Slash Commands de Claude Code · página 6

Quick check-in. Works as manual command or scheduled trigger.

Evening review. Captures wins, lessons.

Deep reflection. Creates journal entry.

Morning kickoff. Sets MIT for the day.

Run pre-commit checks identical to GitHub CI (ruff, mypy, tests)

Create a release — stable or beta. Usage: /release [beta]

Route, create, improve, or inspect reusable AI skills with SkillForge

Automated multi-agent development workflow with quality gates from idea to production code

Start a Bernstein orchestration run with a goal

Show current Bernstein orchestration status

Gracefully stop a running Bernstein orchestration

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Configure OAuth providers, auth hooks, JWT lifetimes, and service keys for a Butterbase app

Deploy a frontend (React, Next.js, or static HTML) to a live URL on Butterbase

Develop, deploy, or debug a Butterbase serverless function

Stage 1 of the journey: concrete one-question-at-a-time idea brainstorm with inline Butterbase capability tagging.

Stage 2 of the journey: translate the idea + capability map into a concrete Butterbase plan (tables, RLS, auth, functions, storage, frontend).

Build a RAG knowledge base on Butterbase: ingest documents, run semantic search, generate synthesized answers

Design or modify a Butterbase database schema using the declarative DSL

Hackathon submission: assemble metadata from journey artifacts and call prep_and_submit_hackathon_entry.

Deprecated - use the aegis:brainstorming skill instead

Deprecated - use the aegis:executing-plans skill instead

Deprecated - use the aegis:writing-plans skill instead

Ask questions about memories and get context-aware answers

Show recent memories and activity timeline

Search memories for specific content or patterns

Show memory statistics and storage information

Look up library documentation using Context7 MCP tools for a specific task

Scrape and integrate documentation from provided URLs using Firecrawl tools

Build a McKinsey-style PPTX deck from a brief. Delegates to the mckinsey-slide-agent which picks the right template for each slide, explains its choice, and produces a real .pptx file.

Control thinking token limits via environment variable

Run complete two-agent validation on module+tests (contract extraction + test validation). Binary pass/fail with specific issues.

Implement tasks from an OpenSpec change (Experimental)

Archive a completed change in the experimental workflow

Enter explore mode - think through ideas, investigate problems, clarify requirements

Propose a new change - create it and generate all artifacts in one step

Run ad-hoc PostgreSQL analytics queries against dev/test database

Find and report technical debt in the codebase

Commit changes with auto-generated message showing command context, timestamp, and change count

Add a new Claude Code hook event with sounds, config, settings, scripts, and docs

Track Claude Code changelog and find what needs updating in this repo

Perform comprehensive data analysis on specified dataset

自动化完成整个数据分析工作流程，从数据质量检查到最终报告生成

Generate analysis code in specified language and analysis type

Generate research hypotheses and experimental designs based on data patterns

Perform data quality validation, checks, and monitoring for specified dataset

Generate comprehensive analysis reports for specified dataset

Create data visualizations for the specified dataset

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Smart router: classify requests and route to the correct agent + skill

Generate project-specific CLAUDE.md from repo analysis.

Triage GitHub notifications: fetch, classify, report actions needed.

Verify installation, diagnose issues, and guide first-time setup

Comprehensive PR review using specialized agents, with automatic retro knowledge capture

Reddit moderation: fetch modqueue, classify content, take mod actions

Learning system interface: stats, search, graduate learnings. Backed by learning.db (SQLite + FTS5).

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Quick job evaluation. Paste a JD and get a score plus one-paragraph summary. Faster than a full evaluate. Use when someone says 'quick eval', 'quick score', or 'just give me a number'.

Set up your job search profile. Paste your resume or answer a few questions. Takes 5 minutes. Needed before evaluating jobs.

Add a new method to both Airflow adapters

Add a new MCP tool to server.py

Verify code works with both Airflow 2.x and 3.x

Create smart commit with quality checks and conventional format

Create pull request with proper validation

Initialize ClaudeForge CI/CD system

Create GitHub release with automated notes

Competitive intelligence analysis with keyword gaps and opportunities identification

Complete ASO audit with keyword research, competitor intelligence, metadata optimization, and launch planning

Quick metadata optimization for Apple App Store and Google Play Store with copy-paste ready content

Generate comprehensive pre-launch checklist and timeline with specific dates for app store submission

Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.

Generate a custom checklist for the current feature based on user requirements.

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Create or update the project constitution from interactive or provided principle inputs, ensuring all dependent templates stay in sync.

Execute the implementation plan by processing and executing all tasks defined in tasks.md

Execute the implementation planning workflow using the plan template to generate design artifacts.

Create or update the feature specification from a natural language feature description.

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.

Diagnose and prune bloated Claude Code context. Run to slim down the current session before compacting or resuming.

Assess your Claude Code level (0-10) and get a personalized roadmap to the next one

Full autonomous security workflow — scan, dedup, prep, analyse, consensus, judge, exploit, patch, group

Analyze existing SARIF findings with LLM

Add, list, edit, or remove per-function annotations attached to source files

Audit authentication (JWT, cookies) and security logging coverage automatically

CodeQL deep static analysis with dataflow validation

List all available MANTISHACK commands

Autonomous crash root-cause analysis for C/C++ bugs

CVE patch discovery — find, acquire, and diff the fix commit for a CVE

Generate Mermaid visual maps from /understand or /validate output directories

Generate exploit proof-of-concepts for vulnerabilities (beta)

Binary fuzzing with AFL++ integration

Evidence-backed forensic investigation for GitHub repositories

Generate secure patches for vulnerabilities (beta)

Manage MANTISHACK projects — create, list, status, coverage, findings, diff, merge, report, clean, export

Software Composition Analysis — find vulnerable dependencies, gate CI, fix and pin

Scan a repository with Semgrep and CodeQL

Inspect per-model reliability across decision classes; answer natural-language questions about model competence

Run automated workflow tests for all commands

Map attack surface, trace data flows, hunt vulnerability variants