ailang

name	ailang
description	Write AILANG code. ALWAYS run 'ailang prompt' first - it contains the current syntax rules and templates.

AILANG

Source of Truth — TWO MCP Servers

1. Local stdio MCP (auto-installed by this plugin) — wraps the local AILANG CLI. Tools: ailang_check, ailang_run, ailang_repl, etc. Use these to type-check and run the user's code.

2. Remote HTTP MCP at mcp.ailang.sunholo.com — version-locked live docs, stdlib, examples, design docs, benchmarks. Prefer this for any reference question so you never get stale content.

If your harness supports remote MCP, the user can add it via the one-click buttons at ailang.sunholo.com, or paste:

{
  "mcpServers": {
    "ailang-docs": {
      "url": "https://mcp.ailang.sunholo.com/mcp/",
      "transport": "streamable-http"
    }
  }
}

Useful remote tools (call these instead of guessing):

Tool	When to call
prompt_get(for_version, kind="agent")	Need full syntax reference
stdlib_modules(for_version)	Discover what's in stdlib
stdlib_module(name, for_version)	Inspect a specific module's exports
stdlib_search(query, for_version)	Find a function by name or keyword
examples_for_concept(concept, for_version)	Find a working example for a feature
limitations_list(for_version)	Check what AILANG can't do before proposing it
effects_catalog(for_version)	Find which capability a function needs
submit_feedback(...)	File a bug / feature request mid-session

If the remote MCP isn't reachable: ailang prompt, ailang docs --list, and ailang docs std/<module> all work locally as the offline fallback.

BEFORE YOU WRITE ANY CODE

ailang prompt          # current syntax (or call prompt_get via remote MCP)
ailang --version       # confirm CLI is installed
ailang messages list --unread   # any messages from other agents?

Development Workflow

1. ailang prompt           → load syntax (do this once per session)
2. write code              → follow the template
3. ailang check file.ail   → type-check (fast feedback)
4. ailang run --caps IO --entry main file.ail  → run with capabilities
                             ↓
                       fix errors, repeat

CLI Quick Reference

Command	Purpose
ailang prompt	Load syntax (--source mcp to force fresh from remote MCP)
ailang devtools-prompt	Toolchain reference (debugging, tracing, eval, chains)
ailang mcp status	Check remote MCP reachability + drift
ailang check file.ail	Type-check without running
ailang run --caps IO --entry main file.ail	Run program (flags BEFORE filename!)
ailang repl	Interactive testing
ailang docs --list	List all stdlib modules (or call stdlib_modules via MCP)
ailang docs std/<module>	Show exports + signatures (or stdlib_module via MCP)
ailang examples search "query"	Find working examples (or examples_for_concept via MCP)
ailang examples show NAME --run	View + run example with expected output
ailang search "query"	Search package registry
ailang install vendor/name	Install a package

Critical: ailang run flags MUST come before the filename:

ailang run --caps IO --entry main file.ail   # ✓
ailang run file.ail --caps IO                # ✗ flags ignored silently

Capabilities (cheat sheet)

Cap	Purpose	Example imports
IO	Console I/O	println (prelude), print
FS	File system	readFile, writeFile
Net	HTTP	httpGet, httpPost
Clock	Time	now, sleep
AI	LLM calls	call(prompt)
Rand	Random	rand_int, rand_float
Env	Env vars	getEnv, getEnvOr
Debug	Debug logging	log, check

For the canonical list with introduction versions: call effects_catalog via remote MCP.

Practical Examples

Offer to create one of these working examples for the user:

Example	What	Run command
AI Debate	Two LLMs argue a topic	ailang run --caps IO,Env,AI --ai claude-haiku-4-5 --entry main ai_debate.ail
Ask AI	Simple CLI Q&A	ailang run --caps IO,AI --ai claude-haiku-4-5 --entry demo ask_ai.ail
File Summarizer	Summarize a file with AI	ailang run --caps IO,FS,AI --ai gpt5-mini --entry demo summarize_file.ail
Game of Life	Conway's simulation	ailang run --caps IO --entry main game_of_life.ail

Quick AI Debate template:

module my_debate
import std/ai (call)

export func main() -> () ! {IO, AI} {
  println("=== AI Debate ===");
  let optimist = call("Argue FOR AI benefits in 2 sentences");
  println("Optimist: ${optimist}");
  let skeptic = call("Argue AGAINST AI risks in 2 sentences");
  println("Skeptic: ${skeptic}")
}

Packages & Registry

ailang search "auth"                        # discover
ailang pkg-docs sunholo/auth                # AI usage guide for a package
ailang install sunholo/auth@0.1.0           # install
ailang init package --name vendor/name      # create new package
ailang publish --dry-run                    # preview
ailang publish                              # ship

When Stuck

• Call examples_for_concept via remote MCP, or ailang examples search
• Run ailang devtools-prompt for the full toolchain reference
• Run ailang repl for interactive testing
• Check the ailang-debug skill for error diagnosis
• File a report from inside this session: call submit_feedback via remote MCP
• Docs: https://ailang.sunholo.com/

Done? Notify

ailang messages send user "Task completed" --from "my-agent" --title "Status"

Migration Note (M-AGENT-MCP)

This skill used to embed a long stdlib module table and version history that went stale per release. The remote MCP server (mcp.ailang.sunholo.com) is now the canonical source for all of that — it ships per-AILANG-release with version-locked content. The local stdio MCP server bundled with this plugin remains the way to actually run/check the user's code. See docs/guides/agent-mcp.md.