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    SOP Reverse-Engineering Architect

    1

    Reverse-engineer messy notes and transcripts into structured, verifiable Standard Operating Procedures.

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    SOP Reverse-Engineering Architect

    SOP Reverse-Engineering Architect

    Example session with this skill installed

    Here are my notes from the customer refund call. Create a formal SOP from them. Notes: Support rep checks the order ID in Stripe. If under $50, they approve. Over $50 needs Manager Sarah.

    • Read your context and instructions
    • Compiled the sop reverse-engineering architect

    I have analyzed the provided notes regarding the customer refund process. I have extracted the core logic, identified the decision branch for refund thresholds, and flagged the missing exception handling protocols for review.

    Standard Operating Procedure: Customer Refund Process

    • Process: Customer Refund Authorization
    • Version: 0.1 (Draft)
    • Status: Awaiting Review
    • Owner: To confirm
    • Source Material: Internal notes from customer refund call

    1. Purpose

    To define the validation and approval steps required to issue customer refunds based on transaction value.

    5. Roles and responsibilities

    ActivityResponsible roleApproverHandoff / evidence
    Order ID VerificationSupport RepresentativeN/AStripe Transaction Log
    Tier 1 Refund (<$50)Support RepresentativeSupport RepresentativeSystem Approval
    Tier 2 Refund (>$50)Support RepresentativeManager SarahApproval Notification

    6. Step-by-step procedure

    Verify Order ID: The Support Representative checks the Order ID in the Stripe dashboard to confirm transaction validity.
    2. Determine Refund Tier:
    - If amount is <$50: Proceed to Tier 1 Approval.
    - If amount is >$50: Proceed to Tier 2 Approval.
    3. Execute Approval:
    - Tier 1: Support Representative authorizes in Stripe.
    - Tier 2: Support Representative requests authorization from Manager Sarah.

    8. Exception handling

    TriggerDetectionSafe actionOwnerEscalationRecoveryClosure
    Stripe API DownSystem ErrorLog requestRepTechnical LeadManual syncTicket update
    Sarah UnavailableNo responseDecision requiredRepTo confirmTo confirmTo confirm

    9. Quality control checklist

    • Order ID matches Stripe record.
    • Refund amount matches original transaction.
    • Manager approval logged for amounts >$50.

    11. Risks, gaps, and questions

    • Gap: What is the procedure if the refund amount is exactly $50?
    • Gap: What is the specific escalation path if Manager Sarah is on leave?
    • Risk: No records mentioned for communication with the customer after approval.

    Next steps

    1. Clarify the handling for exactly $50 transactions.
    2. Define the backup approver if Manager Sarah is unavailable.
    3. Review and move from Draft to Approved status.

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

    About this skill

    Turning messy meeting transcripts, scattered notes, or legacy docs into functional Standard Operating Procedures is a manual bottleneck. This skill automates the extraction of process logic to build structured, verifiable SOPs without inventing unauthorized policies. It identifies roles, triggers, and handoff points while explicitly flagging gaps for human confirmation.

    What it does

    • Extracts process logic from raw transcripts, notes, and existing documentation.
    • Maps roles and responsibilities using structured tables to define owners and approvers.
    • Documents exception paths by identifying triggers, escalation steps, and recovery actions.
    • Generates quality checklists for pre-start, in-process, and completion verification.
    • Performs gap analysis to isolate missing information, unavailable tools, or conflicting data.

    How it works

    1. Provide raw input such as a process recording transcript, bulleted notes, or an old document.
    2. The agent inventories all mentioned tools, roles, and source dates to establish a baseline.
    3. It extracts the step-by-step procedure, separating confirmed facts from inferred suggestions.
    4. The agent generates a structured SOP including decision points, exception handling tables, and risk logs.

    Frameworks & tools

    This tool works with Markdown-based documentation systems and plain text inputs. It is designed for environments requiring structured process management, such as internal wikis, GitHub documentation, or team knowledge bases.

    Why this beats prompting it yourself

    Generic prompts often hallucinate missing steps or invent corporate policies to fill gaps. This skill is hard-coded to prioritize source integrity, marking every assumption and missing detail as To confirm or Decision required to ensure operational safety.

    Use cases

    • Convert a team meeting recording into a formal onboarding manual.
    • Reverse-engineer an undocumented legacy workflow from developer notes.
    • Standardize fragmented department processes into a unified procedure format.
    • Audit existing workflows to identify missing exception handling and risk gaps.

    Known limitations

    Does not access external recordings; requires a provided transcript. Does not invent company-specific deadlines or approvals not found in source text.

    Requires provided transcripts or notes. Cannot access external links/recordings. Will not invent missing policies, deadlines, or owners; these are marked for human confirmation.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed20 days ago

    What's inside

    Frequently Asked Questions

    This skill is designed for any AI agent that supports Markdown or plain text processing. It works best with agents that allow for long-form document generation and can handle complex, structured data outputs.

    Unlike generic prompts that might guess missing details, this skill is engineered for 'source integrity.' It identifies gaps in your logic and explicitly flags them for human review rather than hallucinating policies or steps that weren't in your original notes.

    You receive the core logic and structured templates required to transform raw text into SOPs. This includes pre-configured workflows for role mapping, exception handling tables, and the gap analysis framework.

    The skill requires text-based input, such as a meeting transcript, a series of bullet points, or an existing legacy document. While it cannot listen to audio files directly, it excels at processing the text exported from tools like Otter.ai, Zoom, or Teams.

    Setup is near-instant; once you add the skill to your agent, you can immediately begin pasting raw process data. There is no complex configuration required beyond ensuring your input text is clear enough for the agent to parse.

    The output is delivered in structured Markdown, making it natively compatible with internal wikis (like Notion or Obsidian), GitHub documentation, and most project management knowledge bases.

    New in Business & Operations