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Create structured analyses with numbered findings, execution plans, and task materialization
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Terse Conventional Commits generator. Subject ≤50 chars (hard cap 72), body only when 'why' isn't obvious, no filler. Use when user says 'write a commit', 'generate commit', 'commit message', or invokes /rulebook-terse-commit. Independent of the base rulebook-terse mode.
Ultra-compressed code review comments. One line per finding: location, problem, fix. Use when user says 'review this PR', 'code review', 'review the diff', or invokes /rulebook-terse-review. Independent of the base rulebook-terse mode.
Output-verbosity compression. Cuts response tokens ~40-70% without losing technical accuracy. Four intensity levels (off/brief/terse/ultra) aligned with Rulebook's agent-tier system. Use when user says 'terse mode', 'be terse', 'less tokens please', or invokes /rulebook-terse. Auto-activates via SessionStart hook with tier-aware default.
Author a rulebook task spec interactively — research, draft, ask the user clarifying questions, confirm, then create the tasks in rulebook ready for /rulebook-driver. Use when the user wants to plan/spec a feature before implementing.
Save session state to .rulebook/handoff/_pending.md for cross-session continuity
| name | analysis |
| description | Create structured analyses with numbered findings, execution plans, and task materialization |
| model | opus |
| context | fork |
| agent | researcher |
Create a structured analysis for: $ARGUMENTS
Steps:
rulebook_analysis_create with the topic to scaffold docs/analysis/<slug>/rulebook_knowledge_list and rulebook_learn_list for prior contextfindings.md with numbered findings (F-001..F-NNN), each with: title, evidence (file:line), impact, confidenceexecution-plan.mdREADME.mdrulebook_knowledge_add for patterns/anti-patternsrulebook_knowledge_add / rulebook_learn_capture tagged analysis:<slug>rulebook_task_create