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Guide for OTP and Elixir concurrency. Use when implementing GenServers, designing supervision trees, or building fault-tolerant concurrent systems.
Guide for OTP and Elixir concurrency. Use when implementing GenServers, designing supervision trees, or building fault-tolerant concurrent systems.
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This skill activates when working with OTP behaviors, building concurrent systems, managing processes, or implementing fault-tolerant architectures in Elixir.
Full catalogs for GenServer, Supervisor, Task, and Agent — client/server structure, dynamic supervision, restart configuration — live in references/behaviors.md. Two decisions from that catalog are worth keeping here:
:one_for_one restarts only the crashed child; :one_for_all restarts every child; :rest_for_one restarts the crashed child and every child started after it.Basic message passing:
# Send message
send(pid, {:hello, "world"})
# Receive message
receive do
{:hello, msg} -> IO.puts(msg)
after
5000 -> IO.puts("Timeout")
end
Register processes by name:
# Local registration
Process.register(self(), :my_process)
send(:my_process, :hello)
# Via Registry
{:ok, _} = Registry.start_link(keys: :unique, name: MyApp.Registry)
{:ok, pid} = GenServer.start_link(MyWorker, nil,
name: {:via, Registry, {MyApp.Registry, "worker_1"}}
)
# Look up process
[{pid, _}] = Registry.lookup(MyApp.Registry, "worker_1")
Links - Bidirectional, propagate exits:
# Link processes
Process.link(pid)
# Spawn linked
spawn_link(fn -> do_work() end)
Monitors - Unidirectional, receive DOWN messages:
ref = Process.monitor(pid)
receive do
{:DOWN, ^ref, :process, ^pid, reason} ->
IO.puts("Process died: #{inspect(reason)}")
end
Chain operations with concurrency:
defmodule Pipeline do
def process(data) do
data
|> async(&step1/1)
|> async(&step2/1)
|> async(&step3/1)
|> await_all()
end
defp async(input, fun) do
Task.async(fn -> fun.(input) end)
end
defp await_all(tasks) when is_list(tasks) do
Enum.map(tasks, &Task.await/1)
end
end
Implement a worker pool:
defmodule MyApp.WorkerPool do
use GenServer
def start_link(opts) do
pool_size = Keyword.get(opts, :size, 10)
GenServer.start_link(__MODULE__, pool_size, name: __MODULE__)
end
def execute(fun) do
GenServer.call(__MODULE__, {:execute, fun})
end
@impl true
def init(pool_size) do
workers = for _ <- 1..pool_size do
{:ok, pid} = Task.Supervisor.start_link()
pid
end
{:ok, %{workers: workers, index: 0}}
end
@impl true
def handle_call({:execute, fun}, _from, state) do
worker = Enum.at(state.workers, state.index)
task = Task.Supervisor.async_nolink(worker, fun)
new_index = rem(state.index + 1, length(state.workers))
{:reply, task, %{state | index: new_index}}
end
end
For producer-consumer pipelines:
defmodule Producer do
use GenStage
def start_link(initial) do
GenStage.start_link(__MODULE__, initial, name: __MODULE__)
end
def init(initial) do
{:producer, initial}
end
def handle_demand(demand, state) do
events = Enum.to_list(state..state + demand - 1)
{:noreply, events, state + demand}
end
end
defmodule Consumer do
use GenStage
def start_link() do
GenStage.start_link(__MODULE__, :ok)
end
def init(:ok) do
{:consumer, :ok}
end
def handle_events(events, _from, state) do
Enum.each(events, &process_event/1)
{:noreply, [], state}
end
end
In-memory key-value storage:
# Create table
:ets.new(:my_table, [:named_table, :public, read_concurrency: true])
# Insert
:ets.insert(:my_table, {:key, "value"})
# Lookup
[{:key, value}] = :ets.lookup(:my_table, :key)
# Delete
:ets.delete(:my_table, :key)
# Match patterns
:ets.match(:my_table, {:"$1", "value"})
# Iterate
:ets.foldl(fn {k, v}, acc -> [{k, v} | acc] end, [], :my_table)
read_concurrency: true for read-heavy workloadswrite_concurrency: true for write-heavy workloads:set (default) for unique keys:bag or :duplicate_bag for multiple values per keyLet-it-crash philosophy, when to handle errors explicitly instead, and a circuit-breaker pattern live in references/fault-tolerance.md.
defmodule MyApp.CounterTest do
use ExUnit.Case, async: true
test "increments counter" do
{:ok, pid} = MyApp.Counter.start_link(0)
assert MyApp.Counter.increment(pid) == 1
assert MyApp.Counter.increment(pid) == 2
assert MyApp.Counter.get_value(pid) == 2
end
end
test "process receives message" do
parent = self()
spawn(fn ->
receive do
:ping -> send(parent, :pong)
end
end)
send(pid, :ping)
assert_receive :pong, 1000
end
test "supervisor restarts crashed worker" do
{:ok, sup} = Supervisor.start_link([MyApp.Worker], strategy: :one_for_one)
[{_, worker_pid, _, _}] = Supervisor.which_children(sup)
# Crash the worker
Process.exit(worker_pid, :kill)
# Wait for restart
Process.sleep(100)
# Verify new worker started
[{_, new_pid, _, _}] = Supervisor.which_children(sup)
assert new_pid != worker_pid
assert Process.alive?(new_pid)
end
Launch Observer for visual process inspection:
:observer.start()
Inspect running processes:
# List all processes
Process.list()
# Process information
Process.info(pid)
# Message queue length
{:message_queue_len, count} = Process.info(pid, :message_queue_len)
# Current function
{:current_function, {mod, fun, arity}} = Process.info(pid, :current_function)
Use :sys module for debugging:
# Enable tracing
:sys.trace(pid, true)
# Get state
:sys.get_state(pid)
# Get status
:sys.get_status(pid)
read_concurrency for read-heavy workloadsreferences/behaviors.md — Full GenServer, Supervisor, Task, and Agent catalogreferences/fault-tolerance.md — Let-it-crash philosophy, explicit error handling, circuit breaker patternname: otp description: Guide for OTP and Elixir concurrency. Use when implementing GenServers, designing supervision trees, or building fault-tolerant concurrent systems.
---
name: otp
description: Guide for OTP and Elixir concurrency. Use when implementing GenServers, designing supervision trees, or building fault-tolerant concurrent systems.
---
# Elixir OTP and Concurrency
This skill activates when working with OTP behaviors, building concurrent systems, managing processes, or implementing fault-tolerant architectures in Elixir.
## OTP Behaviors
Full catalogs for GenServer, Supervisor, Task, and Agent — client/server structure, dynamic supervision, restart configuration — live in `references/behaviors.md`. Two decisions from that catalog are worth keeping here:
- **Agent vs GenServer**: use Agent for simple key-value state; use GenServer when you need complex logic, callbacks, or process lifecycle management.
- **Supervisor restart strategies**: `:one_for_one` restarts only the crashed child; `:one_for_all` restarts every child; `:rest_for_one` restarts the crashed child and every child started after it.
## Process Communication
### send/receive
Basic message passing:
```elixir
# Send message
send(pid, {:hello, "world"})
# Receive message
receive do
{:hello, msg} -> IO.puts(msg)
after
5000 -> IO.puts("Timeout")
end
```
### Process Registration
Register processes by name:
```elixir
# Local registration
Process.register(self(), :my_process)
send(:my_process, :hello)
# Via Registry
{:ok, _} = Registry.start_link(keys: :unique, name: MyApp.Registry)
{:ok, pid} = GenServer.start_link(MyWorker, nil,
name: {:via, Registry, {MyApp.Registry, "worker_1"}}
)
# Look up process
[{pid, _}] = Registry.lookup(MyApp.Registry, "worker_1")
```
### Process Links and Monitors
**Links** - Bidirectional, propagate exits:
```elixir
# Link processes
Process.link(pid)
# Spawn linked
spawn_link(fn -> do_work() end)
```
**Monitors** - Unidirectional, receive DOWN messages:
```elixir
ref = Process.monitor(pid)
receive do
{:DOWN, ^ref, :process, ^pid, reason} ->
IO.puts("Process died: #{inspect(reason)}")
end
```
## Concurrency Patterns
### Pipeline Pattern
Chain operations with concurrency:
```elixir
defmodule Pipeline do
def process(data) do
data
|> async(&step1/1)
|> async(&step2/1)
|> async(&step3/1)
|> await_all()
end
defp async(input, fun) do
Task.async(fn -> fun.(input) end)
end
defp await_all(tasks) when is_list(tasks) do
Enum.map(tasks, &Task.await/1)
end
end
```
### Worker Pool
Implement a worker pool:
```elixir
defmodule MyApp.WorkerPool do
use GenServer
def start_link(opts) do
pool_size = Keyword.get(opts, :size, 10)
GenServer.start_link(__MODULE__, pool_size, name: __MODULE__)
end
def execute(fun) do
GenServer.call(__MODULE__, {:execute, fun})
end
@impl true
def init(pool_size) do
workers = for _ <- 1..pool_size do
{:ok, pid} = Task.Supervisor.start_link()
pid
end
{:ok, %{workers: workers, index: 0}}
end
@impl true
def handle_call({:execute, fun}, _from, state) do
worker = Enum.at(state.workers, state.index)
task = Task.Supervisor.async_nolink(worker, fun)
new_index = rem(state.index + 1, length(state.workers))
{:reply, task, %{state | index: new_index}}
end
end
```
### Backpressure with GenStage
For producer-consumer pipelines:
```elixir
defmodule Producer do
use GenStage
def start_link(initial) do
GenStage.start_link(__MODULE__, initial, name: __MODULE__)
end
def init(initial) do
{:producer, initial}
end
def handle_demand(demand, state) do
events = Enum.to_list(state..state + demand - 1)
{:noreply, events, state + demand}
end
end
defmodule Consumer do
use GenStage
def start_link() do
GenStage.start_link(__MODULE__, :ok)
end
def init(:ok) do
{:consumer, :ok}
end
def handle_events(events, _from, state) do
Enum.each(events, &process_event/1)
{:noreply, [], state}
end
end
```
## ETS - Erlang Term Storage
In-memory key-value storage:
```elixir
# Create table
:ets.new(:my_table, [:named_table, :public, read_concurrency: true])
# Insert
:ets.insert(:my_table, {:key, "value"})
# Lookup
[{:key, value}] = :ets.lookup(:my_table, :key)
# Delete
:ets.delete(:my_table, :key)
# Match patterns
:ets.match(:my_table, {:"$1", "value"})
# Iterate
:ets.foldl(fn {k, v}, acc -> [{k, v} | acc] end, [], :my_table)
```
### ETS Best Practices
- Use `read_concurrency: true` for read-heavy workloads
- Use `write_concurrency: true` for write-heavy workloads
- Prefer `:set` (default) for unique keys
- Use `:bag` or `:duplicate_bag` for multiple values per key
- Always own ETS tables in a GenServer or Supervisor to prevent data loss
## Error Handling and Fault Tolerance
Let-it-crash philosophy, when to handle errors explicitly instead, and a circuit-breaker pattern live in `references/fault-tolerance.md`.
## Testing Concurrent Systems
### Testing GenServers
```elixir
defmodule MyApp.CounterTest do
use ExUnit.Case, async: true
test "increments counter" do
{:ok, pid} = MyApp.Counter.start_link(0)
assert MyApp.Counter.increment(pid) == 1
assert MyApp.Counter.increment(pid) == 2
assert MyApp.Counter.get_value(pid) == 2
end
end
```
### Testing Asynchronous Processes
```elixir
test "process receives message" do
parent = self()
spawn(fn ->
receive do
:ping -> send(parent, :pong)
end
end)
send(pid, :ping)
assert_receive :pong, 1000
end
```
### Testing Supervision
```elixir
test "supervisor restarts crashed worker" do
{:ok, sup} = Supervisor.start_link([MyApp.Worker], strategy: :one_for_one)
[{_, worker_pid, _, _}] = Supervisor.which_children(sup)
# Crash the worker
Process.exit(worker_pid, :kill)
# Wait for restart
Process.sleep(100)
# Verify new worker started
[{_, new_pid, _, _}] = Supervisor.which_children(sup)
assert new_pid != worker_pid
assert Process.alive?(new_pid)
end
```
## Debugging Concurrent Systems
### Observer
Launch Observer for visual process inspection:
```elixir
:observer.start()
```
### Process Info
Inspect running processes:
```elixir
# List all processes
Process.list()
# Process information
Process.info(pid)
# Message queue length
{:message_queue_len, count} = Process.info(pid, :message_queue_len)
# Current function
{:current_function, {mod, fun, arity}} = Process.info(pid, :current_function)
```
### Tracing
Use `:sys` module for debugging:
```elixir
# Enable tracing
:sys.trace(pid, true)
# Get state
:sys.get_state(pid)
# Get status
:sys.get_status(pid)
```
## Performance Considerations
### Process Spawning
- Processes are lightweight (< 2KB overhead)
- Spawning thousands/millions of processes is normal
- Use process pools when spawn rate is very high
### Message Passing
- Messages are copied between processes
- Large messages are expensive - consider ETS or persistent_term
- Use binary for efficient large data transfer
### Bottlenecks
- Single GenServer can become bottleneck
- Solution: shard state across multiple processes
- Use ETS with `read_concurrency` for read-heavy workloads
## Key Principles
- **Embrace concurrency**: Use processes liberally, they're cheap
- **Let it crash**: Don't write defensive code, use supervision
- **Isolate failures**: Design supervision trees to contain failures
- **Communicate via messages**: Avoid shared state between processes
- **Use the right tool**: GenServer for state, Task for work, Agent for simple state
- **Test at boundaries**: Test process APIs, not internal implementation
- **Monitor and observe**: Use Observer and logging to understand system behavior
## References
- `references/behaviors.md` — Full GenServer, Supervisor, Task, and Agent catalog
- `references/fault-tolerance.md` — Let-it-crash philosophy, explicit error handling, circuit breaker pattern
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Review before install
License: MIT
Install targets
Codex install prompt
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Quality
55/100
Promising
Trust
68/100
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"No OpenAgentSkill engagement data yet",
"AI review approval is missing",
"Quality score needs review",
"GitHub adoption: 25 GitHub stars",
"Stars/forks activity: 25 stars, 6 forks; issue activity unavailable in current metadata"
],
"agent_contract": {
"task_input": "Use otp in an agent workflow",
"recommended_action": "Require human approval before installing into a real workspace.",
"install_policy": "review",
"minimum_review_before_use": [
"Trust: 76/100 Strong shortlist",
"Audit: 76/100 Needs review",
"Safety: 64/100 Review before install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "vinnie357-otp (otp)",
"install_command": "npx skills add vinnie357/claude-skills --skill otp",
"risk_summary": "Needs review; Reviewed with permission notes; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "vinnie357-otp",
"task": "Use otp in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/vinnie357-otp",
"api": "https://www.openagentskill.com/api/agent/skills/vinnie357-otp",
"audit": "https://www.openagentskill.com/skills/vinnie357-otp/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=vinnie357-otp&task=Use%20otp%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20otp%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20otp%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/vinnie357-otp/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/vinnie357-otp"
}
}Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
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Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Sandbox only
Audit
76/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.