fix: correct CLI flags in plugin slash commands (create uses --preset, package uses --target)

This commit is contained in:
yusyus
2026-03-17 22:03:20 +03:00
parent 5e4932e8b1
commit 26c2d0bd5c
2 changed files with 45 additions and 38 deletions

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@@ -9,7 +9,7 @@ Create an AI-ready skill from a source. The source type is auto-detected.
## Usage
```
/skill-seekers:create-skill <source> [--target <platform>] [--output <dir>]
/skill-seekers:create-skill <source> [--preset <level>] [--output <dir>]
```
## Instructions
@@ -17,36 +17,46 @@ Create an AI-ready skill from a source. The source type is auto-detected.
When the user provides a source via `$ARGUMENTS`, run the `skill-seekers create` command to generate a skill.
1. Parse the arguments: extract the source (first argument) and any flags.
2. If no `--target` is specified, default to `claude`.
2. If no `--preset` is specified, default to `quick` for fast results.
3. If no `--output` is specified, default to `./output`.
4. Run the command:
4. Run the create command:
```bash
skill-seekers create "$SOURCE" --target "$TARGET" --output "$OUTPUT"
skill-seekers create "$SOURCE" --preset quick --output "$OUTPUT"
```
5. After completion, read the generated `SKILL.md` and summarize what was created.
6. If the user wants to target a specific platform (e.g., Claude, OpenAI, LangChain), run the package command after:
```bash
skill-seekers package "$SKILL_DIR" --target "$PLATFORM"
```
## Presets
- `-p quick` — 1-2 minutes, basic skill
- `-p standard` — 5-10 minutes, good coverage
- `-p comprehensive` — 20-60 minutes, full analysis
## Source Types (auto-detected)
- **URL** (https://...) Documentation scraping
- **owner/repo** or github.com URL GitHub repo analysis
- **file.pdf** PDF extraction
- **file.ipynb** Jupyter notebook
- **file.docx** Word document
- **file.epub** EPUB book
- **YouTube/Vimeo URL** Video transcript
- **./directory** Local codebase analysis
- **file.yaml** with OpenAPI API spec
- **file.pptx** PowerPoint
- **file.adoc** AsciiDoc
- **file.html** HTML page
- **file.rss** RSS/Atom feed
- **cmd.1** Man page
- **URL** (https://...) Documentation scraping
- **owner/repo** or github.com URL GitHub repo analysis
- **file.pdf** PDF extraction
- **file.ipynb** Jupyter notebook
- **file.docx** Word document
- **file.epub** EPUB book
- **YouTube/Vimeo URL** Video transcript
- **./directory** Local codebase analysis
- **file.yaml** with OpenAPI API spec
- **file.pptx** PowerPoint
- **file.adoc** AsciiDoc
- **file.html** HTML page
- **file.rss** RSS/Atom feed
- **cmd.1** Man page
## Examples
```
/skill-seekers:create-skill https://react.dev
/skill-seekers:create-skill pallets/flask --target langchain
/skill-seekers:create-skill ./docs/api.pdf --target openai
/skill-seekers:create-skill pallets/flask -p standard
/skill-seekers:create-skill ./docs/api.pdf
/skill-seekers:create-skill https://youtube.com/watch?v=abc123
```

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@@ -1,44 +1,41 @@
---
description: One-command skill installation — fetch config, scrape, enhance, package, and install
description: One-command skill creation and packaging for a target platform
---
# Install Skill
Complete end-to-end workflow: fetch a config (from preset or URL), scrape the source, optionally enhance with AI, package for the target platform, and install.
End-to-end workflow: create a skill from any source, then package it for a target LLM platform.
## Usage
```
/skill-seekers:install-skill <config-or-source> [--target <platform>] [--enhance]
/skill-seekers:install-skill <source> [--target <platform>] [--preset <level>]
```
## Instructions
When the user provides a source or config via `$ARGUMENTS`:
When the user provides a source via `$ARGUMENTS`:
1. Determine if the argument is a config preset name, config file path, or a direct source.
2. Use the `install_skill` MCP tool if available, or run the equivalent CLI commands:
1. Parse the arguments: extract source, `--target` (default: claude), `--preset` (default: quick).
2. Run the create command:
```bash
# For preset configs
skill-seekers install --config "$CONFIG" --target "$TARGET"
# For direct sources
skill-seekers create "$SOURCE" --target "$TARGET"
skill-seekers create "$SOURCE" --preset "$PRESET" --output ./output
```
3. If `--enhance` is specified, run enhancement after initial scraping:
3. Find the generated skill directory (look for the directory containing SKILL.md in ./output/).
4. Run the package command for the target platform:
```bash
skill-seekers enhance "$SKILL_DIR" --target "$TARGET"
skill-seekers package "$SKILL_DIR" --target "$TARGET"
```
4. Report the final skill location and how to use it.
5. Report what was created and where to find the packaged output.
## Target Platforms
`claude`, `openai`, `gemini`, `langchain`, `llamaindex`, `haystack`, `cursor`, `windsurf`, `continue`, `cline`, `markdown`
`claude` (default), `openai`, `gemini`, `langchain`, `llamaindex`, `haystack`, `cursor`, `windsurf`, `continue`, `cline`, `markdown`
## Examples
```
/skill-seekers:install-skill react --target claude
/skill-seekers:install-skill https://fastapi.tiangolo.com --target langchain --enhance
/skill-seekers:install-skill pallets/flask
/skill-seekers:install-skill https://react.dev --target claude
/skill-seekers:install-skill pallets/flask --target langchain -p standard
/skill-seekers:install-skill ./docs/api.pdf --target openai
```