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Found 127 Skills
Technical documentation and knowledge management expert. Use when creating comprehensive documentation systems, improving developer knowledge sharing, or building documentation-driven development workflows.
Capture and organize knowledge in workspace platforms. Structures information into wikis, databases, and connected knowledge graphs.
This skill should be used when the user asks to "create note", "capture thought", "save this", "document idea", "write note", "jot down", "quick note", "remember this", "capture this", or mentions wanting to save knowledge, ideas, or learnings for later reference in their secondbrain.
AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.
Persistent knowledge storage using basic-memory CLI. Use to save notes, search memories semantically, and build context for topics across sessions.
Operational runbook and procedure documentation specialist. Use when creating incident response procedures, operational playbooks, or system maintenance guides.
Gamified codebase onboarding through the Spaghetti Code Monster. Use when a developer wants to learn a new codebase through investigation, deep-dive challenges, and the Monster's guidance.
Transform structured external data (CSV/JSON) into Obsidian's linked knowledge system while preserving semantic relationships, optimizing graph structure, and preventing data corruption through systematic validation and YAML-safe template generation.Enables seamless knowledge transfer from databases, spreadsheets, and APIs into personal knowledge management, maintaining referential integrity and facilitating emergence of insights through networked thought.
AI's Knowledge Base CLI - Query and manage world knowledge for AI agents. Use when users want to search knowledge, add knowledge sources, or interact with the worldbook knowledge base. This is a CLI-first approach that treats AI agents as first-class citizens.
Sleep-time memory reflection: review recent conversations and daily notes, extract insights, and consolidate into long-term memory. Use when triggered by cron, heartbeat, or explicit request to reflect on recent activity. Runs as background processing to improve memory quality over time.
Claudeception is a continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /claudeception command to review session learnings, (2) "save this as a skill" or "extract a skill from this", (3) "what did we learn?", (4) After any task involving non-obvious debugging, workarounds, or trial-and-error discovery. Creates new Claude Code skills when valuable, reusable knowledge is identified.
Query schelling.sh for recurring, decision-shaped problems. Retrieve defaults and risks from prior cases, then attach durable follow-up learning. Works for Markdown deliverables when memory should steer decisions. Needs network.