search-planning
CommunityDesign a multi-step research plan that stays traceable and on-budget
Education & Research#web-search#comparative-analysis#research-planning#tool-mapping#query-decomposition#evidence-archiving
AuthorAoManoh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill prevents research from becoming aimless by turning multi-step investigation into a structured, executable search plan with clear boundaries and traceable outputs.
Core Features & Use Cases
- Multi-step research planning (6 phases): distill intent, rate complexity, decompose sub-queries, draft search terms, map tools, and set execution order.
- Boundary guardrails: each sub-query includes a falsifiable boundary and anti-pattern checks to reduce overlap and runaway scope.
- Evidence archiving: plans for medium-to-large research are archived under docs/references/ with the required phase detail.
Quick Start
Ask your AI agent to research and compare topic A vs topic B systematically, and ensure it first generates a 6-phase search plan and archives the result under docs/references/.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: search-planning Download link: https://github.com/AoManoh/project_templates/archive/main.zip#search-planning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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