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Decision & Action Register
Converts messy meeting notes into a source-grounded register of decisions, actions, owners, dependencies, and unresolved questions.
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See it in action
You say
Use decision-action-register on the attached transcript from the Q3 Planning Session. Build the default package and cite all conclusions. Do not invent missing owners.
Your agent does
Decision Register
[D-001] Approve $50k budget for Project X. (Source: S1, 12:05) [D-002] Rebrand launch date set for Oct 15. (Source: S2, p.3)
Action Register
[A-001] Draft RFP. Owner: Sarah. Due: Friday. (Source: S1, 12:10) [A-002] Security Audit. Owner: UNKNOWN. Due: TBD.
What you get
About this skill
The problem
Meeting notes are often messy, ambiguous, and lack accountability. Stakeholders struggle to track what was actually decided versus what was merely suggested, leading to lost context and stalled projects.
What it does
- Extracts specific decisions, actions, owners, and dependencies from raw notes.
- Assigns source IDs and locators to every material claim for full auditability.
- Preserves conflicting information and highlights missing evidence rather than smoothing it over.
- Generates a structured package including a digest, registers, open questions, and a change log.
- Uses stable item IDs to allow for diffing across recurring meeting cycles.
Why this beats prompting it yourself
Standard LLM summaries often hallucinate completion or "clean up" helpful friction like conflicting opinions. This skill enforces strict quality gates and a traceability ledger, ensuring every output is grounded in your provided source material without inventing missing facts.
Use cases
- Convert messy Zoom or Teams transcripts into professional project registers.
- Track evolving decisions and open risks across a series of weekly stakeholder syncs.
- Audit project history by diffing stable item IDs against prior meeting outputs.
- Identify critical information gaps that require immediate follow-up.
Known limitations
Cannot send reminders, assign tasks in external tools, or contact third parties. Requires manual reconciliation for extremely large source sets processed in batches.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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