Away Mode

    1

    Hand over a task file, walk away and come back to finished work, server-side proof and one handoff report.

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    Works with the AI Agents you already use

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    Away Mode

    Example session with this skill installed

    I'm going to sleep. Finish all 5 tasks in todo.md. You have full authority to handle it while I'm out. Don't ask me anything, just leave the report in HANDOFF.md.

    • Read your context and instructions
    • Compiled the away mode

    I have completed the autonomous run for the 5 tasks listed in todo.md. The session survived one timeout and resumed successfully using .away-mode/progress.json.

    Away Mode Handoff Report

    Job IDTaskStatusEvidence
    01Update User schemaDONEprisma migrate status confirmed schema version 20231027_12
    02Fix API auth leakDONEcurl -I returned 401 for unauthenticated request to /api/admin
    03Optimize image logsDONEdu -sh logs/images reduced from 4GB to 200MB via cleanup script
    04Refactor CSS modulesDONEnpm run build completed; no regressions in dist/assets
    05Flush Redis cacheBLOCKEDRequires production credentials not found in .env

    Assumptions & Decisions

    • Job 01: Used DateTime for the new last_login field to match existing conventions in Profile model.
    • Job 03: Set log retention to 7 days as the task file did not specify a duration.

    Irreversible Work Pending Approval

    The following tasks were prepared but not executed per safety protocols:

    • rm -rf ./legacy_backups/*: Prepared script scripts/cleanup_legacy.sh ready for execution.
    • docker system prune -a: Command staged; evidence of 15GB reclaimable space generated.

    Next steps

    1. Review the blocked Redis task and provide the necessary environment variables.
    2. Run ./scripts/cleanup_legacy.sh if the legacy backups are no longer needed.
    3. Delete the .away-mode directory to clear the session state.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Development stalls when you are away from the keyboard. This skill allows your agent to work through task lists autonomously while you are asleep or in meetings, making decisions on its own and providing verifiable proof for every completed job.

    What it does

    • Autonomous execution completes a specific list of tasks from your todo.md or backlog without asking for clarification.
    • State persistence maintains a progress.json file to ensure the agent can resume exactly where it left off if the session drops.
    • Verification loops runs actual tests, database queries or API calls to prove changes are live rather than just claiming they are done.
    • Automated decisioning resolves ambiguities by following existing project patterns and logging assumptions instead of pausing for user input.
    • Detailed handoff generates a HANDOFF.md report with status tables, command output evidence and a list of pending approvals for irreversible actions.

    How it works

    1. The user provides a task file or a list of jobs and signals they are going "away" or "offline."
    2. The agent initializes a tracking folder, reads project conventions (README, CLAUDE.md), and maps the verification targets.
    3. The agent enters a loop: planning, applying file changes, verifying on the server/database, and recording evidence.
    4. If a session interruption is likely, the agent schedules resume triggers to ensure the entire backlog is finished.

    Frameworks & tools

    Works with any stack that includes a task file (.md, Notion, Drive) and a command-line interface. It specifically integrates with docker-compose, prisma, alembic, and standard Unix tools for file manipulation and verification.

    Why this beats prompting it yourself

    Standard prompts often stall when they hit an error or an ambiguity, waiting for your reply. This skill enforces a "decide and record" policy and uses persistent state tracking to survive session timeouts, turning your agent into a true overnight worker.

    Use cases

    • Overnight refactoring to handle repetitive migrations or style updates across a large codebase.
    • Unattended deployments where the agent must verify container status and API health after a series of updates.
    • Syncing backlogs by working through a sprint.md file while the lead developer is in meetings.

    Known limitations

    Does not perform irreversible actions like dropping production tables or sending external emails without explicit prior permission. Requires access to a local filesystem or device bridge to maintain the state file.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Verified clean 15 days ago

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    Requires

    prisma
    Node.js

    Listed15 days ago
    Updated4 days ago

    What's inside

    Frequently Asked Questions