Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
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Produce and continuously maintain ONE living review document for a multi-item session — a cockpit header (Progress checklist, Working folder, Context) plus per-item review cards that you approve or request changes on directly in the doc or side panel. Use whenever a session has multiple deliverables you need to review/approve (meeting-processing + planning, multi-ticket work, briefs with several drafts, any "do X, then plan/draft Y and Z"). The doc is the interaction surface: you edit it (or reply in chat) to approve/change; the agent keeps it live as work progresses.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
A single, living review document that doubles as the control surface for a session. Instead of scattering a meeting note here, a ticket there, two drafts in chat, everything lands in one file you can open in the Obsidian side panel (or Claude side panel) and drive: see progress at a glance, review each item in place, approve or request changes inline, and watch the doc update as the agent works. Mirrors a "co-work" cockpit (Progress / Working folder / Context).
Pairs with closed-loop (verification), harvest (learnings), and the V-model checkpoints. This skill governs how the deliverable is presented and driven, not the verification pipeline.
One doc per session. It opens with a cockpit, then one review card per item. Every artifact the session produces is linked from the Working folder table (fan-out to sub-files mid-run is fine; the cockpit is the single front door). Never hand the user "see files A, B, C" — hand them the cockpit.
Copy references/session-review-template.md. Save the working copy in the relevant project folder as YYYY-MM-DD-<slug>-review.md (or -plan.md).
Cockpit (top):
[N. Title](#n-title) using GitHub-slug rules (lowercase, spaces→-, drop punctuation/emoji). Keep item headings free of + # ← → ( ) so slugs stay clean single-hyphen and the links resolve in Obsidian + the Claude side panel.~/vault/... path or link (meeting note, this doc, evidence dir, external issues/PRs, posted messages).Review items (below): one card per item:
approve / your requested changes).Footer: "How to drive this doc" (approve/change mechanics + status vocabulary), so the doc is self-explaining.
Status vocabulary: ⏳ pending · 🔄 in progress · 📝 needs review · ✏️ changes requested · ✅ done · ⛔ blocked
updated: frontmatter + status line.Edits over full rewrites so your inline edits/approvals are never clobbered. Before editing, re-read the file — you may have typed approvals or change requests into 🗒 Your call or ticked boxes.The doc is the shared surface; you drive it two ways, both valid:
Distinguish draft items (agent proposes, waits — e.g. a Slack message you own sending) from auto items (agent may execute directly — e.g. filing a GitHub issue you explicitly asked for). Draft items stay 📝 until approved; auto items go straight to ✅ with the artifact linked. When unsure whether an item is draft or auto, leave it 📝.
Read-only for the doc itself, but the items it tracks often mutate external state — obey each item's own post-condition (fetch back the issue, confirm the Slack message landed, etc.) and record the verified link in the Decision log. Never mark ✅ from a mutation call alone.
The markdown doc is primary (you edit it to approve). If you want a richer at-a-glance view, additionally render an HTML Artifact of the cockpit (Progress + Working folder + Context + item statuses) — but the markdown stays the source of truth and the editable surface.
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Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
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Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction
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Run one task through the V-model verification loop: CP-2 plan → CP-3 build → CP-3v component verify → CP-4 integration verify (full lane) → CP-5 acceptance. The worker never grades its own homework; evidence rows trace back to AC-n. Opt-in: invoke with /closed-loop or by asking for the closed loop, proper verification, or an evidence trail. Ordinary work does not run this.
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Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning
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Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing
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Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)
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