claude-code

name	claude-code
description	[Utilities] Use when you need claude Code CLI setup, configuration, troubleshooting, and feature guidance.

Codex compatibility note:

• Invoke repository skills with $skill-name in Codex; this mirrored copy rewrites legacy Claude /skill-name references.
• Prefer the plan-hard skill for planning guidance in this Codex mirror.
• Task tracker mandate: BEFORE executing any workflow or skill step, create/update task tracking for all steps and keep it synchronized as progress changes.
• User-question prompts mean to ask the user directly in Codex.
• Ignore Claude-specific mode-switch instructions when they appear.
• Strict execution contract: when a user explicitly invokes a skill, execute that skill protocol as written.
• Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required spawn_agent subagent(s) for that task.
• Do not skip, reorder, or merge protocol steps unless the user explicitly approves the deviation first.
• For workflow skills, execute each listed child-skill step explicitly and report step-by-step evidence.
• If a required step/tool cannot run in this environment, stop and ask the user before adapting.

Codex Project-Reference Loading (No Hooks)

Codex does not receive Claude hook-based doc injection. When coding, planning, debugging, testing, or reviewing, open project docs explicitly using this routing.

Always read:

• docs/project-config.json (project-specific paths, commands, modules, and workflow/test settings)
• docs/project-reference/docs-index-reference.md (routes to the full docs/project-reference/* catalog)
• docs/project-reference/lessons.md (always-on guardrails and anti-patterns)

Situation-based docs:

• Backend/CQRS/API/domain/entity changes: backend-patterns-reference.md, domain-entities-reference.md, project-structure-reference.md
• Frontend/UI/styling/design-system: frontend-patterns-reference.md, scss-styling-guide.md, design-system/README.md
• Spec/test-case planning or TC mapping: feature-docs-reference.md
• Integration test implementation/review: integration-test-reference.md
• E2E test implementation/review: e2e-test-reference.md
• Code review/audit work: code-review-rules.md plus domain docs above based on changed files

Do not read all docs blindly. Start from docs-index-reference.md, then open only relevant files for the task.

Quick Summary

Goal: Help users install, configure, troubleshoot, and extend Claude Code CLI (hooks, MCP, skills, commands).

Workflow:

1. Categorize — Identify problem type (Setup, Hooks, MCP, Context, Extensibility, Config)
2. Diagnose — Follow category-specific diagnostic steps
3. Fix & Verify — Apply solution and confirm it resolves the issue

Key Rules:

• Not for writing application code -- use feature/fix/refactor skills instead
• Never modify settings without user approval
• For hooks: check event type, script executability, and JSON output format

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

Claude Code

Purpose

Help users install, configure, troubleshoot, and extend Claude Code CLI -- Anthropic's agentic coding tool with skills, hooks, MCP servers, and slash commands.

When to Use

• Setting up Claude Code for the first time (installation, authentication)
• Troubleshooting hooks that don't fire or produce errors
• Diagnosing MCP server connection failures
• Understanding or resolving context window limits
• Creating or modifying slash commands and agent skills
• Configuring settings (model, allowed tools, output style)

When NOT to Use

• Writing application code -- use feature-implementation, fix, or refactoring skills
• Creating MCP servers from scratch -- use mcp-builder skill
• Managing existing MCP server connections -- use mcp-management skill
• AI prompt engineering -- use ai-artist skill

Prerequisites

• Access to .claude/ directory in the project root
• For hooks: read .claude/hooks/ directory structure
• For skills: read .claude/skills/ directory structure

Workflow

Step 1: Identify the Problem Category

User Says	Category	Go To
"install", "set up", "authenticate"	Setup	Step 2A
"hook not firing", "hook error"	Hook Issues	Step 2B
"MCP not connecting", "MCP error"	MCP Issues	Step 2C
"context too long", "compaction", "token limit"	Context Issues	Step 2D
"create skill", "create command"	Extensibility	Step 2E
"configure", "settings", "model"	Configuration	Step 2F

Step 2A: Setup

1. Check prerequisites: Node.js 18+, npm
2. Verify authentication: claude auth status
3. IF auth fails: guide through claude auth login
4. Verify project detection: check for CLAUDE.md in project root

Step 2B: Hook Issues

1. Read the hook file causing issues
2. Check hook event type matches expected trigger (PreToolUse, PostToolUse, SessionStart, Stop, SubagentStop)
3. Verify hook script is executable and has correct shebang
4. Check .claude/settings.json for hook registration
5. Test hook in isolation: run the script directly with mock input
6. Check for syntax errors in hook output (must be valid JSON for PreToolUse/PostToolUse)

Common fixes:

• Hook not firing: wrong event name or tool matcher pattern
• Hook errors: script not finding dependencies (check relative paths)
• Hook blocks unexpectedly: PreToolUse returning { "decision": "block" } incorrectly

Step 2C: MCP Issues

1. Check .claude/settings.json for MCP server configuration
2. Verify the MCP server process can start: run the command manually
3. Check environment variables (API keys, tokens) are set
4. Test connectivity: claude mcp list to see registered servers
5. IF timeout: increase timeout in config or check network

Common fixes:

• "Connection refused": MCP server not running or wrong port
• "Authentication failed": expired or missing API token
• "Tool not found": MCP server registered but tool name mismatch

Step 2D: Context Issues

1. Check current context usage (Claude will report when near limit)
2. IF approaching limit: suggest $compact command
3. Review if large files are being read unnecessarily
4. Check for recovery files in /tmp/ck/swap/ after compaction
5. Verify post-compact-recovery hook is configured for session continuity

Step 2E: Extensibility

1. For skills: read references/agent-skills.md for structure
2. For custom slash commands: create skills in .claude/skills/{name}/SKILL.md
3. Verify SKILL.md frontmatter has required fields (name, version, description)
4. Test: invoke the skill/command and verify it loads

Step 2F: Configuration

1. Read references/configuration.md for settings hierarchy
2. Settings locations: .claude/settings.json (project), ~/.claude/settings.json (user)
3. IMPORTANT: Never modify settings without user approval
4. Common settings: model selection, allowed tools, output verbosity

Step 3: Verification

• Confirm the fix resolves the user's issue
• Document any configuration changes made
• Warn if changes affect other team members (project-level settings)

Output Format

## Claude Code: [Issue/Task Summary]

### Problem

[What was wrong or what was requested]

### Solution

[Step-by-step fix or setup instructions]

### Files Changed

[List any config files modified, with before/after]

### Verification

[How to confirm the fix works]

Examples

Example 1: Hook Not Firing

User: "My PreToolUse hook for blocking large file reads isn't triggering"

Diagnosis:

1. Read .claude/settings.json -- hook registered under hooks.PreToolUse
2. Check tool matcher: "matcher": "Read" -- correct
3. Run script directly: node .claude/hooks/block-large-reads.cjs -- works
4. Found: Hook command uses %CLAUDE_PROJECT_DIR% but runs from wrong CWD

Fix: Update hook command to use absolute path or verify %CLAUDE_PROJECT_DIR% resolves correctly. Check that the hook entry in settings uses the correct variable syntax for the platform (Windows vs Unix).

Example 2: Setting Up a New Slash Command

User: "I want a /deploy command that runs our staging deployment"

Steps:

1. Create .claude/skills/deploy/SKILL.md:

Deploy to staging environment.

Run the following steps:

1. Verify all tests pass: `npm test`
2. Build the project: `npm run build`
3. Deploy: `npm run deploy:staging`
4. Report deployment status

2. Test: type /deploy in Claude Code CLI
3. Verify: command appears in autocomplete and executes the workflow

Reference Files

Load these for detailed guidance on specific topics:

Topic	File
Installation	references/getting-started.md
Slash commands	references/slash-commands.md
Skills creation	references/agent-skills.md
MCP servers	references/mcp-integration.md
Hooks system	references/hooks-comprehensive.md
Configuration	references/configuration.md
Troubleshooting	references/troubleshooting.md
Enterprise	references/enterprise-features.md

Related Skills

• mcp-builder -- for creating new MCP servers from scratch
• mcp-management -- for managing existing MCP server connections
• skill-creator -- for creating new agent skills with best practices

---

[IMPORTANT] Use task tracking 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:

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.

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 thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.

MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.

Closing Reminders

• MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using task tracking 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 task tracking.

Hookless Prompt Protocol Mirror (Auto-Synced)

Source: .claude/hooks/lib/prompt-injections.cjs + .claude/.ck.json

[WORKFLOW-EXECUTION-PROTOCOL] [BLOCKING] Workflow Execution Protocol — MANDATORY IMPORTANT MUST CRITICAL. Do not skip for any reason.

1. DETECT: Match prompt against workflow catalog
2. ANALYZE: Find best-match workflow AND evaluate if a custom step combination would fit better
3. ASK (REQUIRED FORMAT): Use a direct user question with this structure:
   • Question: "Which workflow do you want to activate?"
   • Option 1: "Activate [BestMatch Workflow] (Recommended)"
   • Option 2: "Activate custom workflow: [step1 → step2 → ...]" (include one-line rationale)
4. ACTIVATE (if confirmed): Call $workflow-start <workflowId> for standard; sequence custom steps manually
5. CREATE TASKS: task tracking for ALL workflow steps
6. EXECUTE: Follow each step in sequence [CRITICAL-THINKING-MINDSET] Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination principle: 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. AI Attention principle (Primacy-Recency): Put the 3 most critical rules at both top and bottom of long prompts/protocols so instruction adherence survives long context windows.

Learned Lessons

Lessons Learned

[CRITICAL] Hard-won project debugging/architecture rules. MUST ATTENTION apply BEFORE forming hypothesis or writing code.

Quick Summary

Goal: Prevent recurrence of known failure patterns — debugging, architecture, naming, AI orchestration, environment.

Top Rules (apply always):

• MUST ATTENTION verify ALL preconditions (config, env, DB names, DI regs) BEFORE code-layer hypothesis
• MUST ATTENTION fix responsible layer — NEVER patch symptom sites with caller-specific defensive code
• MUST ATTENTION use ExecuteInjectScopedAsync for parallel async + repo/UoW — NEVER ExecuteUowTask
• MUST ATTENTION name by PURPOSE not CONTENT — adding member forces rename = abstraction broken
• MUST ATTENTION persist sub-agent findings incrementally after each file — NEVER batch at end
• MUST ATTENTION Windows bash: verify Python alias (where python/where py) — NEVER assume python/python3 resolves

---

Debugging & Root Cause Reasoning

• [2026-04-11] Holistic-first: verify environment before code. Failure → list ALL preconditions (config, env vars, DB names, endpoints, DI regs, credentials, permissions, data prerequisites) → verify each via evidence (grep/cat/query) BEFORE code-layer hypothesis. Worst rabbit holes: diving nearest layer while bug sits elsewhere — e.g., hours debugging "sync timeout", real cause: test appsettings pointing wrong DB. Cheapest check first.
• [2026-04-01] Ask "whose responsibility?" before fixing. Trace: bug in caller (wrong data) or callee (wrong handling)? Fix responsible layer — NEVER patch symptom site masking real issue.
• [2026-04-01] Trace data lifecycle, not error site. Follow data: creation → transformation → consumption. Bug usually where data created wrong, not consumed.
• [2026-04-01] Code is caller-agnostic. Functions/handlers/consumers don't know who invokes them. Comments/guards/messages describe business intent — NEVER reference specific callers (tests, seeders, scripts).

Architecture Invariants

• [2026-03-31] ParallelAsync + repo/UoW MUST use ExecuteInjectScopedAsync, NEVER ExecuteUowTask. ExecuteUowTask creates new UoW but reuses outer DI scope (same DbContext) — parallel iterations sharing non-thread-safe DbContext silently corrupt data. ExecuteInjectScopedAsync creates new UoW + new DI scope (fresh repo per iteration).
• [2026-03-31] Bus message naming MUST include service name prefix — core services NEVER consume feature events. Prefix declares schema ownership (AccountUserEntityEventBusMessage = Accounts owns). Core services (Accounts, Communication) are leaders. Feature services (Growth, Talents) sending to core MUST use {CoreServiceName}...RequestBusMessage — never define own event for core to consume.

Naming & Abstraction

• [2026-04-12] Name PURPOSE not CONTENT — "OrXxx" anti-pattern. HrManagerOrHrOrPayrollHrOperationsPolicy names set members, not what it guards. Add role → rename = broken abstraction. Rule: names express DOES/GUARDS, not CONTAINS. Test: adding/removing member forces rename? YES = content-driven = bad → rename to purpose (e.g., HrOperationsAccessPolicy). Nuance: "Or" fine in behavioral idioms (FirstOrDefault, SuccessOrThrow) — expresses HAPPENS, not membership.

Environment & Tooling

• [2026-04-20] Windows bash: NEVER assume python/python3 resolves — verify alias first. Python may not be in bash PATH under those names. Check: where python / where py. Prefer py (Windows Python Launcher) for one-liners, node if JS alternative exists.

Test-specific lessons → docs/project-reference/integration-test-reference.md Lessons Learned section. Production-code anti-patterns → docs/project-reference/backend-patterns-reference.md Anti-Patterns section. Generic debugging/refactoring reminders → System Lessons in .claude/hooks/lib/prompt-injections.cjs.

---

Closing Reminders

• IMPORTANT MUST ATTENTION holistic-first: verify ALL preconditions (config, env, DB names, endpoints, DI regs) BEFORE code-layer hypothesis — cheapest check first
• IMPORTANT MUST ATTENTION fix responsible layer — NEVER patch symptom site; trace caller (wrong data) vs callee (wrong handling), fix root owner
• IMPORTANT MUST ATTENTION parallel async + repo/UoW → ALWAYS ExecuteInjectScopedAsync, NEVER ExecuteUowTask (shared DbContext = silent data corruption)
• IMPORTANT MUST ATTENTION bus message prefix = schema ownership; feature services NEVER define events for core services — use {CoreServiceName}...RequestBusMessage
• IMPORTANT MUST ATTENTION name by PURPOSE — adding/removing member forces rename = broken abstraction
• IMPORTANT MUST ATTENTION sub-agents MUST write findings after each file/section — NEVER batch all findings into one final write
• IMPORTANT MUST ATTENTION Windows bash: NEVER assume python/python3 resolves — run where python/where py first, use py launcher or node

[LESSON-LEARNED-REMINDER] [BLOCKING] Task Planning & Continuous Improvement — MANDATORY. Do not skip.

Break work into small tasks (task tracking) before starting. Add final task: "Analyze AI mistakes & lessons learned".

Extract lessons — ROOT CAUSE ONLY, not symptom fixes:

1. Name the FAILURE MODE (reasoning/assumption failure), not symptom — "assumed API existed without reading source" not "used wrong enum value".
2. Generality test: does this failure mode apply to ≥3 contexts/codebases? If not, abstract one level up.
3. Write as a universal rule — strip project-specific names/paths/classes. Useful on any codebase.
4. Consolidate: multiple mistakes sharing one failure mode → ONE lesson.
5. Recurrence gate: "Would this recur in future session WITHOUT this reminder?" — No → skip $learn.
6. Auto-fix gate: "Could $code-review/$code-simplifier/$security/$lint catch this?" — Yes → improve review skill instead.
7. BOTH gates pass → ask user to run $learn. [TASK-PLANNING] [MANDATORY] BEFORE executing any workflow or skill step, create/update task tracking for all planned steps, then keep it synchronized as each step starts/completes.