// Template for creating new skills in gptme-contrib. Use this as a starting point when creating your own skills.
Conduct a structured interview about a new project and generate a ready-to-use CLAUDE.md/AGENTS.md starter so the agent knows your conventions from session one.
Query a Home Assistant instance for presence, sensor data, calendar events, and cameras
Use when creating or revising an agent's SOUL.md, splitting runtime voice out of broader identity docs, or tightening a vague persona file into a short, opinionated, voice-only artifact without changing the agent's core identity.
Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly, and establishes productive working relationships from the first interaction.
Workflow for publishing HTML artifacts (demos, visualizations, interactive content) to the web. Enables agents to share work products publicly via GitHub Pages or similar hosting.
Systematic code review workflows with bundled utilities for analyzing code quality, detecting patterns, and providing structured feedback. Use this skill when reviewing pull requests or conducting code audits.
| name | template-skill |
| description | Template for creating new skills in gptme-contrib. Use this as a starting point when creating your own skills. |
This is a minimal skill template demonstrating the basic structure of a gptme skill.
Skills are enhanced lessons that bundle:
Every skill needs:
Required fields:
type: skill - Distinguishes from lessonsname: skill-name - Skill identifier (must match directory name)description: ... - What the skill does and when to use itstatus: active - active, automated, deprecated, or archivedmatch: {keywords: [...]} - Trigger keywordsOptional fields:
scripts: [] - List of bundled Python scriptsdependencies: [] - Required Python packageshooks: [] - Execution hooks (future feature)The markdown body can include:
---
type: skill
name: my-skill
description: Brief description of what the skill does
status: active
match:
keywords: [keyword1, keyword2]
scripts: []
dependencies: []
---
# My Skill
Instructions for using this skill...
---
type: skill
name: data-analysis
description: Data analysis workflows with pandas and visualization
status: active
match:
keywords: [data analysis, pandas, visualization]
scripts:
- helpers.py
- plot_utils.py
dependencies:
- pandas
- matplotlib
---
# Data Analysis Skill
Use this skill for data analysis tasks...
## Bundled Scripts
- `helpers.py`: Common data manipulation functions
- `plot_utils.py`: Visualization utilities
## Usage
```python
# Import bundled helpers
from helpers import load_data, clean_data
from plot_utils import plot_distribution
# Analyze data
df = load_data("data.csv")
df = clean_data(df)
plot_distribution(df["column"])
## Integration with Lessons
Skills complement lessons:
- **Lessons**: Behavioral patterns and best practices (auto-included)
- **Skills**: Executable workflows with bundled tools (explicitly loaded)
Example:
- Lesson teaches: "Use type hints in Python"
- Skill provides: Type checking utilities and templates
## Related
- [Skills README](../README.md) - Skills system overview