Problem Analysis

Name: Problem Analysis
Author: akiselev

Checked

akiselev·vlatest·other·Apache-2.0

Analyzes complex problems, identifying root causes, potential solutions, and associated risks with detailed reasoning.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add akiselev/qt-llm-template --skill problem-analysis -a claude-code

Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

akiselev

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned 30 Sept 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned akiselev/qt-llm-template at 6855e82e0c.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 6855e82e0c
Manifest: .claude/skills/problem-analysis/SKILL.md
Scanned: 3 files, 179 lines

This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.

What each check looks for →

About this skill

What it does

This skill helps AI agents break down complex problems into smaller, more manageable parts. It can identify root causes and potential solutions by analyzing a given situation or issue. The agent utilizes this analysis to suggest actionable steps or further investigation areas.

When to use it

When facing a vague or ill-defined problem requiring clarification.
To understand the underlying reasons for an unexpected outcome in a process.
For troubleshooting technical issues where the cause is not immediately apparent.
To evaluate potential risks and opportunities associated with a new initiative.

Key capabilities

Problem decomposition
Root cause identification
Solution suggestion
Actionable steps generation

Example prompts

"Analyze this situation: [paste detailed description of a problem]."
"What are the possible root causes for [specific issue]?"
"Break down the problem of [complex task] into smaller steps."

Tips & gotchas

The quality of the analysis depends heavily on the detail and clarity provided in the initial prompt. Be as specific as possible when describing the problem to get more useful results.