Efficiently package context for AI-assisted analysis. Use when preparing to work with Claude on analysis, organizing context documents, or structuring prompts for complex analytical tasks.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Before starting an AI-assisted analysis session when the task requires more than a single prompt — complex investigations, multi-step analyses, or work that depends on project-specific knowledge. A well-packaged context bundle reduces back-and-forth and produces better first responses.
references/context_layering_guide.md to decide which layers are needed: task definition, business context, data schema, prior findings, constraints, and output format.scripts/context_bundler.py to merge multiple context files into a single structured bundle; it deduplicates and applies the layering order.scripts/token_counter.py on the bundle to estimate token count; trim lower-priority layers if over budget (see references/context_layering_guide.md for trimming priority).references/context_quality_rubric.md; a good bundle scores ≥ 7/10 on completeness, clarity, and relevance.assets/context_package_template.md so it can be reused or updated for follow-up sessions.context_package_template.md)まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.
日本語の概要は準備中です。原文の説明を表示しています。
Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.
日本語の概要は準備中です。原文の説明を表示しています。
Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.
日本語の概要は準備中です。原文の説明を表示しています。
Structure analysis approach before starting work. Use when receiving new analysis requests, breaking down complex questions into steps, or planning iterative analysis workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.
日本語の概要は準備中です。原文の説明を表示しています。
Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.
日本語の概要は準備中です。原文の説明を表示しています。