environment-triage
When uv sync or pip install behaves unexpectedly, check the actual interpreter.
Works with
Installation Guide
How to use environment-triage on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
environment-triage
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches environment-triage from parcadei/continuous-claude-v3 and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate environment-triage. Access via /environment-triage in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Environment Triage
When uv sync or pip install behaves unexpectedly, check the actual interpreter.
Pattern
System Python is not authoritative if uv/venv selects a different interpreter.
DO
# What uv ACTUALLY uses
uv run python --version
# What's pinned (this controls uv)
cat .python-version
# Confirm package is installed
uv pip show <package>
# Confirm import works in uv context
uv run python -c "import <package>; print(<package>.__version__)"
Common Fix
If optional deps require Python 3.12+ but .python-version is 3.11:
echo "3.13" > .python-version
rm -rf .venv && uv venv && uv sync --all-extras
DON'T
- Trust
python3 --versionwhen using uv - Assume install succeeded without verifying import
- Debug further before checking interpreter version
Source Sessions
- 2243c067: symbolica-agentica skipped due to
python_version >= 3.12marker, but uv was using 3.11 - 4784f390: agentica import failures traced to wrong interpreter
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Use Cases
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale