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Detect Stack

skill-jordancoin-codingskills-detect-stack · by JordanCoin

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.

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Install

$ agentstack add skill-jordancoin-codingskills-detect-stack

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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):

# 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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.