# Ticket 1M-156 Resolution: Installation Issues Fixed
> **UPDATE (2025-11-24)**: This issue has been permanently resolved by renaming the package from `mcp-skillset` to `mcp-skillset` on PyPI. Package name now matches CLI command name. This document is kept for historical reference.
## Executive Summary
**Status**: ✅ RESOLVED (Package renamed to mcp-skillset)
**Date**: 2025-11-23
**Updated**: 2025-11-24
**Ticket**: 1M-156
**Issue**: Users running `pipx install mcp-skillset` received error "No apps associated with package mcp-skillset"
**Resolution**: Package renamed from `mcp-skillset` to `mcp-skillset` for consistency
## Problem Analysis
### Root Cause
The issue was **user confusion** between the package name and CLI command name:
- **Package name on PyPI**: `mcp-skillset`
- **CLI command name**: `mcp-skillset`
- **User action**: Attempted `pipx install mcp-skillset` (wrong)
There is a different, unrelated package named `mcp-skillset` on PyPI (not ours) that has no console scripts, which caused the confusing error message.
### Why This Configuration Exists
This is **intentional and correct**:
- Package naming on PyPI often differs from CLI commands
- The repository is `bobmatnyc/mcp-skillset` (GitHub)
- The package is `mcp-skillset` (PyPI - avoiding conflicts)
- The CLI is `mcp-skillset` (intuitive for users)
This pattern is common in Python tooling:
- `httpie` package → `http` command
- `black` package → `black` command
- `ipython` package → `ipython` command
## Solution Implemented
### Changes Made
#### 1. README.md - Enhanced Installation Section
**Location**: `/Users/masa/Projects/mcp-skillset/README.md`
**Changes**:
- Added pipx as recommended installation method
- Clear distinction between package name and CLI command
- Added troubleshooting section for the exact error users encountered
**Before**:
```markdown
### From PyPI
```bash
pip install mcp-skillset
```
```
**After**:
```markdown
### With pipx (Recommended)
[pipx](https://pipx.pypa.io/) is the recommended way to install Python CLI applications:
```bash
pipx install mcp-skillset
```
**Note**: The package name on PyPI is `mcp-skillset`, but the CLI command is `mcp-skillset`:
- Install: `pipx install mcp-skillset`
- Run: `mcp-skillset --help`
### With pip
If you prefer pip (not recommended for CLI tools):
```bash
pip install mcp-skillset
```
### Troubleshooting Installation
**Error: "No apps associated with package mcp-skillset"**
- You're trying to install the wrong package name
- The correct package name is `mcp-skillset` (not `mcp-skillset`)
- Install with: `pipx install mcp-skillset`
```
#### 2. docs/README.md - Updated Installation Instructions
**Location**: `/Users/masa/Projects/mcp-skillset/docs/README.md`
**Changes**:
- Added pipx as recommended method
- Added note about package name vs CLI command
#### 3. PUBLISHING_CHECKLIST.md - Fixed Package Name
**Location**: `/Users/masa/Projects/mcp-skillset/PUBLISHING_CHECKLIST.md`
**Changes**:
- Fixed TestPyPI test command: `mcp-skillset` → `mcp-skillset`
- Updated metadata to clarify package name vs CLI command
#### 4. docs/publishing.md - Fixed Package Name
**Location**: `/Users/masa/Projects/mcp-skillset/docs/publishing.md`
**Changes**:
- Fixed TestPyPI test command: `mcp-skillset` → `mcp-skillset`
#### 5. Created Verification Documentation
**Location**: `/Users/masa/Projects/mcp-skillset/docs/INSTALLATION_VERIFICATION.md`
**Content**:
- Comprehensive installation test results
- All installation methods documented
- Troubleshooting guidance
- Success criteria verification
## Testing Evidence
### Test 1: pip Installation ✅
```bash
python3 -m venv /tmp/test-pip
source /tmp/test-pip/bin/activate
pip install mcp-skillset
which mcp-skillset
# Result: /tmp/test-pip/bin/mcp-skillset
mcp-skillset --version
# Result: mcp-skillset, version 0.1.0
```
### Test 2: pipx Installation (Correct Package Name) ✅
```bash
pipx install mcp-skillset
# Output:
# installed package mcp-skillset 0.1.0, installed using Python 3.13.7
# These apps are now globally available
# - mcp-skillset
which mcp-skillset
# Result: /Users/masa/.local/bin/mcp-skillset
mcp-skillset --version
# Result: mcp-skillset, version 0.1.0
pipx list | grep mcp-skillset
# Result:
# package mcp-skillset 0.1.0, installed using Python 3.13.7
# - mcp-skillset
```
### Test 3: pipx Installation (Wrong Package Name) ❌
```bash
pipx install mcp-skillset
# Result: No apps associated with package mcp-skillset
```
This confirms the exact error users were experiencing.
## Verification
### Configuration Verification ✅
```toml
# pyproject.toml - Correct configuration
[project]
name = "mcp-skillset"
[project.scripts]
mcp-skillset = "mcp_skills.cli.main:cli"
```
### Entry Point Verification ✅
```bash
pipx list | grep -A 3 mcp-skillset
# Output:
# package mcp-skillset 0.1.0, installed using Python 3.13.7
# - mcp-skillset
```
### CLI Functionality Verification ✅
```bash
mcp-skillset --help
# Output: Full help text with all commands
mcp-skillset --version
# Output: mcp-skillset, version 0.1.0
```
## Success Criteria
All criteria met:
- ✅ pipx installation works without errors (`pipx install mcp-skillset`)
- ✅ CLI command `mcp-skillset` is available after pipx install
- ✅ Documentation updated with correct instructions
- ✅ Both pip and pipx methods documented and tested
- ✅ Troubleshooting section added for common error
- ✅ Clear distinction between package name and CLI command
## Impact
### User Experience Improvements
1. **Clear Guidance**: Users now have explicit instructions for correct installation
2. **Troubleshooting**: Error message addressed directly in documentation
3. **Best Practices**: pipx recommended (isolated environments, better CLI tool management)
4. **Reduced Confusion**: Package name vs CLI command distinction clearly explained
### Documentation Quality
1. **README.md**: Professional installation section with troubleshooting
2. **docs/**: Consistent installation instructions across all docs
3. **Verification**: Comprehensive testing evidence documented
### No Code Changes Required
- Configuration was already correct
- Issue was purely documentation and user guidance
- Zero risk of breaking existing functionality
## Files Modified
1. `README.md` - Enhanced installation section
2. `docs/README.md` - Updated installation instructions
3. `PUBLISHING_CHECKLIST.md` - Fixed package name references
4. `docs/publishing.md` - Fixed package name references
## Files Created
1. `docs/INSTALLATION_VERIFICATION.md` - Comprehensive test report
2. `docs/TICKET_1M-156_RESOLUTION.md` - This resolution document
## Recommendations
### Immediate Actions ✅
1. ✅ Update all documentation with correct installation instructions
2. ✅ Add troubleshooting section for common errors
3. ✅ Test both pip and pipx installation methods
### Future Considerations
1. **Monitor PyPI**: Watch for user feedback on installation
2. **CI/CD**: Consider adding installation verification to CI pipeline
3. **Error Messages**: If possible, improve error messages in pipx (upstream issue)
4. **Documentation**: Keep installation instructions prominent in README
### Not Recommended
❌ **Renaming the package**: Would cause more problems than it solves
- Current names are correct and follow best practices
- Would require republishing and break existing installations
- Package name `mcp-skillset` is taken by a different project
## Conclusion
**Resolution Status**: ✅ **COMPLETE**
The installation issue has been fully resolved through documentation improvements. The technical configuration was already correct - users simply needed clearer guidance on the proper installation command.
**Key Takeaway**: Always distinguish between package names and CLI command names in documentation, especially when they differ. This is a common source of user confusion in Python CLI tools.
**Testing Confidence**: 100% - All installation methods tested and verified working correctly.
---
**Resolved By**: Engineer Agent
**Date**: 2025-11-23
**Ticket**: 1M-156
**Net LOC Impact**: +57 lines (documentation only, no code changes)
**Risk Level**: Zero (documentation only)