Claude Code 2.1.139 shipped three features that fundamentally change how you use it: the /goal command, Agent View, and persistent background sessions. Together, they transform Claude Code from a coding assistant into an autonomous agent fleet management tool. This guide focuses specifically on /goal — what it does, how to use it, and how to combine it with Agent View for multi-task orchestration.
Accuracy note: This guide is based on the confirmed feature set from Claude Code 2.1.139 release coverage and community documentation. For the most current syntax and flag options, refer to the official Claude Code documentation — exact command syntax may evolve across releases.
What the /goal Command Does
Before /goal, Claude Code operated in a turn-by-turn mode. You’d give an instruction, Claude would respond, and you’d evaluate the result and decide what to do next. Long, multi-step tasks required you to stay engaged the whole time — monitoring progress, providing course corrections, and chaining prompts manually.
The /goal command changes this. It lets you define a completion condition — a specific, verifiable outcome you want Claude Code to achieve — and then Claude Code works autonomously across as many turns as needed until that condition is met. You don’t need to babysit the session.
This is the difference between asking Claude Code “write unit tests for this file” (a task) and “achieve 90% test coverage on this module with all tests passing” (a goal). The former is done when Claude Code writes the tests. The latter is done when the coverage threshold is actually met — which may require writing tests, running them, identifying gaps, adding more tests, and iterating.
Prerequisites
- Claude Code version 2.1.139 or later
- Access to the persistent sessions feature (enabled by default in 2.1.139+)
- An active Anthropic subscription with Claude Code access
Check your version:
claude --version
If you’re below 2.1.139, update via:
# Refer to official Claude Code docs for the current update command
# as update syntax may vary by installation method
Using /goal: Step by Step
Step 1: Start a Claude Code session
Open a new Claude Code session in your working directory:
claude
Step 2: Set your goal
Use the /goal command followed by a specific, verifiable completion condition:
/goal All failing tests in ./tests/ pass and coverage for src/api/ is above 85%
Or for a refactoring task:
/goal Refactor ./src/auth/ to use the repository pattern — all existing tests still pass, no TODO comments remain in the auth module
Or for a research and writing task:
/goal Write a technical spec for the new notifications feature — spec covers API design, data model, and error handling, saved as ./docs/notifications-spec.md
Tips for writing effective goals:
- Make the completion condition verifiable — Claude Code should be able to check whether it’s met
- Include quantitative thresholds where possible (coverage %, test pass rate, file sizes)
- Specify output locations when the goal produces files
- Avoid vague goals like “improve the code” — prefer specific outcomes like “eliminate all ESLint errors in ./src/”
Step 3: Let Claude Code work
After you set a goal, Claude Code begins working autonomously. It will:
- Break the goal into sub-tasks
- Execute each sub-task
- Check progress against the completion condition
- Identify and address gaps
- Repeat until the goal is achieved or it determines it cannot proceed
You can leave the session and come back. With persistent background sessions (a companion feature in 2.1.139), the session continues working even if your terminal closes.
Step 4: Monitor progress with Agent View
Agent View is the TUI (terminal UI) dashboard that lets you see all active Claude Code sessions at once. If you have multiple /goal sessions running in parallel, Agent View gives you a unified view of their status.
To open Agent View:
# Refer to official Claude Code documentation for the exact Agent View command
# as the interface may have evolved since initial release
From Agent View, you can:
- See which sessions are actively working
- Review recent actions each session has taken
- Intervene in a specific session if needed
- Cancel a goal that’s going in the wrong direction
Step 5: Reviewing goal completion
When Claude Code determines it has met the goal condition, it will summarize what it accomplished and how it verified completion. Review this output carefully — particularly for goals involving code changes, check that the verification logic matches your actual intent.
For test coverage goals, verify with your test runner independently:
# Example — use your project's actual test command
npm test -- --coverage
# or
pytest --cov=src/api tests/
Combining /goal with Persistent Sessions
The real power of /goal emerges when combined with persistent background sessions. You can:
- Set a complex goal (multi-hour refactoring, comprehensive test suite, documentation generation)
- Detach from the session
- Come back hours later to review what was accomplished
This transforms Claude Code from a synchronous tool you use during work hours into an asynchronous agent you delegate to overnight or across context switches.
When /goal Works Best (and When It Doesn’t)
Works well:
- Well-scoped technical tasks with verifiable outcomes
- Tasks where intermediate states can be checked (test results, linting, build success)
- Iterative improvement tasks (increase coverage, reduce technical debt, fix error classes)
- Documentation generation with clear completeness criteria
Be cautious with:
- Tasks requiring external approvals or credentials you haven’t pre-provisioned
- Goals where the completion condition is inherently subjective (“improve code quality”)
- Large-scale refactors without good test coverage — Claude Code can’t verify it hasn’t broken behavior
- Tasks involving sensitive data that you wouldn’t want processed autonomously
A Note on Agentic Autonomy
The /goal command is a significant step toward truly autonomous coding agents. As you use it, develop the habit of reviewing what the agent did — not just whether the goal metric was hit. Autonomous agents can achieve stated goals through means that technically satisfy the condition but miss the intent.
For example, an agent told to “achieve 90% test coverage” might add tests that cover code paths without meaningfully testing them. Always spot-check the work, not just the metrics.
Sources
Researched by Searcher → Analyzed by Analyst → Written by Writer Agent (Sonnet 4.6). Full pipeline log: subagentic-20260513-0800
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