Master Helix editor keybindings through scientifically-optimized spaced repetition and gamified training.
Stop learning commands in isolation. Train real development workflows with FSRS-powered spaced repetition (20-30% faster mastery), daily quests, XP progression, and anti-farming mechanics that ensure genuine skill development.
Important
100% Offline & Privacy-First β No internet required, no telemetry, no cloud sync. All data stays on your machine in ~/.config/helix-trainer/
- FSRS Spaced Repetition β 20-30% fewer reviews than traditional methods (research-proven)
- Interactive Review Sessions β Practice due commands with instant feedback and XP rewards
- Scenario Mastery Tracking β Three-tier progression (Learning β Proficient β Mastered) with graduated XP scaling
- Daily Quest System β Duolingo-style challenges with streak tracking
- Anti-Farming Protection β Session penalties prevent XP exploitation
- Profile & Statistics β Track your progress, view mastery levels, and see performance analytics
- Arcade Training β 60-second timed sessions with automatic scenario progression
- Streak Multiplier β Build combos up to 5x for consecutive completions
- Lives System β Start with 3 lives, earn bonus lives at score milestones
- XP Integration β Per-scenario XP awards with streak bonuses
- Pause & Resume β Access profile/stats mid-game
- Smart Scenario Discovery β Filter by category, difficulty, commands, or completion status with 6 sort modes
- Rich Metadata β Every scenario tagged with category, difficulty, taught commands, and practice focus
- Real Helix Accuracy β Uses official
helix-corelibrary (v25.07.1) - 45+ Commands β Movement, editing, clipboard, undo/redo, repeat
- 78 Training Scenarios β From basics to intermediate workflows with difficulty indicators
- 55 Daily Quests β Easy, medium, and hard challenges across all commands
- 100% Offline β No cloud, no tracking, all data stays local (
~/.config/helix-trainer/)
Note
Requirements: Terminal with Unicode support. No additional dependencies needed for pre-built binaries.
Download for your platform from Releases:
Linux (x86_64)
# GNU libc (most distributions)
wget https://github.com/bug-ops/helix-trainer/releases/latest/download/helix-trainer-v0.4.7-x86_64-unknown-linux-gnu.tar.gz
tar -xzf helix-trainer-v0.4.7-x86_64-unknown-linux-gnu.tar.gz
cd helix-trainer-v0.4.7-x86_64-unknown-linux-gnu
./helix-trainer
# musl (Alpine Linux, static binary)
wget https://github.com/bug-ops/helix-trainer/releases/latest/download/helix-trainer-v0.4.7-x86_64-unknown-linux-musl.tar.gz
tar -xzf helix-trainer-v0.4.7-x86_64-unknown-linux-musl.tar.gz
cd helix-trainer-v0.4.7-x86_64-unknown-linux-musl
./helix-trainerLinux (ARM64/aarch64)
# GNU libc
wget https://github.com/bug-ops/helix-trainer/releases/latest/download/helix-trainer-v0.4.7-aarch64-unknown-linux-gnu.tar.gz
tar -xzf helix-trainer-v0.4.7-aarch64-unknown-linux-gnu.tar.gz
cd helix-trainer-v0.4.7-aarch64-unknown-linux-gnu
./helix-trainer
# musl
wget https://github.com/bug-ops/helix-trainer/releases/latest/download/helix-trainer-v0.4.7-aarch64-unknown-linux-musl.tar.gz
tar -xzf helix-trainer-v0.4.7-aarch64-unknown-linux-musl.tar.gz
cd helix-trainer-v0.4.7-aarch64-unknown-linux-musl
./helix-trainermacOS
# Apple Silicon (M1/M2/M3/M4)
curl -LO https://github.com/bug-ops/helix-trainer/releases/latest/download/helix-trainer-v0.4.7-aarch64-apple-darwin.tar.gz
tar -xzf helix-trainer-v0.4.7-aarch64-apple-darwin.tar.gz
cd helix-trainer-v0.4.7-aarch64-apple-darwin
./helix-trainer
# Intel
curl -LO https://github.com/bug-ops/helix-trainer/releases/latest/download/helix-trainer-v0.4.7-x86_64-apple-darwin.tar.gz
tar -xzf helix-trainer-v0.4.7-x86_64-apple-darwin.tar.gz
cd helix-trainer-v0.4.7-x86_64-apple-darwin
./helix-trainerWindows
Download from Releases page:
- x86_64:
helix-trainer-v0.4.7-x86_64-pc-windows-msvc.zip - ARM64:
helix-trainer-v0.4.7-aarch64-pc-windows-msvc.zip
Extract and run helix-trainer.exe
Tip
Security: Verify checksums after download to ensure binary integrity:
sha256sum -c helix-trainer-*.sha256Warning
Requires Rust 1.85+ (2024 edition). Install via rustup.rs
git clone https://github.com/bug-ops/helix-trainer.git
cd helix-trainer
cargo build --release
./target/release/helix-trainerhelix-trainerTip
First time? Start with Daily Quests! The system intelligently selects scenarios based on your current skill level and schedules reviews using FSRS spaced repetition.
The interactive TUI will guide you through:
- Daily Quests β Fresh challenges every day (Practice, Learning, Review)
- Training Scenarios β 20 scenarios with instant feedback
- Progress Tracking β XP, levels, streaks, mastery progression
- Performance Analytics β Review calendar, mastery stats
Main Menu
ββ Daily Quests (3 active)
β ββ β
Practice: Complete 3 scenarios
β ββ β³ Learning: Try 2 new scenarios
β ββ π Review: 5 cards due
ββ Training Scenarios (20 available)
β ββ Basic Movement (Mastered - 20% XP)
β ββ Word Navigation (Proficient - 50% XP)
β ββ Delete Line (Learning - 100% XP)
ββ Profile (Level 5, 842 XP)
ββ Statistics
| Category | Commands |
|---|---|
| Movement | h, j, k, l, w, b, e, 0, $, gg, ge, gh, gl, gs |
| Match Mode | mm (jump to matching bracket) |
| Editing | i, a, I, A, o, O, r, c, x, d, J, >, < |
| Clipboard | y, p, P |
| Undo/Redo | u, U |
| Repeat | . (repeat last action) |
| Count Prefix | 3h, 5j, 2w (execute N times) |
| Insert Mode | Text input, Backspace, arrow keys, Esc |
All commands powered by helix-core v25.07.1 for 100% accuracy.
Traditional editor tutorials teach commands. Real development requires workflows.
Most Helix/Vim tutorials:
- Teach
xd(delete line) in isolation β - Show
w(next word) on synthetic text β - Stop at "congratulations, you know the basics!" β
Real development requires:
- Navigate to failing test β jump to implementation β fix bug β stage changes β commit β
- Refactor function across 3 files using LSP β
- Debug by jumping between error logs and source code β
Helix Trainer bridges this gap through:
Important
The Key Differentiator: Phase 2 will introduce full workflow simulation with mock LSP and git state. No other editor trainer does this. We're building the foundation (habits, engagement) before the flagship feature.
- 20-30% fewer reviews than traditional spaced repetition
- 99.6% better accuracy than older algorithms (tested on 350M+ reviews)
- Identifies YOUR weaknesses and schedules smart practice
- Same algorithm as Anki 23.10+ (research-proven)
Prevents XP farming while ensuring genuine skill development:
- Three-tier progression: Learning (100% XP) β Proficient (50% XP) β Mastered (20% XP)
- Session spam protection: Same-day penalties (100% β 70% β 30%)
- Bounded tracking: 10,000 scenario limit with validation
- Performance benchmarks: <1ms XP calculations, ~288 bytes per scenario
Duolingo-proven mechanics:
- Daily quests with fresh challenges
- Streak tracking with loss aversion
- XP & levels (exponential scaling)
- Achievements for milestones
- No cloud services, no internet required
- All data stored locally (
~/.config/helix-trainer/) - No telemetry, tracking, or data collection
- Your learning stays on your machine
Note
Active Development: Phase 2.1 (Mini-Games) is complete! The project now includes both deliberate training and arcade modes with full XP/quest integration.
- FSRS spaced repetition system
- Daily quest system
- XP/leveling with scenario mastery
- Profile & statistics tracking
- Anti-farming protection
- Repeat command (
.) for efficient workflows - 164 passing tests, zero clippy warnings
- Rich metadata system (category, difficulty, tags, taught commands)
- Flexible filtering (category, difficulty, commands, completion status)
- Six sort modes (alphabetical, difficulty, category, completion, recent, random)
- Visual indicators (π’ Beginner / π‘ Intermediate / π΄ Advanced + β completed)
- 25 fully categorized scenarios (Movement: 5, Editing: 11, Clipboard: 3, Advanced: 6)
- Performance benchmarks for filtering/sorting (<1ms for 1000 scenarios)
- Automated scenario validation tests
Arcade-style training with time pressure:
- Mode Selection β Choose between Training (deliberate practice) and Arcade (fast-paced)
- Timed Sessions β 60-second games with 5-10 seconds per scenario
- Lives System β Start with 3 lives, earn bonus at 1000/2500/5000 points
- Score Multiplier β Build streaks up to x5.0 for consecutive completions
- XP Integration β Per-scenario rewards (15 base + streak bonus)
- Pause Menu β Access profile/stats mid-game with proper navigation
- Key History β Visual display of last 5 keys pressed
- 645 passing tests, zero clippy warnings
Why this matters: Build muscle memory through fast-paced repetition while having fun.
- Adaptive difficulty based on performance
- Sound effects with volume control
- Leaderboards (local)
- More game modes (survival, challenge)
The flagship feature that makes Helix Trainer unique:
- Mock LSP server for realistic scenarios
- Git repository state simulation
- Multi-file navigation training
- Real development workflow scenarios (CI debugging, refactoring, etc.)
Why this matters: Bridges the tutorial β productivity gap that nobody else solves.
| Component | Library | Version |
|---|---|---|
| TUI Framework | ratatui | 0.29 |
| Terminal I/O | crossterm | 0.29 |
| Async Runtime | tokio | 1.48 |
| Editor Core | helix-core | 25.07.1 |
| Spaced Repetition | fsrs | 5.2 |
| Large Text | tui-big-text | 0.7 |
Project Metrics:
- Language: Rust 2024 Edition
- MSRV: 1.85
- Lines of Code: ~18,500 (Rust)
- Tests: 645 (all passing)
- Scenarios: 25 (fully categorized with metadata)
- Binary Size: ~3MB (release mode)
- Build Time: ~1.5-2s (incremental, with sccache)
Contributions welcome! See CONTRIBUTING.md for:
- Development setup and workflow
- Code standards and quality checks
- Pull request process
- Testing requirements
Caution
Zero-Tolerance Quality Standards: All PRs must pass clippy (with -D warnings), tests, and formatting checks. CI enforces these automatically.
Quick contributor setup:
# Clone repository
git clone https://github.com/bug-ops/helix-trainer.git
cd helix-trainer
# Run quality checks before committing
cargo +nightly fmt
cargo nextest run
cargo clippy --all-targets --all-features -- -D warnings
cargo build --releaseWith sccache configured, rebuilds are 5x faster (~10s incremental).
- CHANGELOG.md β Release history and version notes
- CONTRIBUTING.md β Contribution guidelines
- SECURITY.md β Security policy
Why not just use :tutor in Helix?
:tutor is excellent for one-time learning. Helix Trainer adds:
- Spaced repetition for long-term retention
- Gamification for daily habit formation
- Progress tracking and analytics
- (Phase 2) Full workflow training
They're complementary tools, not competitors.
Why FSRS instead of traditional spaced repetition?
FSRS is 20-30% more efficient (research-proven on 350M+ reviews). It's the same algorithm Anki switched to in v23.10+. We use the best available learning science.
Can I use this offline?
Yes, 100% offline. No internet required, all data local, zero telemetry.
When is Phase 2 (Workflow Simulator)?
After Phase 1 stabilizes (~3 months). We're building the foundation (habits, engagement) before the flagship feature.
Is this only for Helix, or can I learn Vim/Neovim?
Helix-specific. Many commands overlap with Vim, but Helix uses a different selection-first model. For Vim, try OpenVim or VimGenius.
Note
Transparent Development: We prioritize stability over speed. Phase 2's 6-month timeline ensures Phase 1 is battle-tested before adding complexity.
| Phase | Status | Focus |
|---|---|---|
| Phase A | β Complete | Foundation (30+ commands, 20 scenarios, TUI) |
| Phase 1 | β Complete | Smart learning (FSRS, quests, mastery) |
| Phase 2.1 | β Complete | Mini-Games mode (arcade, time pressure, lives) |
| Phase 2.2 | π Planned | Mini-Games enhancements (sound, adaptive difficulty) |
| Phase 3 | π Planned | Workflow simulator (LSP, git, multi-file) |
| Phase 4 | π‘ Future | Network effects (multiplayer, scenarios marketplace) |
We're tracking:
- 80%+ users practice recommended scenarios (spaced repetition)
- 70%+ users complete 1+ quest per day
- Average streak: >7 days
- D7 retention: >40%
- Review efficiency: 20-30% fewer reviews vs random practice
Research-backed targets, not arbitrary KPIs.
- Helix Editor β For the amazing modal editor
- Ratatui β For the excellent TUI framework
- FSRS Research Team β For the algorithm
- Anki β Inspiration for spaced repetition
Inspired by vim-tutor, OpenVim, and decades of learning science research.
Licensed under MIT β see LICENSE for details.


