bash-cli-framework
Universal bash CLI patterns for colors, logging, headers, and error handling
Best use case
bash-cli-framework is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Universal bash CLI patterns for colors, logging, headers, and error handling
Teams using bash-cli-framework should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/bash-cli-framework/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How bash-cli-framework Compares
| Feature / Agent | bash-cli-framework | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Universal bash CLI patterns for colors, logging, headers, and error handling
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Bash Cli Framework
## When to Use This Skill
✅ **Use when:**
- Building new bash CLI tools or scripts
- Adding consistent output formatting to existing scripts
- Need standardized error handling and logging
- Creating user-friendly interactive scripts
- Building tools that will be used across multiple repositories
❌ **Avoid when:**
- Simple one-liner scripts
- Scripts that don't produce user-facing output
- When Python/Node CLI frameworks are more appropriate
## Complete Example
A complete script using all framework components:
```bash
#!/bin/bash
# ABOUTME: Example script demonstrating bash-cli-framework usage
# ABOUTME: Template for new CLI tools in workspace-hub
set -e
# ─────────────────────────────────────────────────────────────────
# Configuration
# ─────────────────────────────────────────────────────────────────
SCRIPT_NAME="$(basename "$0")"
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
VERSION="1.0.0"
# Colors
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
CYAN='\033[0;36m'
NC='\033[0m'
*See sub-skills for full details.*
## Integration with workspace-hub
This framework is used across all workspace-hub scripts:
- `scripts/monitoring/suggest_model.sh`
- `scripts/monitoring/check_claude_usage.sh`
- `scripts/workspace`
- `scripts/repository_sync`
## Resources
- [Bash Best Practices](https://mywiki.wooledge.org/BashGuide/Practices)
- [Google Shell Style Guide](https://google.github.io/styleguide/shellguide.html)
- [ShellCheck](https://www.shellcheck.net/) - Static analysis tool
---
## Version History
- **1.0.0** (2026-01-14): Initial release - extracted from workspace-hub scripts
## Sub-Skills
- [1. Color Definitions (+3)](1-color-definitions/SKILL.md)
- [5. Error Handling (+1)](5-error-handling/SKILL.md)
- [1. Always Use `set -e` (+4)](1-always-use-set-e/SKILL.md)Related Skills
xurl
X/Twitter via xurl CLI: post, search, DM, media, v2 API.
xitter
Interact with X/Twitter via the x-cli terminal client using official X API credentials. Use for posting, reading timelines, searching tweets, liking, retweeting, bookmarks, mentions, and user lookups.
research-paper-writing
End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation verification.
cli-productivity
Essential CLI tools and shell productivity patterns for efficient terminal workflows
usage-tracker
Track and analyze usage metrics with timestamped logging, reporting, and trend detection
state-directory-manager
Manage persistent state directories with XDG-compliant paths and cleanup for bash scripts
parallel-batch-executor
Parallel task execution patterns using xargs and job control for significant performance gains
json-config-loader
Configuration file parsing patterns for bash scripts (INI, key=value, JSON)
interactive-menu-builder
Build multi-level interactive CLI menus with navigation and selection for bash scripts
git-sync-manager
Multi-repository git synchronization and fetch-pull-push patterns for batch operations across workspaces
complexity-scorer
Score task complexity using keyword matching, heuristic analysis, and configurable threshold rules
agent-os-framework
Generate standardized .agent-os directory structure with product documentation, mission, tech-stack, roadmap, and decision records. Enables AI-native workflows.