Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals.
Install User Segmentation Profiler
$ npx skills add MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MaxKmet/idea-validation-agents user-segmentation-profiler --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/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/user-segmentation-profiler .claude/skills/user-segmentation-profiler && 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 "user-segmentation-profiler" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/user-segmentation-profiler into .claude/skills/user-segmentation-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-segmentation-profiler", 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/MaxKmet/idea-validation-agents/tree/main/skills/user-segmentation-profilerType 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 MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MaxKmet/idea-validation-agents user-segmentation-profiler --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/user-segmentation-profiler .agents/skills/user-segmentation-profiler && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "user-segmentation-profiler" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/user-segmentation-profiler into .agents/skills/user-segmentation-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-segmentation-profiler", 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 MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MaxKmet/idea-validation-agents user-segmentation-profiler --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/user-segmentation-profiler .cursor/skills/user-segmentation-profiler && 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 "user-segmentation-profiler" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/user-segmentation-profiler into .cursor/skills/user-segmentation-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-segmentation-profiler", 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/MaxKmet/idea-validation-agents.git --path skills/user-segmentation-profiler--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 MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MaxKmet/idea-validation-agents user-segmentation-profiler --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/user-segmentation-profiler .gemini/skills/user-segmentation-profiler && 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 "user-segmentation-profiler" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/user-segmentation-profiler into .gemini/skills/user-segmentation-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-segmentation-profiler", 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 MaxKmet/idea-validation-agents user-segmentation-profilerInstalls 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 MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/user-segmentation-profiler .github/skills/user-segmentation-profiler && 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 "user-segmentation-profiler" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/user-segmentation-profiler into .github/skills/user-segmentation-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-segmentation-profiler", 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 MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MaxKmet/idea-validation-agents user-segmentation-profiler --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/user-segmentation-profiler .opencode/skills/user-segmentation-profiler && 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 "user-segmentation-profiler" agent skill from https://github.com/MaxKmet/idea-validation-agents/tree/main/skills/user-segmentation-profiler into .opencode/skills/user-segmentation-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-segmentation-profiler", 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
user-segmentation-profiler- GitHub stars
- 474
- Token cost
- ~422 tokens
- SKILL.md length
- 126 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals.
- Works in 5 steps: Ask the user about shipped apps (count,… → Ask about available time per week and… → Ask about risk tolerance (need income… → …
- Tasks that involve Performance optimization
- SKILL.md covers Purpose, Input, Process and Output, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
User Segmentation Profiler is an agent skill from MaxKmet/idea-validation-agents. Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals. Run once per user session before any workflow.
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Performance optimization. The repository describes itself as: AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in… The licence is MIT.
When your agent uses it
- Tasks that involve Performance optimization
Example prompts
- “Use the user-segmentation-profiler skill to classify the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals”
- “/user-segmentation-profiler”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Ask the user about shipped apps (count, revenue, outcome).
- Ask about available time per week and budget for ads/tools.
- Ask about risk tolerance (need income vs. exploring).
- Score against the tier rubric below.
- Write output to memory/user_profile.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 3a4c800. 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 (its code samples are json).
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
User Segmentation Profiler loads about 422 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 126 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 MaxKmet/idea-validation-agents at commit 3a4c800, republished under its MIT licence (© MaxKmet). 126 words, ~422 tokens.
Download SKILL.mdSave it as
.claude/skills/user-segmentation-profiler/SKILL.md (or your agent's skills folder).- name
- user-segmentation-profiler
- description
- Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals. Run once per user session before any workflow.
<!-- version: 0.1.0 | outputs: memory/user_profile.md -->Skill: user-segmentation-profiler
Purpose
Classify the user into one of three ICP tiers and capture their constraints so all subsequent skills can tailor their output and recommendations appropriately.
Input
- Conversation history or direct user answers about experience, budget, time, and goals.
- Optional: existing
memory/user_profile.md(update if already exists)
Process
<!-- TODO: Add full interview questions and scoring rubric -->- Ask the user about shipped apps (count, revenue, outcome).
- Ask about available time per week and budget for ads/tools.
- Ask about risk tolerance (need income vs. exploring).
- Score against the tier rubric below.
- Write output to
memory/user_profile.md.
Tier Rubric
| Tier | Criteria |
|---|---|
beginner | No shipped apps, no audience, needs full guidance |
builder | Some experience, weak GTM/validation skills |
growth | Understands CAC/LTV, wants leverage and scale |
Output
Write to memory/user_profile.md (merge with existing if present):
{
"icp_tier": "beginner | builder | growth",
"budget_constraint": "low | medium | high",
"time_per_week_hours": 0,
"risk_tolerance": "low | medium | high",
"strategy_recommendations": []
}Notes
<!-- TODO: Handle case where user refuses to answer questions --><!-- TODO: Define re-segmentation trigger (e.g., user reveals new info mid-session) -->© MaxKmet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/user-segmentation-profiler of MaxKmet/idea-validation-agents.
Open the folder on GitHubat commit 3a4c800
Compare with similar skills
User Segmentation Profiler 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 |
|---|---|---|---|---|---|---|
| User Segmentation Profiler this skillMaxKmet/idea-validation-agents | 474 | — | ~422 | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Cmux Debugging Guidemanaflow-ai/cmux | 28k | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Electron Heap Snapshot Analysiskeybase/client | 9.3k | — | ~875 | Automated safety check: Pass | BSD-3-Clause |
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Related
Categories
Questions about User Segmentation Profiler
What does User Segmentation Profiler do?
Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals. User Segmentation Profiler is an agent skill from MaxKmet/idea-validation-agents. Classifies the user into an ICP tier (beginner/builder/growth) based on experience, constraints, and goals.
When should I use User Segmentation Profiler?
User Segmentation Profiler fits situations like: tasks that involve Performance optimization.
How do I install User Segmentation Profiler in Claude Code?
Run `npx skills add MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a claude-code`. Or copy the skill folder (skills/user-segmentation-profiler in MaxKmet/idea-validation-agents) into .claude/skills/user-segmentation-profiler in your project. Claude Code loads it when a task matches its description.
How do I install User Segmentation Profiler in Codex?
Run `npx skills add MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a codex`. Or copy the skill folder (skills/user-segmentation-profiler in MaxKmet/idea-validation-agents) into .agents/skills/user-segmentation-profiler in your project. Codex loads it when a task matches its description.
Can I use User Segmentation Profiler 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 MaxKmet/idea-validation-agents --skill user-segmentation-profiler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/user-segmentation-profiler, .gemini/skills/user-segmentation-profiler, .github/skills/user-segmentation-profiler and .opencode/skills/user-segmentation-profiler in your project.
What does User Segmentation Profiler need to run?
SKILL.md names no scripts, command-line tools or credentials: User Segmentation Profiler is instructions for the agent only.
Does User Segmentation Profiler 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 User Segmentation Profiler 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 User Segmentation Profiler use?
User Segmentation Profiler 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 User Segmentation Profiler use?
About 422 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to User Segmentation Profiler?
Skills that share tags, products or a category with User Segmentation Profiler: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains User Segmentation Profiler?
MaxKmet (a GitHub user) maintains it in MaxKmet/idea-validation-agents, which has 474 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on June 16, 2026.
Source: MaxKmet/idea-validation-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.