Fieldtheory CLI Bookmarks
Sync, search, classify, and query X/Twitter bookmarks locally using the Field Theory CLI
- Skill ID
- reason-machines/trending-skills/fieldtheory-cli-bookmarks
- Publisher
- reason-machines
- Repository
- trending-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
reason-machines/trending-skills/fieldtheory-cli-bookmarksInstalls these files- SKILL.md
What this skill tells the agent
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 fieldtheoryRequirements:
- 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 statusQuick Start
# Sync bookmarks (reads Chrome session automatically)
ft sync
# Search immediately
ft search "machine learning"
# Explore with terminal dashboard
ft vizData 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 statusSearching
# 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 1234567890Classification
# 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 indexExploration & 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 pathMedia
# Download static images from bookmarks
ft fetch-mediaOAuth Setup (Cross-Platform / API Mode)
# Interactive OAuth setup
ft auth
# Then sync via API
ft sync --apiOAuth 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 syncData 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 --fullCategories Reference
| Category | Description |
|---|---|
tool | GitHub repos, CLI tools, npm packages, open-source |
security | CVEs, vulnerabilities, exploits, supply chain |
technique | Tutorials, demos, code patterns, how-to threads |
launch | Product launches, announcements, "just shipped" |
research | ArXiv papers, studies, academic findings |
opinion | Takes, analysis, commentary, threads |
commerce | Products, shopping, physical goods |
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 toolTroubleshooting
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 --apiSync 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.jsonlClassification not running
# LLM classify requires an LLM — use regex fallback
ft classify --regex
# Or sync with regex classify
ft sync --classify --regexReset all data
rm -rf ~/.ft-bookmarks
ft syncCustom 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
More from reason-machines
Use this skill in a project
Open any RiverX project, search the Skills panel for reason-machines/trending-skills/fieldtheory-cli-bookmarks, and install it in one click.
