Individual skill
code-changes
Change the user's own program, on their machine or through GitHub. Use when a request needs a change to the user's code (instrument tracing, wire the SDK, fix the agent behind a failing scenario, add a run parameter to a connected agent, version a hardcoded prompt) and not when the platform alone can do it (create a scenario, an evaluation, a prompt version, read traces).
services/langyagent/internal/assets/skills/code-changes/SKILL.md
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- Matches the observed repository HEAD
- Yes
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- Yes
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- No
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- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 5,019
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- analytics Repository topic
- datasets Repository topic
- evaluation Repository topic
- gpt Repository topic
- llm Repository topic
- observability Repository topic
- openai Repository topic
- prompt-engineering Repository topic
- dspy Repository topic
- engineering Derived category
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# Code changes
**Purpose**: Land a change in the user's program as a branch and a pull request, from a folder they share from their machine or through the LangWatch GitHub App.
**When to use**: the request changes the user's code. The decision table below says which requests do.
## Does this need code access?
| Request | Needs code | Why |
| --- | --- | --- |
| Instrument tracing, wire the SDK, add spans, capture metadata | yes | the change lives in their program |
| Fix the agent behind a failing scenario or a bad trace | yes | the behaviour lives in their program |
| Add or change a run parameter on a connected agent | yes | the parameter is declared in the connect call |
| Run a scenario against an account, plan, environment or fixture the connected agent does not accept yet | yes | the agent must declare the run parameter first; the scenario uses it afterwards |