Agent skill

Meeting Grounding

by gaotiexinqu in gaotiexinqu/OneResearchClaw

Convert a raw multi-speaker meeting transcript into structured meeting notes for downstream follow-up, with optional topic-level fan-out when the meeting contains multiple independent discussion…

MITAuto-check passedProductivity & Automation

Install Meeting Grounding

skills CLI
$ npx skills add gaotiexinqu/OneResearchClaw --skill meeting-grounding -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gaotiexinqu/OneResearchClaw meeting-grounding --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/meeting-grounding .claude/skills/meeting-grounding && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
meeting-grounding
GitHub stars
450
Token cost
~2.2k tokens
SKILL.md length
971 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Convert a raw multi-speaker meeting transcript into structured meeting notes for downstream follow-up, with optional topic-level fan-out when the meeting contains multiple independent discussion…

  • Works in 5 steps: Read the full transcript first. → Identify major discussion blocks. → Decide whether they should remain… → …
  • Tasks that involve Meeting notes and agendas
  • SKILL.md covers When to Use, Input, Output and Meeting-level grounded.md schema, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Meeting Grounding is an agent skill from gaotiexinqu/OneResearchClaw. Convert a raw multi-speaker meeting transcript into structured meeting notes for downstream follow-up, with optional topic-level fan-out when the meeting contains multiple independent discussion blocks.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Meeting notes and agendas. The repository describes itself as: Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher. The licence is MIT.

When your agent uses it

  • Tasks that involve Meeting notes and agendas

Example prompts

  • “/meeting-grounding”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Read the full transcript first.
  2. Identify major discussion blocks.
  3. Decide whether they should remain together or be split for downstream research.
  4. Always write the meeting-level grounded.md.
  5. Only if multi-topic structure is strong and useful, also write

What it can do on your machine

Read from SKILL.md and the folder at commit 37e86c6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Meeting Grounding loads about 2.2k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 971 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gaotiexinqu/OneResearchClaw at commit 37e86c6, republished under its MIT licence (© gaotiexinqu). 971 words, ~2,170 tokens.

Download SKILL.mdSave it as .claude/skills/meeting-grounding/SKILL.md (or your agent's skills folder).
name
meeting-grounding
description
Convert a raw multi-speaker meeting transcript into structured meeting notes for downstream follow-up, with optional topic-level fan-out when the meeting contains multiple independent discussion blocks.

Meeting Grounding

Convert a raw meeting transcript into a structured meeting grounding output.

This skill is for meeting grounding, not a narrative recap. It should produce a stable intermediate note that is easy to read and easy for downstream skills to use.

This skill supports both:

  • single-topic meetings
  • multi-topic meetings where the transcript contains multiple discussion blocks that should be researched separately downstream

When to Use

Use this skill when:

  • the input is a raw meeting transcript
  • the transcript is noisy, repetitive, or multi-speaker
  • you need structured meeting notes before follow-up work

Do not use this skill when:

  • the input is already a structured memo or action-item list
  • the task is to write a polished final report
  • the input is not a meeting/discussion transcript

Input

A plain text meeting transcript.

The transcript may contain:

  • speaker labels
  • timestamps
  • interruptions
  • repeated phrases
  • incomplete sentences
  • filler language
  • partial or ambiguous decisions

Output

This skill always produces a meeting-level grounding note.

Required output

Always produce:

markdown
grounded.md

This file must follow the meeting grounding schema below.

Optional multi-topic outputs

If the meeting clearly contains multiple independent topic blocks that should be researched separately downstream, also produce:

text
topic_manifest.json
child_outputs/topic_01/grounded.md
child_outputs/topic_02/grounded.md
...

Do not create topic children unless there is strong evidence that the meeting contains multiple discussion blocks that should remain separate for downstream research, summary, review, and reporting.

Meeting-level grounded.md schema

Return markdown with exactly these sections. If a section has no reliable evidence, write None identified.

markdown
# Meeting Grounding

## 1. Meeting Topic
[2–4 sentence statement of the meeting’s main topic and purpose.
If the meeting genuinely contains multiple distinct topics, summarize the overall meeting scope at a higher level.]

## 2. Main Discussion Points
- [One bullet per major discussion block or major sub-topic]

## 3. Key Conclusions
- [Only items explicitly agreed, decided, confirmed, ruled out, or clearly deferred]
- [If none: None identified]

## 4. Constraints / Risks
- [Only constraints or risks explicitly stated, or strongly supported by repeated evidence]
- [If none: None identified]

## 5. Disagreements or Unresolved Issues
- [Preserve disagreements, uncertainty, and open questions]
- [If none: None identified]

## 6. Suggested Next Steps
- [Concrete follow-up actions or suggested follow-ups grounded in the transcript]
- [Do not invent owners, deadlines, or commitments]
- [If none: None identified]

## 7. Search Keywords

### Problem Keywords
- ...

### Method / Solution Keywords
- ...

### Domain / Constraint Keywords
- ...

Topic-level child grounded.md schema

If topic children are created, each child grounded note must also follow the same meeting-grounding schema exactly.

Do not invent a new topic schema.

Each child grounded note should cover only its own topic block, not the entire meeting.

Topic segmentation rule

Before writing outputs, first read the transcript holistically and decide whether the meeting is:

  • a single-topic meeting, or
  • a multi-topic meeting with multiple independent discussion blocks

A new topic block should be created only when the discussion has shifted to a different topic that would reasonably require separate downstream research.

This is a semantic judgment, not a simple surface-rule split.

Topic segmentation hard constraints (MUST follow)

Constraint 1: Same person, different work → Must split

When one speaker transitions from one work item to a completely different work item, create a new topic regardless of discussion duration or depth.

Indicators of different work (create new topic):

  • Switching from Project A to Project B
  • Switching from Experiment X to Experiment Y
  • Switching from Tool development to Paper writing
  • Any transition between distinct tasks with no direct dependency
Constraint 2: Different work → Never merge

Multiple work items discussed by the same or different speakers must NOT be merged into one topic, even if:

  • They are discussed consecutively
  • They share similar technical domain
  • They belong to the same team member
  • They are briefly mentioned together
Constraint 3: Topic identity rule

Each topic has exactly ONE identity:

  • One distinct work item
  • One primary contributor
  • One set of follow-up actions

If a discussion covers multiple work items, it is MULTIPLE topics.

Strong rule: do not split on weak signals alone

Do not split topics merely because of:

  • speaker changes
  • interruptions
  • Q&A turns
  • short digressions
  • brief examples
  • clarification exchanges
  • repeated restatements
  • agenda phrases without a real shift in discussion target

These are at most weak supporting signals.

What counts as a real topic shift

Only create a new topic block when there is strong evidence that the meeting has shifted to a different discussion unit, such as:

  • a different project, paper, system, workstream, or case
  • a different primary problem or decision target
  • a different set of follow-up research needs
  • a sustained new discussion block rather than a brief aside
Show full SKILL.md (366 more words)Show less

Topic segmentation workflow

  1. Read the full transcript first.
  2. Identify major discussion blocks.
  3. Decide whether they should remain together or be split for downstream research.
  4. Always write the meeting-level grounded.md.
  5. Only if multi-topic structure is strong and useful, also write:
    • topic_manifest.json
    • child_outputs/topic_xx/grounded.md

topic_manifest.json requirements

If multi-topic outputs are created, write a topic_manifest.json file that records:

  • source meeting identifier if available
  • segmentation mode
  • topic count
  • for each topic:
    • topic_id
    • topic_ground_id
    • title
    • start_turn
    • end_turn
    • start_time if recoverable
    • end_time if recoverable
    • confidence
    • boundary_reason
    • topic_summary
    • search_keywords
    • child_grounded_path

Instructions

  • Do not write a chronological recap of the meeting.
  • Do not invent facts, conclusions, owners, deadlines, or commitments.
  • Do not turn suggestions or strong opinions into final conclusions.
  • Do not add external knowledge, acronym expansions, years, or metadata not explicitly stated.
  • Remove greetings, filler, repeated acknowledgements, and low-signal chatter.
  • Keep disagreement and uncertainty if they matter.
  • Group related discussion into high-level sub-topics instead of speaker-by-speaker bullets.
  • Keep the output concise and structured.
  • In multi-topic meetings, preserve separation between independent discussion blocks.

Special Rules

Key Conclusions

Only include something here if it was clearly settled in the meeting. If it was only proposed, discussed, or favored, do not treat it as a conclusion.

Constraints / Risks

Only include constraints or risks that were explicitly stated or strongly evidenced. Do not infer hidden constraints from weak hints.

Suggested Next Steps

Only include follow-up actions that were explicitly discussed or strongly implied. Do not invent action owners, deadlines, or firm commitments.

Search Keywords

Use specific noun phrases that are useful for later search. Avoid generic terms such as:

  • project
  • meeting
  • update
  • issue
  • optimization
  • system

For multi-topic meetings, topic-specific search keywords should be attached to each topic in topic_manifest.json and reflected in each child grounded note.

Handling Difficult Cases

  • If the transcript is repetitive, summarize repeated points once.
  • If the transcript is incomplete, paraphrase only when meaning is clear.
  • If statements conflict, keep the conflict under unresolved issues.
  • If the meeting contains multiple independent discussion blocks, do not force them into one topic-specific note.
  • If the topic structure is genuinely unclear, prefer a single meeting-level grounding note and avoid over-segmentation.
  • For long transcripts, identify major semantic blocks first, then synthesize.

Example Invocation

/meeting-grounding

© gaotiexinqu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .cursor/skills/meeting-grounding of gaotiexinqu/OneResearchClaw.

Open the folder on GitHubat commit 37e86c6

Compare with similar skills

Meeting Grounding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Meeting Grounding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Meeting Grounding this skillgaotiexinqu/OneResearchClaw450—~2.2kAutomated safety check: PassMIT
Meeting Notesoutline/outline41k—~551Automated safety check: PassCustom licence
Management Talkthananon/9arm-skills3.2k—~3.2kAutomated safety check: PassNone
Challenge Baseline ModelAgibotTech/genie_sim1.4k—~2.4kAutomated safety check: PassCustom licence
Handwriting Stand Uplimin112/min-skill454—~2.5kAutomated safety check: PassNone
Daily Journalravila4/claude-adhd-skills158—~2.5kAutomated safety check: PassMIT

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More from gaotiexinqu/OneResearchClaw

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  • Document Grounding

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  • Meeting Audio Grounding

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    Convert a meeting audio file into a transcript bundle, then use meeting-grounding to produce structured meeting grounding outputs.

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  • Meeting Video Grounding

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Questions about Meeting Grounding

What does Meeting Grounding do?

Convert a raw multi-speaker meeting transcript into structured meeting notes for downstream follow-up, with optional topic-level fan-out when the meeting contains multiple independent discussion…. Meeting Grounding is an agent skill from gaotiexinqu/OneResearchClaw. Convert a raw multi-speaker meeting transcript into structured meeting notes for downstream follow-up, with optional topic-level fan-out when the meeting contains multiple independent discussion blocks.

When should I use Meeting Grounding?

Meeting Grounding fits situations like: tasks that involve Meeting notes and agendas.

How do I install Meeting Grounding in Claude Code?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill meeting-grounding -a claude-code`. Or copy the skill folder (.cursor/skills/meeting-grounding in gaotiexinqu/OneResearchClaw) into .claude/skills/meeting-grounding in your project. Claude Code loads it when a task matches its description.

How do I install Meeting Grounding in Codex?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill meeting-grounding -a codex`. Or copy the skill folder (.cursor/skills/meeting-grounding in gaotiexinqu/OneResearchClaw) into .agents/skills/meeting-grounding in your project. Codex loads it when a task matches its description.

Can I use Meeting Grounding in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gaotiexinqu/OneResearchClaw --skill meeting-grounding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meeting-grounding, .gemini/skills/meeting-grounding, .github/skills/meeting-grounding and .opencode/skills/meeting-grounding in your project.

What does Meeting Grounding need to run?

SKILL.md names no scripts, command-line tools or credentials: Meeting Grounding is instructions for the agent only.

Does Meeting Grounding access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Meeting Grounding safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Meeting Grounding use?

Meeting Grounding is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Meeting Grounding use?

About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Meeting Grounding?

Skills that share tags, products or a category with Meeting Grounding: Meeting Notes (outline/outline, 41k stars), Management Talk (thananon/9arm-skills, 3.2k stars), Challenge Baseline Model (AgibotTech/genie_sim, 1.4k stars) and Handwriting Stand Up (limin112/min-skill, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Meeting Grounding?

gaotiexinqu (a GitHub user) maintains it in gaotiexinqu/OneResearchClaw, which has 450 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on May 9, 2026.

Source: gaotiexinqu/OneResearchClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.