Guizang Social Cards
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
Convert a meeting video into an audio-first transcript bundle, then use meeting-grounding to produce structured meeting grounding outputs.
Install Meeting Video Grounding
$ npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gaotiexinqu/OneResearchClaw meeting-video-grounding --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/meeting-video-grounding .claude/skills/meeting-video-grounding && rm -rf skills-srcUse ~/.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/
Install the "meeting-video-grounding" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/meeting-video-grounding into .claude/skills/meeting-video-grounding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-video-grounding", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/meeting-video-groundingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gaotiexinqu/OneResearchClaw meeting-video-grounding --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/meeting-video-grounding .agents/skills/meeting-video-grounding && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meeting-video-grounding" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/meeting-video-grounding into .agents/skills/meeting-video-grounding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-video-grounding", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gaotiexinqu/OneResearchClaw meeting-video-grounding --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/meeting-video-grounding .cursor/skills/meeting-video-grounding && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "meeting-video-grounding" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/meeting-video-grounding into .cursor/skills/meeting-video-grounding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-video-grounding", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gaotiexinqu/OneResearchClaw.git --path .cursor/skills/meeting-video-grounding--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gaotiexinqu/OneResearchClaw meeting-video-grounding --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/meeting-video-grounding .gemini/skills/meeting-video-grounding && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "meeting-video-grounding" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/meeting-video-grounding into .gemini/skills/meeting-video-grounding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-video-grounding", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gaotiexinqu/OneResearchClaw meeting-video-groundingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/meeting-video-grounding .github/skills/meeting-video-grounding && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "meeting-video-grounding" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/meeting-video-grounding into .github/skills/meeting-video-grounding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-video-grounding", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gaotiexinqu/OneResearchClaw meeting-video-grounding --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/meeting-video-grounding .opencode/skills/meeting-video-grounding && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "meeting-video-grounding" agent skill from https://github.com/gaotiexinqu/OneResearchClaw/tree/main/.cursor/skills/meeting-video-grounding into .opencode/skills/meeting-video-grounding/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-video-grounding", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
meeting-video-grounding- GitHub stars
- 450
- Token cost
- ~1.2k tokens
- SKILL.md length
- 548 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
Convert a meeting video into an audio-first transcript bundle, then use meeting-grounding to produce structured meeting grounding outputs.
- Works in 3 steps: extracting audio from the video → reusing the existing audio_structuring… → reusing the existing meeting-grounding…
- Media & Creative work in your project
- SKILL.md covers When to Use, Input, Output Bundle and Important separation of…, plus 6 more sections
- Runs Python and Shell scripts from its folder
What it does
Meeting Video Grounding is an agent skill from gaotiexinqu/OneResearchClaw. Convert a meeting video into an audio-first transcript bundle, then use meeting-grounding to produce structured meeting grounding outputs.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/prepare_bundle.py` and `scripts/run.sh`).
It sits in Media & Creative. 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
- Media & Creative work in your project
Example prompts
- “/meeting-video-grounding”
Requirements
- Python 3
- A Bash shell
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- extracting audio from the video
- reusing the existing audio_structuring skill to produce meeting_transcript.txt
- reusing the existing meeting-grounding skill to turn that transcript into meeting grounding outputs
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
Ships 2 files in scripts/ (Python and Shell), which the agent can run.
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 Video Grounding loads about 1.2k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 548 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from gaotiexinqu/OneResearchClaw at commit 37e86c6, republished under its MIT licence (© gaotiexinqu). 548 words, ~1,204 tokens.
Download SKILL.mdSave it as
.claude/skills/meeting-video-grounding/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- meeting-video-grounding
- description
- Convert a meeting video into an audio-first transcript bundle, then use meeting-grounding to produce structured meeting grounding outputs.
Meeting Video Grounding
Convert a meeting video into structured meeting grounding outputs by:
- extracting audio from the video
- reusing the existing
audio_structuringskill to producemeeting_transcript.txt - reusing the existing
meeting-groundingskill to turn that transcript into meeting grounding outputs
This skill is for meeting videos where the primary information comes from speech. It is intentionally audio-first. It does not attempt full visual understanding of the video.
When to Use
Use this skill when:
- the input is a meeting video or discussion video
- the main information is expected to come from spoken content
- you want to reuse the existing audio transcription and meeting grounding workflow
Do not use this skill when:
- the task requires visual analysis of slides, demos, whiteboards, or screen content as first-class evidence
- the video has little or no speech
- the task is to write a polished final report directly from the raw video
Input
A single meeting video file.
Typical examples:
.mp4.mkv.mov.webm
Optional input:
transcription_language: language code such asenorzh
Output Bundle
For each input video, create one bundle directory:
data/grounded_notes/<ground_id>/Inside that bundle, the expected outputs are always:
<bundle_dir>/
├─ extracted.md
├─ extracted_meta.json
├─ grounded.md
├─ audio/
│ └─ meeting_audio.wav
└─ transcript/
└─ meeting_transcript.txtIf the meeting contains multiple independent topics that should be researched separately downstream, the bundle may also contain:
<bundle_dir>/
├─ topic_manifest.json
└─ child_outputs/
├─ topic_01/
│ └─ grounded.md
├─ topic_02/
│ └─ grounded.md
└─ ...Important separation of responsibilities
scripts/run.shis responsible for:- extracting audio from the input video
- calling the existing
audio_structuringskill - creating the bundle files:
audio/meeting_audio.wavtranscript/meeting_transcript.txtextracted.mdextracted_meta.json
- The agent is responsible for:
- reading the transcript bundle
- applying the existing
meeting-groundingskill - always writing the meeting-level:
grounded.md
- and, when appropriate, also writing:
topic_manifest.jsonchild_outputs/topic_xx/grounded.md
grounded.md must be a real grounding note.
It must not remain a placeholder scaffold.
Required Agent Workflow
- Run the existing
scripts/run.shentrypoint for this skill. - Confirm that the bundle exists and that these files are present:
extracted.mdextracted_meta.jsonaudio/meeting_audio.wavtranscript/meeting_transcript.txt
- Read
transcript/meeting_transcript.txtas the primary grounding evidence. - Reuse the existing
meeting-groundingskill on that transcript. - Always save the meeting-level structured note to
grounded.mdinside the same bundle directory. - If the transcript clearly contains multiple independent topics, also save:
topic_manifest.jsonchild_outputs/topic_xx/grounded.md
- Do not stop after confirming that the transcript bundle exists.
Show full SKILL.md (191 more words)Show less
Important scope rule
This skill currently treats meeting videos as audio-first inputs.
That means:
- the extracted transcript is the primary evidence for grounding
- absence of visual analysis is not, by itself, a failure
- do not invent slide content, visual details, or screen evidence that were not captured in the transcript
Output Format
The final grounded.md must follow the existing meeting-grounding schema exactly.
If topic children are created, each child grounded note must also follow the same meeting-grounding schema.
Do not invent a new schema here.
Instructions
- Do not implement a new ASR pipeline.
- Do not implement a new meeting summarizer.
- Do not directly summarize the raw video without first running the existing workflow.
- Reuse the existing
audio_structuringskill for transcription. - Reuse the existing
meeting-groundingskill for transcript grounding. - Treat the transcript as the primary evidence.
- Keep the workflow simple and stable.
Failure Handling
- If the input video file does not exist, fail clearly.
- If the video has no audio stream, fail clearly.
- If audio extraction fails, fail clearly.
- If
meeting_transcript.txtis not produced, fail clearly. - Do not pretend the task succeeded if only part of the workflow completed.
Example Invocation
/meeting-video-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
SKILL.md and 2 other files (scripts) in .cursor/skills/meeting-video-grounding of gaotiexinqu/OneResearchClaw.
- SKILL.md
- scripts/prepare_bundle.py
- scripts/run.sh
Open the folder on GitHubat commit 37e86c6
Compare with similar skills
Meeting Video 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Meeting Video Grounding this skillgaotiexinqu/OneResearchClaw | 450 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 | |
| Weekly Changelog Videoheygen-com/hyperframes | 60k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 130k | — | ~2.1k | Automated safety check: Warn | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Meeting Video Grounding
What does Meeting Video Grounding do?
Convert a meeting video into an audio-first transcript bundle, then use meeting-grounding to produce structured meeting grounding outputs. Meeting Video Grounding is an agent skill from gaotiexinqu/OneResearchClaw. Convert a meeting video into an audio-first transcript bundle, then use meeting-grounding to produce structured meeting grounding outputs.
When should I use Meeting Video Grounding?
Meeting Video Grounding fits situations like: media & Creative work in your project.
How do I install Meeting Video Grounding in Claude Code?
Run `npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a claude-code`. Or copy the skill folder (.cursor/skills/meeting-video-grounding in gaotiexinqu/OneResearchClaw) into .claude/skills/meeting-video-grounding in your project. Claude Code loads it when a task matches its description.
How do I install Meeting Video Grounding in Codex?
Run `npx skills add gaotiexinqu/OneResearchClaw --skill meeting-video-grounding -a codex`. Or copy the skill folder (.cursor/skills/meeting-video-grounding in gaotiexinqu/OneResearchClaw) into .agents/skills/meeting-video-grounding in your project. Codex loads it when a task matches its description.
Can I use Meeting Video 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-video-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-video-grounding, .gemini/skills/meeting-video-grounding, .github/skills/meeting-video-grounding and .opencode/skills/meeting-video-grounding in your project.
What does Meeting Video Grounding need to run?
Going by SKILL.md and its folder, Meeting Video Grounding needs Python and a shell for the scripts in its folder. Our summary lists: Python 3; A Bash shell.
Does Meeting Video 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 Video 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Meeting Video Grounding use?
Meeting Video 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 Video Grounding use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Video Grounding?
Skills that share tags, products or a category with Meeting Video Grounding: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 60k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 130k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meeting Video 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.