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Perf Code Paths

  • 62 installs
  • 931 repo stars
  • Updated July 26, 2026
  • avifenesh/agentsys

perf-code-paths is a Claude Code skill that maps entrypoints and likely hot files and symbols for a performance scenario before profiling.

About

perf-code-paths identifies the likely implementation paths for a performance scenario before profiling starts. It uses repo intelligence or grep to find entrypoints and handlers, then lists the top candidate files and symbols tied to the scenario with a short reason for each. A developer uses it to narrow where to profile so time is not wasted. It focuses on Rust, Java, JS/TS, Go and Python and keeps to the most relevant 10 to 15 files.

  • Maps likely hot files, entrypoints and symbols before profiling
  • Uses repo-intel or grep for entrypoints and handlers
  • Supports Rust, Java, JS/TS, Go and Python and keeps to the top 10-15 files

Perf Code Paths by the numbers

  • 62 all-time installs (skills.sh)
  • Ranked #289 of 596 Debugging skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

perf-code-paths capabilities & compatibility

Capabilities
perf profiler · perf benchmarker · perf analyzer
Use cases
debugging · research
From the docs

What perf-code-paths says it does

Identify likely implementation paths for a performance scenario.
SKILL.md
Use repo-intel if available; otherwise use grep for entrypoints and handlers.
SKILL.md
Focus only on supported languages (Rust, Java, JS/TS, Go, Python).
SKILL.md
npx skills add https://github.com/avifenesh/agentsys --skill perf-code-paths

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Listed on Skillselion
Installs62
repo stars931
Last updatedJuly 26, 2026
Repositoryavifenesh/agentsys

What it does

Map the likely hot files and symbols for a perf scenario before profiling.

Who is it for?

Narrowing the profiling target to the most relevant files and symbols.

Skip if: Actually running the profiler or benchmarks.

When should I use this skill?

You are mapping code paths, entrypoints, and likely hot files before profiling.

What you get

  • A keyword list and candidate file/symbol paths with evidence

By the numbers

  • Keeps to the most relevant 10-15 files
  • Supports 5 languages (Rust, Java, JS/TS, Go, Python)

Files

SKILL.mdMarkdownGitHub ↗

perf-code-paths

Identify likely implementation paths for a performance scenario.

Follow docs/perf-requirements.md as the canonical contract.

Required Steps

1. Use repo-intel if available; otherwise use grep for entrypoints and handlers. 2. List top candidate files/symbols tied to the scenario. 3. Include imports/exports or call chains when relevant.

Output Format

keywords: <comma-separated list>
paths:
  - file: <path>
    symbols: [<symbol1>, <symbol2>]
    evidence: <short reason>

Constraints

  • Focus only on supported languages (Rust, Java, JS/TS, Go, Python).
  • Keep to the most relevant 10-15 files.

Related skills

Debuggingbackendtesting

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