Install
$ agentstack add skill-crewforth-crewforth-performance ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Performance
Trigger phrases: "performance", "slow", "optimization", "profiling", "N+1", "latency", "memory leak", "leaked memory", "load test", "seconds to open", "seconds to respond", "anything slower", "make it slower"
Core rule: measure first, optimize later. Optimization without measurement is a guess; it usually speeds up the wrong place and adds complexity. Stack-agnostic; do a web search when you need the profiling tool/library.
Method (in order)
- Set a target — what is "acceptable"? (p95 latency, throughput, memory ceiling). Numeric.
- Measure — find the real bottleneck with a profiler/APM/benchmark; don't start from a guess.
- Fix the single most expensive thing — Amdahl: speeding up a 5% path by 2x is wasted; target the hot path.
- Measure again — did it actually improve, is there a regression.
- Stop — once you hit the target, finish; no endless micro-optimization.
Common bottlenecks
Catalog of common bottlenecks + fixes to consult: references/bottlenecks.md.
Measurement tips
- Measure under load (a single request misleads); with a realistic data volume.
- Not p50, but p95/p99 — tail latency is what burns the user.
- Don't trust micro-benchmarks; an end-to-end profile is more honest.
Invariant rules
- Don't optimize without measuring — a change without a profile = a guess.
- Target the hot path — don't speed up the small share.
- Don't break correctness — don't sacrifice behavior/edge cases for speed.
- Complexity budget — make an optimization that seriously hurts readability only if there is a measured gain; comment it.
- Stop once you hit the target — YAGNI; no premature/excessive optimization.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: crewforth
- Source: crewforth/crewforth
- License: MIT
- Homepage: https://crewforth.com/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.