# Lobster Workflow > Use this when starting any LOBSTER workflow -- planning, building, reviewing, testing, or coordinating a team of agents - Skill: `tomevault-io/lobster-workflow` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/lobster-workflow` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/lobster-workflow/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Productivity - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/lobster-workflow --- ## Use this when - Starting any development task with LOBSTER - Planning an implementation with `/plan` - Coordinating parallel work with `/team` - Running a quality review loop - Needing to understand how LOBSTER's features work together ## Overview LOBSTER is an all-in-one AI development platform that turns your coding assistant into a coordinated development team. It combines smart context, implementation planning, multi-agent coordination, persistent memory, and cost tracking into a unified workflow. ## Workflow Options ### Option A: Quick Build (single agent) 1. Context auto-injects relevant files (automatic) 2. Use the **coder** agent to implement directly 3. Store learnings in memory when done ### Option B: Planned Build (structured) 1. Use `/plan` to create an implementation plan 2. Review steps, dependencies, and risks 3. Work through steps in order, updating status as you go 4. Store learnings in memory when done ### Option C: Team Build (parallel, multi-agent) 1. Use `/plan` to create an implementation plan (optional) 2. Use `/team` to decompose into subtasks and assign agents 3. Work through subtasks with specialized agents (coder, tester, reviewer, architect) 4. Track progress with `team_status` 5. Store learnings in memory when done ### Option D: Review Loop (iterative quality) 1. Use `review_loop` for iterative code-review-test cycles 2. Coder generates code, reviewer reviews, tester tests 3. Fix issues and repeat until PASS ## Full Workflow ### Step 1: Context (automatic) LOBSTER auto-injects relevant files, tech stack, and recent git activity into every message via ``. No action needed. For manual context search: ``` find_relevant "description of what you want to build" ``` ### Step 2: Check Memory Search for relevant past decisions and patterns: ``` memory_search "keywords related to your task" memory_retrieve category:"architecture" ``` ### Step 3: Set Budget (Optional) ``` cost_budget budget_usd:5.00 alert_threshold:0.8 ``` ### Step 4: Plan (Optional) ``` implementation_plan task:"Build a user authentication system" analyze_depth:"deep" ``` ### Step 5: Build Choose your approach: - **Solo**: Switch to coder agent and implement - **Team**: Use `team_coordinate` to assign subtasks across agents - **Review loop**: Use `review_loop` for iterative quality cycles ### Step 6: Track Progress ``` plan_status # Check plan progress team_status # Check team progress review_status # Check review loop progress ``` ### Step 7: Store Learnings ``` memory_store category:"pattern" title:"JWT auth pattern" content:"We use..." tags:["jwt", "auth"] ``` ### Step 8: Check Costs ``` cost_summary ``` ## Agent Reference | Agent | Purpose | Access | |-------|---------|--------| | coder | Full-stack implementation, bug fixes, refactors | Full | | reviewer | Code quality, security audits, analysis | Read-only | | tester | Testing, coverage, QA | Full | | architect | Design, planning, architecture | Read-only | | team-lead | Task decomposition, coordination | Full | ## Quick checklist - [ ] Let auto-context provide relevant files (or search manually) - [ ] Check memory for past patterns and decisions - [ ] Set budget if tracking costs - [ ] Choose workflow: quick build, planned build, team build, or review loop - [ ] Track progress as you work - [ ] Store new learnings in memory - [ ] Check cost summary when done --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/huskysteam) — claim your Tome and manage your conversions.