planning
claudePlanning & Architecture: Create specs, architecture designs, roadmaps, and ADRs
6 skills · 18 commands · 17 agents
Refinement & Adjustment: Modify, refactor, enhance during active development. Consolidates multiagent-iterate, multiagent-supervisor, multiagent-refactoring, multiagent-enhancement
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin 04-iterate in vanman2024/dev-lifecycle-marketplace. Commands read from the repo's manifest — 1 month ago.
Iteration TrackingTracks iteration progress and state management. Use when starting, checkpointing, or ending iteration cycles, or when user mentions iteration tracking, progress monitoring, or iteration state.
Refactoring PatternsCommon refactoring patterns and code improvement techniques. Use when refactoring code, improving structure, or when user mentions refactoring, code smells, or code quality improvements.
Task LayeringBreaks down specs into complexity-stratified tasks. Use when organizing tasks, assigning work to agents, or when user mentions task layering, task stratification, or parallel task execution.
Worktree ManagementGit worktree helpers for parallel development. Use when working with git worktrees, managing parallel branches, or when user mentions worktrees, parallel development, or branch isolation.
/04-iterate:adjustAdjust implementation based on feedback or requirements change
/04-iterate:endEnd iteration cycle and consolidate results
/04-iterate:enhanceEnhance feature with improvements and optimizations
/04-iterate:iterateIteration workflow orchestrator - manages refinement and adjustment cycles
/04-iterate:midCreate mid-iteration checkpoint and progress snapshot
/04-iterate:refactorRefactor code for better maintainability and structure
/04-iterate:startStart iteration cycle and initialize tracking
/04-iterate:syncSynchronize spec files and cross-references for consistency
/04-iterate:tasksLayer tasks by complexity and assign to agents for parallel work
code-refactorerRefactors code for better maintainability and structure without changing functionality
feature-enhancerEnhances existing features with improvements and optimizations
implementation-adjusterAdjusts implementation based on feedback or requirements change
task-layeringUse this agent to transform sequential tasks.md into organized layered-tasks.md with intelligent agent assignments and functional grouping. Invoked by /iterate:tasks command. Examples:
Planning & Architecture: Create specs, architecture designs, roadmaps, and ADRs
6 skills · 18 commands · 17 agents
Deployment Orchestration: Automated deployment with platform detection (FastMCP Cloud, DigitalOcean, Vercel, Railway, Netlify)
9 skills · 12 commands · 9 agents · 1 MCP server
Foundation & Setup: Initialize projects, detect stack, setup environment, verify configuration
9 skills · 14 commands · 4 agents
Semantic Versioning Automation: Automated version management with changelog generation and CI/CD integration
4 skills · 10 commands · 9 agents
Code Generation & Implementation - Build features, scaffold code, implement functionality, create MCP servers. Consolidates frontend, backend, implementation, AI infrastructure, and MCP building.
4 skills · 7 commands · 4 agents · 3 MCP servers
Automated Testing: Newman/Postman API testing and Playwright E2E browser testing
6 skills · 4 commands · 5 agents
Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
SPARC methodology — Specification, Pseudocode, Architecture, Refinement, Completion phases with quality gates
3 skills · 1 command · 1 agent
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until completion.
3 commands · hooks
Test-driven development methodology with red-green-refactor cycles and code review
4 commands · 2 agents
Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).
6 skills · 8 commands · 4 agents · hooks
Agent coordination and meta-programming - multi-agent orchestration, workflow automation, and safe refactor governance. Works best with other voltagent plugins installed.
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