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Erlang Otp Behaviors

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xuansenpa1
erlang-otp-behaviors

Use when oTP behaviors including gen_server for stateful processes, gen_statem for state machines, supervisors for fault tolerance, gen_event for event handling, and building robust, production-ready Erlang applications with proven patterns.

Overview

Publisherxuansenpa1
Repositoryskillrevise
Skill nameerlang-otp-behaviors
Stars
56
Forks
3
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xuansenpa1 on GitHub. Read the source before you install it.

Installation

Install the Erlang Otp Behaviors AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xuansenpa1/skillrevise/tree/main/data/skillsbench/tasks/fix-erlang-ssh-cve/environment/skills/erlang-otp-behaviors
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xuansenpa1/skillrevise.git /tmp/skillrevise
mkdir -p .claude/skills
cp -r /tmp/skillrevise/data/skillsbench/tasks/fix-erlang-ssh-cve/environment/skills/erlang-otp-behaviors .claude/skills/erlang-otp-behaviors
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Erlang Otp Behaviors in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Erlang Otp Behaviors on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Erlang Otp Behaviors is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Erlang OTP Behaviors

Introduction

OTP (Open Telecom Platform) behaviors provide reusable patterns for common process types in Erlang systems. These abstractions handle complex details like message passing, error handling, and state management, allowing developers to focus on business logic while maintaining system reliability.

Behaviors define interfaces that processes must implement, with OTP handling the infrastructure. Gen_server provides client-server processes, gen_statem implements state machines, supervisors manage process lifecycles, and gen_event coordinates event distribution. Understanding these patterns is essential for production Erlang.

This skill covers gen_server for stateful processes, gen_statem for complex state machines, supervisor trees for fault tolerance, gen_event for event handling, application behavior for packaging, and patterns for building robust OTP systems.

Gen_Server Basics

Gen_server implements client-server processes with synchronous and asynchronous communication.

erlang
-module(counter_server).
-behaviour(gen_server).

%% API
-export([start_link/0, increment/0, decrement/0, get_value/0, reset/0]).

%% gen_server callbacks
-export([init/1, handle_call/3, handle_cast/2, handle_info/2, terminate/2, code_change/3]).

-define(SERVER, ?MODULE).

%% State record
-record(state, {count = 0}).

%%%===================================================================
%%% API
%%%===================================================================

start_link() ->
    gen_server:start_link({local, ?SERVER}, ?MODULE, [], []).

increment() ->
    gen_server:cast(?SERVER, increment).

decrement() ->
    gen_server:cast(?SERVER, decrement).

get_value() ->
    gen_server:call(?SERVER, get_value).

reset() ->
    gen_server:call(?SERVER, reset).

%%%===================================================================
%%% gen_server callbacks
%%%===================================================================

init([]) ->
    {ok, #state{}}.

%% Synchronous calls (with response)
handle_call(get_value, _From, State) ->
    {reply, State#state.count, State};

handle_call(reset, _From, State) ->
    {reply, ok, State#state{count = 0}};

handle_call(_Request, _From, State) ->
    {reply, ignored, State}.

%% Asynchronous casts (no response)
handle_cast(increment, State) ->
    NewCount = State#state.count + 1,
    {noreply, State#state{count = NewCount}};

handle_cast(decrement, State) ->
    NewCount = State#state.count - 1,
    {noreply, State#state{count = NewCount}};

handle_cast(_Msg, State) ->
    {noreply, State}.

%% Handle other messages
handle_info(_Info, State) ->
    {noreply, State}.

terminate(_Reason, _State) ->
    ok.

code_change(_OldVsn, State, _Extra) ->
    {ok, State}.

%%%===================================================================
%%% Complex gen_server example: Cache
%%%===================================================================

-module(cache_server).
-behaviour(gen_server).

-export([start_link/1, put/2, get/1, delete/1, clear/0, size/0]).
-export([init/1, handle_call/3, handle_cast/2, handle_info/2, terminate/2, code_change/3]).

-record(state, {
    cache = #{},
    max_size = 1000,
    hits = 0,
    misses = 0
}).

start_link(MaxSize) ->
    gen_server:start_link({local, ?MODULE}, ?MODULE, [MaxSize], []).

put(Key, Value) ->
    gen_server:call(?MODULE, {put, Key, Value}).

get(Key) ->
    gen_server:call(?MODULE, {get, Key}).

delete(Key) ->
    gen_server:cast(?MODULE, {delete, Key}).

clear() ->
    gen_server:cast(?MODULE, clear).

size() ->
    gen_server:call(?MODULE, size).

init([MaxSize]) ->
    process_flag(trap_exit, true),
    {ok, #state{max_size = MaxSize}}.

handle_call({put, Key, Value}, _From, State) ->
    Cache = State#state.cache,
    case maps:size(Cache) >= State#state.max_size of
        true ->
            {reply, {error, cache_full}, State};
        false ->
            NewCache = maps:put(Key, Value, Cache),
            {reply, ok, State#state{cache = NewCache}}
    end;

handle_call({get, Key}, _From, State) ->
    Cache = State#state.cache,
    case maps:find(Key, Cache) of
        {ok, Value} ->
            NewState = State#state{hits = State#state.hits + 1},
            {reply, {ok, Value}, NewState};
        error ->
            NewState = State#state{misses = State#state.misses + 1},
            {reply, not_found, NewState}
    end;

handle_call(size, _From, State) ->
    Size = maps:size(State#state.cache),
    {reply, Size, State};

handle_call(_Request, _From, State) ->
    {reply, {error, unknown_request}, State}.

handle_cast({delete, Key}, State) ->
    NewCache = maps:remove(Key, State#state.cache),
    {noreply, State#state{cache = NewCache}};

handle_cast(clear, State) ->
    {noreply, State#state{cache = #{}}};

handle_cast(_Msg, State) ->
    {noreply, State}.

handle_info(_Info, State) ->
    {noreply, State}.

terminate(Reason, State) ->
    io:format("Cache terminating: ~p~n", [Reason]),
    io:format("Stats - Hits: ~p, Misses: ~p~n", [State#state.hits, State#state.misses]),
    ok.

code_change(_OldVsn, State, _Extra) ->
    {ok, State}.

%%%===================================================================
%%% gen_server with timeouts
%%%===================================================================

-module(session_server).
-behaviour(gen_server).

-export([start_link/0, touch/0]).
-export([init/1, handle_call/3, handle_cast/2, handle_info/2, terminate/2, code_change/3]).

-define(TIMEOUT, 30000). % 30 seconds

-record(state, {
    last_activity,
    data = #{}
}).

start_link() ->
    gen_server:start_link({local, ?MODULE}, ?MODULE, [], []).

touch() ->
    gen_server:cast(?MODULE, touch).

init([]) ->
    {ok, #state{last_activity = erlang:system_time(millisecond)}, ?TIMEOUT}.

handle_call(_Request, _From, State) ->
    {reply, ok, State, ?TIMEOUT}.

handle_cast(touch, State) ->
    NewState = State#state{last_activity = erlang:system_time(millisecond)},
    {noreply, NewState, ?TIMEOUT};

handle_cast(_Msg, State) ->
    {noreply, State, ?TIMEOUT}.

handle_info(timeout, State) ->
    io:format("Session timed out~n"),
    {stop, normal, State};

handle_info(_Info, State) ->
    {noreply, State, ?TIMEOUT}.

terminate(_Reason, _State) ->
    ok.

code_change(_OldVsn, State, _Extra) ->
    {ok, State}.

Gen_server provides structure for stateful processes with client-server patterns.

Gen_Statem for State Machines

Gen_statem implements finite state machines with explicit state transitions.

erlang
-module(door_fsm).
-behaviour(gen_statem).

-export([start_link/0, open/0, close/0, lock/0, unlock/1]).
-export([init/1, callback_mode/0, terminate/3, code_change/4]).
-export([locked/3, unlocked/3, open/3]).

-define(CODE, "1234").

start_link() ->
    gen_statem:start_link({local, ?MODULE}, ?MODULE, [], []).

open() ->
    gen_statem:call(?MODULE, open).

close() ->
    gen_statem:call(?MODULE, close).

lock() ->
    gen_statem:call(?MODULE, lock).

unlock(Code) ->
    gen_statem:call(?MODULE, {unlock, Code}).

init([]) ->
    {ok, locked, #{}}.

callback_mode() ->
    state_functions.

%% Locked state
locked(call, {unlock, Code}, Data) when Code =:= ?CODE ->
    {next_state, unlocked, Data, [{reply, ok}]};

locked(call, {unlock, _WrongCode}, Data) ->
    {keep_state, Data, [{reply, {error, wrong_code}}]};

locked(call, _Event, Data) ->
    {keep_state, Data, [{reply, {error, door_locked}}]}.

%% Unlocked state
unlocked(call, lock, Data) ->
    {next_state, locked, Data, [{reply, ok}]};

unlocked(call, open, Data) ->
    {next_state, open, Data, [{reply, ok}]};

unlocked(call, _Event, Data) ->
    {keep_state, Data, [{reply, ok}]}.

%% Open state
open(call, close, Data) ->
    {next_state, unlocked, Data, [{reply, ok}]};

open(call, _Event, Data) ->
    {keep_state, Data, [{reply, {error, door_open}}]}.

terminate(_Reason, _State, _Data) ->
    ok.

code_change(_OldVsn, State, Data, _Extra) ->
    {ok, State, Data}.

%%%===================================================================
%%% Connection state machine
%%%===================================================================

-module(connection_fsm).
-behaviour(gen_statem).

-export([start_link/0, connect/0, disconnect/0, send/1]).
-export([init/1, callback_mode/0, terminate/3, code_change/4]).
-export([disconnected/3, connecting/3, connected/3]).

-record(data, {
    socket = undefined,
    buffer = <<>>,
    retry_count = 0
}).

start_link() ->
    gen_statem:start_link({local, ?MODULE}, ?MODULE, [], []).

connect() ->
    gen_statem:call(?MODULE, connect).

disconnect() ->
    gen_statem:call(?MODULE, disconnect).

send(Data) ->
    gen_statem:call(?MODULE, {send, Data}).

init([]) ->
    {ok, disconnected, #data{}}.

callback_mode() ->
    [state_functions, state_enter].

%% Disconnected state
disconnected(enter, _OldState, _Data) ->
    io:format("Entered disconnected state~n"),
    keep_state_and_data;

disconnected(call, connect, Data) ->
    case connect_to_server() of
        {ok, Socket} ->
            {next_state, connected, Data#data{socket = Socket, retry_count = 0},
             [{reply, ok}]};
        error ->
            NewData = Data#data{retry_count = Data#data.retry_count + 1},
            case NewData#data.retry_count < 3 of
                true ->
                    {next_state, connecting, NewData, [{reply, {error, retrying}}]};
                false ->
                    {keep_state, NewData, [{reply, {error, max_retries}}]}
            end
    end.

%% Connecting state
connecting(enter, _OldState, _Data) ->
    erlang:send_after(1000, self(), retry_connect),
    keep_state_and_data;

connecting(info, retry_connect, Data) ->
    case connect_to_server() of
        {ok, Socket} ->
            {next_state, connected, Data#data{socket = Socket, retry_count = 0}};
        error ->
            NewData = Data#data{retry_count = Data#data.retry_count + 1},
            case NewData#data.retry_count < 3 of
                true ->
                    {keep_state, NewData};
                false ->
                    {next_state, disconnected, NewData}
            end
    end.

%% Connected state
connected(enter, _OldState, _Data) ->
    io:format("Connection established~n"),
    keep_state_and_data;

connected(call, {send, Data}, StateData) ->
    case send_data(StateData#data.socket, Data) of
        ok ->
            {keep_state_and_data, [{reply, ok}]};
        error ->
            {next_state, disconnected, StateData, [{reply, {error, send_failed}}]}
    end;

connected(call, disconnect, StateData) ->
    close_connection(StateData#data.socket),
    {next_state, disconnected, StateData#data{socket = undefined}, [{reply, ok}]}.

terminate(_Reason, _State, Data) ->
    case Data#data.socket of
        undefined -> ok;
        Socket -> close_connection(Socket)
    end.

code_change(_OldVsn, State, Data, _Extra) ->
    {ok, State, Data}.

%% Helper functions
connect_to_server() ->
    {ok, socket}.

send_data(_Socket, _Data) ->
    ok.

close_connection(_Socket) ->
    ok.

Gen_statem provides structured state machine implementation with explicit transitions.

Supervisor Trees

Supervisors monitor child processes and restart them on failure for fault tolerance.

erlang
-module(my_supervisor).
-behaviour(supervisor).

-export([start_link/0]).
-export([init/1]).

start_link() ->
    supervisor:start_link({local, ?MODULE}, ?MODULE, []).

init([]) ->
    SupFlags = #{
        strategy => one_for_one,
        intensity => 5,
        period => 60
    },

    ChildSpecs = [
        #{
            id => counter_server,
            start => {counter_server, start_link, []},
            restart => permanent,
            shutdown => 5000,
            type => worker,
            modules => [counter_server]
        },
        #{
            id => cache_server,
            start => {cache_server, start_link, [1000]},
            restart => permanent,
            shutdown => 5000,
            type => worker,
            modules => [cache_server]
        }
    ],

    {ok, {SupFlags, ChildSpecs}}.

%%%===================================================================
%%% Supervisor strategies
%%%===================================================================

%% one_for_one: Restart only failed child
init_one_for_one([]) ->
    SupFlags = #{strategy => one_for_one},
    Children = [worker_spec(worker1), worker_spec(worker2)],
    {ok, {SupFlags, Children}}.

%% one_for_all: Restart all children if any fails
init_one_for_all([]) ->
    SupFlags = #{strategy => one_for_all},
    Children = [worker_spec(worker1), worker_spec(worker2)],
    {ok, {SupFlags, Children}}.

%% rest_for_one: Restart failed child and all started after it
init_rest_for_one([]) ->
    SupFlags = #{strategy => rest_for_one},
    Children = [
        worker_spec(database),
        worker_spec(cache),  % Depends on database
        worker_spec(api)     % Depends on cache
    ],
    {ok, {SupFlags, Children}}.

worker_spec(Name) ->
    #{
        id => Name,
        start => {Name, start_link, []},
        restart => permanent,
        shutdown => 5000,
        type => worker
    }.

%%%===================================================================
%%% Nested supervisors (supervision tree)
%%%===================================================================

-module(app_supervisor).
-behaviour(supervisor).

-export([start_link/0, init/1]).

start_link() ->
    supervisor:start_link({local, ?MODULE}, ?MODULE, []).

init([]) ->
    SupFlags = #{strategy => one_for_one},

    ChildSpecs = [
        #{
            id => database_sup,
            start => {database_supervisor, start_link, []},
            restart => permanent,
            type => supervisor
        },
        #{
            id => api_sup,
            start => {api_supervisor, start_link, []},
            restart => permanent,
            type => supervisor
        },
        #{
            id => worker_sup,
            start => {worker_supervisor, start_link, []},
            restart => permanent,
            type => supervisor
        }
    ],

    {ok, {SupFlags, ChildSpecs}}.

%%%===================================================================
%%% Dynamic supervision
%%%===================================================================

-module(dynamic_sup).
-behaviour(supervisor).

-export([start_link/0, start_child/1, stop_child/1]).
-export([init/1]).

start_link() ->
    supervisor:start_link({local, ?MODULE}, ?MODULE, []).

start_child(Args) ->
    supervisor:start_child(?MODULE, [Args]).

stop_child(Pid) ->
    supervisor:terminate_child(?MODULE, Pid).

init([]) ->
    SupFlags = #{
        strategy => simple_one_for_one,
        intensity => 5,
        period => 60
    },

    ChildSpec = #{
        id => worker,
        start => {worker, start_link, []},
        restart => temporary,
        shutdown => 5000,
        type => worker
    },

    {ok, {SupFlags, [ChildSpec]}}.

Supervisor trees provide automatic fault recovery and system resilience.

Best Practices

  1. Use gen_server for stateful processes to leverage OTP infrastructure and error handling

  2. Implement all callback functions even if they return default values for completeness

  3. Keep state records simple to reduce complexity and improve maintainability

  4. Use handle_cast for fire-and-forget operations without response requirements

  5. Implement proper termination in terminate/2 for resource cleanup

  6. Set appropriate timeout values to prevent indefinite blocking in calls

  7. Use gen_statem for complex state machines with many states and transitions

  8. Design supervisor hierarchies that match application component dependencies

  9. Use appropriate restart strategies based on child process relationships

  10. Test supervisor behavior by intentionally crashing children to verify recovery

Common Pitfalls

  1. Blocking in handle_call prevents processing other messages causing deadlock

  2. Not matching all message patterns causes unhandled message accumulation

  3. Forgetting to reply in handle_call leaves callers waiting indefinitely

  4. Using wrong supervision strategy causes unnecessary process restarts

  5. Not setting process_flag trap_exit prevents graceful termination handling

  6. Creating circular dependencies in supervisor trees causes startup failures

  7. Using temporary restart for critical processes allows permanent failures

  8. Not implementing code_change prevents hot code upgrades

  9. Storing large state in gen_server causes memory issues

  10. Not handling timeout in state machines allows infinite blocking

When to Use This Skill

Apply gen_server for any stateful process requiring client-server interaction.

Use gen_statem when implementing protocols or systems with explicit state transitions.

Leverage supervisors for all applications requiring fault tolerance and automatic recovery.

Build supervisor trees to structure complex applications with multiple components.

Use OTP behaviors for production systems requiring reliability and maintainability.

Resources

Frequently asked questions

What does the Erlang Otp Behaviors AI skill do?

Use when oTP behaviors including gen_server for stateful processes, gen_statem for state machines, supervisors for fault tolerance, gen_event for event handling, and building robust, production-ready Erlang applications with proven patterns.

Why use Erlang Otp Behaviors on TypingMind?

Because you install it once and use it with any model. Erlang Otp Behaviors is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Erlang Otp Behaviors in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xuansenpa1/skillrevise/tree/main/data/skillsbench/tasks/fix-erlang-ssh-cve/environment/skills/erlang-otp-behaviors. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Erlang Otp Behaviors?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Erlang Otp Behaviors?

As many as you like. As long as a model supports skills, you can use Erlang Otp Behaviors with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Erlang Otp Behaviors AI skill free?

Yes. It is published on GitHub by xuansenpa1 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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