MCP App StoreMCP App StoreObelisk acts as a persistent memory layer for AI agents, indexing past sessions, tool calls, and workflows. It allows agents to recall how a specific bug was fixed, retrieve prior design decisions, and synthesize conclusions from historical context.
Activate this skill when a user asks "how did I fix X" or "what did we do last time". Use it proactively when modifying files with complex edit histories or when needing to synthesize a weekly/monthly recap of progress.
overview(), search(), and memories() before escalating to raw SQL.Primarily targets agents utilizing Claude Code and Codex transcript formats, but compatible with any agent that can execute Node.js scripts.
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Caveman Compress
Compress natural-language memory files into a compact 'caveman' format to save LLM tokens while preserving code, links, and structure.
Cost Tracker
Monitor agent session costs, set budget alerts, and get actionable token-spend optimizations to keep multi-session workflows within budget.
Codex Collab
Bridge Claude and Codex to run tasks, perform code reviews, and run background jobs for research or implementation workflows.
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Run a quantitative quality audit on agents, skills, and commands to check production readiness and get prioritized recommendations.
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End-to-end research-to-content pipeline: ingest sources into Google NotebookLM, run deep cited research, generate downloadable artifacts, and produce polished c
Memory Search
Search past coding sessions and observations using natural-language queries to retrieve decisions, notes, and context.
draw.io Diagram Skill
Create, edit, lint, and export draw.io diagrams; includes export helpers, SVG linting, and repository QA for clean architecture and icon-based diagrams.