Agentic Repository Execution: Delegated Changes

    1

    Get coordinated repository changes with independent checks, recorded handoffs, and a clear completion report.

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    Agentic Repository Execution: Delegated Changes

    Example session with this skill installed

    In this Python repo, delegate a change to normalize_email so it trims outer spaces and lowercases addresses. Add tests, validate independently, and leave changes uncommitted.

    • Read your context and instructions
    • Compiled the agentic repository execution

    COMPLETED: normalize_email now trims outer whitespace and lowercases addresses. Implementation was delegated, and independent validation passed.

    Changes delivered

    src/accounts/email.py:

    def normalize_email(address: str) -> str:
    return address.strip().lower()

    Updated tests/test_email.py with cases for mixed case, surrounding whitespace, and an already-normalized address. No address-format validation or other behavior was added.

    Ownership and validation

    WorkOwnerResult
    Function and regression testsImplementation agentDelivered
    Independent test runValidation agentPASS
    Integrated diff and scope checkCoordinating agentPASS

    Commands verified

    python -m pytest tests/test_email.py -q

# 3 passed
python -m pytest -q

# 28 passed
 git diff --check

# Passed with no output

    No failed, blocked, or skipped required checks remain.

    Handoff

    The existing task record at agent-notes/email-normalization.md now links the changed files and validation results. Unrelated working-tree changes were left untouched. Nothing was staged, committed, pushed, or deployed.

    Next steps

    • Review the function and regression-test diff.
    • Authorize staging and a commit if you want these changes recorded in Git.

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

    About this skill

    Delegating code changes can leave you with conflicting edits, missing tests, and unclear completion claims. This skill coordinates implementation agents and returns working-tree changes with a clear report of what changed and what was verified.

    What it does

    • Scoped implementation: Assigns bounded changes while respecting repository rules and existing work.
    • Conflict control: Separates ownership and runs work in parallel only where dependencies and file boundaries allow.
    • Independent checks: Coordinates review and validation separately from implementation, according to the change’s risk.
    • Recoverable handoffs: Keeps plans, progress, and evidence available for later agents.
    • Clear reporting: Lists changed files, check results, unresolved issues, and actions not performed.

    How it works

    1. Provide the repository, requested change, and any limits.
    2. The assistant inspects local instructions, available agents, and validation tools.
    3. Implementation agents make scoped changes, followed by appropriate checks.
    4. Receive a completion or blocker report with supporting evidence.

    Works with

    Code repositories, Git working trees, repository instructions such as AGENTS.md, and existing test, lint, type-check, and build commands. Your agent environment must support launching sub-agents.

    Why use this skill

    It reduces the manual work of coordinating assignments and checking handoffs. Completion is based on inspected changes and validation results, rather than an agent’s claim that the work is done.

    Use cases

    • Implement a feature across several components.
    • Refactor code without disturbing unrelated edits.
    • Resume staged work from recorded handoffs.

    Known limitations

    Delegated implementation stops if sub-agents are unavailable. Commits, pushes, deployments, and destructive actions need separate authorization.

    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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