Takes meeting transcripts, extracts action items with owners and deadlines, detects implicit commitments, generates structured meeting summaries, and outputs task files compatible with Linear, GitHub Issues, and other project management tools.
SkillScore86Maintained
Automatic
◆Project Management pack
Last verified 8/24/2026
What it changes
Passed 19 of 22 test cases with the skill, and 13 of 22 without it.
Without skill59%
With skill86%
Checks it passed that the model alone missed
Includes the exact source quote alongside the extracted decision
Assigns owner as Unassigned or flags owner assignment for user review
Places the deferred billing architecture discussion into a parking lot section
and 3 more in the full report
6 fixed13 passed either way3 still failing0 broke
Pass-rate lift
+27 pp
Tokens
+116%
Agent turns
0%
Response time
+31%
Model gemini-3.6-flashMeasured 8/24/2026v119 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 6
Prompt
Extract the key decision regarding infrastructure from this transcript: 'Elena: After reviewing the costs, we are officially locking in AWS as our cloud provider for 2024.'
What was checked, without and with the skill
Checked
Without skill
With skill
Includes the exact source quote alongside the extracted decision
Missed
Passed
case-07 · gemini-3.6-flash · 8/24/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md42 lines5 files
Meeting to Tasks
Transform raw meeting transcripts into structured, actionable outputs: decisions, action items, owners, deadlines, and open questions -- including implicit commitments participants may not realize they made.
Contents
references/extraction-schema.md -- YAML field schemas for every extraction phase
references/meeting-types.md -- Meeting-type detection and per-type focus
Workflow
Accept input. Handle plain text, Markdown, pasted text, audio transcript exports (Otter.ai, Fireflies, Rev, Zoom, Google Meet, Microsoft Teams), or structured notes.
Validate. Confirm there is enough content (~100 words minimum), identifiable speakers, a discernible topic, and any timestamps. If input is too sparse, ask for the full transcript, the participant list, or the meeting purpose before proceeding.
Read the full transcript first. Do not extract from a partial read -- later context can change earlier interpretation.
Detect the meeting type and adjust focus per references/meeting-types.md.
Extract in phases using the schemas in references/extraction-schema.md: metadata, decisions, action items, open questions, parking lot, discussion points. Apply the markers and inference rules in references/markers.md. Preserve the exact source quote for every item.
Identify speakers. Build the participant list from speaker labels and track who said what. When labels are absent, infer from context clues, otherwise mark "Unassigned" and flag for the user to assign.
Score confidence on every item (high/medium/low). Flag all low-confidence items for human review per references/markers.md.
Resolve conflicts and ambiguity: flag contradictory commitments as "CONFLICT" with both versions; list all candidates for unclear ownership; translate vague deadlines ("soon", "ASAP") to specific dates and flag for confirmation; offer both readings of ambiguous scope; consolidate duplicates.
Generate outputs using references/output-templates.md. Confirm which project management format(s) the user wants before generating task files. Always generate the follow-up email, even if unasked.
Post-process: deduplicate overlapping items; map dependencies; highlight the critical path; report owner imbalance; warn on deadline clustering; list items missing owners or deadlines.
Rules
Make action items actionable: start each with a verb, specific enough that the owner knows exactly what to do. Transform "Think about pricing" into "Research competitor pricing and propose new pricing tiers by [date]."
Err toward capturing too much; a flagged low-confidence item beats a missed commitment.
Do not editorialize. Report what was said; keep any analysis in clearly labeled "Analysis" sections.
Respect privacy. If the meeting contains HR issues, personal matters, or confidential information, flag it and ask how to handle it in outputs.
Handle multi-language transcripts: extract in the primary language and note language-specific nuances.
Maintain an extraction log noting confidence levels, ambiguities, and decisions made during extraction.
Quick Commands
"Extract from [file]" -- Full extraction from the specified transcript