Awesome-claude-plugins perf-code-paths
Use when mapping code paths, entrypoints, and likely hot files before profiling.
install
source · Clone the upstream repo
git clone https://github.com/ComposioHQ/awesome-claude-plugins
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComposioHQ/awesome-claude-plugins "$T" && mkdir -p ~/.claude/skills && cp -r "$T/perf/skills/code-paths" ~/.claude/skills/composiohq-awesome-claude-plugins-perf-code-paths-e5b895 && rm -rf "$T"
manifest:
perf/skills/code-paths/SKILL.mdsource content
perf-code-paths
Identify likely implementation paths for a performance scenario.
Follow
docs/perf-requirements.md as the canonical contract.
Required Steps
- Use repo-map if available; otherwise use grep for entrypoints and handlers.
- List top candidate files/symbols tied to the scenario.
- 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.