init-deps-install

Name: init-deps-install
Author: NatsuFox

62stars5forks

How to install init-deps-install?

natsufox/tapestry/init-deps-install

$npx -y skills add NatsuFox/Tapestry --skill init-deps-install

Installs into the current project.

Summary

Automatically triggered when Tapestry is first launched on a new environment or lacks dependencies. Intelligently detects environment and installs Tapestry dependencies with user confirmation.

Files · 1

View on GitHub

SKILL.md

1	# 📦 Tapestry Init Deps Install
2
3	Automatic Dependency Installation with Environment Detection
4
5	This skill is automatically triggered when Tapestry is first launched on a new environment or when dependencies are missing. It detects the user's Python environment (venv, conda, system Python, etc.) and provides a comprehensive installation plan for all project dependencies, including both Python packages and system-level tools.
6
7	## When This Skill is Triggered
8
9	This skill is automatically invoked when:
10	- Tapestry is first launched on a new environment (one-time auto-trigger)
11	- Required dependencies are missing or cannot be imported
12	- The user explicitly asks to "install dependencies" or "set up the project"
13	- After creating a new project that requires dependencies
14
15	Important: The automatic trigger only occurs the first time Tapestry runs in a new environment. After successful initialization, the skill will not auto-trigger on subsequent runs to avoid wasting tokens. Manual invocation is always available if needed.
16
17	## How This Skill Works
18
19	1. Configuration Setup: Checks for user configuration and creates it if missing:
20	- Detects if `tapestry.config.json` exists
21	- If not, copies from `tapestry.config.example.json`
22	- Determines the real project root path
23	- Updates `paths.project_root` in the config with the actual path
24
25	2. Environment Detection: Analyzes the current environment to determine:
26	- Python version and location
27	- Virtual environment status (venv, virtualenv, conda)
28	- Package manager availability (pip, conda, poetry, uv)
29	- Existing installed packages
30
31	3. Dependency Analysis: Scans for dependency files:
32	- `pyproject.toml` (preferred)
33	- `requirements.txt`
34	- `setup.py`
35	- `environment.yml` (conda)
36
37	4. Plan Generation: Creates a comprehensive installation plan including:
38	- Configuration file setup (if needed)
39	- Python package installation commands
40	- System-level dependencies (e.g., `playwright install chromium`)
41	- Optional dependencies and recommendations
42	- Environment-specific considerations
43
44	5. User Confirmation: Presents the plan and asks for approval before executing
45
46	6. Installation: Executes the approved plan and reports results
47
48	## Usage
49
50	This skill is automatically triggered when dependencies are missing. It can also be manually invoked:
51
52	```bash
53	# Manually trigger from the project root
54	/init-deps-install
55
56	# Or specify a project path
57	/init-deps-install /path/to/project
58	```
59
60	## Implementation
61
62	When this skill is invoked:
63
64	1. Check and setup configuration if needed
65	2. Detect the environment by running the detection script
66	3. Analyze dependencies from project files
67	4. Generate an installation plan with clear steps
68	5. Present the plan to the user with AskUserQuestion
69	6. Execute approved steps and report results
70
71	### Step 0: Configuration Setup
72
73	Before installing dependencies, check if this is the first run:
74
75	```bash
76	# Check if already initialized
77	python init-deps-install/_scripts/check_initialized.py
78	# Exit code 0 = already initialized, 1 = needs initialization
79
80	# If not initialized, setup configuration
81	python init-deps-install/_scripts/setup_config.py [project-root]
82	```
83
84	The setup script will:
85	1. Check if `tapestry.config.json` exists
86	2. If not, copy from `tapestry.config.example.json`
87	3. Determine the project root path (argument or CWD)
88	4. Update `paths.project_root` in the config
89
90	Project Root Detection:
91	- If invoked with an argument, use that path as project root
92	- Otherwise, use the current working directory
93	- Convert to absolute path
94	- Update the `paths.project_root` field in `tapestry.config.json`
95
96	Example Output:
97	```json
98	{
99	"config_existed": false,
100	"config_path": "/path/to/skills/tapestry/config/tapestry.config.json",
101	"project_root": "/home/user/my-tapestry-project",
102	"created": true,
103	"updated": true
104	}
105	```
106
107	Initialization Marker:
108	After successful setup and installation, create a marker file:
109	```bash
110	# Create .tapestry_initialized marker
111	python init-deps-install/_scripts/mark_initialized.py
112	```
113
114	This marker file indicates that Tapestry has been successfully initialized and prevents the skill from auto-triggering on future runs, saving tokens.
115
116	### Step 1: Environment Detection
117
118	Run the environment detection script:
119
120	```bash
121	python init-deps-install/_scripts/detect_env.py
122	```
123
124	This outputs JSON with:
125	- `python_version`: Python version string
126	- `python_path`: Path to Python executable
127	- `env_type`: "venv", "conda", "system", or "unknown"
128	- `env_name`: Name of the environment (if applicable)
129	- `env_path`: Path to the environment (if applicable)
130	-

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init-deps-install

62stars5forks

View on GitHub

How to install init-deps-install?

natsufox/tapestry/init-deps-install

$npx -y skills add NatsuFox/Tapestry --skill init-deps-install

Installs into the current project.

Summary

Automatically triggered when Tapestry is first launched on a new environment or lacks dependencies. Intelligently detects environment and installs Tapestry dependencies with user confirmation.

Files · 1

View on GitHub

SKILL.md

1	# 📦 Tapestry Init Deps Install
2
3	Automatic Dependency Installation with Environment Detection
4
5	This skill is automatically triggered when Tapestry is first launched on a new environment or when dependencies are missing. It detects the user's Python environment (venv, conda, system Python, etc.) and provides a comprehensive installation plan for all project dependencies, including both Python packages and system-level tools.
6
7	## When This Skill is Triggered
8
9	This skill is automatically invoked when:
10	- Tapestry is first launched on a new environment (one-time auto-trigger)
11	- Required dependencies are missing or cannot be imported
12	- The user explicitly asks to "install dependencies" or "set up the project"
13	- After creating a new project that requires dependencies
14
15	Important: The automatic trigger only occurs the first time Tapestry runs in a new environment. After successful initialization, the skill will not auto-trigger on subsequent runs to avoid wasting tokens. Manual invocation is always available if needed.
16
17	## How This Skill Works
18
19	1. Configuration Setup: Checks for user configuration and creates it if missing:
20	- Detects if `tapestry.config.json` exists
21	- If not, copies from `tapestry.config.example.json`
22	- Determines the real project root path
23	- Updates `paths.project_root` in the config with the actual path
24
25	2. Environment Detection: Analyzes the current environment to determine:
26	- Python version and location
27	- Virtual environment status (venv, virtualenv, conda)
28	- Package manager availability (pip, conda, poetry, uv)
29	- Existing installed packages
30
31	3. Dependency Analysis: Scans for dependency files:
32	- `pyproject.toml` (preferred)
33	- `requirements.txt`
34	- `setup.py`
35	- `environment.yml` (conda)
36
37	4. Plan Generation: Creates a comprehensive installation plan including:
38	- Configuration file setup (if needed)
39	- Python package installation commands
40	- System-level dependencies (e.g., `playwright install chromium`)
41	- Optional dependencies and recommendations
42	- Environment-specific considerations
43
44	5. User Confirmation: Presents the plan and asks for approval before executing
45
46	6. Installation: Executes the approved plan and reports results
47
48	## Usage
49
50	This skill is automatically triggered when dependencies are missing. It can also be manually invoked:
51
52	```bash
53	# Manually trigger from the project root
54	/init-deps-install
55
56	# Or specify a project path
57	/init-deps-install /path/to/project
58	```
59
60	## Implementation
61
62	When this skill is invoked:
63
64	1. Check and setup configuration if needed
65	2. Detect the environment by running the detection script
66	3. Analyze dependencies from project files
67	4. Generate an installation plan with clear steps
68	5. Present the plan to the user with AskUserQuestion
69	6. Execute approved steps and report results
70
71	### Step 0: Configuration Setup
72
73	Before installing dependencies, check if this is the first run:
74
75	```bash
76	# Check if already initialized
77	python init-deps-install/_scripts/check_initialized.py
78	# Exit code 0 = already initialized, 1 = needs initialization
79
80	# If not initialized, setup configuration
81	python init-deps-install/_scripts/setup_config.py [project-root]
82	```
83
84	The setup script will:
85	1. Check if `tapestry.config.json` exists
86	2. If not, copy from `tapestry.config.example.json`
87	3. Determine the project root path (argument or CWD)
88	4. Update `paths.project_root` in the config
89
90	Project Root Detection:
91	- If invoked with an argument, use that path as project root
92	- Otherwise, use the current working directory
93	- Convert to absolute path
94	- Update the `paths.project_root` field in `tapestry.config.json`
95
96	Example Output:
97	```json
98	{
99	"config_existed": false,
100	"config_path": "/path/to/skills/tapestry/config/tapestry.config.json",
101	"project_root": "/home/user/my-tapestry-project",
102	"created": true,
103	"updated": true
104	}
105	```
106
107	Initialization Marker:
108	After successful setup and installation, create a marker file:
109	```bash
110	# Create .tapestry_initialized marker
111	python init-deps-install/_scripts/mark_initialized.py
112	```
113
114	This marker file indicates that Tapestry has been successfully initialized and prevents the skill from auto-triggering on future runs, saving tokens.
115
116	### Step 1: Environment Detection
117
118	Run the environment detection script:
119
120	```bash
121	python init-deps-install/_scripts/detect_env.py
122	```
123
124	This outputs JSON with:
125	- `python_version`: Python version string
126	- `python_path`: Path to Python executable
127	- `env_type`: "venv", "conda", "system", or "unknown"
128	- `env_name`: Name of the environment (if applicable)
129	- `env_path`: Path to the environment (if applicable)
130	-

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