The big “power user” features in Claude Code docs are basically:

• slash commands
• hooks
• skills
• agents/subagents
• MCP integrations
• memory systems
• permissions/sandboxing
• autonomous loops (/goal, /loop)

I’ve been quite focused on memory management but also need to know how to leverage other tools.

First, agent, we can ask directly to create another agent, then use /agent to view. I personally like to have several claude code window up with various agents doing different work. This works well because each window gets:

• isolated context
• focused objectives
• separate memory/thread
• less context pollution
• independent iteration speed

That isolation is often better than a single overloaded agent session. A lot of advanced users naturally evolve toward this setup. But note filesystem needs isolation, when run many Claude sessions against the same working tree, quality eventually drops because agents step on each other.

Second, skills, plugins and mcp servers, I will single out these three to a sperate blog after rigorous testing.

Third, hooks, automation triggers. so I just set up settings.json to have python files being automatically linted and formatted:

 65        "url": "https://mcp.factset.com/content/v1"
      66      }
      67    },
      68 +  "hooks": {
      69 +    "PostToolUse": [
      70 +      {
      71 +        "matcher": "Edit|Write",
      72 +        "hooks": [
      73 +          {
      74 +            "type": "command",
      75 +            "command": "black $CLAUDE_FILE_PATHS 2>/d
         +ev/null || true"
      76 +          },
      77 +          {
      78 +            "type": "command",
      79 +            "command": "ruff check --fix $CLAUDE_FILE
         +_PATHS 2>/dev/null || true"
      80 +          }
      81 +        ]
      82 +      }
      83 +    ]
      84 +  },
      85    "comments": {
      86      "model": "Kept as haiku for cost-efficiency. Use
          /model to switch to sonnet for complex reasoning task
          s.",
      87      "effort": "Medium is default; high for accuracy-c
          ritical, low for rapid iterations.",

Fourth, goal and loop. goal is to have AI to work till finish line while loop ask AI to keep iterating like a watchdog. For example

/goal all tests pass and build succeeds
/loop 10m check staging health and summarize issues