agent software map

    1

    Systematically map software capabilities, states, and recovery paths to ensure safe and predictable agent operations.

    $1

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    agent software map

    Example session with this skill installed

    Create an ASM for a standard REST client tool. Focus on managing request collections, environment variables, and verifying that a POST request actually updated the remote server state.

    • Read your context and instructions
    • Compiled the agent software map

    I have created the initial Agent Software Map for the REST client. This map prioritizes stable addressing for request collections and defines a strict operational contract for POST executions to ensure server-side verification rather than just checking the HTTP status code.

    ASM-REST-Client.md

    CategoryDefinition
    Software IdentityREST Client (Generic), v2.4+, OS-agnostic
    Stable Addressing1. UUID, 2. Folder Path + Request Name, 3. Variable Key
    Critical StatesEnvironment Active (None/Dev/Prod), Collection Locked, Sync Pending
    ObservationConsole Log (Response Body), UI Status Bar (Sync State), Environment Manager

    Operational Contract: POST Request Execution

    Goal: Create or update a resource and verify persistence.
    Preconditions: Environment selected, Auth token valid, No pending sync errors.
    Execution Methods:

    1. Runner UI: Best for bulk verification.
    2. CLI Trigger: Best for automated pipelines.
      Success Verification:
    • Primary: Perform a subsequent GET request to the resource URI and compare the JSON schema.
    • Secondary: Verify 201 Created or 200 OK status in the response header.
      Failure & Recovery:
    • If 401: Refresh token and retry once.
    • If 409 Conflict: Inspect remote state; do not retry without ID disambiguation.

    Next steps

    1. Run a controlled probe on a non-production endpoint to verify the GET verification logic.
    2. Add environment-specific variable mappings for the Production scope.
    3. Document the specific failure signals for the target API's rate limiting.
    ASM-REST-Client.md

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

    About this skill

    Operating unfamiliar or complex software often leads to agents entering a loop of blind exploration, failed retries, and state mistakes. This skill enables agents to create and maintain Agent Software Maps (ASMs), externalizing the operational knowledge required to control applications safely and predictably.

    What it does

    • Knowledge Mapping creates structured documentation of software identity, object relationships, and stable addressing methods.
    • State Validation defines critical pre-conditions and post-conditions to prevent operating on the wrong object or mode.
    • Method Selection establishes rules for choosing the most reliable control interface based on current environment state.
    • Result Verification prioritizes checking the actual software state over merely trusting successful API returns or UI clicks.
    • Recovery Modeling documents failure signals and provides safe retry or rollback paths to prevent compounding errors.

    How it works

    1. Identify and Scope defines the software version, environment, and target workflows to be mapped.
    2. Build the Map records stable object paths, decision-relevant states, and capability trees based on evidence.
    3. Execute via Contract uses specific operational contracts to handle high-risk or parameter-heavy tasks.
    4. Learn Incrementally updates the map with new observations, failure notes, or version-specific changes after real operation.

    Frameworks & tools

    This skill is framework-agnostic and works with any agent capable of file system operations and environment observation. It is designed for software automation tasks, GUI control, and API-heavy workflows.

    Why this beats prompting it yourself

    Generic prompts often fail when an agent encounters unexpected UI states or undocumented version changes. This skill provides a systematic architecture for preserving learned operational knowledge, ensuring that once a recovery path or stable ID is found, the agent never has to rediscover it.

    Use cases

    • Automating complex creative suites like Adobe After Effects where state is highly volatile.
    • Managing legacy enterprise software with ambiguous object IDs and frequent failures.
    • Creating a shared operational knowledge base for a multi-agent team controlling the same tool.
    • Safely handling destructive operations like file overwrites or cloud deployments.

    Known limitations

    Does not provide the underlying control drivers or computer use capabilities. Success depends on the agent's ability to observe the target environment as defined in the map.

    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.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scanned

    Verified clean 5 days ago

    • Passed all security checks, Safe to install

    Requires

    Python

    Listed5 days ago

    What's inside

    Frequently Asked Questions