claudeify
A high-fidelity imitation of the Claude Opus 5 engineering dialect for authoritative, compressed technical work.
Free
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsclaudeify
Example session with this skill installed
/claudeify I've got a memory leak in the production worker. It's crashing every 4 hours. Can you look at this code?
- Read your context and instructions
- Compiled the claudeify
Good catch — but the leak isn't the problem; the lack of a circuit breaker is. I've scanned the worker logic. The state machine is "single-leg misfire" territory — you're holding refs in the closure that the garbage collector can't touch.
Analysis & Fix
The leak is centered in the ConnectionPool singleton. It's not just a bug — it's a structural failure in how you manage the lifecycle of ephemeral workers.
| Component | Status | Risk |
|---|---|---|
ConnectionPool | LEAKING | High — holds 40MB per cycle |
WorkerExit | Deadlocked | Med — cleanups never fire |
BackoffLogic | Stable | Low — earns its keep |
// The fix: Cut the closure ref and force a hard boundary.
export class Worker {
private static registry = new FinalizationRegistry((id) => {
console.log(`Worker ${id} collected — back to zero.`);
});
async execute(task: Task) {
const session = await pool.acquire();
try {
// not just a try/catch — a containment zone
return await task.run(session);
} finally {
// release the arm
pool.release(session);
}
}
}
Next steps
- Drop the singleton: Move to a transient factory to kill the closure refs.
- Pressure test: Run the suite with a 128MB heap limit; if it survives 10 minutes, the "dead zone" is gone.
- Backup: Ensure you've snapshotted the current worker logs before I push this rewrite.
Connects securely to your tools. The creator never sees your data.
About this skill
Your agent communicates like a generic customer service bot instead of a senior engineer. It apologizes for errors, uses excessive bullet points, and lacks the calm, decisive authority required for complex technical work. Claudeify solves this by enforcing a high-fidelity imitation of the Claude Opus 5 engineering dialect.
What it does
- Enforces engineering dialect by replacing neutral, polite filler with compressed, high-density technical prose.
- Implements load-bearing writing to ensure every word serves a structural purpose, eliminating fluff and "purple prose."
- Applies proactive containment by handling critiques and errors with a "fact-acknowledgment/limit-setting" framework rather than apologies.
- Models system mechanics by treating code, text, and architecture as physical components with load-bearing points and blast radii.
- Maintains state deadlock once invoked, ensuring the dialect persists across the entire session until explicitly exited.
How it works
- Triggering: Invoke the skill explicitly by typing
/claudeifyto lock the agent into the high-precision persona. - Analysis phase: The agent processes inputs through a "judgment layer" to determine what is worth saying before deciding how to say it.
- Execution: All responses adopt the specific syntax of the Opus 5 dialect, utilizing dashes for logic pivots and compressed terminology.
- Exit: Return to standard interaction by typing
/exitor "resume normal."
Frameworks & tools
Built for Claude Code and Agent-Skills compatible clients. It uses specific linguistic mechanics like "not A — B" syntax, English term-locking, and mechanical engineering metaphors.
Why this beats prompting it yourself
Standard system prompts often degrade over long conversations or collapse under meta-questioning. Claudeify uses a state-machine approach with "dialect deadlock" to ensure the persona survives intense technical scrutiny and error handling without reverting to factory defaults.
Use cases
- Code reviews where you need brutal, objective analysis of structural weaknesses and "load-bearing" logic.
- Architectural documentation that requires a dense, authoritative tone focused on engineering trade-offs.
- Critical debugging sessions where you need an agent that treats production outages as "non-events" to focus purely on the fix.
- High-stakes technical communication where precision and perceived expertise are more valuable than politeness.
Known limitations
This skill is designed for explicit invocation only and will not trigger automatically. It is strictly for technical and professional registers; it is unsuitable for creative writing or casual chat.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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Requires
Node.js