SWE Performance Hunt
Skill Verified ActiveHunts for concrete performance bottlenecks in a scoped repository surface using profiler output, benchmarks, query plans, traces, bundle analysis, or repo evidence, then returns the smallest high-value follow-up experiments or fixes. Use when a user says `find performance bottlenecks`, `why is this slow`, `profile this flow`, `hunt hot paths`, or asks for a recurring performance review. Do NOT use for live incident response, generic observability audits, speculative micro-optimization, or broad architecture rewrites with no bottleneck evidence.
To help users find concrete performance bottlenecks in their codebases and generate a ranked list of actionable, low-risk follow-up experiments or fixes.
Features
- Hunts for performance bottlenecks in scoped repositories
- Analyzes profiler output, benchmarks, traces, and query plans
- Identifies high-value follow-up experiments or fixes
- Distinguishes measured bottlenecks from weak suspicions
- Ranks findings by user and system impact
Use Cases
- Find performance bottlenecks in a service, job, page, or query path
- Understand why a specific flow is slow
- Audit recent performance regressions with concrete evidence
- Rank hot paths before starting optimization work
Non-Goals
- Live incident response or active outage triage
- Generic observability coverage audits
- Speculative micro-optimization with no measured impact
- Broad architecture rewrites without bottleneck evidence
Workflow
- Define the performance surface (scope, metric)
- Gather the strongest evidence first (profiler, benchmarks, traces)
- Map the critical path (entry points, loops, boundaries)
- Separate bottlenecks from suspicion (strong, moderate, weak evidence)
- Rank by user and system impact
- Propose minimal follow-up work (surface, evidence, cause, next step, validation)
- Call out unknowns (missing data, inferred findings)
Installation
/plugin install swe-skills@ckorhonen-swe-skillsQuality Score
VerifiedTrust Signals
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