Check Connection Pool logo

Check Connection Pool

Community
dykyi-roman
check-connection-pool

Analyzes PHP code for connection pool issues. Detects connection leaks, improper pool sizing, missing connection release, timeout issues.

Overview

Publisherdykyi-roman
Repositoryawesome-claude-code
Skill namecheck-connection-pool
Stars
98
Forks
25
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dykyi-roman on GitHub. Read the source before you install it.

Installation

Install the Check Connection Pool AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dykyi-roman/awesome-claude-code.git /tmp/awesome-claude-code
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-code/skills/check-connection-pool .claude/skills/check-connection-pool
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Check Connection Pool in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Check Connection Pool on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Check Connection Pool is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Connection Pool Performance Analysis

Analyze PHP code for connection pool issues and database connection management problems.

When to Use

  • Reviewing database-heavy PHP applications
  • Investigating connection exhaustion or memory leaks
  • Auditing long-running workers (queue consumers, daemons)
  • Checking Doctrine EntityManager lifecycle issues
  • Reviewing HTTP client usage patterns

Analysis Approach

  1. Scan for connection creation patterns (PDO, Redis, Guzzle)
  2. Check loop bodies for repeated connection instantiation
  3. Verify try/finally cleanup on pool acquire/release
  4. Check timeout configuration on all connection types
  5. Review persistent connection usage and state reset
  6. Audit worker processes for connection refresh logic

Detection Rules

IDPatternWhat to Look For
CP-01Connection leaknew PDO without cleanup in exception/early-return paths
CP-02Connection in loopnew PDO/new Redis/new Client inside foreach/while
CP-03Missing timeoutPDO without ATTR_TIMEOUT, Redis without connect timeout
CP-04Persistent misuseATTR_PERSISTENT => true without shutdown cleanup
CP-05Pool exhaustionMultiple connections opened without reuse
CP-06Missing finally$pool->release() not in finally block
CP-07State not resetConnection returned to pool with modified session state
CP-08Doctrine issuesEntityManager not cleared, long-held transactions
CP-09Worker stale connLong-running worker without connection refresh
CP-10HTTP no poolingfile_get_contents in loop, no keep-alive headers

Grep Patterns

bash
# New connection in loops
Grep: "foreach.*\{[^}]*new PDO|while.*\{[^}]*new PDO" --glob "**/*.php" --multiline

# Missing connection close
Grep: "new Redis\(\)" --glob "**/*.php"

# Persistent connections
Grep: "ATTR_PERSISTENT" --glob "**/*.php"

# Connection without timeout
Grep: "new PDO\s*\([^)]+\)\s*;" --glob "**/*.php"

# Static connection storage
Grep: "static.*PDO|static.*connection" --glob "**/*.php"

Severity Classification

PatternSeverity
Connection in loopCritical
Connection leak (no finally)Critical
No connection timeoutMajor
Pool exhaustion riskMajor
Missing connection health checkMajor
Persistent connection misuseMinor
Static connection storageMinor

Output Format

markdown
### Connection Pool: [Description]

**Severity:** Critical/Major/Minor
**Location:** `file.php:line`
**Impact:** [Database overload, connection exhaustion, memory leak]

**Issue:**
[Description of the connection management problem]

**Code:**
[Problematic code snippet]

**Fix:**
[Proper connection management code]

**Expected Improvement:**
- Connection count: 100 -> 10 (pooled)
- Memory usage: -50% (connections reused)
- DB load: -80% (connection overhead eliminated)

References

  • references/patterns.md — detailed detection patterns with code examples, secure pool implementations, health check and worker refresh patterns

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Check Connection Pool AI skill do?

Analyzes PHP code for connection pool issues. Detects connection leaks, improper pool sizing, missing connection release, timeout issues.

Why use Check Connection Pool on TypingMind?

Because you install it once and use it with any model. Check Connection Pool is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Check Connection Pool in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dykyi-roman/awesome-claude-code/tree/master/skills/check-connection-pool. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Check Connection Pool?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Check Connection Pool?

As many as you like. As long as a model supports skills, you can use Check Connection Pool with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Check Connection Pool AI skill free?

Yes. It is published on GitHub by dykyi-roman under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇