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Multi-agent delegation rules, three-phase workflow (Plan/Build/Review), model selection, collaboration gates, and Ralph Loop integration.
Project templates with multi-agent team configurations for AI code copilots. Includes ready-to-use setups for ML/AI (RAG, LangChain, n8n), enterprise Java, and web apps — each with defined agent roles, delegation patterns, and session management best practices.
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Multi-agent delegation rules, three-phase workflow (Plan/Build/Review), model selection, collaboration gates, and Ralph Loop integration.
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Autonomous build driver after SDD spec approval: phase-scoped headless build sessions, driver-owned commits, cross-provider review gates, milestone pauses, and fail-closed escalation — under explicit opt-in autonomy profiles.
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When and how to ask clarifying questions before implementing. Data model review gate and ambiguity resolution rules.
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Quality gates, prohibited patterns, verification discipline, and self-audit rules for all code generation and review sessions.
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Cross-copilot portable conventions: target alignment, complexity control, minimal changes, git discipline, and project structure.
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Copyright header rules for generated source files. Applies the company name from providers.toml to new files.
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Derive a unique, domain-fit design direction and enforce design-token + anti-slop discipline. Read/author DESIGN.md before building any UI; override framework defaults so output is bespoke by construction, not generic.
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Environment variable patterns, config file validation, and setup verification for new project scaffolding.
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Infrastructure artifact verification: Docker builds, CI workflows, and launcher flags must be executed, not just syntax-checked.
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Test integration points early. Verify cross-service contracts, API boundaries, and data flow before declaring done.
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MemKernel persistent memory protocol. Self-guarding: activates only when the memkernel MCP server is configured.
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Optional guidance for sessions using Claude Opus 4.7: adaptive thinking, xhigh effort, prompt caching, /btw side questions.
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Origin-confirmation circuit breaker: machine-checkable origin frontmatter, alignment-check protocol, three gates (plan-approval, build-entry, phase-complete), and interactive escalation on deviation.
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Phase transition rules, post-phase verification steps, peer review validation, and commit-gate approval flow.
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Cross-provider peer review protocol: session flags, review flow, collaboration artifacts, fail-closed enforcement, and CI validation.
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Single-agent autonomous iteration loop: PRD-driven, self-verifying, with configurable iteration limits and completion criteria.
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Agent-driven peer review loop: structured findings, dispositions, circuit breakers, commit strategies, sandbox isolation, and plan-phase advisory mode.
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Non-negotiable safety constraints: destructive action guards, blocked operations, secrets policy, password storage, input validation, and dependency review.
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SDD specification protocol: risk-based specmode classification, required sections per mode, plan approval gate, and artifact directory conventions.
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Stack version pinning and dependency compatibility guards. Prevents silent version drift across project boundaries.
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Build team lead efficiency rules: limit sub-agents, polling discipline, no redundant re-work, parallel task launching.
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Token economy rules: diff-over-rewrite, context compression, avoid verbose re-explanations, minimize round-trips.
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Closed visual-review loop for generated UI: render the running app, screenshot per breakpoint, run an axe-core a11y gate, critique against the DESIGN.md rubric, triage findings, and iterate to a quality bar with a hard cap. Drives the shippable harness/ runner.
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Wiki-first query convention: consult knowledge/wiki/index.md and the linked pages BEFORE re-reading raw sources for a project topic. The wiki is the canonical project memory layer.