diff --git a/distribution/claude-plugin/commands/create-skill.md b/distribution/claude-plugin/commands/create-skill.md
index 7c0a584..6130871 100644
--- a/distribution/claude-plugin/commands/create-skill.md
+++ b/distribution/claude-plugin/commands/create-skill.md
@@ -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
 ```
diff --git a/distribution/claude-plugin/commands/install-skill.md b/distribution/claude-plugin/commands/install-skill.md
index 63595fa..0d9c1de 100644
--- a/distribution/claude-plugin/commands/install-skill.md
+++ b/distribution/claude-plugin/commands/install-skill.md
@@ -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
 ```