } from "path";

interface Bookmark {
  id: string;
  text: string;
  author: string;
  created_at: string;
  url: string;
  category?: string;
  domain?: string;
  media?: string[];
}

async function loadBookmarks(): Promise<Bookmark[]> {
  const dataDir = process.env.FT_DATA_DIR ?? join(homedir(), ".ft-bookmarks");
  const filePath = join(dataDir, "bookmarks.jsonl");

  const bookmarks: Bookmark[] = [];
  const rl = createInterface({
    input: createReadStream(filePath),
    crlfDelay: Infinity,
  });

  for await (const line of rl) {
    if (line.trim()) {
      bookmarks.push(JSON.parse(line));
    }
  }

  return bookmarks;
}

// Usage
const bookmarks = await loadBookmarks();
const tools = bookmarks.filter((b) => b.category === "tool");
console.log(`Found ${tools.length} tool bookmarks`);

Query SQLite Index Directly

import Database from "better-sqlite3";
import { join } from "path";
import { homedir } from "os";

const dataDir = process.env.FT_DATA_DIR ?? join(homedir(), ".ft-bookmarks");
const db = new Database(join(dataDir, "bookmarks.db"), { readonly: true });

// Full-text search using SQLite FTS5
function searchBookmarks(query: string, limit = 20) {
  const stmt = db.prepare(`
    SELECT id, text, author, created_at, category, domain
    FROM bookmarks
    WHERE bookmarks MATCH ?
    ORDER BY rank
    LIMIT ?
  `);
  return stmt.all(query, limit);
}

// Filter by category
function getByCategory(category: string) {
  const stmt = db.prepare(`
    SELECT * FROM bookmarks WHERE category = ? ORDER BY created_at DESC
  `);
  return stmt.all(category);
}

const results = searchBookmarks("transformer architecture");
console.log(results);

Shell Integration in Agent Scripts

import { execSync } from "child_process";

// Run ft commands from Node.js
function ftSearch(query: string): string {
  return execSync(`ft search "${query}"`, { encoding: "utf8" });
}

function ftList(options: { category?: string; since?: string; author?: string }) {
  const flags = [
    options.category ? `--category ${options.category}` : "",
    options.since ? `--since ${options.since}` : "",
    options.author ? `--author ${options.author}` : "",
  ]
    .filter(Boolean)
    .join(" ");

  return execSync(`ft list ${flags}`, { encoding: "utf8" });
}

// Example: find AI memory tools bookmarked this year
const memoryTools = ftSearch("AI memory");
const recentTools = ftList({ category: "tool", since: "2025-01-01" });

Agent Integration Patterns

Tell your AI agent to use ft directly in natural language:

"Search my bookmarks for distributed tracing tools and summarize the top 5."

"Sync any new X bookmarks, then list all research papers from 2025."

"Find everything I've bookmarked about Rust and categorize it by subtopic."

"Every morning, run ft sync --classify to keep my bookmarks up to date."

Claude Code example prompt:

Use the `ft` CLI to search my bookmarks for "vector database" 
and pick the best open-source option to add to this project.
Run: ft search "vector database" --category tool

Troubleshooting

Chrome session not found

# Ensure Chrome is open and logged into X
# Then retry
ft sync

# If Chrome session still fails, use OAuth mode
ft auth
ft sync --api

Sync stalls or returns 0 bookmarks

# Check sync status and metadata
ft status

# Force full re-crawl
ft sync --full

# Check data directory permissions
ls -la ~/.ft-bookmarks/

Search returns no results

# Rebuild the search index
ft index

# Verify bookmarks exist
ft stats
wc -l ~/.ft-bookmarks/bookmarks.jsonl

Classification not running

# LLM classify requires an LLM — use regex fallback
ft classify --regex

# Or sync with regex classify
ft sync --classify --regex

Reset all data

rm -rf ~/.ft-bookmarks
ft sync

Custom data directory issues

# Confirm the env var is set
echo $FT_DATA_DIR
ft path

# Ensure directory is writable
mkdir -p "$FT_DATA_DIR"
chmod 755 "$FT_DATA_DIR"

Security Notes

• All data is local only — no telemetry or external calls except to X during sync
• Chrome cookies are read temporarily for sync and never stored separately
• OAuth token is stored chmod 600 — treat it like a password
• Default sync uses X's internal GraphQL API (same as browser); --api uses official v2 API

Platform Support

Linux/Windows users must run ft auth first, then use ft sync --api.

Resources

• Homepage: fieldtheory.dev/cli
• Repository: github.com/afar1/fieldtheory-cli
• License: MIT