Claude Code Slash Commands · page 10

Cortex decay engine — auto-archive stale memories (Pro)

Export memories to CLAUDE.md

Predict and return only memories relevant to your prompt (Pro)

Delete a memory by key

Run diagnostics on Nemp Memory health and integrity

Import memories from other AI providers (Pro)

Auto-detect project stack and save as memories

List all global memories

List all saved memory keys

View memory access log (reads, writes, deletes)

Export Nemp memories to Codex CLI, Cursor, and Windsurf rule files

Retrieve a global memory

Retrieve a memory by key or search query

Save a memory globally across all projects

Save a key-value memory entry to persistent storage

Analyze activity and suggest memories to save

Two-way sync between Nemp Memory and CLAUDE.md

Get CTO-level strategic and technical guidance

Get strategic guidance on build vs buy and technology decisions

Design system architecture with roadmap and technology recommendations

Validate plans, roadmaps, or proposals with ruthless honesty

Bootstrap or verify agents-shipgate as the deterministic merge gate for AI-generated agent capability changes

Aurora - independent community smart home orchestrator. Routes any smart home request to the right specialist skill and recommends the correct Claude model. Use this as your starting point for Home Assistant, ESPHome, Node-RED, or any IoT automation task.

Security audit for Solana programs (Anchor/native)

Benchmark CU usage and compare against baseline for regression detection

Build web client application (Next.js, React, Vite)

Build Solana program (Anchor or native)

Build Unity project (WebGL, Desktop, or PSG1)

Initialize forked template — setup CLAUDE.md and remove config repo scaffolding

Reproduce and debug a user-reported failing transaction against forked cluster state, mapping the failure back to source code

Deploy Solana program (devnet first, then mainnet)

AI-powered diff review for Solana-specific issues and code quality

Explain complex Solana/blockchain code with visual diagrams and step-by-step breakdowns

Generate TypeScript client from Solana program IDL using Codama or Anchor

Migrate from @solana/web3.js to @solana/kit

Plan feature implementation with technical specifications for Solana projects

Profile compute unit usage per instruction in a Solana program

Quick commit with automatic formatting, linting, and conventional commit message

Resync external skill submodules to latest upstream versions

Scaffold a new Solana project with programs, frontend, tests, and CI

Setup CI/CD pipeline with automated security checks for Solana programs

Configure MCP server API keys in .env

Run tests and automatically fix common issues

Run .NET/C# tests for Unity projects and backend services

Run Rust tests for Solana programs and backend services

Run TypeScript tests for Solana frontends and Anchor programs

Update solana-ai-kit to latest version from upstream

Generate documentation for Solana programs, APIs, and components

Infrastructure-first security audit — secrets, supply chain, CI/CD, LLM/skill security, OWASP, STRIDE. Complements /audit-solana (program-level)

Health check for the dev environment and solana-ai-kit config — read-only, with one exact fix-it command per failure

Memory consolidation — dedupe, contradiction-check, prune, and re-rank MEMORY.md + CLAUDE.md Project Learnings. Run after major refactors

Product quality review — first-time-user walkthrough, 8-dimension scorecard, prioritized fix roadmap. --harsh for the brutal roast variant

Resume from the most recent saved handoff

List recent handoffs and resume from a selected one

Save a rich handoff summary for resuming later

Enter REVIEW mode to validate implementation

List all memories across branches

Recall memories from current branch's memory bank

Save context to branch-aware memory bank

Rebase current branch onto trunk (origin/master or origin/main), predict and resolve conflicts

Enter EXECUTE mode to implement approved plan

Enter INNOVATE mode for brainstorming approaches

Enter PLAN mode to create detailed technical specifications

Enter RESEARCH mode for information gathering

Enable strict RIPER protocol enforcement

Execute full RIPER workflow for a feature

Execute multiple sprints in parallel based on dependency graph from sprint-plan.md

Build and validate locally for projects without remote deployment (prototypes, experiments, local-only dev)

Execute multi-sprint epic workflow from interactive scoping through deployment with parallel sprint execution and self-improvement

Execute feature development workflow from specification through production deployment with automated quality gates

Analyze workflow state and provide context-aware guidance with visual progress indicators and recommended next steps

Initialize project documentation, preferences, or design tokens

Implement small bug fixes and features (<100 LOC) without full workflow. Use for single-file changes, bug fixes, refactors, and minor enhancements that can be completed in under 30 minutes.

Enter deep craftsman mode - question everything, plan like Da Vinci, craft insanely great solutions, then materialize to roadmap

Display Vercel and Railway deployment quota usage with 24h rolling window analysis, quota reset predictions, and deployment strategy recommendations

Deploy feature through automated staging validation to production with rollback testing

Validate staging deployment before production through automated test review, rollback capability testing, guided manual validation, and optional gap capture for feedback loops

Audit workflow effectiveness and generate improvement recommendations after epic completion

Apply workflow improvements discovered during audit with approval workflow

Display workflow health dashboard with velocity trends, quality metrics, and improvement tracking

Post release announcement to X (Twitter) with GitHub link reply

Expert prompt engineer that creates optimized, XML-structured prompts with intelligent depth selection

Automate complete release workflow for Spec-Flow package (version bump, CHANGELOG, git tag, GitHub release, npm publish)

Initialize and manage parallel AI developer worktrees (Dev Studio). Creates persistent worktrees for concurrent Claude Code agents.

Manage workflow context (handoffs, todos, session status)

Generate project-specific skills, commands, or hooks based on detected patterns from workflow audits

Create Claude Code extensions (prompts, commands, agents, skills, hooks)

Delegate one or more prompts to fresh sub-task contexts with parallel or sequential execution

Diagnose and repair corrupted workflow state. Use when state.yaml is invalid, phases are stuck, or domain-memory.yaml has stale locks.

Reduce spec ambiguity via targeted questions with adaptive auto-invocation (planning is 80% of success)

Execute systematic debugging workflow via spec-cli.py, track failures in error-log.md, and generate session reports

Finalize documentation (CHANGELOG, README, help docs), update GitHub milestones/releases, and cleanup branches after production deployment

Execute all implementation tasks from tasks.md with test-driven development, parallel batching, and atomic commits

Run 15 parallel quality gates (core checks, E2E/visual, pre-CI validation, plus contracts/load/integrity for epics) with auto-retry for transient failures

Generate implementation plan from spec using research-driven design (meta-prompting for epics)

Generate complete feature specification with research, requirements analysis, and quality validation

Generate TDD task breakdown from plan.md with test-first sequencing and mockup-first mode (--ui-first)

Analyze spec, plan, and tasks for consistency violations, breaking changes, and constitution compliance. Generates analysis-report.md with CRITICAL/MAJOR/MINOR findings.

Add, update, or remove engineering principles in docs/project/engineering-principles.md with atomic versioned commits

Interactive wizard to configure user preferences for command defaults and behavior