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Meeting Decision Log
Turn meeting chaos into a crisp decision log with owners, deadlines, and follow-up wiring.
$5
Meeting Decision Log
Example session with this skill installed
Extract the decisions and tasks from this transcript: 'Alice: We should use Postgres. Bob: Fine, let's do it. I'll set up the DB by Friday. What about the frontend? Alice: Let's wait for Dave.'
- Read your context and instructions
- Compiled the meeting decision log
Meeting Log — Database & Frontend (2023-10-27)
Decisions
| # | Decision | Reason | Owner |
| 1 | Use Postgres for the database | Consensus reached | Alice/Bob |
Tasks
| # | Task | Owner | Due | Status |
| 1 | Set up the database | Bob | Friday | [TASK] |
Parked
| # | Topic | Blocker |
| 1 | Frontend selection | Waiting for Dave |
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Meeting transcripts are often a mess of rambling thoughts, circular discussions, and unassigned tasks. Critical decisions get buried in the noise, leading to missed deadlines and misaligned teams.
What it does
- Extracts explicit consensus points into a structured decision log with context.
- Identifies action items and assigns owners based on verbal commitments and heuristics.
- Tracks deferred topics and blocked discussions in a dedicated parked section.
- Surfaces unresolved questions that require further clarification or triage.
- Deduplicates redundant points and resolves contradictions based on the final speaker agreement.
Why this beats prompting it yourself
Generic prompts often miss the nuance of verbal commitments or fail to resolve contradictions when speakers change their minds. This skill uses a specific extraction heuristic to ensure ownership is accurately assigned and statuses are correctly categorized without manual cleanup.
Use cases
- Convert Zoom or Teams transcripts into actionable project logs.
- Generate handoff-ready summaries for engineering sprints.
- Audit stakeholder meetings to verify exactly what was agreed upon and why.
- Provide clear action items for team members who missed the live call.
Does not perform sentiment analysis or summarize marketing content. Requires users to provide dates or deadlines if they are not explicitly mentioned in the text.
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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