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.
Locates and assembles source passages matching a semantic request.
$ npx skills add GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GML-MMGroup/ClipTalk cliptalk-content-extractor --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/GML-MMGroup/ClipTalk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cliptalk-content-extractor .claude/skills/cliptalk-content-extractor && 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 "cliptalk-content-extractor" agent skill from https://github.com/GML-MMGroup/ClipTalk/tree/main/skills/cliptalk-content-extractor into .claude/skills/cliptalk-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cliptalk-content-extractor", 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/GML-MMGroup/ClipTalk/tree/main/skills/cliptalk-content-extractorType 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 GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GML-MMGroup/ClipTalk cliptalk-content-extractor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GML-MMGroup/ClipTalk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cliptalk-content-extractor .agents/skills/cliptalk-content-extractor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cliptalk-content-extractor" agent skill from https://github.com/GML-MMGroup/ClipTalk/tree/main/skills/cliptalk-content-extractor into .agents/skills/cliptalk-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cliptalk-content-extractor", 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 GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GML-MMGroup/ClipTalk cliptalk-content-extractor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GML-MMGroup/ClipTalk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cliptalk-content-extractor .cursor/skills/cliptalk-content-extractor && 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 "cliptalk-content-extractor" agent skill from https://github.com/GML-MMGroup/ClipTalk/tree/main/skills/cliptalk-content-extractor into .cursor/skills/cliptalk-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cliptalk-content-extractor", 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/GML-MMGroup/ClipTalk.git --path skills/cliptalk-content-extractor--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 GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GML-MMGroup/ClipTalk cliptalk-content-extractor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GML-MMGroup/ClipTalk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cliptalk-content-extractor .gemini/skills/cliptalk-content-extractor && 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 "cliptalk-content-extractor" agent skill from https://github.com/GML-MMGroup/ClipTalk/tree/main/skills/cliptalk-content-extractor into .gemini/skills/cliptalk-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cliptalk-content-extractor", 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 GML-MMGroup/ClipTalk cliptalk-content-extractorInstalls 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 GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GML-MMGroup/ClipTalk.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cliptalk-content-extractor .github/skills/cliptalk-content-extractor && 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 "cliptalk-content-extractor" agent skill from https://github.com/GML-MMGroup/ClipTalk/tree/main/skills/cliptalk-content-extractor into .github/skills/cliptalk-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cliptalk-content-extractor", 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 GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GML-MMGroup/ClipTalk cliptalk-content-extractor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GML-MMGroup/ClipTalk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cliptalk-content-extractor .opencode/skills/cliptalk-content-extractor && 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 "cliptalk-content-extractor" agent skill from https://github.com/GML-MMGroup/ClipTalk/tree/main/skills/cliptalk-content-extractor into .opencode/skills/cliptalk-content-extractor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cliptalk-content-extractor", 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.
cliptalk-content-extractorLocates and assembles source passages matching a semantic request.
Cliptalk Content Extractor is an agent skill from GML-MMGroup/ClipTalk. Locates and assembles source passages matching a semantic request. Use for extracting explanations, topics, quotes, demonstrations, or other specifically described content.
Its SKILL.md is about 390 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 Media & Creative. The repository describes itself as: ClipTalk —— 通过对话完成视频剪辑的 AI Agent。说句话,片子就剪好了。ClipTalk — An AI agent that edits videos through conversation. Just say it, it's edited.
Read from SKILL.md and the folder at commit c2870c2. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
inspect_workspacesearch_contentreview_content_evidencepropose_timeline_editconfirm_timeline_editprepare_subtitle_reviewrender_review_previewFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cliptalk Content Extractor loads about 386 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 146 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 146 words (~386 tokens).
“Turn the requested subject and boundaries into a traceable content-selection plan.”
Just SKILL.md in skills/cliptalk-content-extractor of GML-MMGroup/ClipTalk.
Open the folder on GitHubat commit c2870c2
Cliptalk Content Extractor 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 |
|---|---|---|---|---|---|---|
| Cliptalk Content Extractor this skillGML-MMGroup/ClipTalk | 136 | — | ~386 | Automated safety check: Pass | Custom licence | |
| 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 | 59k | — | ~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 | 129k | — | ~2.1k | Automated safety check: Warn | MIT | |
| Brag Slim Launch Video Makerlatent-spaces/brag | 14k | 1 repos | ~1.9k | Automated safety check: Pass | MIT |
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.
heygen-com/hyperframes
Turns a weekly changelog markdown file into a branded HyperFrames video with voiceover, animated mock-UI scenes and captions, using fonts, background and scripts bundled in the skill.
anthropics/skills
Applies Anthropic's brand colors and fonts to artifacts such as PowerPoint slides, using fixed hex values for text and accents, Poppins headings and Lora body text.
harry0703/MoneyPrinterTurbo
Installs and runs MoneyPrinterTurbo to turn a topic or script into a finished short video with voice-over, subtitles, stock footage and music.
latent-spaces/brag
Builds a short, shareable launch video with music and motion from a project directory or a website URL, using only tools already on the machine.
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
GML-MMGroup/ClipTalk
Produces evidence-backed cover candidates and reviewable cover variants for a ClipTalk video.
GML-MMGroup/ClipTalk
Creates a subject-aware, time-varying crop track and a review-only social-format preview from an accepted ClipTalk cut.
GML-MMGroup/ClipTalk
Produces evidence-backed cover candidates and three reviewable local cover variants for a ClipTalk video.
GML-MMGroup/ClipTalk
Checks an existing ClipTalk render for delivery defects such as decode failures, duration or stream mismatch, black or frozen frames, long silence, and incorrect dialogue loudness.
GML-MMGroup/ClipTalk
Finds and assembles the strongest moments from a source video.
GML-MMGroup/ClipTalk
Produces a coherent interview edit by combining speaker discovery, topic selection, dialogue context, cleanup, subtitles, and preview.
Categories
Locates and assembles source passages matching a semantic request. Cliptalk Content Extractor is an agent skill from GML-MMGroup/ClipTalk. Locates and assembles source passages matching a semantic request.
Cliptalk Content Extractor fits situations like: extracting explanations; other specifically described content.
Run `npx skills add GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a claude-code`. Or copy the skill folder (skills/cliptalk-content-extractor in GML-MMGroup/ClipTalk) into .claude/skills/cliptalk-content-extractor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a codex`. Or copy the skill folder (skills/cliptalk-content-extractor in GML-MMGroup/ClipTalk) into .agents/skills/cliptalk-content-extractor in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GML-MMGroup/ClipTalk --skill cliptalk-content-extractor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cliptalk-content-extractor, .gemini/skills/cliptalk-content-extractor, .github/skills/cliptalk-content-extractor and .opencode/skills/cliptalk-content-extractor in your project.
SKILL.md names no scripts, command-line tools or credentials: Cliptalk Content Extractor is instructions for the agent only. Its frontmatter pre-approves these tools: inspect_workspace, search_content, review_content_evidence, propose_timeline_edit, confirm_timeline_edit, prepare_subtitle_review, render_review_preview.
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.
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.
Cliptalk Content Extractor has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 386 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cliptalk Content Extractor: Guizang Social Cards (op7418/guizang-social-card-skill, 7.4k stars), Weekly Changelog Video (heygen-com/hyperframes, 59k stars), Anthropic Brand Styling (anthropics/skills, 180k stars) and MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 129k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GML-MMGroup (a GitHub user) maintains it in GML-MMGroup/ClipTalk, which has 136 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 24, 2026.
Source: GML-MMGroup/ClipTalk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.