MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Count Python code insight work in tests with PyCodeInsightCounters.
$ npx skills add JetBrains/intellij-community --skill py-code-insight-counters -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JetBrains/intellij-community py-code-insight-counters --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/JetBrains/intellij-community.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/py-code-insight-counters .claude/skills/py-code-insight-counters && 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 "py-code-insight-counters" agent skill from https://github.com/JetBrains/intellij-community/tree/master/.agents/skills/py-code-insight-counters into .claude/skills/py-code-insight-counters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "py-code-insight-counters", 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/JetBrains/intellij-community/tree/master/.agents/skills/py-code-insight-countersType 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 JetBrains/intellij-community --skill py-code-insight-counters -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JetBrains/intellij-community py-code-insight-counters --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/intellij-community.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/py-code-insight-counters .agents/skills/py-code-insight-counters && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "py-code-insight-counters" agent skill from https://github.com/JetBrains/intellij-community/tree/master/.agents/skills/py-code-insight-counters into .agents/skills/py-code-insight-counters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "py-code-insight-counters", 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 JetBrains/intellij-community --skill py-code-insight-counters -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JetBrains/intellij-community py-code-insight-counters --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/intellij-community.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/py-code-insight-counters .cursor/skills/py-code-insight-counters && 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 "py-code-insight-counters" agent skill from https://github.com/JetBrains/intellij-community/tree/master/.agents/skills/py-code-insight-counters into .cursor/skills/py-code-insight-counters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "py-code-insight-counters", 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/JetBrains/intellij-community.git --path .agents/skills/py-code-insight-counters--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 JetBrains/intellij-community --skill py-code-insight-counters -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JetBrains/intellij-community py-code-insight-counters --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/intellij-community.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/py-code-insight-counters .gemini/skills/py-code-insight-counters && 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 "py-code-insight-counters" agent skill from https://github.com/JetBrains/intellij-community/tree/master/.agents/skills/py-code-insight-counters into .gemini/skills/py-code-insight-counters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "py-code-insight-counters", 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 JetBrains/intellij-community py-code-insight-countersInstalls 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 JetBrains/intellij-community --skill py-code-insight-counters -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JetBrains/intellij-community.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/py-code-insight-counters .github/skills/py-code-insight-counters && 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 "py-code-insight-counters" agent skill from https://github.com/JetBrains/intellij-community/tree/master/.agents/skills/py-code-insight-counters into .github/skills/py-code-insight-counters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "py-code-insight-counters", 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 JetBrains/intellij-community --skill py-code-insight-counters -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install JetBrains/intellij-community py-code-insight-counters --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/intellij-community.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/py-code-insight-counters .opencode/skills/py-code-insight-counters && 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 "py-code-insight-counters" agent skill from https://github.com/JetBrains/intellij-community/tree/master/.agents/skills/py-code-insight-counters into .opencode/skills/py-code-insight-counters/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "py-code-insight-counters", 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.
py-code-insight-countersCount Python code insight work in tests with PyCodeInsightCounters.
Py Code Insight Counters is an agent skill from JetBrains/intellij-community, published by the product's own GitHub organization. Count Python code insight work in tests with PyCodeInsightCounters.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Python and JetBrains IDEs. The repository describes itself as: IntelliJ IDEA & IntelliJ Platform.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 562e3a2. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are kotlin).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Py Code Insight Counters loads about 1.2k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 591 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 591 words (~1,237 tokens).
“PyCodeInsightCounters (python-psi-impl, package com.jetbrains.python.codeInsight) counts the work of the native Python type engine. PyPerfProbe (community/python/testFramework, package com.intellij.python.community.testFramework.performance) measures a scenario with these counters, the wall time, the allocations and the AST loads.”
Just SKILL.md in .agents/skills/py-code-insight-counters of JetBrains/intellij-community.
Open the folder on GitHubat commit 562e3a2
Py Code Insight Counters 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 |
|---|---|---|---|---|---|---|
| Py Code Insight Counters this skillJetBrains/intellij-community | 21k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 14 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
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.
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
JetBrains/intellij-community
YouTrack CLI for a community checkout; the monorepo uses youtrack.
JetBrains/intellij-community
Compare Python type inference with ty, pyrefly, and basedpyright.
JetBrains/intellij-community
Take commits from a sibling checkout as patches, without a fetch.
JetBrains/intellij-community
Apply IntelliJ Kotlin and Java code style when writing or reviewing.
JetBrains/intellij-community
Create reproducible Jupyter notebooks for performance experiments.
JetBrains/intellij-community
Build or debug Jewel Markdown parsing, rendering, and styling.
Works with
Count Python code insight work in tests with PyCodeInsightCounters. Py Code Insight Counters is an agent skill from JetBrains/intellij-community, published by the product's own GitHub organization. Count Python code insight work in tests with PyCodeInsightCounters.
Run `npx skills add JetBrains/intellij-community --skill py-code-insight-counters -a claude-code`. Or copy the skill folder (.agents/skills/py-code-insight-counters in JetBrains/intellij-community) into .claude/skills/py-code-insight-counters in your project. Claude Code loads it when a task matches its description.
Run `npx skills add JetBrains/intellij-community --skill py-code-insight-counters -a codex`. Or copy the skill folder (.agents/skills/py-code-insight-counters in JetBrains/intellij-community) into .agents/skills/py-code-insight-counters in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JetBrains/intellij-community --skill py-code-insight-counters -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/py-code-insight-counters, .gemini/skills/py-code-insight-counters, .github/skills/py-code-insight-counters and .opencode/skills/py-code-insight-counters in your project.
SKILL.md names no scripts, command-line tools or credentials: Py Code Insight Counters is instructions for the agent only. Our summary lists: Python 3.
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.
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.
Py Code Insight Counters has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Py Code Insight Counters: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
JetBrains (a GitHub organization, an official publisher) maintains it in JetBrains/intellij-community, which has 20,613 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 8, 2026.
Source: JetBrains/intellij-community on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.