> pi can create skills. Ask it to build one for your use case.
# Skills
Skills are self-contained capability packages that the agent loads on-demand. A skill provides specialized workflows, setup instructions, helper scripts, and reference documentation for specific tasks.
Pi implements the [Agent Skills standard](https://agentskills.io/specification).
**Example use cases:**
- Web search and content extraction (Brave Search API)
- Browser automation via Chrome DevTools Protocol
- Google Calendar, Gmail, Drive integration
- PDF/DOCX processing and creation
- Speech-to-text transcription
- YouTube transcript extraction
See [Skill Repositories](#skill-repositories) for ready-to-use skills.
## When to Use Skills
| Need | Solution |
|------|----------|
| Always-needed context (conventions, commands) | AGENTS.md |
| User triggers a specific prompt template | Slash command |
| Additional tool directly callable by the LLM (like read/write/edit/bash) | Custom tool |
| On-demand capability package (workflows, scripts, setup) | Skill |
Skills are loaded when:
- The agent decides the task matches a skill's description
- The user explicitly asks to use a skill (e.g., "use the pdf skill to extract tables")
**Good skill examples:**
- Browser automation with helper scripts and CDP workflow
- Google Calendar CLI with setup instructions and usage patterns
- PDF processing with multiple tools and extraction patterns
- Speech-to-text transcription with API setup
**Not a good fit for skills:**
- "Always use TypeScript strict mode" → put in AGENTS.md
- "Review my code" → make a prompt template
- Need user confirmation dialogs or custom TUI rendering → make a custom tool
## Skill Structure
A skill is a directory with a `SKILL.md` file. Everything else is freeform. Example structure:
```
my-skill/
├── SKILL.md # Required: frontmatter + instructions
├── scripts/ # Helper scripts (bash, python, node)
│ └── process.sh
├── references/ # Detailed docs loaded on-demand
│ └── api-reference.md
└── assets/ # Templates, images, etc.
└── template.json
```
### SKILL.md Format
```markdown
---
name: my-skill
description: What this skill does and when to use it. Be specific.
---
# My Skill
## Setup
Run once before first use:
\`\`\`bash
cd /path/to/skill && npm install
\`\`\`
## Usage
\`\`\`bash
./scripts/process.sh
\`\`\`
## Workflow
1. First step
2. Second step
3. Third step
```
### Frontmatter Fields
Per the [Agent Skills specification](https://agentskills.io/specification#frontmatter-required):
| Field | Required | Constraints |
|-------|----------|-------------|
| `name` | Yes | Max 64 chars. Lowercase a-z, 0-9, hyphens only. Must match parent directory name. |
| `description` | Yes | Max 1024 chars. What the skill does and when to use it. |
| `license` | No | License name or reference to bundled license file. |
| `compatibility` | No | Max 500 chars. Environment requirements (system packages, network access, etc.). |
| `metadata` | No | Arbitrary key-value mapping for additional metadata. |
| `allowed-tools` | No | Space-delimited list of pre-approved tools (experimental). |
| `disable-model-invocation` | No | When `true`, the skill is hidden from the system prompt. The model cannot invoke it agentically; users must use `/skill:name`. |
#### Name Validation
The `name` field must:
- Be 1-64 characters
- Contain only lowercase letters (a-z), numbers (0-9), and hyphens
- Not start or end with a hyphen
- Not contain consecutive hyphens (--)
- Match the parent directory name exactly
Valid: `pdf-processing`, `data-analysis`, `code-review`
Invalid: `PDF-Processing`, `-pdf`, `pdf--processing`
#### Description Best Practices
The `description` is critical. It determines when the agent loads the skill. Be specific about both what it does and when to use it.
Good:
```yaml
description: Extracts text and tables from PDF files, fills PDF forms, and merges multiple PDFs. Use when working with PDF documents or when the user mentions PDFs, forms, or document extraction.
```
Poor:
```yaml
description: Helps with PDFs.
```
### File References
Use relative paths from the skill directory:
```markdown
See [the reference guide](references/REFERENCE.md) for details.
Run the extraction script:
\`\`\`bash
./scripts/extract.py input.pdf
\`\`\`
```
## Skill Locations
Skills are discovered from these locations (later wins on name collision):
1. `~/.pi/agent/skills/` (global)
2. `/.pi/skills/` (project)
3. Paths listed in `settings.json` under `skills`
4. CLI `--skill` paths (additive even with `--no-skills`)
Discovery rules for each directory:
- Direct `.md` files in the root
- Recursive `SKILL.md` files under subdirectories
## Configuration
Configure skill paths in `~/.pi/agent/settings.json`:
```json
{
"skills": ["~/my-skills-repo", "/path/to/skill/SKILL.md"],
"enableSkillCommands": true
}
```
Use project-local settings in `/.pi/settings.json` to scope skills to a single project.
| Setting | Default | Description |
|---------|---------|-------------|
| `skills` | `[]` | Additional skill file or directory paths |
| `enableSkillCommands` | `true` | Register skills as `/skill:name` commands |
### CLI Additions
Use `--skill` to add skills for a specific invocation:
```bash
pi --skill ~/my-skills/terraform
pi --skill ./skills/custom-skill/SKILL.md
```
Use `--no-skills` to disable automatic discovery (CLI `--skill` paths still load).
## How Skills Work
1. At startup, pi scans skill locations and extracts names + descriptions
2. The system prompt includes available skills in XML format
3. When a task matches, the agent uses `read` to load the full SKILL.md
4. The agent follows the instructions, using relative paths to reference scripts/assets
This is progressive disclosure: only descriptions are always in context, full instructions load on-demand.
## Skill Commands
Skills are automatically registered as slash commands with a `/skill:` prefix:
```bash
/skill:brave-search # Load and execute the brave-search skill
/skill:pdf-tools extract # Load skill with arguments
```
Arguments after the command name are appended to the skill content as `User: `.
Toggle skill commands via `/settings` or in `settings.json`:
```json
{
"enableSkillCommands": true
}
```
| Setting | Default | Description |
|---------|---------|-------------|
| `enableSkillCommands` | `true` | Register skills as `/skill:name` commands |
## Validation Warnings
Pi validates skills against the Agent Skills standard and warns (but still loads) non-compliant skills:
- Name doesn't match parent directory
- Name exceeds 64 characters
- Name contains invalid characters
- Name starts/ends with hyphen or has consecutive hyphens
- Description missing or exceeds 1024 characters
- Unknown frontmatter fields
Name collisions (same name from different locations) warn and keep the first skill found.
## Example: Web Search Skill
```
brave-search/
├── SKILL.md
├── search.js
└── content.js
```
**SKILL.md:**
```markdown
---
name: brave-search
description: Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content.
---
# Brave Search
## Setup
\`\`\`bash
cd /path/to/brave-search && npm install
\`\`\`
## Search
\`\`\`bash
./search.js "query" # Basic search
./search.js "query" --content # Include page content
\`\`\`
## Extract Page Content
\`\`\`bash
./content.js https://example.com
\`\`\`
```
## Skill Repositories
For inspiration and ready-to-use skills:
- [Anthropic Skills](https://github.com/anthropics/skills) - Official skills for document processing (docx, pdf, pptx, xlsx), web development, and more
- [Pi Skills](https://github.com/badlogic/pi-skills) - Skills for web search, browser automation, Google APIs, transcription
## Disabling Skills
CLI:
```bash
pi --no-skills
```
Use `--no-skills` to disable automatic discovery while keeping explicit `--skill` paths.