tscircuit-performance-improvement-workflow
tscircuit-performance-improvement-workflow is a Runtime diagnostics & profiling skill for AI agents, published by tscircuit in the tscircuit-autorouter repository on GitHub. Skillspace rates tscircuit-performance-improvement-workflow D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Dataset- and location-agnostic loop to improve the tscircuit autorouter's solve performance. Primary target is lowering P50 and P95 solve time on a user-chosen dataset, but any rise in solve rate (Completed %) always wins. Asks the user which dataset and where to run (local vs Blacksmith), then drives baseline → idea backlog → one git worktree + subagent per idea → re-benchmark → keep/reject, serializing benchmark runs locally and parallelizing them on Blacksmith CI.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 70
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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