97-dev/SKILL.md
Apply timeless programming wisdom from "97 Things Every Programmer Should Know" when writing, reviewing, or refactoring code. Use for design decisions, code quality checks, professional development guidance, testing strategies, and workflow optimization.
npx skillsauth add deevsdeevs/agent-system 97-devInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Distilled principles from 97 Things Every Programmer Should Know. Apply when writing, reviewing, or making design decisions.
Code is design. Software development is a creative discipline requiring craftsmanship, not mechanical construction.
The code tells the truth. Documentation lies, comments decay - only executable code reveals actual behavior. Make code self-explanatory.
Care about your code. Excellence stems from attitude, not just knowledge. Craft elegant code that is clearly correct.
| Principle | One-liner | |-----------|-----------| | Simplicity | Remove everything unnecessary; less is more | | Boy Scout | Leave code cleaner than you found it | | DRY | Single authoritative representation for each piece of knowledge | | SRP | One reason to change per class/module/function | | Comments | Comment only what code cannot say - explain why, not what | | Tech debt | Pay immediately or track the compounding interest | | Testing | Non-negotiable professional obligation | | Errors | Always check, always handle, every time | | Next commit | Know exactly what you're committing before you start | | Users | You are not the user - observe, don't assume |
Load these when you need deeper guidance on specific topics:
When: Refactoring bloated code, making architectural decisions, deciding what to remove, questioning if features are needed. Covers: Beauty in simplicity, reduction over addition, improving by removing, code as design.
When: Code review, enforcing standards, improving maintainability, designing APIs and interfaces. Covers: Boy Scout Rule, DRY principle, Single Responsibility, interface design, code as truth.
When: Career decisions, team dynamics, handling pressure, technical debt discussions, attitude check. Covers: Professional responsibility, caring about code, long-term thinking, prudent debt management.
When: Writing tests, handling errors, debugging issues, arguing for test coverage, writing comments. Covers: Testing as engineering rigor, error handling discipline, debugging strategy, comment guidelines.
When: Professional development, skill building, code reading sessions, understanding complexity limits. Covers: Continuous learning strategies, deliberate practice, reading code, knowing your limits.
When: Planning work, commit strategy, user research, daily development practices. Covers: Know your next commit, you are not the user, version control practices, breaking things safely.
Writing code:
Reviewing code:
Debugging:
97 Things Every Programmer Should Know - O'Reilly, Creative Commons.
development
This skill should be used when the user asks about "market microstructure", "exchange mechanics", "order book", "auction", "NBBO", "Reg NMS", "trading venue", "halt", "LULD", "tick size", "maker-taker", "price-time priority", "SIP", "direct feed", "TRF", "wholesaler", "PFOF", "best execution", "trade-through", "ISO", "opening cross", "closing cross", "NOII", "ITCH", "OUCH", or mentions specific exchanges (Nasdaq, NYSE, CME, Binance, SHFE, DCE, CZCE, CFFEX, INE, etc.). For Chinese futures: "CTP", "综合交易平台", "夜盘", "night session", "看穿式监管", "position limits", "持仓限额", queue position in Chinese markets, or Chinese product codes (rb, cu, sc, if, ic, i, j, ta, ma, etc.). Provides hierarchical venue expertise for research and debugging trading systems.
development
This skill should be used when the user asks about Polars DataFrame library (Apache Arrow) for Python or Rust. Triggers: "polars expressions", "lazy vs eager", "scan_parquet streaming", "convert pandas to polars", "pyspark to polars", "kdb to polars", "group_by_dynamic", "rolling_mean", "polars window functions", "asof join", "polars GPU", "polars parquet", "LazyFrame". Time series: OHLCV resampling, rolling windows, financial data patterns. Performance: native expressions over map_elements, early projection, categorical types, streaming.
testing
Run research orchestration for data quality, factor geometry, hypothesis validation, and incident forensics. Use when you need SHIP/KILL/ITERATE decisions with strict validation. Triggers: mft-strategist, data-sentinel, factor-geometer, skeptic, forensic-auditor, research pipeline, hypothesis validation, post-mortem.
development
Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration.