# Analyze Function

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- Skill: `mihail-gribov/analyze-function` (Agent Skill)
- Install (CLI): `npx skillmds@latest add mihail-gribov/analyze-function`
- Raw SKILL.md: https://api.skillmd.com/api/skills/mihail-gribov/analyze-function/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: mihail-gribov (https://skillmd.com/u/mihail-gribov)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/mihail-gribov/analyze-function

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# analyze-function

The user's request supplies the following values:

- `func_name` (required) - Function name for performance analysis

Placeholders such as `{func_name}` below refer to these values.

## Procedure

Conduct performance diagnostics of function **{func_name}**:

**Do not change the code** — only analysis and recommendations.

**If the function is suspiciously slow (e.g. heavy loops, hacky algorithms):**
1. Conduct analysis:
   - Time complexity (O‑n, O‑n log n…) 
   - Memory consumption (successful case vs bad case)
   - Loops, copying, comprehensions, recursions
2. Suggest profiling (if this turns out to be useful):
   - `cProfile`, `memory-profiler`, `psutil`, `timeit`
   - If profiling is not needed — skip
3. Identify bottlenecks, indicate possible improvements with justifications, risk and benefit assessments

**If the function is well implemented (no obvious bottlenecks):**
- Give status `"OK"` and brief "function looks good, no obvious issues"

**Sometimes you can suggest a quick fix:**  
If an obvious targeted optimization is evident, add it as a **patch line** (with replacement only within this function). 
- Ask the user: *"Allow insertion of this change?"*  
If the user agrees — insert the patch.
Without consent — just suggest the patch in the report