Podcast
zarazhangrui/personalized-podcast
Generate a podcast episode from content you provide. An agent skill from zarazhangrui/personalized-podcast.
口播 / talking-head 视频精剪 skill。适用于单人出镜口播、采访、自述、 课程讲解、播客切条等以 A-roll 说话为主的视频。Use when the user asks for “剪口播”, “删停顿”, “去废话”, “删语气词”, “jump cut”, “按字幕精剪”, “根据 transcript 粗剪”, “采访精剪”, “单人口播提速”, or “把这段…
Install Talking Head Editor
$ npx skills add linyqh/speclip-skills --skill talking-head-editor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linyqh/speclip-skills talking-head-editor --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/linyqh/speclip-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/talking-head-editor .claude/skills/talking-head-editor && 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 "talking-head-editor" agent skill from https://github.com/linyqh/speclip-skills/tree/main/talking-head-editor into .claude/skills/talking-head-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "talking-head-editor", 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/linyqh/speclip-skills/tree/main/talking-head-editorType 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 linyqh/speclip-skills --skill talking-head-editor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linyqh/speclip-skills talking-head-editor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linyqh/speclip-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/talking-head-editor .agents/skills/talking-head-editor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "talking-head-editor" agent skill from https://github.com/linyqh/speclip-skills/tree/main/talking-head-editor into .agents/skills/talking-head-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "talking-head-editor", 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 linyqh/speclip-skills --skill talking-head-editor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linyqh/speclip-skills talking-head-editor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linyqh/speclip-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/talking-head-editor .cursor/skills/talking-head-editor && 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 "talking-head-editor" agent skill from https://github.com/linyqh/speclip-skills/tree/main/talking-head-editor into .cursor/skills/talking-head-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "talking-head-editor", 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/linyqh/speclip-skills.git --path talking-head-editor--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 linyqh/speclip-skills --skill talking-head-editor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linyqh/speclip-skills talking-head-editor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linyqh/speclip-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/talking-head-editor .gemini/skills/talking-head-editor && 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 "talking-head-editor" agent skill from https://github.com/linyqh/speclip-skills/tree/main/talking-head-editor into .gemini/skills/talking-head-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "talking-head-editor", 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 linyqh/speclip-skills talking-head-editorInstalls 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 linyqh/speclip-skills --skill talking-head-editor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linyqh/speclip-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/talking-head-editor .github/skills/talking-head-editor && 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 "talking-head-editor" agent skill from https://github.com/linyqh/speclip-skills/tree/main/talking-head-editor into .github/skills/talking-head-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "talking-head-editor", 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 linyqh/speclip-skills --skill talking-head-editor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linyqh/speclip-skills talking-head-editor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linyqh/speclip-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/talking-head-editor .opencode/skills/talking-head-editor && 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 "talking-head-editor" agent skill from https://github.com/linyqh/speclip-skills/tree/main/talking-head-editor into .opencode/skills/talking-head-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "talking-head-editor", 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
talking-head-editor- GitHub stars
- 110
- Token cost
- ~869 tokens
- SKILL.md length
- 416 words
- Files
- 5 (incl. references)
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- None found
At a glance
口播 / talking-head 视频精剪 skill。适用于单人出镜口播、采访、自述、 课程讲解、播客切条等以 A-roll 说话为主的视频。Use when the user asks for “剪口播”, “删停顿”, “去废话”, “删语气词”, “jump cut”, “按字幕精剪”, “根据 transcript 粗剪”, “采访精剪”, “单人口播提速”, or “把这段…
- Works in 6 steps: Decide the pacing preset: clean,… → Read references/workflow.md for the… → Read references/edit-rules.md when… → …
- The user asks for 剪口播
- SKILL.md covers Scope, Required Inputs, Default Workflow and Pacing Presets, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Talking Head Editor is an agent skill from linyqh/speclip-skills. 口播 / talking-head 视频精剪 skill。适用于单人出镜口播、采访、自述、 课程讲解、播客切条等以 A-roll 说话为主的视频。Use when the user asks for “剪口播”, “删停顿”, “去废话”, “删语气词”, “jump cut”, “按字幕精剪”, “根据 transcript 粗剪”, “采访精剪”, “单人口播提速”, or “把这段 talking head 剪紧凑”.
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/edit-rules.md` and `references/file-formats.md`).
It sits in Media & Creative. It works with FFmpeg. The repository describes itself as: Speclip is an AI-driven video editing tool that automates complex editing workflows through conversational AI. It provides:.
When your agent uses it
- The user asks for 剪口播
- 根据 transcript 粗剪
- 把这段 talking head 剪紧凑
Example prompts
- “jump cut”
- “根据 transcript 粗剪”
- “单人口播提速”
- “/talking-head-editor”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Decide the pacing preset: clean, creator, or viral.
- Read references/workflow.md for the end-to-end editing sequence.
- Read references/edit-rules.md when deciding what to delete, what to keep, how much handle to preserve, and how aggressively to merge.
- Read references/file-formats.md when returning structured outputs like edit_decision.json, merged segment tables, or subtitle plans.
- Produce three layers of output
- If the user asks for commands, hand the merged segments to the FFmpeg workflow instead of improvising export parameters.
What it can do on your machine
Read from SKILL.md and the folder at commit cb51e23. 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.
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
Talking Head Editor loads about 869 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 416 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); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 416 words (~869 tokens).
“Use this skill to turn transcript-driven talking-head footage into a clean rough-cut plan. Prefer sentence-level transcript editing over scene-based montage logic. If the task also requires executable FFmpeg commands or delivery-safe export settings, read ../ffmpeg-best-practice/SKILL.md alongside this skill.”
- name
- talking-head-editor
Files
SKILL.md and 4 other files (references) in talking-head-editor of linyqh/speclip-skills.
- SKILL.md
- agents/openai.yaml
- references/edit-rules.md
- references/file-formats.md
- references/workflow.md
Open the folder on GitHubat commit cb51e23
Compare with similar skills
Talking Head Editor 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 |
|---|---|---|---|---|---|---|
| Talking Head Editor this skilllinyqh/speclip-skills | 110 | — | ~869 | Automated safety check: Pass | None | |
| Podcastzarazhangrui/personalized-podcast | 437 | — | ~2.3k | Automated safety check: Notes | None | |
| Book Sales VideoKianzzz/book-sales-video | 217 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Frames CLIviticci/frames-cli | 404 | — | ~6.1k | Automated safety check: Pass | MIT | |
| Video Assemblezenstory-ai/video-recap-skills | 559 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Extract Video Framesqdhenry/Claude-Command-Suite | 1.3k | — | ~1.6k | Automated safety check: Pass | None |
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Related
Works with
Categories
Questions about Talking Head Editor
What does Talking Head Editor do?
口播 / talking-head 视频精剪 skill。适用于单人出镜口播、采访、自述、 课程讲解、播客切条等以 A-roll 说话为主的视频。Use when the user asks for “剪口播”, “删停顿”, “去废话”, “删语气词”, “jump cut”, “按字幕精剪”, “根据 transcript 粗剪”, “采访精剪”, “单人口播提速”, or “把这段…. Talking Head Editor is an agent skill from linyqh/speclip-skills. 口播 / talking-head 视频精剪 skill。适用于单人出镜口播、采访、自述、 课程讲解、播客切条等以 A-roll 说话为主的视频。Use when the user asks for “剪口播”, “删停顿”, “去废话”, “删语气词”, “jump cut”, “按字幕精剪”, “根据 transcript 粗剪”, “采访精剪”, “单人口播提速”, or “把这段 talking head 剪紧凑”.
When should I use Talking Head Editor?
Talking Head Editor fits situations like: the user asks for 剪口播; 根据 transcript 粗剪; 把这段 talking head 剪紧凑.
How do I install Talking Head Editor in Claude Code?
Run `npx skills add linyqh/speclip-skills --skill talking-head-editor -a claude-code`. Or copy the skill folder (talking-head-editor in linyqh/speclip-skills) into .claude/skills/talking-head-editor in your project. Claude Code loads it when a task matches its description.
How do I install Talking Head Editor in Codex?
Run `npx skills add linyqh/speclip-skills --skill talking-head-editor -a codex`. Or copy the skill folder (talking-head-editor in linyqh/speclip-skills) into .agents/skills/talking-head-editor in your project. Codex loads it when a task matches its description.
Can I use Talking Head Editor 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 linyqh/speclip-skills --skill talking-head-editor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/talking-head-editor, .gemini/skills/talking-head-editor, .github/skills/talking-head-editor and .opencode/skills/talking-head-editor in your project.
What does Talking Head Editor need to run?
SKILL.md names no scripts, command-line tools or credentials: Talking Head Editor is instructions for the agent only.
Does Talking Head Editor 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 Talking Head Editor 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 Talking Head Editor use?
No licence was found for Talking Head Editor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Talking Head Editor use?
About 869 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.
What are the alternatives to Talking Head Editor?
Skills that share tags, products or a category with Talking Head Editor: Podcast (zarazhangrui/personalized-podcast, 437 stars), Book Sales Video (Kianzzz/book-sales-video, 217 stars), Frames CLI (viticci/frames-cli, 404 stars) and Video Assemble (zenstory-ai/video-recap-skills, 559 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Talking Head Editor?
linyqh (a GitHub user) maintains it in linyqh/speclip-skills, which has 110 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on April 12, 2026.
Source: linyqh/speclip-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.