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Magnus Hedemark
48a67bb0a1
Greenfield SkillOpt: 3 epochs for CrewAI skill. Role/Goal/Backstory agent model, sequential/hierarchical processes. 11 files: SKILL.md, 6 references, 3 templates, 1 script.
54 lines
1.6 KiB
Markdown
54 lines
1.6 KiB
Markdown
# CrewAI Task Design
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## Task Parameters
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| Parameter | Required | Description |
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|-----------|----------|-------------|
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| `description` | Yes | Clear description of what to do |
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| `expected_output` | Yes | Description of what success looks like |
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| `agent` | Yes | The agent assigned to this task |
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| `tools` | No | Task-specific tools (overrides agent defaults) |
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| `context` | No | List of tasks whose outputs are passed as context |
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| `callback` | No | Function called after task completion |
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| `human_input` | No | Request human input before marking done |
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## Task Examples
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```python
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from crewai import Task
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research = Task(
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description="Research the topic thoroughly. Find at least 5 sources.",
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expected_output="A comprehensive research brief with key findings and source citations.",
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agent=researcher,
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)
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write_report = Task(
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description="Write a detailed report based on the research provided.",
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expected_output="A well-structured markdown report with executive summary.",
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agent=writer,
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context=[research], # Pass research output as context
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)
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```
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## Task Context Passing
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Pass outputs from earlier tasks to later tasks using `context`:
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```python
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task1 = Task(description="Research", expected_output="Research brief", agent=researcher)
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task2 = Task(description="Write", expected_output="Report", agent=writer, context=[task1])
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# task2 receives task1's output automatically when the crew runs
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```
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## Human Input
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```python
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feedback_task = Task(
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description="Review the generated report",
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expected_output="Approved or revised report",
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agent=reviewer,
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human_input=True, # Pause and ask for human input
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)
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```
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