From open-brain
Weekly synthesis of your brain thoughts, workflow insights, and goals. Surfaces gaps, open loops, and recommendations.
npx claudepluginhub flippyhead/radar --plugin open-brainThis skill uses the workspace's default tool permissions.
A weekly synthesis that cross-references your brain thoughts, workflow insights, and goals to surface what you'd miss looking at any one source alone.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Analyzes BMad project state from catalog CSV, configs, artifacts, and query to recommend next skills or answer questions. Useful for help requests, 'what next', or starting BMad.
A weekly synthesis that cross-references your brain thoughts, workflow insights, and goals to surface what you'd miss looking at any one source alone.
Collect from the brain using MCP tools. Each source is optional — work with whatever is available.
Recent thoughts:
Call mcp__ai-brain__browse_recent to get thoughts from the past 7 days.
Workflow insights:
Call mcp__ai-brain__get_insights with status: "new" and then status: "noted" to get unresolved workflow insights. If the mcp__ai-brain__get_insights tool is unavailable (radar plugin not installed), note this and skip insight-dependent sections.
Goals and priorities:
Call mcp__ai-brain__get_lists with pinned: true to get the user's stated goals and priorities.
Open items:
Call mcp__ai-brain__get_open_items to get unfinished tracked items across all lists.
If the brain is empty or unreachable, tell the user: "Your brain doesn't have enough data for a meaningful review yet. Try capturing some thoughts first, or run /brain-init to bootstrap from your connected tools."
Generate a report with these 5 sections. Each section should be concise — the entire review should be scannable in 2 minutes.
This Week in 30 Seconds
2-3 sentence headline summary. What was the dominant theme? What stands out?
Attention vs. Intention
Compare workflow insights (what you actually did) against pinned goals (what you intended to do).
Flag:
If no workflow insights are available, display instead:
"Install the
radarplugin (/plugin install radar@flippyhead/radar) for time allocation analysis."
Knowledge Captured
Review the themes from saved thoughts this week.
Highlight:
Open Loops
Aggregate unfinished threads from all sources:
get_open_items)Next Week
2-3 specific, actionable recommendations based on the above. Be forward-looking, not retrospective. Reference specific projects, people, or decisions when possible.
After presenting the review, ask: "Want me to save a summary of this review to your brain? This helps track trends across weeks."
If yes, save a condensed version via mcp__ai-brain__capture_thought with format:
"Weekly review (week of [date]): [2-3 sentence summary of key themes, attention vs. intention highlights, and top recommendation]."