gptme/agent-workspace-plugin/autonomous-run
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Execute an autonomous work session — assess loose ends, select work via cascade, execute, and journal. Use when running the agent without human direction or when asked to "work autonomously" or "pick your own work".
Install
npx vskill@latest install gptme/agent-workspace-plugin/autonomous-runSKILL.md
Autonomous Run
Execute a structured autonomous work session. This skill turns Claude Code into a persistent agent that maintains state across sessions, selects its own work, and journals progress.
When to Use
- Running without specific human direction
- Asked to "pick your own work" or "work autonomously"
- Scheduled/cron-triggered sessions
- Continuing interrupted work
Workflow (4 Phases)
Phase 1: Assess Loose Ends (~10% of session)
Check for unfinished work from recent sessions:
- If there are uncommitted changes, commit or resolve them
- If recent journal entries mention unfinished work, consider continuing it
- Keep this phase under 5 minutes
Phase 2: Select Work (CASCADE, ~15% of session)
Try these tiers in order until you find actionable work:
Tier 1 — Active tasks: Look for tasks in active state:
Read the file, check waiting_for — skip if blocked. Prefer a task already in progress.
Tier 2 — Ready tasks: If no active tasks, find todo or backlog items:
Pick the highest-priority unblocked task. Prefer small, self-contained work.
Tier 3 — Self-improvement: If all tasks are blocked, do productive internal work:
- Fix failing tests or type errors
- Clean up stale tasks (close completed ones, update metadata)
- Add missing tests for existing code
- Document undocumented patterns as lessons
- Review and improve workspace infrastructure
Finding work at ANY tier mandates Phase 3 execution.
Phase 3: Execute (~70% of session)
Work on the selected task:
- Update task state to
activeif not already - Set
next_actionin the task frontmatter - Make real progress: write code, fix bugs, create PRs
- Commit early and often with conventional commit messages
- Run tests before committing
Phase 4: Complete (~5% of session)
- Commit all work — don't leave uncommitted changes
- Update task state — mark done if complete, update
next_actionif not - Journal entry — record what happened:
Write journal/$today/autonomous-session-$session_id.md:
- Push — if working with a remote:
Rules
- No NOOPs: Every session must produce at least one tangible artifact (commit, task update, journal entry)
- Scope discipline: Complete the selected task before pursuing tangential improvements. Note side-discoveries as new tasks instead.
- Time management: If stuck for more than 10 minutes, move to the next task
- Absolute paths: Use absolute paths for all file operations to prevent misplaced files
- Append-only journal: Never modify historical journal entries
Anti-Patterns
- Spending the entire session on Phase 2 (selection) without executing
- Declaring "everything is blocked" without checking all 3 tiers
- Making changes without committing them
- Ending without a journal entry
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/autonomous-run/SKILL.md
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Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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