メニュー
claude-mem plugin — automatic cross-session memory compression and injection via SQLite + semantic search. Captures tool usage, compresses observations, and injects relevant context at session start.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Higgsfield image prompt director covering Banana Pro, Soul Cinema, and GPT-2. Three asset types in strict order — single-image character outfit on white seamless studio (Banana Pro or Soul Cinema two-step), 6-panel multi-angle character sheet off that base, and scene plates with/without characters. Plus GPT-2 for detail face/chest-up portraits. Reads reference images for hair, makeup, wardrobe, jewelry, identity. Outputs photorealistic prompts with locked hyperreal stack — skin pores, subsurface scattering, strand-by-strand hair, fabric weave, Kodak Vision3 film. Use for any character outfit reference, character sheet, model sheet, ref sheet, multi-angle sheet, scene plate, environment plate, face detail, or photorealistic still — even without saying 'Banana Pro,' 'Nano Banana,' or 'Soul Cinema.'
Universal cinema worldbuilding director for Seedance video prompts. Five cinema modes (Narrative, Studio, Action, Performance, Atmospheric) with locked ARRI + Panavision/Cooke camera specs and diegetic-only audio rules. Reads reference images for wardrobe, hair, makeup, identity, and environment. Outputs production-ready Seedance prompts. Use whenever CC asks for a Seedance video prompt, mentions Seedance, asks for cinematic scene breakdowns, uploads reference images for a scene, describes a scene for video generation, or asks for shot prompts for music videos, action sequences, performance scenes, narrative shorts, fashion films, or atmospheric environment plates — even if 'cinematic' or a mode name isn't said.
Complete automated video production system for CC's content pipeline. Use whenever CC provides raw video footage and says "make this a post", "edit this", or asks for a cinematic output. Replaces a human video editor entirely. Covers hook engineering, pacing, caption styling, color grading, audio mastering, sound design, motion graphics, and multi-platform export.
Read-only social + web listening across public platforms (YouTube, Twitter/X, LinkedIn, Reddit, the open web, GitHub, Exa search) for competitive intelligence, content research, transcript mining, and checking public post results. Wraps Agent Reach via scripts/social_reach_tool.py. Does NOT read Instagram, TikTok, or Facebook.
Build high-converting, education-first advertorial / "infomercial" landing pages for ecommerce products — long-form scrollable HTML that warms cold paid traffic and clicks through to the product page. Covers angle selection, direct-response copy doctrine, AI image generation with a product reference, a premium anti-slop design system, and a portable build/QA convention. Use for advertorials, pre-sell pages, native/listicle ad landers, VSL pages, or any "read-an-article-then-buy" funnel page.
Automated video editing pipeline for CC's personal brand content. Use whenever CC drops raw footage and needs it edited, captioned, graded, and sent for review. The primary tool is video_editor.py which handles the full 8-step pipeline.
| name | memory-compression |
| description | claude-mem plugin — automatic cross-session memory compression and injection via SQLite + semantic search. Captures tool usage, compresses observations, and injects relevant context at session start. |
| tags | ["skill","memory","plugin","claude-mem"] |
| triggers | ["compress memory","search past sessions","what did we do last time","memory is getting bloated","retrieve campaign history"] |
claude-mem is a Claude Code plugin (v11.0.0) installed at ~/.claude/plugins/marketplaces/thedotmack/. It provides automatic cross-session memory that is distinct from our manual brain/memory/ file system.
~/.claude-mem/claude-mem.db (auto-created on first use)~/.claude-mem/chroma/ (semantic similarity)http://localhost:37777 (available when worker is running)smart-install.js)| Layer | System | What It Stores | Managed By |
|---|---|---|---|
| brain/ + memory/ | Bravo's file-based memory | Business context, tasks, decisions, patterns | Bravo (manual writes) |
@modelcontextprotocol/server-memory | MCP knowledge graph | Named entities and relations | Bravo via MCP tools |
| claude-mem SQLite | Plugin automated memory | Tool usage observations, session summaries | claude-mem hooks (automatic) |
These three layers are complementary, not conflicting. claude-mem captures low-level tool activity automatically — it does not replace the structured business memory in brain/ and memory/.
5 lifecycle hooks run without any action from Bravo or CC:
| Hook | Trigger | What It Does |
|---|---|---|
Setup | Session with "startup/clear/compact" | Runs smart-install.js — installs Bun/uv if missing, starts worker |
SessionStart | Session with "startup/clear/compact" | Starts worker service, injects relevant past context |
UserPromptSubmit | Every prompt | Initializes session-level observation tracking |
PostToolUse | Every tool call | Records observation (file edits, bash commands, etc.) |
Stop | End of response | Compresses session into summary observation |
SessionEnd | Session end | Marks session complete in DB |
Privacy: Wrap sensitive content in <private>...</private> tags to prevent storage.
| Skill | Trigger | Purpose |
|---|---|---|
/mem-search | Use when asking "did we already solve this?" | 3-layer search: index → timeline → fetch |
/make-plan | Plan a multi-phase feature | Orchestrator + subagent phased planning |
/do | Execute a plan from /make-plan | Subagent-driven plan execution |
/smart-explore | Explore codebase structure | Guided codebase discovery |
/timeline-report | Generate activity timeline | Chronological work history |
Always use the 3-layer approach — never fetch full observations without filtering first (10x token savings):
Step 1 — search(query="...", limit=20, project="Business-Empire-Agent")
Step 2 — timeline(anchor=<id>, depth_before=3, depth_after=3)
Step 3 — get_observations(ids=[...]) # Only for IDs that look relevant
The worker (Express on port 37777) handles AI processing asynchronously. It requires Bun.
# Start worker (required for search and viewer UI)
npx claude-mem start
# Check status
npx claude-mem status
# Stop
npx claude-mem stop
# View memories in browser
open http://localhost:37777
The worker auto-starts when a session begins with "startup", "clear", or "compact" in the first prompt. For other sessions, tool hooks still record observations — but search requires the worker to be running.
claude-mem reads, Bravo writes. claude-mem passively records what Bravo does. Bravo continues writing to brain/STATE.md, memory/ACTIVE_TASKS.md, etc. as per Rule 0.
No conflicts with MCP memory server. @modelcontextprotocol/server-memory stores named entities (knowledge graph). claude-mem stores time-series observations (what happened, when, what files). Different data models, different use cases.
When to use claude-mem search vs. reading memory files:
memory/SESSION_LOG.md → current session's structured decisions and task status/mem-search → tool-level observations from any past session (what files were touched, what commands ran)Settings auto-created at ~/.claude-mem/settings.json on first run. No manual configuration required for basic operation.
npx claude-mem@11.0.0 install --ide claude-code~/.claude/plugins/marketplaces/thedotmack/~/.claude/settings.json under enabledPluginsMaven compresses long campaign histories into summarized retros (brain/retros/) once a campaign has run >30 days and stabilized. Active campaign data (last 14 days) stays full-fidelity in data/pulse/ and memory/SESSION_LOG.md. Compression preserves: thesis, audience, creative angle, spend, results, and the one-line lesson. It discards: per-day metric noise, transient creative variants, exploration dead-ends.