scope

Agent discipline engine — locks the goal, enforces PLAN-DO-VERIFY-FINALIZE-OUTPUT loop, detects 11 success masquerading patterns

Session closer — saves context before compact. Handoff file, memory updates, lesson extraction, reflexion

Mandatory pre-push pipeline — secrets scan (12 patterns), build/test gate, lint, parallel AI code review. Blocks push on Critical/High findings

Scan existing project across 4 dimensions: Infrastructure, Security, Quality, Harness. Returns scored gaps ordered by severity

Declare the editable zone — everything outside is frozen. Prevents scope creep during implementation

12Q quantified code review — 4-axis scoring (Security/Stability/Robustness/Operability), severity anchors, deployment verdict, factuality gate. Works as standalone prompt in any LLM

Interview-based project scaffolding — generates CLAUDE.md, ROADMAP, .gitignore, and .env.example from decisions, not templates

12 production-grade skills for AI coding agents — setup, scope, discipline, code review, security, session management. Works with Claude Code, Codex, and Cursor.

One-shot perspective reset — 1 reframing question + 3 quick checks (scope drift, side effects, better approach) in under 10 lines. Use anytime during work

Claude Code infrastructure and agent team setup — rules, hooks, memory system, routing, and agent installation in one guided flow