Skip to main content

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."

Informations de source

Dépôt
JordanCoin/codingskills
Dernière activité de la source
28 février 2026 à 10:05
Langue détectée de SKILL.md
anglais
Étoiles
11
Forks
3

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
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
Voir sur GitHub