# Think > Deep structured thinking with parallel expert analysis before implementation (INTERNAL) Use when this capability is needed. - Skill: `tomevault-io/think` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/think` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/think/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/think --- # @think (INTERNAL) Used by @idea, @design, @feature. Three stages: breakdown → parallel expert analysis → summary. ## Stage 1: Task Breakdown Identify aspects to think through. Choose main expert. Output: Understanding + Aspects table (5-10 rows). ## Stage 2: Parallel Expert Analysis Launch expert agents (max 4 concurrent) — one per aspect: ``` Task(subagent_type="expert"): "Aspect: [name]. Task context: [brief]. Study project and propose options." ``` Each expert: study project → apply expert principles → propose 2-4 options → make decision. ## Stage 3: Summary When experts return, create unified document. Save to `docs/plans/YYYY-MM-DD-[topic]-design.md`. Ask: "Which aspects to discuss? Or ready to implement?" ## Single-Agent Mode (<3 aspects) Skip parallel agents: Study → Analyze (named experts) → Propose options → Recommend. ## Principles - Study first — read codebase before analyzing - Named expertise — reference real expert principles - Specificity — solutions for THIS project - Honesty — every option has cons - Clear recommendation — don't leave user hanging --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/fall-out-bug) — claim your Tome and manage your conversions.