All major providers (Claude, Codex, Gemini, OpenCode) use browser-based OAuth authentication, not manual API keys: - Run the CLI command - Browser opens for sign-in - Auth tokens saved automatically Also added post_install_note for Ollama to show how to add the provider after installing. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
||
|---|---|---|
| docs | ||
| examples | ||
| src/smarttools | ||
| tests | ||
| .dockerignore | ||
| .gitignore | ||
| CLAUDE.md | ||
| Dockerfile | ||
| README.md | ||
| docker-compose.yml | ||
| pyproject.toml | ||
README.md
SmartTools
A lightweight personal tool builder for AI-powered CLI commands.
Turn any AI model into a Unix-style pipe command. Build once, use forever.
# Fix grammar in any file
echo "teh cat sat on teh mat" | fix-grammar
# Output: The cat sat on the mat
# Explain errors instantly
cat error.log | explain-error
# Generate commit messages
git diff --staged | commit-msg
# Extract data as validated JSON
echo "Price $49.99, SKU ABC-123" | json-extract --fields "price, sku"
# Output: {"price": 49.99, "sku": "ABC-123"}
Why SmartTools?
- Unix Philosophy - Tools that do one thing well, composable with pipes
- Provider Agnostic - Works with Claude, GPT, Gemini, DeepSeek, local models
- No Lock-in - Your tools are YAML files, your prompts are yours
- Multi-step Pipelines - Chain AI prompts with Python code for validation
- 12+ Providers Profiled - We tested them so you don't have to
Quick Start
# Install
pip install smarttools
# Ensure ~/.local/bin is in PATH
export PATH="$HOME/.local/bin:$PATH"
# Launch the UI
smarttools ui
# Or create your first tool
smarttools create summarize
Installation
From PyPI (Recommended)
pip install smarttools
From Source
git clone https://gitea.brrd.tech/rob/smarttools.git
cd smarttools
pip install -e .
Requirements
- Python 3.10+
- At least one AI CLI tool installed (see Provider Setup)
- Optional:
urwidfor the TUI (pip install urwid)
Post-Install
Add to your ~/.bashrc or ~/.zshrc:
export PATH="$HOME/.local/bin:$PATH"
Then refresh wrapper scripts:
smarttools refresh
Usage
UI Mode (Recommended for Beginners)
smarttools ui
Navigate with arrow keys, Tab, Enter, and mouse. Create tools visually with the built-in prompt editor.
CLI Mode
smarttools list # List all tools
smarttools create mytool # Create new tool
smarttools edit mytool # Edit in $EDITOR
smarttools delete mytool # Delete tool
smarttools run mytool # Run a tool
smarttools test mytool # Test with mock provider
smarttools refresh # Update executable wrappers
Running Tools
Once created, tools work like any Unix command:
# Direct invocation
mytool -i input.txt -o output.txt
# Pipe input (most common)
cat file.txt | mytool
# With arguments
echo "hello" | translate --lang French
# Preview without calling AI
cat file.txt | mytool --dry-run
# Test with mock provider
cat file.txt | mytool --provider mock
Composing Tools
SmartTools follows Unix philosophy: each tool does one thing well, and tools chain together for complex workflows.
# Chain SmartTools together
cat error.log | log-errors | summarize | translate --lang Spanish
# Code review pipeline: focus on changes, review, then summarize
git diff | diff-focus | review-code | tldr
# Extract data, convert format, analyze
cat report.pdf | json-extract --fields "revenue, costs, date" | json2csv | csv-insights
# Process text through multiple transformations
cat technical_doc.txt | simplify | fix-grammar | tone-shift --tone friendly
# Generate code, validate it, then explain what it does
echo "parse CSV and calculate averages" | code-validate | explain-code
Mix with standard Unix tools:
# Extract emails, deduplicate, count
cat inbox.txt | extract-emails | sort -u | wc -l
# Find errors in multiple logs, explain them
cat *.log | grep -i error | explain-error
# Generate changelog for specific author
git log --author="rob" --oneline | changelog > CHANGELOG.md
# Review only large files in a commit
git diff --stat | awk '$3 > 100 {print $1}' | xargs cat | review-code
Build shell functions for common pipelines:
# ~/.bashrc
quick-review() {
git diff "$@" | diff-focus | review-code --focus "bugs and security" | tldr
}
translate-doc() {
cat "$1" | summarize | translate --lang "$2"
}
# Usage: quick-review HEAD~3
# Usage: translate-doc manual.txt French
Example Tools
SmartTools comes with 28 pre-built examples you can install:
Text Processing
| Tool | Description | Example |
|---|---|---|
summarize |
Condense documents | cat article.txt | summarize |
translate |
Translate text | echo "Hello" | translate --lang Spanish |
fix-grammar |
Fix spelling/grammar | cat draft.txt | fix-grammar |
simplify |
Rewrite for clarity | cat legal.txt | simplify --level "5th grade" |
tone-shift |
Change tone | cat email.txt | tone-shift --tone professional |
eli5 |
Explain like I'm 5 | cat quantum.txt | eli5 |
tldr |
One-line summary | cat readme.txt | tldr |
expand |
Expand bullet points | cat notes.txt | expand |
Developer Tools
| Tool | Description | Example |
|---|---|---|
explain-error |
Explain stack traces | cat error.log | explain-error |
explain-code |
Explain what code does | cat script.py | explain-code |
review-code |
Quick code review | cat pr.diff | review-code --focus security |
gen-tests |
Generate unit tests | cat module.py | gen-tests --framework pytest |
docstring |
Add docstrings | cat functions.py | docstring |
commit-msg |
Generate commit message | git diff --staged | commit-msg |
Data Tools
| Tool | Description | Example |
|---|---|---|
json-extract |
Extract as validated JSON | cat text.txt | json-extract --fields "name, email" |
json2csv |
Convert JSON to CSV | cat data.json | json2csv |
extract-emails |
Extract email addresses | cat page.html | extract-emails |
extract-contacts |
Extract contacts as CSV | cat notes.txt | extract-contacts |
sql-from-text |
Natural language to SQL | echo "get active users" | sql-from-text |
safe-sql |
SQL with safety checks | echo "delete old records" | safe-sql |
parse-log |
Analyze log files | cat app.log | parse-log --focus errors |
csv-insights |
Analyze CSV data | cat sales.csv | csv-insights --question "trends?" |
Advanced Multi-Step Tools
| Tool | Description | Pattern |
|---|---|---|
log-errors |
Extract & explain errors from huge logs | Code→AI |
diff-focus |
Review only added lines | Code→AI |
changelog |
Git log to formatted changelog | Code→AI→Code |
code-validate |
Generate syntax-checked Python | AI→Code |
Install Example Tools
# Download and run the example installer
curl -sSL https://gitea.brrd.tech/rob/smarttools/raw/branch/main/examples/install.py | python3
# Or manually copy from examples/
Providers
SmartTools works with any AI CLI tool. We've profiled 12 providers:
| Provider | Speed | Accuracy | Cost | Best For |
|---|---|---|---|---|
opencode-deepseek |
13s | 4/4 | Cheap | Best value - daily use |
opencode-pickle |
13s | 4/4 | FREE | Best free - accurate |
claude-haiku |
14s | 4/4 | Paid | Fast + accurate |
codex |
14s | 4/4 | Paid | Reliable |
claude-opus |
18s | 4/4 | $ |
Highest quality |
gemini |
91s | 3/4 | Paid | Large docs (1M tokens) |
See docs/PROVIDERS.md for setup instructions.
Tool Anatomy
A tool is a YAML config file in ~/.smarttools/<name>/config.yaml:
name: summarize
description: Condense documents to key points
category: Text # Optional: Text, Developer, Data, or Other
arguments:
- flag: --length
variable: length
default: "3-5 bullet points"
steps:
- type: prompt
prompt: |
Summarize this text into {length}:
{input}
provider: opencode-pickle
output_var: response
output: "{response}"
Categories
Tools can be organized into categories for easier navigation in the UI:
| Category | Description |
|---|---|
Text |
Text processing (summarize, translate, grammar) |
Developer |
Dev tools (explain-error, gen-tests, commit-msg) |
Data |
Data extraction and conversion (json-extract, csv) |
Other |
Default for uncategorized tools |
Multi-Step Tools
Chain AI prompts with Python code for powerful workflows:
name: json-extract
description: Extract data as validated JSON
steps:
# Step 1: AI extracts data
- type: prompt
prompt: "Extract {fields} as JSON from: {input}"
provider: opencode-deepseek
output_var: raw_json
# Step 2: Code validates JSON
- type: code
code: |
import json
try:
parsed = json.loads(raw_json)
validated = json.dumps(parsed, indent=2)
except:
validated = "ERROR: Invalid JSON"
output_var: validated
output: "{validated}"
Variables
| Variable | Description |
|---|---|
{input} |
The piped/file input |
{argname} |
Custom argument value |
{step_output} |
Output from previous step |
Shell Integration
Git Hooks
# .git/hooks/prepare-commit-msg
#!/bin/bash
git diff --cached | commit-msg > "$1"
Aliases
# ~/.bashrc
alias gc='git diff --staged | commit-msg'
alias wtf='explain-error'
alias fixme='fix-grammar'
Vim Integration
" Fix grammar in selection
vnoremap <leader>fg :!fix-grammar<CR>
" Explain selected code
vnoremap <leader>ec :!explain-code<CR>
UI Navigation
| Action | Keys |
|---|---|
| Cycle sections | Tab |
| Go back | Escape |
| Select | Enter or click |
| Navigate | Arrow keys |
| Scroll content | Mouse wheel |
| Scroll up | Click top of scrollbar |
| Scroll down | Click bottom of scrollbar |
| Page up/down | Click middle of scrollbar |
| Select text | Shift + mouse drag |
| Copy | Terminal native (with Shift) |
| Paste | Ctrl+Shift+V |
| Undo (code editor) | Alt+U |
| Redo (code editor) | Alt+R |
Tips:
- Hold
Shiftwhile using mouse for terminal-native text selection. - Code/Prompt editors have DOS-style scrollbars with
▲and▼arrow buttons. - In step dialogs, use
Tabto cycle between File, Editor, and Output fields. - The code editor supports undo/redo (up to 50 states) with
Alt+UandAlt+R. - Use the
$EDITORbutton to open code or prompts in your external editor.
AI-Assisted Code Generation
When adding or editing a Code Step, the dialog includes an AI assist panel:
┌─ Code ─────────────┐ ┌─ AI Assisted Auto-adjust ─────────────┐
│ result = input... │ │ Provider: [opencode-deepseek] [▼] │
│ │ │ ┌─ Prompt ──────────────────────────┐ │
│ │ │ │ Modify this code to... │ │
│ │ │ │ {code} │ │
│ │ │ └──────────────────────────────────┘ │
│ │ │ ┌─ Output & Feedback ───────────────┐ │
│ │ │ │ ✓ Code updated successfully! │ │
│ │ │ └──────────────────────────────────┘ │
│ │ │ < Auto-adjust > │
└────────────────────┘ └───────────────────────────────────────┘
- Provider: Select any configured AI provider
- Prompt: Fully editable template - use
{code}placeholder for current code - Output: Shows status, success/error messages, and provider feedback
- Auto-adjust: Sends prompt to AI and replaces code with response
This lets you generate or modify Python code using AI directly within the tool builder.
Philosophy
SmartTools is built on Unix philosophy:
-
Do one thing well - Each tool solves one problem.
summarizesummarizes.translatetranslates. No bloated mega-tools. -
Compose freely - Tools read stdin, write stdout. Chain them:
cat doc.txt | summarize | translate --lang French -
Text is the interface - No proprietary formats. Pipe text in, get text out. Works with
grep,awk,sed, and every other Unix tool. -
You own everything - Tools are YAML files. Prompts are plain text. No vendor lock-in, no cloud dependency for your tool definitions.
-
Swap parts freely - Change AI providers per-tool or per-run. Today's best model might not be tomorrow's.
Contributing
git clone https://gitea.brrd.tech/rob/smarttools.git
cd smarttools
pip install -e ".[dev]"
pytest
Support
If SmartTools saves you time, consider supporting the project:
Bitcoin: 3KeLqGv2Xo8jGYkqA1i68a6nXwgQnuJoza
Questions? robdickson444@hotmail.com
License
MIT - Use it, modify it, share it.
Docker
Run SmartTools without installing anything locally:
# Clone the repo
git clone https://gitea.brrd.tech/rob/SmartTools.git
cd SmartTools
# Build the container
docker-compose build
# Run tests
docker-compose run --rm test
# Use the CLI
docker-compose run --rm cli smarttools list
# Interactive shell
docker-compose run --rm shell