Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
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。
Maintain and update product knowledge base from releases, features, and project changes with optional wiki sync
インストール方法を見る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。
Check agent_mode in 00-inbox/MY-PROFILE.md frontmatter:
agent_mode: team — use parallel agents to scan multiple sources and update multiple knowledge files simultaneouslyagent_mode: solo — process updates sequentially, one knowledge file at a time/update-knowledge-base00-inbox/MY-INTEGRATIONS.md for active data sources and publishing targets00-inbox/MY-PROFILE.md for active projectsdate '+%Y-%m-%d %H:%M' using Bash05-knowledge/**/*.md to understand current stateAsk the user (or infer from context):
What triggered this knowledge base update?
a) New release shipped (I'll pull changes from release notes and tracker)
b) Feature launched or updated (I'll document the feature)
c) Architecture or technical change (I'll update technical knowledge)
d) Periodic review (I'll scan for anything that's changed since last update)
e) Custom — describe what needs updating
Launch data-gathering agents using the Task tool with run_in_background: true:
Agent: "release-scanner" (for release-triggered updates)
Scan recent releases and release notes for knowledge base updates.
1. Check vault for recent release notes:
Glob: 04-projects/*/release-notes/*.md
Read the most recent release notes for each active project
2. If GitHub is active:
gh release list --repo [CUSTOMIZE: your-org/your-repo] --limit 5 --json tagName,name,body,publishedAt
Get the latest release details
3. If Linear is active:
Use ToolSearch to load Linear tools
Check recently completed cycles and milestones for shipped features
Extract from each source:
- New features added (name, description, user impact)
- Features modified (what changed)
- Features deprecated or removed
- Technical changes (architecture, API, infrastructure)
- Bug fixes that affect documented behavior
Return: structured list of knowledge updates needed
Agent: "existing-kb-auditor"
Audit the current knowledge base for staleness and gaps.
1. Read all files in 05-knowledge/:
Glob: 05-knowledge/**/*.md
2. For each file, extract:
- Last updated date (from frontmatter or file modification)
- Topics covered
- Products/features documented
- Any [TODO] or [OUTDATED] markers
3. Cross-reference with active projects from MY-PROFILE.md:
- Are all active projects represented in the KB?
- Are there KB entries for discontinued/inactive projects?
4. Check for:
- Files not updated in >90 days (potentially stale)
- Topics mentioned in recent release notes but missing from KB
- Contradictions between KB entries and recent changes
Return: staleness report, gap analysis, and recommended updates
Agent: "tracker-feature-collector" (for feature-triggered updates)
Collect current feature/product state from project trackers.
If Linear is active:
1. Use ToolSearch to load Linear tools
2. List all projects and their current status: mcp__claude_ai_Linear_2__list_projects
3. List all initiatives: mcp__claude_ai_Linear_2__list_initiatives
4. For key initiatives, get details: mcp__claude_ai_Linear_2__get_initiative
If GitHub is active:
1. Check repo README and docs for current feature descriptions
2. Review recent PRs that touch documentation:
gh pr list --repo [CUSTOMIZE: your-org/your-repo] --state merged --search "label:docs merged:>=[30_DAYS_AGO]" --json number,title,body --limit 20
Return: current product/feature state for knowledge base comparison
Run the most relevant agent sequentially based on the update trigger.
Compare gathered data against existing knowledge base to determine:
Present the update plan to the user:
Knowledge Base Update Plan:
NEW entries to create:
1. [Topic] — [reason: new feature in v[X]]
2. [Topic] — [reason: gap identified]
UPDATES to existing entries:
1. 05-knowledge/[file].md — [what needs changing]
2. 05-knowledge/[file].md — [what needs changing]
DEPRECATION candidates:
1. 05-knowledge/[file].md — [reason: feature removed in v[X]]
STALE entries (>90 days, may need review):
1. 05-knowledge/[file].md — last updated [date]
Proceed with these updates? (yes / modify plan / skip specific items)
Wait for user approval before making changes.
For each new entry, use this template:
---
type: knowledge
domain: [product/technical/process/architecture]
project: [project-name]
topic: [topic name]
created: [YYYY-MM-DD HH:MM]
last_updated: [YYYY-MM-DD]
source: [release-notes/feature-launch/manual/periodic-review]
version: "1.0"
tags: ["#knowledge", "#[project]", "#[topic-area]"]
related:
- [path to related KB entry]
- [path to related project file]
---
# [Topic Title]
## Overview
[Clear, concise description of the topic — what it is, why it matters]
## Current State
[How this feature/system/process works as of the last update]
### Key Details
- **[Detail 1]:** [Value/description]
- **[Detail 2]:** [Value/description]
- **[Detail 3]:** [Value/description]
## History
| Date | Version | Change | Source |
|------|---------|--------|--------|
| [Date] | [Version] | [What changed] | [Release notes / PR / manual] |
## Related
- [Link to related KB entries]
- [Link to PRDs if applicable]
- [Link to project files]
## Notes
[Additional context, caveats, or open questions]
---
*Last updated: [YYYY-MM-DD] | Source: [what triggered this update]*
Save to: 05-knowledge/[domain]/[topic-slug].md
mkdir -p "05-knowledge/[domain]"
For each update:
last_updated in frontmatterversion (increment minor version)For deprecated entries:
status: deprecated to frontmatter> **DEPRECATED:** This feature was removed/replaced in [version/date]. See [replacement link] for the current approach.
Create an update log:
---
type: kb-update-log
date: [YYYY-MM-DD]
created: [YYYY-MM-DD HH:MM]
trigger: [release/feature/periodic/manual]
tags: ["#knowledge", "#update-log"]
---
# Knowledge Base Update — [YYYY-MM-DD]
## Trigger
[What caused this update: release X.Y.Z / feature launch / periodic review]
## Changes Made
### New Entries
| File | Topic | Domain | Source |
|------|-------|--------|--------|
| [path] | [topic] | [domain] | [source] |
### Updated Entries
| File | Changes | Previous Version | New Version |
|------|---------|-----------------|-------------|
| [path] | [summary of changes] | [old ver] | [new ver] |
### Deprecated Entries
| File | Reason | Replacement |
|------|--------|-------------|
| [path] | [reason] | [link to replacement or N/A] |
## Knowledge Base Health
- **Total entries:** [N]
- **Updated this session:** [N]
- **Created this session:** [N]
- **Deprecated this session:** [N]
- **Stale entries remaining (>90 days):** [N]
- **Coverage:** [assessment of how well the KB covers active projects]
---
*Generated by COG Knowledge Base Updater*
Save to: 05-knowledge/_logs/kb-update-YYYY-MM-DD.md
mkdir -p "05-knowledge/_logs"
If Confluence or Notion is active, offer to sync updated entries:
Knowledge base updated locally. Would you like to sync to your wiki?
Active wiki platforms:
- [Confluence / Notion — whichever is active]
Options:
a) Sync all changed entries to [platform]
b) Sync specific entries only
c) Skip wiki sync (vault-only)
NEVER auto-publish. Wait for explicit approval.
Use the /publish-to-confluence skill pattern for each entry being synced.
1. Use ToolSearch to load Notion tools
2. Search for existing pages matching the KB entry: mcp__claude_ai_Notion__notion-search
3. If exists: update with mcp__claude_ai_Notion__notion-update-page
4. If new: create with mcp__claude_ai_Notion__notion-create-pages
Recommended 05-knowledge/ structure:
05-knowledge/
_logs/ # Update logs
kb-update-YYYY-MM-DD.md
product/ # Product features, capabilities, roadmap
[feature-name].md
technical/ # Architecture, APIs, infrastructure
[system-name].md
process/ # Team processes, workflows, conventions
[process-name].md
domain/ # Domain knowledge, industry context
[topic-name].md
integrations/ # Integration docs, API references
[integration-name].md
| Scenario | Behavior |
|---|---|
| No trackers active | Work from vault data only (release notes, PRDs, project files) |
| No existing KB entries | Create the initial knowledge base structure and first entries |
| Wiki sync fails | All changes are already saved locally; inform user to sync manually |
| Very large KB (>50 files) | Process in batches, prioritize most recently changed entries |
| No recent changes found | Report that KB is up to date; suggest periodic review topics |
| Conflicting information | Flag conflicts for user resolution rather than auto-resolving |
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
Deep strategic research engine — decomposes questions into parallel research threads, spawns multiple agents, and synthesizes into actionable strategic analysis
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。
Quick capture of raw thoughts with intelligent domain classification and competitive intelligence extraction
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。
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.
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。
Deep-dive 7-day analysis across all data sources for weekly reviews, board prep, and strategic planning
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。
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
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。
Create user stories with duplicate checking across any project tracker (Linear, GitHub Issues, Jira)
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。