Phy HTTP Cache Audit
LeoYeAI/openclaw-master-skills
HTTP caching header analyzer that checks Cache-Control directives, ETag/Last-Modified freshness, Vary correctness, CDN cache status (X-Cache, CF-Cache-Status, Age), and stale-while-revalidate…
nginx C module performance optimization and reliability guidelines based on the official nginx development guide.
Install Nginx C Module Perf
$ npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pproenca/dot-skills nginx-c-module-perf --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.experimental/nginx-c-module-perf .claude/skills/nginx-c-module-perf && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nginx-c-module-perf" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/nginx-c-module-perf into .claude/skills/nginx-c-module-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nginx-c-module-perf", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/nginx-c-module-perfType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pproenca/dot-skills nginx-c-module-perf --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.experimental/nginx-c-module-perf .agents/skills/nginx-c-module-perf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nginx-c-module-perf" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/nginx-c-module-perf into .agents/skills/nginx-c-module-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nginx-c-module-perf", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pproenca/dot-skills nginx-c-module-perf --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.experimental/nginx-c-module-perf .cursor/skills/nginx-c-module-perf && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nginx-c-module-perf" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/nginx-c-module-perf into .cursor/skills/nginx-c-module-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nginx-c-module-perf", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/pproenca/dot-skills.git --path skills/.experimental/nginx-c-module-perf--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pproenca/dot-skills nginx-c-module-perf --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.experimental/nginx-c-module-perf .gemini/skills/nginx-c-module-perf && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nginx-c-module-perf" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/nginx-c-module-perf into .gemini/skills/nginx-c-module-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nginx-c-module-perf", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install pproenca/dot-skills nginx-c-module-perfInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.experimental/nginx-c-module-perf .github/skills/nginx-c-module-perf && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nginx-c-module-perf" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/nginx-c-module-perf into .github/skills/nginx-c-module-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nginx-c-module-perf", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pproenca/dot-skills nginx-c-module-perf --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pproenca/dot-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.experimental/nginx-c-module-perf .opencode/skills/nginx-c-module-perf && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nginx-c-module-perf" agent skill from https://github.com/pproenca/dot-skills/tree/master/skills/.experimental/nginx-c-module-perf into .opencode/skills/nginx-c-module-perf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nginx-c-module-perf", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nginx-c-module-perf- GitHub stars
- 214
- Token cost
- ~2k tokens
- SKILL.md length
- 624 words
- Files
- 47 (incl. references, assets)
- Skills in repo
- 182
- Repo updated
- First seen
- Licence
- MIT
At a glance
nginx C module performance optimization and reliability guidelines based on the official nginx development guide.
- Works in 8 steps: Buffer & Zero-Copy I/O (CRITICAL) → Connection Efficiency (CRITICAL) → Lock Contention & Atomics (HIGH) → …
- Tasks involving buffer optimization
- SKILL.md covers When to Apply, Rule Categories by Priority, Quick Reference and How to Use, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Nginx C Module Perf is an agent skill from pproenca/dot-skills. nginx C module performance optimization and reliability guidelines based on the official nginx development guide. This skill should be used when optimizing nginx C modules for throughput, latency, memory efficiency, and operational resilience. Triggers on tasks involving buffer optimization, connection tuning, shared memory contention, error recovery, timeout strategy, caching implementation, worker process tuning, or logging performance in nginx C modules.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 49 other files, including reference files and assets (for example `assets/templates/_template.md`, `metadata.json` and `references/_sections.md`).
It sits in DevOps & Cloud, covering Cloud networking and Caching. It works with NGINX. The repository describes itself as: A collection of AI agent skills following the Agent Skills open format. The licence is MIT.
When your agent uses it
- Tasks involving buffer optimization
- Connection tuning
- Shared memory contention
- Timeout strategy
Example prompts
- “/nginx-c-module-perf”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cf93c57. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nginx C Module Perf loads about 2k tokens when it runs, and up to ~34k if it reads all its reference files. Until then it costs about 120 tokens; SKILL.md has 624 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from pproenca/dot-skills at commit cf93c57, republished under its MIT licence (© pproenca). 624 words, ~2,027 tokens.
Download SKILL.mdSave it as
.claude/skills/nginx-c-module-perf/SKILL.md (or your agent's skills folder). This skill also uses 46 other files; get the full folder from GitHub.- name
- nginx-c-module-perf
- description
- nginx C module performance optimization and reliability guidelines based on the official nginx development guide. This skill should be used when optimizing nginx C modules for throughput, latency, memory efficiency, and operational resilience. Triggers on tasks involving buffer optimization, connection tuning, shared memory contention, error recovery, timeout strategy, caching implementation, worker process tuning, or logging performance in nginx C modules.
nginx.org C Module Performance & Reliability Best Practices
Comprehensive performance optimization and reliability guide for nginx C modules, derived from the official nginx development documentation and production engineering experience. Contains 43 rules across 8 categories, prioritized by impact to guide automated optimization and resilience improvements.
Companion skill: This skill complements nginx-c-modules which covers correctness (memory safety, request lifecycle, configuration). This skill covers performance optimization and operational reliability.
When to Apply
Reference these guidelines when:
- Optimizing nginx C module throughput and latency
- Reducing buffer copies and enabling zero-copy I/O paths
- Tuning connection pooling and socket options
- Minimizing shared memory lock contention across workers
- Implementing graceful error recovery and fallback responses
- Configuring upstream timeouts and retry strategies
- Building in-module response caches with shared memory
- Tuning worker process behavior under load
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Buffer & Zero-Copy I/O | CRITICAL | buf- |
| 2 | Connection Efficiency | CRITICAL | conn- |
| 3 | Lock Contention & Atomics | HIGH | lock- |
| 4 | Error Recovery & Resilience | HIGH | err- |
| 5 | Timeout & Retry Strategy | MEDIUM-HIGH | timeout- |
| 6 | Response Caching | MEDIUM | cache- |
| 7 | Worker & Process Tuning | MEDIUM | worker- |
| 8 | Logging & Metrics | LOW-MEDIUM | log- |
Quick Reference
1. Buffer & Zero-Copy I/O (CRITICAL)
buf-chain-reuse- Reuse Buffer Chain Links Instead of Allocating New Onesbuf-file-sendfile- Use File Buffers for Static Content Instead of Reading into Memorybuf-avoid-copy- Avoid Copying Buffers When Passing Through Filter Chainbuf-coalesce-small- Coalesce Small Buffers Before Outputbuf-shadow-reference- Use Shadow Buffers for Derived Data Instead of Full Copiesbuf-recycled-flag- Mark Buffers as Recycled for Upstream Response Reuse
2. Connection Efficiency (CRITICAL)
conn-reusable-queue- Mark Idle Connections as Reusable for Pool Recoveryconn-drain-pressure- Handle Connection Drain Under Memory Pressureconn-tcp-nodelay- Control TCP_NODELAY for Latency-Sensitive Responsesconn-prealloc-pool- Size Connection Pool to Avoid Runtime Reallocationconn-close-linger- Use Lingering Close for Graceful Connection Shutdownconn-ssl-session-reuse- Enable SSL Session Caching in Upstream Connections
3. Lock Contention & Atomics (HIGH)
lock-minimize-critical- Minimize Critical Section Duration in Shared Memorylock-atomic-counters- Use Atomic Operations for Simple Counters Instead of Mutexlock-trylock-fallback- Use ngx_shmtx_trylock with Fallback to Avoid Worker Stallslock-per-worker-aggregate- Aggregate Per-Worker Counters to Reduce Shared Memory Accesslock-alloc-outside- Perform Slab Allocation Outside Hot Pathlock-rw-pattern- Use Read-Copy-Update Pattern for Read-Heavy Shared Data
Show full SKILL.md (274 more words)Show less
4. Error Recovery & Resilience (HIGH)
err-cache-errno- Cache ngx_errno Immediately to Prevent Overwriteerr-fallback-response- Return Fallback Response When Upstream Failserr-resource-exhaustion- Handle Pool and Slab Allocation Exhaustion Gracefullyerr-blocked-counter- Use Blocked Counter to Prevent Premature Request Destructionerr-connection-error-check- Check Connection Error Flag Before I/O Operationserr-log-once-pattern- Limit Repeated Error Logging to Prevent Log Storms
5. Timeout & Retry Strategy (MEDIUM-HIGH)
timeout-upstream-phases- Set Separate Timeouts for Connect, Send, and Read Phasestimeout-retry-next-upstream- Configure next_upstream Mask for Retriable Failurestimeout-backoff-reconnect- Use Exponential Backoff for Upstream Reconnection Attemptstimeout-client-body-limit- Set Client Body Timeout to Bound Slow-Client Resource Usage
6. Response Caching (MEDIUM)
cache-shm-lru- Implement LRU Eviction in Shared Memory Cache Zonescache-stampede-lock- Prevent Cache Stampede with Single-Flight Patterncache-key-hash- Use ngx_hash for Fixed Cache Key Lookupscache-ttl-atomic- Use Atomic Timestamp Comparison for TTL Expiry Checkscache-conditional-store- Cache Only Successful Responses to Avoid Negative Cache Pollution
7. Worker & Process Tuning (MEDIUM)
worker-accept-mutex- Understand Accept Mutex Impact on Connection Distributionworker-connection-prealloc- Use Pre-Allocated Free List for Module Data Structuresworker-graceful-shutdown- Handle Worker Shutdown Signal Without Data Lossworker-single-process-debug- Support Single-Process Mode for Debuggingworker-cycle-conf- Access Configuration Through Cycle for Process-Level Operations
8. Logging & Metrics (LOW-MEDIUM)
log-level-guard- Guard Expensive Debug Argument Computation Behind Level Checklog-connection-context- Attach Module Context to Connection Log for Tracinglog-shared-metrics- Collect Metrics via Shared Memory Counterslog-error-dedup- Deduplicate Repeated Error Messages with Throttlinglog-action-string- Set Log Action String for Operation Context
How to Use
Read individual reference files for detailed explanations and code examples:
- Section definitions - Category structure and impact levels
- Rule template - Template for adding new rules
Reference Files
| File | Description |
|---|---|
| references/_sections.md | Category definitions and ordering |
| assets/templates/_template.md | Template for new rules |
| metadata.json | Version and reference information |
© pproenca, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 46 other files (references, assets) in skills/.experimental/nginx-c-module-perf of pproenca/dot-skills.
- SKILL.md
- assets/templates/_template.md
- metadata.json
- references/_sections.md
- references/buf-avoid-copy.md
- references/buf-chain-reuse.md
- references/buf-coalesce-small.md
- references/buf-file-sendfile.md
- references/buf-recycled-flag.md
- references/buf-shadow-reference.md
- references/cache-conditional-store.md
- references/cache-key-hash.md
- references/cache-shm-lru.md
- references/cache-stampede-lock.md
- references/cache-ttl-atomic.md
- references/conn-close-linger.md
- references/conn-drain-pressure.md
- references/conn-prealloc-pool.md
- … and 29 more
Open the folder on GitHubat commit cf93c57
Compare with similar skills
Nginx C Module Perf next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nginx C Module Perf this skillpproenca/dot-skills | 214 | — | ~2k | Automated safety check: Pass | MIT | |
| Phy HTTP Cache AuditLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Nginx To Higress Migrationhigress-group/higress | 9.5k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| NGINX Ingress Controller Feature Checklistsnginx/kubernetes-ingress | 5.1k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| NGINX Ingress Policy CRD Guidenginx/kubernetes-ingress | 5.1k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| KubeSphere Gateway Managementkubesphere/kubesphere | 17k | — | ~2.9k | Automated safety check: Pass | Custom licence |
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Works with
Categories
Questions about Nginx C Module Perf
What does Nginx C Module Perf do?
nginx C module performance optimization and reliability guidelines based on the official nginx development guide. Nginx C Module Perf is an agent skill from pproenca/dot-skills. nginx C module performance optimization and reliability guidelines based on the official nginx development guide.
When should I use Nginx C Module Perf?
Nginx C Module Perf fits situations like: tasks involving buffer optimization; connection tuning; shared memory contention; timeout strategy.
How do I install Nginx C Module Perf in Claude Code?
Run `npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a claude-code`. Or copy the skill folder (skills/.experimental/nginx-c-module-perf in pproenca/dot-skills) into .claude/skills/nginx-c-module-perf in your project. Claude Code loads it when a task matches its description.
How do I install Nginx C Module Perf in Codex?
Run `npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a codex`. Or copy the skill folder (skills/.experimental/nginx-c-module-perf in pproenca/dot-skills) into .agents/skills/nginx-c-module-perf in your project. Codex loads it when a task matches its description.
Can I use Nginx C Module Perf in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add pproenca/dot-skills --skill nginx-c-module-perf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nginx-c-module-perf, .gemini/skills/nginx-c-module-perf, .github/skills/nginx-c-module-perf and .opencode/skills/nginx-c-module-perf in your project.
What does Nginx C Module Perf need to run?
SKILL.md names no scripts, command-line tools or credentials: Nginx C Module Perf is instructions for the agent only.
Does Nginx C Module Perf access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Nginx C Module Perf safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Nginx C Module Perf use?
Nginx C Module Perf is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nginx C Module Perf use?
About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 32k tokens, read only when the agent opens those files.
What are the alternatives to Nginx C Module Perf?
Skills that share tags, products or a category with Nginx C Module Perf: Phy HTTP Cache Audit (LeoYeAI/openclaw-master-skills, 2.2k stars), Nginx To Higress Migration (higress-group/higress, 9.5k stars), NGINX Ingress Controller Feature Checklists (nginx/kubernetes-ingress, 5.1k stars) and NGINX Ingress Policy CRD Guide (nginx/kubernetes-ingress, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nginx C Module Perf?
pproenca (a GitHub user) maintains it in pproenca/dot-skills, which has 214 GitHub stars. The repository holds 182 skills in this directory. The repository was last updated on August 15, 2026.
Source: pproenca/dot-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.