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README.md

OpenDevin Skill Sets

This folder implements a skill/tool set agentskills for OpenDevin.

It is intended to be used by the agent inside sandbox. The skill set will be exposed as a pip package that can be installed as a plugin inside the sandbox.

The skill set can contain a bunch of wrapped tools for agent (many examples here), for example:

  • Audio/Video to text (these are a temporary solution, and we should switch to multimodal models when they are sufficiently cheap
  • PDF to text
  • etc.

Inclusion Criteria

We are walking a fine line here. We DON't want to wrap every possible python packages and re-teach agent their usage (e.g., LLM already knows pandas pretty well, so we don't really need create a skill that reads csv - it can just use pandas).

We ONLY want to add a new skill, when:

  • Such skill is not easily achievable for LLM to write code directly (e.g., edit code and replace certain line)
  • It involves calling an external model (e.g., you need to call a speech to text model, editor model for speculative editing)

Intended functionality

  • Tool/skill usage (through IPythonRunAction)

    # In[1]
    from agentskills import open_file, edit_file
    open_file("/workspace/a.txt")
    # Out[1]
    [SWE-agent open output]
    
    # In[2]
    edit_file(
    "/workspace/a.txt",
    start=1, end=3,
    content=(
        ("REPLACE TEXT")
    ))
    # Out[1]
    [SWE-agent edit output]
    
  • Tool/skill retrieval (through IPythonRunAction)

    # In[1]
    from agentskills import help_me
    
    help_me("I want to solve a task that involves reading a bunch of PDFs and reason about them")
    
    # Out[1]
    "Here are the top skills that may be helpful to you:
    - `pdf_to_text`: [documentation about the tools]
    ...
    "