code-optimization
Minimal, dependency-light, async-first software architecture and code optimization.
Skill by alakbarr
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/alakbarr-code-optimization
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/code-optimization
What's inside
- Skill name
code-optimization- Description
- Minimal, dependency-light, async-first software architecture and code optimization.
- License
- MIT
- Instructions
- 38 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Monika Architecture & Code Optimization Playbook
## 1. Async-First I/O Invariants
- **Non-Blocking Execution**: All database queries, MT5 IPC bridge calls, network scrapers, and external HTTP requests MUST use `async/await`.
- **Prohibited**: Never invoke synchronous `time.sleep()`, synchronous `requests.get()`, or blocking DB calls inside async loops. Use `asyncio.sleep()` or `httpx.AsyncClient`.
## 2. SQLAlchemy 2.0 Modern Standards
- **Use Modern 2.0 Syntax**: Strictly utilize `select(Model).where(...)` syntax. Legacy 1.x `session.query(Model)` is deprecated and prohibited.
- **Transaction Context Managers**: Always encapsulate database mutations within safe transactional boundaries:
```python
from database.safe_ops import safe_commit
# Preferred pattern
async with session.begin():
stmt = select(SystemConfig).where(SystemConfig.key == "example_key")
result = (await session.execute(stmt)).scalar_one_or_none()
```
## 3. EventBus Decoupling Pattern
- Use `EventBus.emit(event_type, payload)` for cross-subsystem communication (e.g. notifying risk guards, updating position trackers) rather than importing concrete stage modules directly.
- Keeps cognitive layers (`analysis/`), fortress layers (`risk/`), and execution layers (`execution/`) cleanly isolated.
## 4. Error Boundary & Tool Handlers Pattern
- All domain tool handlers MUST catch internal exceptions and return structured dictionary responses (`{"error": "...", "status": "failed"}`) rather than raising unhandled exceptions into the LangGraph loop.
- Never catch raw `Exception` silently with `pass`. Log every unexpected error with appropriate context:
```python
try:
...
except Exception as e:
logger.warning(f"[{module_name}] Operation failed non-fatally: {e}")
return {"error": str(e), "status": "failed"}
```
## 5. Clean Imports & Anti-Bloat
- Avoid circular imports by importing type annotations under `if TYPE_CHECKING:` guards or importing domain handlers lazily inside tool execution methods.
- Standard Library First: Prefer `dataclasses`, `functools`, `typing`, `asyncio`, `re`, `json`, `datetime` over heavy third-party utility packages.From alakbarr/Monika, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 12, 2026 (17 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/alakbarr/Monika
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
code-optimization skill. Agent Mart. https://agentmart.dev/skills/alakbarr-code-optimization (last updated 2026-10-24)