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meeting notes to tickets
Converts messy meeting notes and transcripts into prioritized, implementation-ready tickets for Jira, Linear, and GitHub.
$14.99
meeting notes to tickets
Example session with this skill installed
Extract actionable engineering work from these notes for Jira:
'Discussed the auth bug. Sarah said we need to fix the JWT expiry issues by Friday. We also talked about adding a dark mode toggle, but didn't decide on the colors yet. Mike will handle the auth fix.'
- Read your context and instructions
- Compiled the meeting notes to
I have analyzed the notes and extracted the actionable engineering work.
Ticket Extraction
Summary
- Tickets identified: 1
- P0: 1 P1: 0 P2: 0 P3: 0
- Ambiguous items requiring review: 1
Ticket 1 — Fix JWT Expiration Issues
Type: Bug
Priority: P0 (Target: Friday)
Effort: M — confidence low
Owner: Mike
Dependencies: None identified
Description
Resolve reported issues with JWT token expiration to ensure user sessions are handled correctly according to the timeline discussed.
Acceptance Criteria
- Given a user has an active session, when the JWT expires, the system must trigger a silent refresh or redirect to login.
- The expiration logic must align with the security requirements discussed for the Friday deadline.
- Implementation must be verified across both web and mobile clients.
Why This Matters
Fixing the auth bug reduces session-related errors and is critical for the upcoming release deadline.
⚠️ Items Requiring Clarification
Dark Mode Toggle: The feature was discussed but lacked a final decision on color palettes and design specs. No ticket was created to avoid guesswork.
Next steps
- Copy the "Fix JWT Expiration Issues" block directly into your Jira Create Issue screen.
- Assign the ticket to Mike.
- Follow up with the design team regarding the dark mode color palette before creating a UI ticket.
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About this skill
The problem
Meeting transcripts and notes are often a disorganized mess of ideas, sidebars, and half-formed plans. Converting these into actionable tickets manually is a tedious task that risks missing critical dependencies or inventing requirements to fill gaps.
What it does
- Identifies implementation-ready work from raw voice-to-text, Slack dumps, or informal notes.
- Standardizes output for Linear, Jira, GitHub Issues, and Notion with paste-ready formatting.
- Generates testable acceptance criteria using Given/When/Then or behavioral statements.
- Flags ambiguity and missing context instead of guessing developer requirements.
- Redacts sensitive personal, medical, or HR information from operational tickets.
Why this beats prompting it yourself
Generic prompts often hallucinate missing details or turn every sentence into a useless ticket. This tool uses a multi-phase extraction process that merges duplicates, distinguishes inferred priorities from explicit ones, and enforces an "Ambiguity Gate" to ensure high-signal output.
Use cases
- Converting a messy founder-led brainstorming session into a prioritized GitHub project.
- Turning a customer call recording into specific bug reports and feature requests.
- Extracting actionable engineering tasks from daily standup notes.
- Standardizing team handoffs by generating tickets with clear owners and dependencies.
Known limitations
Does not file tickets directly into external systems without a connected tool. Effort estimates are relative (S/M/L) and not precise time guarantees.
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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