EasyPlatform ck-help

[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.

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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.

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

• Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
• Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
• Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
• Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
• When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
• Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
• Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
• Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
• Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
• Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.

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Quick Summary

Goal: Provide ClaudeKit usage guidance by running the help script and presenting results based on output type.

Workflow:

1. Translate — Convert user arguments to English if needed
2. Execute — Run

   python .claude/scripts/ck-help.py "$ARGUMENTS"

3. Detect Type — Read

   @CK_OUTPUT_TYPE

   marker (comprehensive-docs, category-guide, command-details, search-results, task-recommendations)
4. Present — Show COMPLETE script output verbatim, then add practical context and examples

Key Rules:

• Never replace or summarize script output; always show it fully then enhance

• /plan

  then

  /code

  is the correct flow; NEVER suggest

  /plan

  then

  /cook

• /cook

  is standalone (has its own planning)

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

Think harder. All-in-one ClaudeKit guide. Run the script and present output based on type markers.

Pre-Processing

IMPORTANT: Always translate

$ARGUMENTS

to English before passing to script.

The Python script only understands English keywords. If

$ARGUMENTS

is in another language:

1. Translate

   $ARGUMENTS

   to English
2. Pass the translated English string to the script

Execution

python .claude/scripts/ck-help.py "$ARGUMENTS"

Output Type Detection

The script outputs a type marker on the first line:

@CK_OUTPUT_TYPE:<type>

Read this marker and adjust your presentation accordingly:

@CK_OUTPUT_TYPE:comprehensive-docs

Full documentation (config, schema, setup guides).

Presentation:

1. Show the COMPLETE script output verbatim - every section, every code block
2. THEN ADD helpful context:
   • Real-world usage examples ("For example, if you're working on multiple projects...")
   • Common gotchas and tips ("Watch out for: ...")
   • Practical scenarios ("This is useful when...")
3. End with a specific follow-up question

Example enhancement after showing full output:

## Additional Tips

**When to use global vs local config:**
- Use global (~/.claude/.ck.json) for personal preferences like language, issue prefix style
- Use local (./.claude/.ck.json) for project-specific paths, naming conventions

**Common setup for teams:**
Each team member sets their locale globally, but projects share local config via git.

Need help setting up a specific configuration?

@CK_OUTPUT_TYPE:category-guide

Workflow guides for command categories (fix, plan, cook, etc.).

Presentation:

1. Show the complete workflow and command list
2. ADD practical context:
   • When to use this workflow vs alternatives
   • Real example: "If you encounter a bug in authentication, start with..."
   • Transition tips between commands
3. Offer to help with a specific task

@CK_OUTPUT_TYPE:command-details

Single command documentation.

Presentation:

1. Show full command info from script
2. ADD:
   • Concrete usage example with realistic input
   • When this command shines vs alternatives
   • Common flags or variations
3. Offer to run the command for them

@CK_OUTPUT_TYPE:search-results

Search matches for a keyword.

Presentation:

1. Show all matches from script
2. HELP user navigate:
   • Group by relevance if many results
   • Suggest most likely match based on context
   • Offer to explain any specific command
3. Ask what they're trying to accomplish

@CK_OUTPUT_TYPE:task-recommendations

Task-based command suggestions.

Presentation:

1. Show recommended commands from script
2. EXPLAIN the reasoning:
   • Why these commands fit the task
   • Suggested order of execution
   • What each step accomplishes
3. Offer to start with the first recommended command

Key Principle

Script output = foundation. Your additions = value-add.

Never replace or summarize the script output. Always show it fully, then enhance with your knowledge and context.

Important: Correct Workflows

• /plan

  →

  /code

  : Plan first, then execute the plan

• /cook

  : Standalone - plans internally, no separate

  /plan

  needed
• NEVER suggest

  /plan

  →

  /cook

  (cook has its own planning)

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Closing Reminders

• IMPORTANT MUST ATTENTION break work into small todo tasks using

  TaskCreate

  BEFORE starting
• IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
• IMPORTANT MUST ATTENTION cite

  file:line

  evidence for every claim (confidence >80% to act)
• IMPORTANT MUST ATTENTION add a final review todo task to verify work quality <!-- SYNC:critical-thinking-mindset:reminder -->
• MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact. <!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:ai-mistake-prevention:reminder -->
• MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction. <!-- /SYNC:ai-mistake-prevention:reminder -->