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detect-stack

Analyze a codebase to detect its language, framework, conventions, and CI gates. Run this on first use in a project to generate stack context that all coding principle skills reference. Use when the user says "detect stack," "analyze this project," or "what's this codebase using."

معلومات المصدر

المستودع
JordanCoin/codingskills
آخر نشاط في المصدر
٢٨ فبراير ٢٠٢٦ في ١٠:٠٥
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١١
التفرعات
٢

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
detect-stack
description
Analyze a codebase to detect its language, framework, conventions, and CI gates. Run this on first use in a project to generate stack context that all coding principle skills reference. Use when the user says "detect stack," "analyze this project," or "what's this codebase using."
metadata
{"version":"1.0.0"}
# Detect Stack Analyze the current codebase and generate `.agents/stack-context.md`. Run this on first use in a project, or when the stack context is missing or stale. ## What to Detect Scan the project root for these signals: **Language** — Count file extensions (`.rs`, `.py`, `.ts`, `.go`, `.swift`, `.java`, `.rb`, `.cs`, `.ex`, etc.). Primary = most files. Note secondary languages. **Framework** — Read the package manifest: - `Cargo.toml` → check `[dependencies]` for axum, actix, rocket, sqlx, diesel, tokio - `package.json` → check for react, next, svelte, express, fastify, prisma - `go.mod` → check for gin, echo, fiber, chi, sqlc - `pyproject.toml` / `requirements.txt` → check for django, flask, fastapi, sqlalchemy - `Gemfile` → check for rails, sinatra - `Package.swift` → check for Vapor; scan for SwiftUI imports - `mix.exs` → check for phoenix, ecto **Tests** — Look for test directories, test file naming patterns, test config files. **CI gates** — Scan `.github/workflows/`, `.gitlab-ci.yml`, etc. for blocking checks (format, lint, type check, test). **Conventions** — Check for `CLAUDE.md`, `AGENTS.md`, `CONTRIBUTING.md`. Note directory structure and naming patterns. ## Output Write `.agents/stack-context.md` — keep it short (under 40 lines): ```markdown # Stack Context Generated: YYYY-MM-DD ## Stack - **Language**: [primary] [version if pinned] - **Framework**: [web framework], [db layer] - **Build**: [build tool] - **Test**: [test command + framework] - **Lint**: [linter] [CI gate: yes/no] - **Format**: [formatter] [CI gate: yes/no] ## Secondary Languages - [language] ([what it's used for]) ## Conventions - Error handling: [pattern] - Module structure: [pattern] - Naming: [pattern] - Tests: [where they live, how they're organized] ## CI Gates - [list of blocking checks] ``` ## Stack-Specific Principle Application After writing the stack context, **do not generate static reference files**. Instead: 1. Use your built-in knowledge of the detected language/framework to apply each coding principle idiomatically 2. If you need specific framework API details, use **context7 MCP** (`resolve-library-id` then `query-docs`) to pull live documentation 3. If context7 doesn't cover it, use **web search** as fallback The coding principle skills are language-agnostic by design. You are the bridge between the principles and the stack. ## When to Re-Run - `.agents/stack-context.md` doesn't exist - Major dependency changes (new framework, language version bump) - Project structure significantly changes - Context file is older than 30 days
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