# Analysis Skill

The analysis skill provides computational analysis via code execution. It writes and runs Python code in a sandboxed interpreter to answer questions that require computation, aggregation, or data traversal.

## `create_skill(db_path?, config?)`

```python
from haiku.rag.skills.analysis import create_skill

skill = create_skill(db_path=db_path, config=config)
```

| Parameter | Default | Description |
|-----------|---------|-------------|
| `db_path` | `None` | Path to LanceDB database. Falls back to `HAIKU_RAG_DB` env var, then config default. |
| `config` | `None` | `AppConfig` instance. If None, uses `get_config()`. |

## Tools

| Tool | Purpose |
|------|---------|
| `analyze(question, document?, filter?)` | Answer analytical questions using code execution |

**Parameters:**

- `question` — The analytical question to answer.
- `document` — Optional document ID or title to pre-load for analysis.
- `filter` — Optional SQL WHERE clause to filter documents.

## State

The skill manages an `AnalysisState` under the `"analysis"` namespace:

```python
class AnalysisState(BaseModel):
    document_filter: str | None = None
    analyses: list[AnalysisEntry] = []

class AnalysisEntry(BaseModel):
    question: str
    answer: str
    program: str | None = None
```

- **document_filter** — SQL WHERE clause applied to `analyze` calls (combined with any explicit `filter` parameter). Set this to scope analysis to specific documents.
- **analyses** — Each `analyze` call appends an `AnalysisEntry` with the question, answer, and executed program.

## Usage with RAG Skill

Combine both skills to give the agent full RAG + analysis capabilities:

```python
from haiku.rag.skills.rag import create_skill as create_rag_skill
from haiku.rag.skills.analysis import create_skill as create_analysis_skill
from haiku.skills.agent import SkillToolset
from haiku.skills.prompts import build_system_prompt
from pydantic_ai import Agent

rag = create_rag_skill(db_path=db_path)
analysis = create_analysis_skill(db_path=db_path)
toolset = SkillToolset(skills=[rag, analysis])

agent = Agent(
    "openai:gpt-4o",
    instructions=build_system_prompt(toolset.skill_catalog),
    toolsets=[toolset],
)
```

See the [Analysis Agent](../agents/analysis.md) documentation for details on how the underlying agent works.