runtime-awareness
Full runtime environment inventory — platform, tools, services, paths. Load when checking tooling or capabilities
Best use case
runtime-awareness is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Full runtime environment inventory — platform, tools, services, paths. Load when checking tooling or capabilities
Teams using runtime-awareness should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/runtime-awareness/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How runtime-awareness Compares
| Feature / Agent | runtime-awareness | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Full runtime environment inventory — platform, tools, services, paths. Load when checking tooling or capabilities
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Runtime Awareness > Full inventory of the runtime environment — platform, tools, services, and cross-boundary capabilities. ## Platform | Property | Value | |----------|-------| | **OS** | Ubuntu 22.04 LTS on WSL2 (kernel 6.6.x) | | **Host** | Windows, mirrored networking (`networkingMode=mirrored`) | | **systemd** | Enabled | | **WSL interop** | Enabled, `appendWindowsPath=true` | | **Windows user** | `FaroukBakari` → `/mnt/c/Users/FaroukBakari/` (full R/W) | ### Compute Resources | Resource | Allocation | |----------|------------| | CPU | 16 cores | | RAM | 24 GB | | Swap | 48 GB | | GPU | **NVIDIA RTX 4090** (24 GB VRAM), CUDA 12.4, driver 591.59 | | Storage | C: (886G), D: (1.9T), E: (17T), F: (1.9T), G: (977G), WSL root (1T) | ### Networking - **Mirrored mode**: WSL and Windows share `localhost` — no port forwarding needed - Dev servers started in WSL are directly accessible from Windows browsers and vice versa - Firewall: disabled in WSL config --- ## Tool Access ### Core Tools (Claude Code CLI) `Read`, `Edit`, `Write`, `Glob`, `Grep`, `Bash`, `WebFetch`, `WebSearch`, `Task` (subagents), `TodoWrite`, `AskUserQuestion`, `EnterPlanMode`. ### Session Introspection Commands User-invocable slash commands (agent cannot invoke directly — recommend when relevant): | Command | Shows | When | |---------|-------|------| | `/context` | Context usage grid | Before large tasks, context pressure | | `/cost` | Token stats | After heavy tool use | | `/compact [focus]` | Manual compaction with optional focus | Context filling up | **Auto-compaction**: Happens silently at limits — no agent signal. Mitigation: `Compact Instructions` (CLAUDE.md §5) defines preservation priorities. `PreCompact` hook fires with `trigger: "manual"/"auto"`. ### IDE MCP Bridge | Tool | Capability | |------|------------| | `mcp__ide__getDiagnostics` | Read VS Code language diagnostics (type errors, lint warnings) | | `mcp__ide__executeCode` | Execute Python code in active Jupyter kernel | ### VS Code CLI (`code`) Available via `.vscode-server` remote CLI. Can: - Open files/diffs in the editor (`code -g file:line`, `code -d file1 file2`) - Install/list/uninstall extensions - Open folders/workspaces ### Windows Executables (via WSL Interop) | Executable | Use Case | |------------|----------| | `powershell.exe` | Windows system commands, registry, scheduled tasks | | `cmd.exe` | Windows shell commands | | `explorer.exe` | Open folders/URLs in Windows (`explorer.exe .`, `explorer.exe https://...`) | | `clip.exe` | Copy stdout to Windows clipboard (`echo text \| clip.exe`) | | `wslpath` | Path translation: `wslpath -w /home/...` → `\\wsl$\...`, `wslpath -u 'C:\...'` → `/mnt/c/...` | | Chrome | `"/mnt/c/Program Files/Google/Chrome/Application/chrome.exe"` — launch with optional URL | ### NOT Available - VS Code extension API (`vscode.runCommand`, `askQuestions`, `openSimpleBrowser`) - MCP servers from `.vscode/mcp.json` (Playwright MCP, filesystem, context7, tavily, etc.) --- ## Windows-Side VS Code Config Directly editable from WSL — no manual user intervention needed: | File | WSL Path | |------|----------| | Settings | `/mnt/c/Users/FaroukBakari/AppData/Roaming/Code/User/settings.json` | | Keybindings | `/mnt/c/Users/FaroukBakari/AppData/Roaming/Code/User/keybindings.json` | | MCP config | `/mnt/c/Users/FaroukBakari/AppData/Roaming/Code/User/mcp.json` | | Snippets | `/mnt/c/Users/FaroukBakari/AppData/Roaming/Code/User/snippets/` | --- ## Dev Toolchain | Tool | Version | Notes | |------|---------|-------| | Node | 22.20.0 | via nvm | | Python | 3.11.9 | project venv at `backend/.venv` | | Poetry | 2.2.1 | | | Docker | 28.5.2 | Docker Desktop with WSL integration | | Git | 2.34.1 | SSH key at `~/.ssh/id_rsa.pub` | | gh CLI | 2.83.2 | | | Make | 4.3 | | | Playwright | 1.58.2 | npm; headless Chromium works in WSL | ### VS Code Extensions (notable) | Extension | Purpose | |-----------|---------| | `anthropic.claude-code` | Claude Code extension (installed) | | `vue.volar` | Vue 3 language support | | `ms-python.python` + `vscode-pylance` | Python IDE | | `dbaeumer.vscode-eslint` + `esbenp.prettier-vscode` | Linting/formatting | | `eamodio.gitlens` | Git integration | | `ms-toolsai.jupyter` | Jupyter notebooks | | `ms-vscode.makefile-tools` | Makefile support | --- ## Running Services | Service | Port | Details | |---------|------|---------| | **Ollama** | 11434 | v0.9.0, `llama3.2:1b` installed, GPU-accelerated (RTX 4090) | | **n8n** | 5678 | Docker container (`n8nio/n8n:latest`) + PostgreSQL (5432) | | **Docker Desktop** | — | Running, WSL integration active | ### IB TWS / Gateway - **Installed** at `G:\Jts` (WSL: `/mnt/g/Jts/`) - Configured: `tradingMode=p` (paper), timezone `Europe/Paris`, `ibkrBranding=pro` - **Not currently running** — ports 4001/7497 closed - When running, accessible via mirrored networking on `localhost` --- ## Browser Automation | Method | Status | Use Case | |--------|--------|----------| | WSL headless Chromium | Works | Playwright tests, visual verification, CI | | Windows Chrome (direct launch) | Works | Open URLs for user, demo | | Playwright MCP Chrome profile | Installed at `~/.cache/ms-playwright/mcp-chrome-*` | Persistent browser sessions | --- ## Cross-Boundary Capabilities Summary These are actions that span WSL ↔ Windows and are **confirmed working**: 1. **Launch Windows GUI apps** from WSL (Chrome, Explorer, etc.) 2. **Edit Windows-side files** directly (VS Code config, keybindings, any file on C:-G:) 3. **Share localhost** seamlessly (mirrored networking) 4. **Copy to clipboard** (`| clip.exe`) 5. **Run PowerShell/cmd** for Windows-specific operations 6. **Docker** works transparently across WSL ↔ Windows 7. **GPU compute** available for Ollama, CUDA workloads
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