Results for “cross-functional-planning”

Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.

Plan backend domains, services, jobs, integrations, and failure handling for a product or major feature. Use when UX and product scope are defined and the team needs a production-minded backend design without defaulting to premature microservices.

Redesign a blocked topic sequence into an interleaved plan with mixed practice across related topics. Use when planning units, homework schedules, or revision programmes.

Composite skill — safely refactor a module end-to-end with sequencing, parallel implementation, post-refactor cleanup, and rationale capture. Chains refactor-plan (phased plan + rollback) → three-man-team (architect/builder/reviewer in parallel) → fix-the-suite post-refactor → adr-write → docs-sync. Use for non-trivial refactors that need both careful sequencing and durable record.

Provides a structured reasoning protocol for diagnosing complex relationships, organizations, institutions, public disputes, or long-term evolution using the CrossFrame framework, with explicit invocation required.

Plan which model tier handles which work BEFORE execution begins — a high-cognition model deeply understands the problem, lays the foundations, then emits a modular plan assigning each module the cheapest tier that can safely execute it, with escalation tripwires and one-way-door protection. Advisory only: it announces "next module → tier X / model Y" at each boundary and the HUMAN switches models — harnesses like Cursor cannot switch mid-run. Load when the user asks which model to use, wants a model plan, model tiers, model-tier routing, assign models to tasks or modules, says "cheap model got stuck", "which model for this task", "cost-efficient model choice", or when implementation-plan / problem-to-plan need a model: tier column. NOT dynamic-routing (plan-path selection after failure) — this skill assigns cognition tiers to work.

Creates actionable work plans through interactive interviews, direct planning, consensus loops, or plan review, with quality gates and optional multi-agent deliberation.

Foundational theory for process-oriented concurrency through synchronous message-passing, applicable to multi-agent coordination and parallel decomposition

当需要将模糊的长期愿景转化为可执行的日常行动，以提升专注力和生活掌控感时

Decompose multi-step work into a revisable subgoal plan with stable step IDs, checkpointing, and plan-ahead execution. Load when a task needs explicit planning before action, subgoal decomposition, plan checkpointing, or ReCAP-style plan-ahead execution. Also triggers on "structured plan", "plan with steps", "subgoal graph", "revise the plan", "checkpoint plan", or multi-step tasks where naive one-shot execution would be fragile. Skips trivial single-step tasks. Pairs with dynamic-routing on failure. Distinct from process-decomposer (registry/triage) and problem-to-plan (doc deliverables).

Reverse-engineers a federal RFP we received — given the SOW/PWS and evaluation criteria already in the Theseus KG, reconstructs the CO's hidden decision tree (upstream `sow-pws-builder` 6 scope blocks + 3 intake answers), surfaces hot buttons, ghost language, discriminator hooks, missing-section signals, and CPFF-form / Section-5 / QASP / Key-Personnel traps. USE WHEN the user asks "what scope decisions did the CO already make?", "reverse engineer this RFP", "what hot buttons are hiding in this PWS?", "where are the discriminator hooks?", "did they pick CPFF completion or term form?", "anything suspiciously missing?", or any variant of decoding CO intent. Pulls `requirement`, `deliverable`, `proposal_instruction`, `evaluation_factor`, `clause`, `performance_standard` from the active workspace KG and emits a JSON envelope feeding `proposal-generator`. DO NOT USE FOR proposal prose (`proposal-generator`), pricing (`price-to-win`), clause audit (`compliance-auditor`), or sub SOW (`subcontractor-sow-builder`).

Breaks complex problems into iterative reasoning steps with revision, branching, and dynamic scope adjustment for multi-stage analysis and planning.

通用规划抽象接口。当定义规划过程、策略制定、目标分解时调用此技能。

Guides structured problem-solving through iterative reasoning steps, with support for revising conclusions, branching into alternative approaches, and dynamically adjusting scope as understanding evolves.

Create structured plans for multi-step tasks -- software features, research workflows, events, study plans, or any goal that benefits from breakdown. Also deepens existing plans with interactive sub-agent review. Use when the user says 'plan this', 'create a plan', 'how should we build', 'break this down', or when a brainstorm doc is ready for planning. Use 'deepen the plan' or 'deepening pass' for the deepening flow. For exploratory requests, prefer ce-brainstorm first.

当需要将分散的注意力系统性地引导至个人成长方向，并为好奇心提供明确指引时

Persistent cross-session memory management. Enables agents to remember user preferences, project conventions, and past decisions across different sessions using a structured MEMORY.md index and topic files.

Strategic planning with optional interview workflow

Strategic planning with optional interview workflow

Crie e gerencie arquivos de planejamento markdown persistentes para execução estruturada de tarefas. Use quando o usuário pedir para "criar um plano", "acompanhar progresso", "iniciar um projeto de pesquisa", ou quando uma tarefa exigir mais de 5 chamadas de ferramenta e precisar de rastreamento de fases estruturado para manter o foco e evitar desvio de objetivo.

Models cascading what-if scenarios across all business functions to prepare for compound adversity, using a structured six-step framework that maps variables, domain impacts, cascade effects, severity levels, early warning signals, and hedging strategies.

Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring for complex product management tasks.

Create and manage budgets with variance analysis and departmental allocation. Use when the user requests budget planning or provides relevant inputs for this workflow.

Creates and maintains persistent markdown planning files that survive session resets by hooking into Claude Code's lifecycle.

Generate one high-value follow-up workflow proposal when MoonMind execution quality issues are detected in a run.

Strategic planning with optional interview workflow

在启动高风险项目或重要决策前，需要预先识别潜在失败点以增强心理韧性和方案鲁棒性时

Use this when the system needs queue-backed processing design, message handling rules, delivery semantics, dead-letter strategy, or throughput planning. Trigger on requests about queues, brokers, message processing, and consumer coordination.

Designs system architecture and translates requirements into actionable plans, creating PRDs and tasks via Task Copilot.

Plan a unit using backwards design from desired outcomes through assessment evidence to learning activities. Use when starting a new unit or redesigning an existing one from standards.

Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data. Use when the user requests financial modeling or provides relevant inputs for this workflow.

Alias for $plan --consensus

当需要系统性地规划个人生活、职业发展或特定项目，以摆脱外部干扰、聚焦核心目标时

Blueprint — Construction Plan Generator

Alias for $plan --consensus