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Trace codepaths in diffs, map against tests, auto-generate missing coverage — use before shipping PRs

Environment diagnostics — check providers, auth, config, hooks, scheduler, and more

Reverse-engineer design systems, tokens, and components from live products or screenshots

URL validation and content sanitization for untrusted sources — use when handling external input safely

Package and finalize completed work for delivery — use when a feature is done and ready to ship

Review code in two passes: spec compliance then quality — use for thorough PR or feature reviews

Show where you are in the workflow and what to do next — use for progress checks and orientation

Build features with tests-before-code rigor — use for new features needing test coverage

Structured multi-provider AI debates between Claude and available advisors — use for critical decisions

Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior

Present options with trade-offs for informed decision-making — use when choosing between approaches

Generate slide deck presentations from briefs — use when you need slides, pitch decks, or visual summaries

Persist design documents with branch tracking, revision chains, and cross-session discovery

Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables

Post-ship doc sync across project markdown. Use when: sync docs, update docs, document changes, release notes.

Decompose large tasks across parallel agents — use for migrations, multi-file refactors, or batch work

Write an AI-optimized PRD using multi-AI orchestration — use when scoping a new feature or product

Pick up where you left off from a previous session — use after context resets, compaction, or new conversations

How to handle code review feedback — verify before implementing, push back when wrong, never agree blindly

Roll back to a previous checkpoint via git — use when a change went wrong and you need to revert

Manage tasks with Claude Code native tools — use to track TODOs, delegate work, and monitor progress

Evidence before claims — run verification commands before declaring work complete, fixed, or passing

Process screenshot-based UI/UX feedback to fix visual issues — use when users share screenshots of bugs

Create zero-context implementation plans with bite-sized tasks — use for multi-step feature planning

Configure Claude Octopus — redirects to /octo:setup interactive wizard

UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html

Run a full build-and-ship pipeline from a spec — use for hands-off project generation

Wrap up a branch — run tests, create PR, merge or discard — use when implementation is done

Evidence before claims — run verification commands before declaring work complete, fixed, or passing

Lock in user goals upfront and validate outputs against them — use to prevent scope drift

Track project blockers, bugs, and gaps across sessions — use when issues pile up or need triage

Run tasks in a loop until goals are met — use for iterative refinement, polling, or convergence

Switch to Knowledge Work mode for research and writing — use when task is non-code focused

Craft better prompts using proven optimization techniques — use when your prompt needs refinement

Route ordinary init, review, and security requests to Claude-native capabilities first; escalate to Octopus only when multi-LLM diversity adds value

Brainstorm creatively with pattern spotting and paradox hunting — use for ideation and exploration

Multi-AI implementation using available external providers (Double Diamond Develop phase)

Multi-AI research using available external providers (Double Diamond Discover phase)

Decompose and execute large changes, migrations, or multi-issue fixes in parallel with quality gates

NLSpec authoring — use when you need a structured specification from multi-AI research and consensus

System architecture and API design with multi-AI consensus — use for design reviews and new subsystems

Audit codebases for quality, consistency, and broken patterns — use for pre-release or tech debt review

OpenClaw instance administration — manage hosts across macOS, Ubuntu/Debian, Docker, OCI, and Proxmox

Expert multi-AI code review with inline PR comments — use for thorough quality and security analysis

Auto-detect work context (Dev vs Knowledge) — use to tailor workflows based on current task type

Structured multi-provider AI debates between Claude and available advisors — use for critical decisions

Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior

Present options with trade-offs for informed decision-making — use when choosing between approaches