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shaowen310shaowen310/skills/meeting-minutes/SKILL.md

meeting-minutes

Skill1 starsChanged 4 months agoMITView on GitHub

Turn a meeting transcript (or pre-transcribed text) plus a Markdown minute template into a clean, structured meeting minute. Use when the user asks to summarize a meeting, write meeting notes/minutes from a transcript, or fill a minutes template. Triggers on: "会议纪要", "整理会议纪要", "meeting minutes", "summarize the meeting", "写会议纪要", "根据录音整理", "fill the minutes template", "把会议记录整理成模板". The assistant reads the transcript, extracts attendees/agenda/discussion/decisions/action items, and fills the Markdown template. Source transcript and template are never modified.

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The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 24 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not use for: transcribing raw audio/video (out of scope — ask the user to provide a transcript first).

    line 22
  2. Very specific:

    Read the transcript and produce a JSON data object with these keys.

    line 46
  3. Very specific:

    If the transcript is partial, mark uncertain fields TBD and note it in the minute (e.g.

    line 82
  4. Distinctive:

    If the user also needs a Word (.docx) copy, use the

    line 123
  5. Distinctive:

    Input transcript / template: Read-only. Never modified.

    line 131

“Common” is measured: kept by at least 6 in 10 of the 24 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Meeting Minutes

Convert a meeting transcript (or any pre-transcribed text) plus a Markdown minute template into a clean, structured meeting minute. No audio processing is involved — the user supplies text.

When to use

  • The user pastes a transcript, or points to a .md / .txt transcript file, and wants a structured meeting minute.
  • The user has a minutes template (Markdown) they want filled, or wants the skill's default template.
  • The user says "整理会议纪要", "summarize the meeting", "fill the minutes template", etc.

Do not use for: transcribing raw audio/video (out of scope — ask the user to provide a transcript first).

Inputs / outputs

ItemRule
TranscriptRead-only text source (.md / .txt, or pasted). Never modified.
TemplateMarkdown minute template (yours, or the bundled default). Never modified.
OutputFilled minute, saved to CWD: YYYYMMDD_{MeetingPurpose}_Minutes.md <br>MeetingPurpose comes from meeting_purpose/meeting_title, kept short (≤5 words; safety cap prevents lengthy names). Falls back to {MeetingPurpose}_Minutes.md if no date is found.

The skill ships references/minutes_template.md as the default template.

Workflow

Step 1: Gather inputs

  1. Get the transcript — a file path, or pasted text.
  2. Get the template — a user template, or use the default: references/minutes_template.md.
  3. Confirm the desired output path (default: meeting-minutes.md in CWD).

Step 2: Extract structured data from the transcript

Read the transcript and produce a JSON data object with these keys. Use null or [] when a section is absent — do not invent content.

KeyTypeNotes
meeting_titlestringFrom subject/opening, else infer a short title
meeting_purposestringOptional. Short purpose/theme used in the output filename (YYYYMMDD_{MeetingPurpose}_Minutes.md). Keep it short (aim for ≤5 words; the script applies a safety cap so the filename stays brief). Defaults to meeting_title when omitted.
datestringYYYY-MM-DD when stated
timestringStart–end, e.g. 14:00–15:00
locationstringRoom / platform (Zoom, Teams…)
note_takerstringPerson recording minutes
languagestringOutput language code: "en" (default) or "zh" (or any label the assistant understands, e.g. "中文"). Localizes the script's generated labels/headers so the minute matches the transcript's language.
attendeeslist[str]Name (role) — from speaker labels (Alice:) or roll-call. Unlabeled or "not present" mentions — note under Open Issues or the relevant discussion point; no separate absent field is exposed.
agendalist[str]Topics planned / announced
discussionlist[obj]{ "topic": str, "summary": str } — 2–4 concise bullets of key points, options considered, disagreements
decisionslist[str]Explicit decisions / approvals, with rationale when given
action_itemslist[obj]{ "action": str, "owner": str, "due": str, "status": "Open" } — owner/due TBD if not stated
open_issueslist[str]Risks, blockers, parking-lot items
next_meetingobj{ "date": str, "topics": str } — if absent, the ## Next Meeting section is omitted entirely from the output

Extraction rules (opinionated):

  • Map Speaker: labels in the transcript → attendees. Unlabeled or "not present" mentions — note under Open Issues or the relevant discussion point; no separate absent field is exposed.
  • Pull explicit decisions, approvals, and "we will / let's / agreed to" phrasing → action_items with owner + due when stated, else TBD.
  • Summarize each agenda topic into 2–4 bullets; preserve numbers, dates, names, and technical terms verbatim — do not paraphrase metrics.
  • Language: Detect the transcript's language and set language to match (e.g. zh for a Chinese transcript). Write all extracted content in that language. For Path A also localize the template's section headers/labels; for Path B pass a localized template — the script localizes its own generated action-items table headers and the (None) / (TBD) labels via language. Empty sections ({{next_meeting}} with no data) are automatically removed from the rendered output.
  • If the transcript is partial, mark uncertain fields TBD and note it in the minute (e.g. under Open Issues).

Step 3: Fill the template

Two equivalent paths — pick whichever fits:

A. Direct (recommended): Fill the template in place from the JSON you just built. Replace each {{placeholder}} with the rendered value, and remove any leftover {{...}} tokens. Section headers in the template stay as-is.

B. Scripted (deterministic): Save the JSON to a file and render with the bundled script. This guarantees consistent formatting/tables:

python "<skill_dir>/scripts/fill_minutes.py" <data.json> <template.md> <output.md>
  • <template.md> and <output.md> are optional; they default to the bundled template and YYYYMMDD_<MeetingPurpose>_Minutes.md in CWD (named from the date + meeting_purpose/meeting_title field; <MeetingPurpose>_Minutes.md if no date).
  • To scaffold a sample JSON, run:
    python "<skill_dir>/scripts/fill_minutes.py" --init-skeleton skeleton.json

The script renders {{attendees}}/{{decisions}}/{{open_issues}} as bullet lists, {{agenda}} as a numbered list, {{discussion}} as ### topic sub-sections, {{action_items}} as a Markdown table, and {{next_meeting}} as a key/value block. When {{next_meeting}} data is absent, the entire ## Next Meeting heading and its content are removed from the output — no placeholder or fallback remains.

Step 4: Verify & present

  1. Confirm no {{placeholder}} tokens remain in the .md output.
  2. Confirm the .md file was written.
  3. Confirm the source transcript and template are untouched.
  4. Present the output path and a short summary: # attendees, # decisions, # action items, and any TBD/open items needing follow-up.

If the user also needs a Word (.docx) copy, use the meeting-minutes-export orchestrator skill.

For the full end-to-end workflow (.md → .docx), see meeting-minutes-export/SKILL.md.

File organization rules

  • Input transcript / template: Read-only. Never modified.
  • Output minute: Saved to CWD. Never overwrites the template.

Bundled resources

  • references/minutes_template.md — default Markdown template with {{placeholder}} tokens.
  • scripts/fill_minutes.py — deterministic renderer (JSON → templated .md).

Typical user prompts

LanguageExample
Chinese"把这份会议记录整理成会议纪要"
Chinese"根据录音整理成模板格式的纪要"
English"Summarize this meeting transcript into minutes"
English"Fill my minutes template from this transcript"

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