Converge top-down framing with bottom-up inventory to generate gap-checked plans.
npx skills add https://github.com/aufrank/agent-skills --skill pincer-planning
Please help me install this Agent Skill. Skill: pincer-planning Source: https://github.com/aufrank/agent-skills/tree/main/skills/pincer-planning Command: npx skills add https://github.com/aufrank/agent-skills --skill pincer-planning
This Skill addresses ambiguity and complexity in planning by creating a robust plan through a bidirectional approach, ensuring all angles are considered.
Use the pincer-planning skill to help break down the problem of launching a new product.
High-intent search queries and answers about installing and using this skill.
Project planning for ambiguous tasks requires a bidirectional approach that converges top-down strategic framing with bottom-up resource inventory. This method explicitly surfaces gaps and unknowns to generate a gap-checked, actionable plan.
Bidirectional planning is a problem decomposition technique that converges top-down strategic framing with bottom-up tactical inventory. It works by iteratively refining the plan through flipping perspectives and addressing contradictions to ensure all angles are considered.
Yes, strategic planning and task breakdown require structured input for goals, constraints, assets, and risks. Providing this structured input is necessary to facilitate the convergent planning process and generate a fully gap-checked plan.
Yes, you can use convergent planning to identify gaps in a marketing campaign strategy. It explicitly surfaces unknowns and areas needing clarification by combining high-level goal definition with an inventory of available resources and risks.
The best way to refine a project plan with contradictory objectives is to iteratively flip perspectives and address contradictions directly. This refinement process improves the plan by ensuring all angles are considered through a bidirectional approach.
You should avoid using a bidirectional planning approach for simple tasks that lack ambiguity or design-heavy requirements. This method is specifically designed to solve complexity and ambiguity, making it unnecessary for straightforward projects with clearly defined objectives.
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