Big AI companies love announcing tiny features like they’re unveiling a new particle accelerator.
“We’re excited to share that timers are coming… sometime next year.”
A timer.
A stopwatch.
A feature your $5 kitchen gadget already has.
Meanwhile, in the coderpunk underground, we’re over here rolling up sleeves and shipping features before the corporate roadmap finishes loading.
Let me show you how I added a voice‑controlled stopwatch skill to my AI using the Livingrimoire modular software design pattern — and activated it with one line of code.
Yes. One.
🧩 Why Corporate AI Moves Slow
It’s not because timers are hard.
It’s because their architecture is a gluecode monolith.
Every “simple” feature touches:
- product layers
- safety layers
- UI layers
- backend services
- telemetry
- compliance
- enterprise requirements
- internationalization
- accessibility
- and a dozen teams who all need meetings
By the time they finish planning the kickoff, I’ve already shipped the feature.
⚡ Enter: The Livingrimoire Pattern
The Livingrimoire is a plug‑and‑play AI skill architecture.
Each skill is:
- isolated
- modular
- deterministic
- dormant until triggered
- hot‑swappable
- activated with 1 LOC
This is the opposite of corporate gluecode.
This is coderpunk engineering.
🕒 The Stopwatch Skill (Yes, My AI Has One Now)
Here’s what it does:
- “start stopwatch” → begins timing
- “pause stopwatch” → freezes time
- “resume stopwatch” → continues
- “reset stopwatch” → clears
- “stopwatch time” → reports elapsed
- “stopwatch status” → tells you running/paused
- Auto‑announces every minute milestone
All wrapped inside a Livingrimoire skill class.
And then I activate it with:
ai.add_skill(DiStopWatch())
That’s the entire integration.
📦 Paste Your Skill Code Here
(This marker is exactly where you drop your full DiStopWatch + Timer code block in the dev.to article.)
import time
class DiStopWatch(Skill):
"""
Stopwatch skill for voice-controlled timing.
Auto-announces at each minute milestone while running.
"""
def __init__(self):
super().__init__()
self.timer = Timer()
self.last_announced_minute = 0
# Override
def input(self, ear: str, skin: str, eye: str):
# ear is already lowercased and stripped upstream
if ear == "start stopwatch":
self.timer.start_timer()
self.last_announced_minute = 0
self.setSimpleAlg("Stopwatch started from zero")
return
if ear == "pause stopwatch":
self.timer.pause_timer()
self.setSimpleAlg("Stopwatch paused")
return
if ear == "resume stopwatch":
self.timer.resume_timer()
self.setSimpleAlg("Stopwatch resumed")
return
if ear == "reset stopwatch":
self.timer.reset_timer()
self.last_announced_minute = 0
self.setSimpleAlg("Stopwatch reset to zero")
return
if ear == "stopwatch time":
elapsed = self.timer.get_time_elapsed()
self.setSimpleAlg(f"Elapsed time: {elapsed}")
return
if ear == "stopwatch status":
if not self.timer._is_running:
status = "not running"
elif self.timer._is_paused:
status = "paused"
else:
status = "running"
self._check_and_announce_minute()
self.setSimpleAlg(f"Stopwatch is {status}")
return
# Auto-check minute milestone on any input while running
if self.timer._is_running and not self.timer._is_paused:
self._check_and_announce_minute()
def _check_and_announce_minute(self):
"""Check if a new minute has elapsed and announce it."""
current_seconds = self.timer.get_current_seconds()
current_minute = int(current_seconds // 60)
if current_minute > self.last_announced_minute and current_minute > 0:
self.last_announced_minute = current_minute
minute_word = "minute" if current_minute == 1 else "minutes"
self.setSimpleAlg(f"{current_minute} {minute_word} elapsed")
def skillNotes(self, param: str) -> str:
if param == "notes":
return "Voice-controlled stopwatch with automatic minute announcements"
if param == "triggers":
return "start stopwatch, pause stopwatch, resume stopwatch, reset stopwatch, stopwatch time, stopwatch status"
return "Note unavailable"
class Timer:
"""Precision timing. No redundancy."""
def __init__(self):
self._start_time = None
self._paused_elapsed = 0.0
self._is_paused = False
self._is_running = False
def start_timer(self):
self._start_time = time.perf_counter()
self._paused_elapsed = 0.0
self._is_paused = False
self._is_running = True
def pause_timer(self):
if self._is_running and not self._is_paused:
self._paused_elapsed += time.perf_counter() - self._start_time
self._is_paused = True
def resume_timer(self):
if self._is_running and self._is_paused:
self._start_time = time.perf_counter()
self._is_paused = False
def reset_timer(self):
self._is_running = False
self._is_paused = False
self._paused_elapsed = 0.0
self._start_time = None
def get_current_seconds(self):
"""Get raw total seconds elapsed."""
if not self._is_running:
return 0
if self._is_paused:
return self._paused_elapsed
return self._paused_elapsed + (time.perf_counter() - self._start_time)
def get_time_elapsed(self):
"""Get formatted elapsed time as string."""
total_seconds = self.get_current_seconds()
hours = int(total_seconds // 3600)
minutes = int((total_seconds % 3600) // 60)
seconds = int(total_seconds % 60)
parts = []
if hours > 0:
parts.append(f"{hours} hour{'s' if hours != 1 else ''}")
if minutes > 0:
parts.append(f"{minutes} minute{'s' if minutes != 1 else ''}")
if seconds > 0 or not parts:
parts.append(f"{seconds} second{'s' if seconds != 1 else ''}")
return " ".join(parts)
🧠 Why This Matters
This isn’t about a stopwatch.
This is about architecture.
Corporate AI:
“We need a year to integrate timers.”
Livingrimoire AI:
“Hold my keyboard.”
When your system is modular, you don’t wait for permission.
You don’t wait for a roadmap.
You don’t wait for a quarterly OKR.
You just build.
🧨 The Coderpunk Philosophy
The Livingrimoire pattern isn’t just a framework.
It’s a mindset:
- Build small
- Build modular
- Build fast
- Build features as skills
- Let the AI evolve by plugging in new abilities
- No gluecode
- No monolith
- No corporate ceremony
This is how you outpace giants.
Not by being bigger.
By being lighter.
🔗 Want to Try It Yourself?
The Livingrimoire project is open and evolving.
Check out the repo, explore the pattern, and start building your own AI skills:
👉 https://github.com/yotamarker/LivinGrimoire
If you can write a class, you can write a skill.
If you can write a skill, you can evolve your AI.
If you can evolve your AI, you’re already ahead of the corporate roadmap.
