Coding & Debugging
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# Professionals
engineers
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10,837 skills indexed with the new KISS metadata standard.
Showing 24 of 10,837Categories: Productivity, Research & Learning, Coding & Debugging, Data
Productivity
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(unchanged – tasks
research
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Coding & Debugging
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**Domain Focus:** Primarily software development
system architecture
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Productivity
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For complex tasks
break operations into clear
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Productivity
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For tasks with branching logic
guide Claude through decision points:
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Coding & Debugging
PromptBeginner5 minmarkdown
- **Use cases**: Database schemas
API documentation
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Coding & Debugging
PromptBeginner5 minmarkdown
**Medium freedom (pseudocode or scripts with parameters)**: Use when a preferred pattern exists
some variation is acceptable
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Productivity
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specialized knowledge
workflows
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Productivity
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description: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge
workflows
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Data
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<question>Calculate the population standard deviation of this dataset: [12
15
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Productivity
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result = await evaluate_single_task(client
model
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Productivity
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When given a task
you MUST:
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Coding & Debugging
PromptBeginner5 minmarkdown
Before finalizing your Python MCP server implementation
ensure:
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Coding & Debugging
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- [ ] Tools enable complete workflows
not just API endpoint wrappers
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Data
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async def query_data(query: str
ctx: Context) -> str:
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Data
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metadata: Dict[str
Any]
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Data
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Expose data as resources for efficient
template-based access:
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Coding & Debugging
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return await api_call(resource_id
api_key)
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Coding & Debugging
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- `ctx.log_info(message
data)` / `ctx.log_error()` / `ctx.log_debug()` - Logging
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Productivity
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FastMCP can automatically inject a `Context` parameter into tools for advanced capabilities like logging
progress reporting
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Data
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users = data.get(users
[])
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Data
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total = data.get(total
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Coding & Debugging
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async def _make_api_request(endpoint: str
method: str = GET
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Data
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project management
and data export capabilities.
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