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.
How the platform under you works: the computer and its workspaces, files and what survives a restart, conversation transcripts, saved tool results, memory, and adding skills, MCP servers, brokerages…
$ npx skills add ginlix-ai/LangAlpha --skill langalpha-doc -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ginlix-ai/LangAlpha langalpha-doc --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/ginlix-ai/LangAlpha.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/langalpha_service/skills/langalpha-doc .claude/skills/langalpha-doc && 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 "langalpha-doc" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc into .claude/skills/langalpha-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langalpha-doc", 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/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-docType 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 ginlix-ai/LangAlpha --skill langalpha-doc -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ginlix-ai/LangAlpha langalpha-doc --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/langalpha_service/skills/langalpha-doc .agents/skills/langalpha-doc && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langalpha-doc" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc into .agents/skills/langalpha-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langalpha-doc", 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 ginlix-ai/LangAlpha --skill langalpha-doc -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ginlix-ai/LangAlpha langalpha-doc --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/langalpha_service/skills/langalpha-doc .cursor/skills/langalpha-doc && 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 "langalpha-doc" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc into .cursor/skills/langalpha-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langalpha-doc", 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/ginlix-ai/LangAlpha.git --path plugins/langalpha_service/skills/langalpha-doc--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 ginlix-ai/LangAlpha --skill langalpha-doc -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ginlix-ai/LangAlpha langalpha-doc --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/langalpha_service/skills/langalpha-doc .gemini/skills/langalpha-doc && 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 "langalpha-doc" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc into .gemini/skills/langalpha-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langalpha-doc", 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 ginlix-ai/LangAlpha langalpha-docInstalls 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 ginlix-ai/LangAlpha --skill langalpha-doc -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/langalpha_service/skills/langalpha-doc .github/skills/langalpha-doc && 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 "langalpha-doc" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc into .github/skills/langalpha-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langalpha-doc", 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 ginlix-ai/LangAlpha --skill langalpha-doc -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ginlix-ai/LangAlpha langalpha-doc --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ginlix-ai/LangAlpha.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/langalpha_service/skills/langalpha-doc .opencode/skills/langalpha-doc && 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 "langalpha-doc" agent skill from https://github.com/ginlix-ai/LangAlpha/tree/main/plugins/langalpha_service/skills/langalpha-doc into .opencode/skills/langalpha-doc/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langalpha-doc", 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.
langalpha-docHow the platform under you works: the computer and its workspaces, files and what survives a restart, conversation transcripts, saved tool results, memory, and adding skills, MCP servers, brokerages…
Langalpha Doc is an agent skill from ginlix-ai/LangAlpha. How the platform under you works: the computer and its workspaces, files and what survives a restart, conversation transcripts, saved tool results, memory, and adding skills, MCP servers, brokerages or plugins. Read it when the user points back at an earlier conversation, when something is missing or behaves unexpectedly, and before adding any of those.
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/computer.md`, `references/files.md` and `references/history.md`).
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Claude Code for Financial Market. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit e05bd91. 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.
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.
Langalpha Doc loads about 816 tokens when it runs, and up to ~9.6k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 440 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.
The full file from ginlix-ai/LangAlpha at commit e05bd91, republished under its Apache-2.0 licence (© ginlix-ai). 440 words, ~816 tokens.
.claude/skills/langalpha-doc/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.You run on a computer: one sandbox machine that belongs to the user. Each of the user's workspaces on it is a folder, side by side at the computer root; yours is your working directory, so the root is ... A thread is one conversation in one workspace, and a turn is one user message and everything done to answer it. Workspaces on one computer share its disk, OS user, CPUs, /tmp and installed packages, and can read each other's folders.
.agents/skills/langalpha-doc/references/history.md..agents/skills/langalpha-doc/references/files.md..agents/skills/langalpha-doc/references/computer.md..agents/skills/langalpha-doc/references/skills.md..agents/skills/langalpha-doc/references/plugins.md.cd and export do not carry to the next call.open() and Bash read it as the real filesystem root. Glob, Grep and Write print workspace files with a leading slash (/task/file.md), so drop it before pasting a path into code..agents/ included, unless path points inside one./tmp survive a stop but not a rebuild of the computer.plt.show() output goes nowhere. Save charts with savefig into <task>/charts/ and link the file.© ginlix-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in plugins/langalpha_service/skills/langalpha-doc of ginlix-ai/LangAlpha.
Open the folder on GitHubat commit e05bd91
Langalpha Doc 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 |
|---|---|---|---|---|---|---|
| Langalpha Doc this skillginlix-ai/LangAlpha | 1.8k | — | ~816 | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 5 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Crush Configurationcharmbracelet/crush | 29k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Context Mode Output Sandboxmksglu/context-mode | 26k | — | ~4.1k | Automated safety check: Pass | Custom licence |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
shareAI-lab/learn-claude-code
Walks through building MCP servers in Python or TypeScript that expose tools, resources and prompts to Claude, with templates, registration and testing.
anthropics/claude-plugins-official
Explains how to bundle Model Context Protocol servers in a Claude Code plugin, covering config files, stdio, SSE, HTTP and WebSocket server types, and authentication.
charmbracelet/crush
Explains how to configure the Crush coding agent with crushrc or crush.json, covering providers, models, LSPs, MCP servers, hooks, permissions and config precedence.
mksglu/context-mode
Routes large command, file, API and browser output through context-mode tools so only the needed result enters the agent's context, instead of dumping it via Bash.
warpdotdev/warp
Migrates the compatible subset of settings and global file-based MCP servers from the Warp desktop app into Warp Agent CLI without exposing credentials or state.
ginlix-ai/LangAlpha
Quality-checks an investment deck in .pptx form before it goes out: number consistency, chart and narrative alignment, source coverage, language and a circulation verdict.
ginlix-ai/LangAlpha
Produces a first-time equity research initiation report in five tasks: company research, financial model, valuation, charts and a DOCX report.
ginlix-ai/LangAlpha
Builds or repairs an integrated income statement, balance sheet and cash flow model in Excel with live formulas, supporting schedules, scenarios and a Checks sheet.
ginlix-ai/LangAlpha
Audits an existing Excel financial model without editing it, checking structure, formulas, integrity identities and source tie-out, and ends in a prioritized issue log.
ginlix-ai/LangAlpha
Builds a live Excel DCF valuation workbook with free cash flow projections, WACC, terminal value, three scenarios, sensitivity grids and a reverse DCF.
ginlix-ai/LangAlpha
Builds Word files with python-docx, edits existing ones in place with tracked changes and comments, then renders and validates the result.
Works with
Categories
How the platform under you works: the computer and its workspaces, files and what survives a restart, conversation transcripts, saved tool results, memory, and adding skills, MCP servers, brokerages…. Langalpha Doc is an agent skill from ginlix-ai/LangAlpha. How the platform under you works: the computer and its workspaces, files and what survives a restart, conversation transcripts, saved tool results, memory, and adding skills, MCP servers, brokerages or plugins.
Langalpha Doc fits situations like: points back at an earlier conversation; something is missing; behaves unexpectedly; before adding any of those.
Run `npx skills add ginlix-ai/LangAlpha --skill langalpha-doc -a claude-code`. Or copy the skill folder (plugins/langalpha_service/skills/langalpha-doc in ginlix-ai/LangAlpha) into .claude/skills/langalpha-doc in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ginlix-ai/LangAlpha --skill langalpha-doc -a codex`. Or copy the skill folder (plugins/langalpha_service/skills/langalpha-doc in ginlix-ai/LangAlpha) into .agents/skills/langalpha-doc 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 ginlix-ai/LangAlpha --skill langalpha-doc -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langalpha-doc, .gemini/skills/langalpha-doc, .github/skills/langalpha-doc and .opencode/skills/langalpha-doc in your project.
SKILL.md names no scripts, command-line tools or credentials: Langalpha Doc 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.
Langalpha Doc is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 816 tokens (SKILL.md is roughly 3.3k 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 8.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Langalpha Doc: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ginlix-ai (a GitHub organization) maintains it in ginlix-ai/LangAlpha, which has 1,811 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 9, 2026.
Source: ginlix-ai/LangAlpha on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.