بنقرة واحدة
analysis
Create structured analyses with numbered findings, execution plans, and task materialization
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Create structured analyses with numbered findings, execution plans, and task materialization
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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