m10-performance SKILL.md skillA
m10-performance from moeru-ai/auv is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add moeru-ai/auv/m10-performance@git:20260725.8a8e541Pins git:20260725.8a8e541 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- moeru-ai/auv
- Path
.agents/skills/m10-performance/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260725.8a8e541, committed Jul 25, 2026
- Size
- 4,179 bytes
- Repository stars
- 202
- License
- Apache-2.0
CRITICAL: Use for performance optimization. Triggers: performance, optimization, benchmark, profiling, flamegraph, criterion, slow, fast, allocation, cache, SIMD, make it faster, 性能优化, 基准测试.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Performance Optimization > **Layer 2: Design Choices** ## Core Question **What's the bottleneck, and is optimization worth it?** Before optimizing: - Have you measured? (Don't guess) - What's the acceptable performance? - Will optimization add complexity? --- ## Performance Decision → Implementation | Goal | Design Choice | Implementation | |------|---------------|----------------| | Reduce allocations | Pre-allocate, reuse | `with_capacity`, object pools | | Improve cache | Contiguous data | `Vec`, `SmallVec` | | Parallelize | Data parallelism | `rayon`, threads | | Avoid copies | Zero-copy | References, `Cow<T>` | | Reduce indirection | Inline data | `smallvec`, arrays | --- ## Thinking Prompt Before optimizing: 1. **Have you measured?** - Profile first → flamegraph, perf - Benchmark → criterion, cargo bench - Identify actual hotspots 2. **What's the priority?** - Algorithm (10x-1000x improvement) - Data structure (2x-10x) - Allocation (2x-5x) - Cache (1.5x-3x) 3. **What's the trade-off?** - Complexity vs speed - Memory vs CPU - Latency vs throughput --- ## Trace Up ↑ To domain constraints (Layer 3): ``` …
Read the whole file at its exact version.
How to install
mdr add moeru-ai/auv/m10-performance@sha256:6661cd16c27d0317The line at the top of this page pins the label git:20260725.8a8e541, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_oh44sdy6gd4w3zss)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4179 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
moeru-ai/auv · 202 stars · license Apache-2.0 · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oh44sdy6gd4w3zss GET https://markdownregistry.com/api/v1/resolve?ref=moeru-ai/auv/m10-performance GET https://markdownregistry.com/api/v1/blob/6661cd16c27d031746985f8053c5515d50820d665957bde8a0660f4e36eb9bc7
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.