coding-level

name	coding-level
version	1.0.0
description	[Utilities] Use when you need to set coding experience level for tailored explanations.
disable-model-invocation	false

Quick Summary

Goal: Set the user's coding experience level to tailor explanation depth and detail.

Workflow:

1. Ask -- Query user for their experience level (beginner/intermediate/expert)
2. Configure -- Adjust response verbosity and explanation depth accordingly

Key Rules:

• Expert: minimal explanation, focus on code and architecture
• Intermediate: moderate explanation with key concepts
• Beginner: detailed explanation with examples and context

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

Set your coding experience level for tailored explanations and output format.

Usage

/coding-level [0-5]

Levels

Level	Name	Description
0	ELI5	Zero coding experience - analogies, no jargon, step-by-step
1	Junior	0-2 years - concepts explained, WHY not just HOW
2	Mid-Level	3-5 years - design patterns, system thinking
3	Senior	5-8 years - trade-offs, business context, architecture
4	Tech Lead	8-10 years - risk assessment, business impact, strategy
5	God Mode	Expert - maximum efficiency, minimal explanation

Default when unset: -1 (disabled — no style injection, saves tokens). Levels 0–5 are opt-in via codingLevel in .claude/.ck.json. (Canonical default -1 — matches ck-config-loader.cjs:284; full settings reference: /ck-help config.)

How It Works

1. Set codingLevel in .claude/.ck.json
2. Guidelines are automatically injected on every session start
3. No manual activation needed - it just works!

Example

Set level 1 in .claude/.ck.json:

{
  "codingLevel": 1,
  ...
}

Next session, Claude will automatically:

• Explain concepts and techniques clearly
• Always explain WHY, not just HOW
• Point out common mistakes
• Add "Key Takeaways" after implementations

Optional: Manual Output Styles

For finer control, you can also use /output-style with these styles:

• coding-level-0-eli5
• coding-level-1-junior
• coding-level-2-mid
• coding-level-3-senior
• coding-level-4-lead
• coding-level-5-god

---

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

AI Mistake Prevention — Failure modes to avoid on every task:

Re-read files after context changes. Context compaction, resume, or long-running work can make memory stale; verify current files before acting. Verify generated content against source evidence. AI hallucinates APIs, names, claims, and document facts. Check the relevant source before documenting or referencing. Check downstream references before deleting or renaming. Removing an artifact can stale docs, generated mirrors, configs, and callers; map references first. Trace the full impact chain after edits. Changing a definition can miss derived outputs and consumers. Follow the affected chain before declaring done. Verify ALL affected outputs, not just the first. One green check is not all green checks; validate every output surface the change can affect. Assume existing values are intentional — ask WHY before changing. Before changing a constant, limit, flag, wording, or pattern, read nearby context and history. Surface ambiguity before acting — don't pick silently. Multiple valid interpretations require an explicit question or stated assumption with risk. Keep shared guidance role-relevant. Universal guidance must help every receiving skill or agent; code-specific obligations belong only in code-specific protocols.

Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.

MUST ATTENTION apply critical + sequential thinking — every claim needs appropriate traced evidence (file:line for repo/code claims; source URL or artifact section for research, product, content, and docs claims); confidence >80% to act, <60% DO NOT recommend. Anti-hallucination: never present guess as fact, admit uncertainty freely, cross-reference independently, stay skeptical of own confidence.

MUST ATTENTION apply AI mistake prevention — verify generated content against evidence, trace downstream references before deleting or renaming, verify all affected outputs, re-read files after context loss, and surface ambiguity before acting.

Closing Reminders

IMPORTANT MUST ATTENTION Goal: Set the user's coding experience level to tailor explanation depth and detail.

Protocols in force (concise digest of the SYNC/shared blocks this skill carries):

• Critical Thinking: apply critical + sequential thinking; every claim traced, confidence >80% to act.

• AI Mistake Prevention: verify generated content against evidence, trace downstream references, verify all affected outputs, re-read after context loss, surface ambiguity.

• MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting

• MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code

• MANDATORY IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)

• MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality

[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.