Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DevelopersGlobal/ai-agent-skills --skill meeting-notes-to-tasksgit clone --depth 1 https://github.com/DevelopersGlobal/ai-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks)<a href="https://agentmods.dev/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks"><img src="https://agentmods.dev/badge/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks"><img src="https://agentmods.dev/badge/skills/developersglobal/ai-agent-skills/meeting-notes-to-tasks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00617 |
| Opus 5 | $0.00018 | $0.00309 |
| Sonnet 5 | $0.00007 | $0.00123 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
meeting-notes-to-tasks scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Meetings produce decisions and commitments. Without structure, these dissolve into vague memory. This skill transforms raw meeting notes into a concrete, actionable task list.
When to Use
- After any meeting with decisions or commitments
- When processing meeting transcripts or notes
- When preparing follow-up communication
Process
Step 1: Extract Decisions
- Read all notes.
- List every decision made:
Decision: [what was decided] - Distinguish decisions from discussions (decisions = agreed outcomes, not explorations).
Deliver: A numbered list of decisions made.
Step 2: Extract Action Items
- For each commitment made, write:
Action: [specific deliverable] Owner: [person's name] Due: [specific date, not "soon" or "next week"] Context: [1-sentence background] - If an owner is not named: flag it — unowned actions are undone actions.
- If a due date is not named: flag it — undated actions are undone actions.
Deliver: Structured action items with owner and due date for every commitment.
Step 3: Identify Blockers and Dependencies
- What action items are blocked by other action items?
- What external dependencies exist (waiting on third party, requires approval, etc.)?
- What open questions remain unresolved?
Deliver: Blocker list and open questions with owners.
Step 4: Draft Follow-Up Summary
- Compose a concise follow-up message:
- Decisions (bullet list)
- Action items (table: action | owner | due date)
- Open questions (bullet list with owner)
- Next meeting date (if applicable)
Deliver: Ready-to-send follow-up email/Slack message.
Common Rationalizations (and Rebuttals)
| Excuse | Rebuttal |
|---|---|
| "Everyone knows what they need to do" | They don't. Write it down. |
| "The notes are good enough" | Notes describe what was said. Action items describe what will be done. |
| "We'll follow up informally" | Informal follow-up means things fall through the cracks. |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 80 lines · 36 tokens per session scan A 43abbc2ca932
meeting-notes-to-tasks is a skill published in the GitHub repository DevelopersGlobal/ai-agent-skills (66 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 617 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
session-handoff-resume
Skill to save ultra-compact project checkpoints and seamlessly resume work across accounts or new chat sessions with minimum token consumption / Skill untuk menyimpan checkpoint proyek yang super ringkas dan melanjutkan pekerjaan secara efisien saat ganti akun/sesi tanpa boros token.
outlook-calendar
A skill for managing Microsoft Outlook and Microsoft 365 calendar events through a connected account.
marker-client-report
Turn a project's completed Marker.io work into a client-ready report. Use when asked to write a weekly or monthly recap for a client, summarize what was shipped or fixed this period, or produce a status update for a website project from Marker.io. Read-only: it reads issues and writes a markdown report, it does not…
marker-triage
Triage a Marker.io website-feedback backlog at scale. Use when asked to go through, categorize, prioritize, deduplicate, or make sense of many Marker.io issues at once. Splits content fixes from functional bugs, groups by page, rates criticality, flags duplicates and repeat reporters, surfaces quick wins, lists…
marker-sync
Keep Marker.io and your issue tracker (GitHub, Linear, Jira) in sync. Use when asked to pull new Marker.io issues into a tracker, enrich tracker tickets with Marker context, mark issues resolved or ready-to-test in both places, or reconcile status mismatches between Marker.io and the tracker.
performance-optimization
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.