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Claudops AI Development Pipeline

7 stages from feature discovery to deployment — 17 agents, 26 skills, and 3 cross-AI validation gates.

The 7-Stage Pipeline

Each stage maps to specific skills, agents, and validation gates — turning a one-line idea into reviewed, tested, production-ready code.

01

Ideation

Brainstorm and refine feature concepts with collaborative AI sessions, exploring trade-offs before any code is written.

  • /brainstorm
  • /product
  • deep-research
02

Discovery

Deep-dive into requirements through structured feature discovery interviews, codebase exploration, and adversarial validation.

  • /nf
  • design-exploration
  • /grill-me
  • Cross-AI Consensus
03

Prototyping

Create interactive HTML playgrounds for rapid design approval — a visual gate before committing to full implementation.

  • /vp
04

Planning

Generate implementation-ready technical decompositions with acceptance criteria, dependency mapping, and risk assessment.

  • /ct
  • task-splitter
  • plan-reviewer
  • Cross-AI Consensus
05

Implementation

Execute the plan with parallel developer agents, isolated worktrees, and continuous quality gates for each acceptance criterion.

  • /si
  • /si-quick
  • /parallelization
  • automated-quality-gate
  • /ph
  • /dbg
06

Code Review

Multi-layer pre-merge review: spec compliance, architecture validation, 5 parallel code reviewers, and cross-AI final check.

  • /sr
  • spec-compliance
  • arch-reviewer
  • 5x parallel reviewers
  • Cross-AI Final Check
07

Post-Merge

Automated documentation updates, changelog generation, and CI pipeline fixes with full traceability back to the original task.

  • /update-docs
  • /fci