meeting-minutes-generator

Generates structured meeting minutes from text transcripts. Use when the user provides text content and wants a structured summary with a signature.

53 stars

Best use case

meeting-minutes-generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Generates structured meeting minutes from text transcripts. Use when the user provides text content and wants a structured summary with a signature.

Teams using meeting-minutes-generator should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/meeting-minutes-generator/SKILL.md --create-dirs "https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/Other/meeting-minutes-generator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/meeting-minutes-generator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How meeting-minutes-generator Compares

Feature / Agentmeeting-minutes-generatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Generates structured meeting minutes from text transcripts. Use when the user provides text content and wants a structured summary with a signature.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Meeting Minutes Generator

## When to Use

- Use this skill when the request matches its documented task boundary.
- Use it when the user can provide the required inputs and expects a structured deliverable.
- Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.

## Key Features

- Scope-focused workflow aligned to: Generates structured meeting minutes from text transcripts. Use when the user provides text content and wants a structured summary with a signature.
- Documentation-first workflow with no packaged script requirement.
- Reference material available in `references/` for task-specific guidance.
- Structured execution path designed to keep outputs consistent and reviewable.

## Dependencies

- `Python`: `3.10+`. Repository baseline for current packaged skills.
- `Third-party packages`: `not explicitly version-pinned in this skill package`. Add pinned versions if this skill needs stricter environment control.

## Example Usage

```text
Skill directory: 20260316/scientific-skills/Others/meeting-minutes-generator
No packaged executable script was detected.
Use the documented workflow in SKILL.md together with the references/assets in this folder.
```

Example run plan:
1. Read the skill instructions and collect the required inputs.
2. Follow the documented workflow exactly.
3. Use packaged references/assets from this folder when the task needs templates or rules.
4. Return a structured result tied to the requested deliverable.

## Implementation Details

See `## Workflow` above for related details.

- Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
- Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
- Primary implementation surface: instruction-only workflow in `SKILL.md`.
- Reference guidance: `references/` contains supporting rules, prompts, or checklists.
- Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
- Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

## Inputs

* `transcript` *(required)* — Meeting text transcript
* `title` *(optional)* — Meeting title
* `meeting_type` *(required)* — One of:

  * Work Report
  * Client Communication
  * Other

---

## Workflow

### 1. Input Analysis

* Validate transcript text exists and is readable.
* Identify title if provided.
* Confirm meeting type is valid.

---

### 2. Processing

From the transcript, extract:

* Participants
* Key discussion topics
* Decisions made
* Action items
* Next steps

Ignore irrelevant or duplicated content.

---

### 3. Generation

* Retrieve current system time in format `YYYY-MM-DD HH:MM:SS`.
* Generate structured meeting minutes.
* Ensure output ends with the timestamp line.

---

## Output Format

```
Meeting Title:
Meeting Type:
Participants:

Key Topics Discussed:
- ...

Decisions Made:
- ...

Action Items:
- Responsible Person — Task — Deadline

Next Steps:
- ...

Prepared Time: <Current Time>
```

---

## Constraints

* Transcript must contain valid text.
* Output must follow the structured format.
* No hallucinated facts; only use transcript content.
* Timestamp must be included at the end.

---

## Behavior Notes

* If participants are unclear, output "Not specified".
* If no decisions or action items are found, output "None identified".
* Keep language concise and professional.
* Preserve important numbers, dates, and commitments exactly.

## When Not to Use

- Do not use this skill when the required source data, identifiers, files, or credentials are missing.
- Do not use this skill when the user asks for fabricated results, unsupported claims, or out-of-scope conclusions.
- Do not use this skill when a simpler direct answer is more appropriate than the documented workflow.

## Required Inputs

- A clearly specified task goal aligned with the documented scope.
- All required files, identifiers, parameters, or environment variables before execution.
- Any domain constraints, formatting requirements, and expected output destination if applicable.

## Output Contract

- Return a structured deliverable that is directly usable without reformatting.
- If a file is produced, prefer a deterministic output name such as `meeting_minutes_generator_result.md` unless the skill documentation defines a better convention.
- Include a short validation summary describing what was checked, what assumptions were made, and any remaining limitations.

## Validation and Safety Rules

- Validate required inputs before execution and stop early when mandatory fields or files are missing.
- Do not fabricate measurements, references, findings, or conclusions that are not supported by the provided source material.
- Emit a clear warning when credentials, privacy constraints, safety boundaries, or unsupported requests affect the result.
- Keep the output safe, reproducible, and within the documented scope at all times.

## Failure Handling

- If validation fails, explain the exact missing field, file, or parameter and show the minimum fix required.
- If an external dependency or script fails, surface the command path, likely cause, and the next recovery step.
- If partial output is returned, label it clearly and identify which checks could not be completed.

## Quick Validation

Run this minimal verification path before full execution when possible:

```text
No local script validation step is required for this skill.
```

Expected output format:

```text
Result file: meeting_minutes_generator_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any
```

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