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sop training pack builder
Converts messy transcripts and notes into evidence-backed SOPs and synchronized training materials with zero guesswork.
$5
Works with the AI Agents you already use
sop training pack builder
Example session with this skill installed
Build an SOP and training quiz from this transcript of a customer refund process and the attached screenshot of the billing dashboard. Note that the transcript mentions two different managers.
- Read your context and instructions
- Compiled the sop training builder
I have processed the refund process transcript and dashboard screenshot. The pack is
Conditionally Ready due to a conflict regarding refund approval limits between two sources.
SOP Training Pack: Customer Refund Process
Evidence Ledger
| Evidence ID | Source | Location | Type | Extract | Status |
|---|---|---|---|---|---|
| E-001 | Transcript | 00:04:12 | Instruction | "Select 'Issue Refund' from the dropdown" | Confirmed |
| E-002 | Screenshot-01 | Center Panel | Observed | Button label is 'Process Return' not 'Issue Refund' | Conflicting |
| E-003 | Transcript | 00:08:45 | Policy | "Manager A says $50 limit; Manager B says $100" | Conflicting |
Operating SOP (Segment)
| Step ID | Owner | Action | System | Expected Result | Evidence |
|---|---|---|---|---|---|
| P-01 | Support Agent | Select 'Process Return' | Billing DB | Refund modal opens | E-002 |
| P-02 | Support Agent | Enter refund amount | Billing DB | Amount validated | E-001 |
| D-01 | Manager | Approve if > $Limit | Billing DB | GAP: Approval threshold | E-003 |
Learner Quiz
- According to the Billing Dashboard UI, which button initiates the flow?
- A) Issue Refund
- B) Process Return (Correct - Evidence E-002)
- C) Cancel Transaction
- What is the current confirmed limit for auto-approval?
- Answer: This cannot be determined from current evidence. Owner confirmation required (Conflict E-003).
Conflict & Gap Register
| Conflict ID | Topic | Source A | Source B | Resolution Status |
|---|---|---|---|---|
| C-01 | UI Label | Transcript ("Issue Refund") | Screenshot ("Process Return") | Use Observed UI |
| C-02 | Approval Limit | Manager A ($50) | Manager B ($100) | OPEN - Requires Owner |
Next steps
- Confirm if the $50 or $100 threshold is the current policy.
- Update Step D-01 once the threshold is confirmed.
- Verify if the transcript "Issue Refund" refers to a legacy version of the Billing DB.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Process documentation is often a mess of conflicting transcripts, outdated PDFs, and unverified chat logs. Relying on an AI to "fill in the blanks" usually results in hallucinated procedures that create operational risk.
What it does
- Extracts verifiable evidence from transcripts, screenshots, PDFs, and notes into a stable evidence ledger.
- Generates synchronized SOPs, quick reference guides, lesson plans, and competency assessments.
- Identifies and logs explicit gaps, conflicting instructions, and missing ownership instead of guessing.
- Maintains a change-impact matrix to update all dependent training materials when a single process step changes.
- Maps every operational claim to a specific source ID (e.g., timestamp, page number, or screenshot region).
Why this beats prompting it yourself
Standard prompts encourage LLMs to be "helpful" by inventing missing information to complete a document. This skill enforces an evidence-first constraint, ensuring your operations are based on facts rather than plausible hallucinations. It also automates the tedious task of cross-referencing training quizzes and checklists against the master SOP.
Use cases
- Converting a recorded Zoom training session into a formal SOP and learner quiz.
- Auditing legacy process docs against current UI screenshots to identify system drift.
- Building a facilitator-led lesson plan from messy project handover notes.
- Generating a competency rubric for new hires based on existing expert transcripts.
Known limitations
Requires legible source material; cannot infer hidden system logic or back-end API behaviors not visible in the provided inputs.
Requires legible source material. Cannot infer backend system logic or UI behaviors not explicitly visible or described in the inputs. Must have stable source IDs for full traceability.
How to use
- 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
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 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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