Film Creator
happycapy-ai/Happycapy-skills
AI-powered film creation assistant that transforms a single sentence or image into a complete 30-second film.
A skill your agent uses when the user wants to design, rewrite, refine, or vary emotional acting prompts for live-action AI video characters.
$ npx skills add kangarooking/director-skills --skill emotion-performance-director -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kangarooking/director-skills emotion-performance-director --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/kangarooking/director-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/emotion-performance-director .claude/skills/emotion-performance-director && 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 "emotion-performance-director" agent skill from https://github.com/kangarooking/director-skills/tree/main/emotion-performance-director into .claude/skills/emotion-performance-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emotion-performance-director", 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/kangarooking/director-skills/tree/main/emotion-performance-directorType 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 kangarooking/director-skills --skill emotion-performance-director -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kangarooking/director-skills emotion-performance-director --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/director-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/emotion-performance-director .agents/skills/emotion-performance-director && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "emotion-performance-director" agent skill from https://github.com/kangarooking/director-skills/tree/main/emotion-performance-director into .agents/skills/emotion-performance-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emotion-performance-director", 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 kangarooking/director-skills --skill emotion-performance-director -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kangarooking/director-skills emotion-performance-director --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/director-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/emotion-performance-director .cursor/skills/emotion-performance-director && 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 "emotion-performance-director" agent skill from https://github.com/kangarooking/director-skills/tree/main/emotion-performance-director into .cursor/skills/emotion-performance-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emotion-performance-director", 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/kangarooking/director-skills.git --path emotion-performance-director--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 kangarooking/director-skills --skill emotion-performance-director -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kangarooking/director-skills emotion-performance-director --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/director-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/emotion-performance-director .gemini/skills/emotion-performance-director && 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 "emotion-performance-director" agent skill from https://github.com/kangarooking/director-skills/tree/main/emotion-performance-director into .gemini/skills/emotion-performance-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emotion-performance-director", 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 kangarooking/director-skills emotion-performance-directorInstalls 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 kangarooking/director-skills --skill emotion-performance-director -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kangarooking/director-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/emotion-performance-director .github/skills/emotion-performance-director && 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 "emotion-performance-director" agent skill from https://github.com/kangarooking/director-skills/tree/main/emotion-performance-director into .github/skills/emotion-performance-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emotion-performance-director", 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 kangarooking/director-skills --skill emotion-performance-director -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kangarooking/director-skills emotion-performance-director --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/director-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/emotion-performance-director .opencode/skills/emotion-performance-director && 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 "emotion-performance-director" agent skill from https://github.com/kangarooking/director-skills/tree/main/emotion-performance-director into .opencode/skills/emotion-performance-director/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "emotion-performance-director", 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.
emotion-performance-directorA skill your agent uses when the user wants to design, rewrite, refine, or vary emotional acting prompts for live-action AI video characters.
Emotion Performance Director is an agent skill from kangarooking/director-skills. Use when the user wants to design, rewrite, refine, or vary emotional acting prompts for live-action AI video characters. Translate abstract emotions, dialogue, subtext, and scene context into concise, observable, temporally ordered micro-performance directions. Preserve the user's existing character, scene, camera, and dialogue requirements unless they explicitly ask to change them. Do not use for general story writing, shot design, action choreography, or visual asset design when emotional performance is not…
Its SKILL.md is about 2.4k 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, covering AI video generation and Creative writing and fiction. The repository describes itself as: 导演Skill:面向 AI 视频创作的开源 Agent Skills | Director Skills: Open-source Agent Skills for AI video creation. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 459deba. It shows what the files ask for, not the result of running them.
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.
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.
Emotion Performance Director loads about 2.4k tokens when it runs. Until then it costs about 140 tokens; SKILL.md has 1,285 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.
The full file from kangarooking/director-skills at commit 459deba, republished under its MIT licence (© kangarooking). 1,285 words, ~2,353 tokens.
.claude/skills/emotion-performance-director/SKILL.md (or your agent's skills folder).Turn abstract emotional intent into AI-video-executable human performance.
The skill does not merely label emotion. It describes how emotion becomes visible and audible through behavior over time.
Core formula:
Subtext → key performance signals → temporal order → afterbeat
Where performance signals are selected only as needed from:
gaze / breath / face / body / voice
Do not force every channel into every prompt.
Subtext drives performance. Infer what the character wants, resists, hides, or cannot fully control. Do not generate from the emotion label alone.
Describe observable behavior, not abstract emotion words. Prefer “her jaw tightens and her voice drops” over “she becomes very angry.”
Use the fewest signals that make the emotion legible. Normally select 2–4 dominant signals from gaze, breath, face, body, and voice. If removing a gesture does not weaken the performance, remove it.
Emotion unfolds in time. Organize the performance as:
Preserve one psychological cause. Gaze, breath, facial tension, posture, and voice should feel like different consequences of the same internal state, not a collection of unrelated acting tricks.
Default to naturalistic screen acting. Favor restrained micro-reactions, slight delays, incomplete gestures, and residual reactions after speech. Avoid theatrical overacting unless the user explicitly requests it.
Minimum usable input:
Optional context may include:
Do not require the user to provide structured parameters when natural-language context is sufficient.
If the user provides an existing video prompt, modify only the emotional-performance layer unless asked to change other elements.
Determine the immediate psychological intention behind the line.
Examples:
Use this internally to keep the performance coherent. Do not explain the subtext unless the user asks for analysis.
Choose only the channels that materially distinguish the intended emotion.
Gaze
Breath
Face
Body
Voice Describe only the useful vocal behavior, such as:
Do not over-specify every vocal parameter.
Use a simple three-beat structure.
Before the line Establish the emotional state through one or two preparatory signals.
During the line Specify the essential vocal delivery and any concurrent restrained physical action.
After the line Add one residual reaction when useful: held eye contact, looking away, a delayed tear, a small tremor, shoulders dropping, a swallowed breath, or stillness.
The afterbeat should feel like a consequence, not an extra dramatic flourish.
Before output, remove:
Rule:
If the emotion still reads after deleting an action, prefer deleting it.
By default, output one concise natural-language emotional performance prompt that can be inserted directly into an AI video prompt.
Do not expose intermediate analysis, channel labels, scoring systems, or psychological taxonomies unless the user explicitly requests them.
Write in chronological order and keep the character as the grammatical subject whenever possible.
Preferred shape:
[subtext-informed setup]. Before speaking, [1–2 observable signals]. Then, [voice + line + at most one concurrent physical signal]. After speaking, [one residual reaction].
Do not mechanically reproduce this wording; use natural prose.
These examples demonstrate how the same dialogue can produce distinct performances through different signal selection and timing. Treat them as references, not fixed templates.
She looks toward the other person with lively eyes, lightly presses her lips together as if suppressing a smile, and tilts her head slightly. One hand makes a small, casual shooing motion as she says with a soft laugh in her voice, “滚啊~”, letting the ending trail lazily. Only after speaking does she turn her face away a little, suddenly shy and unwilling to hold eye contact.
Her eyes are slightly wet and vulnerable. Her breath catches once, her lips press together, and her shoulders draw inward. She says “滚!” with a choked but forceful voice. After the word lands, she looks back at the other person from the side and holds the stare.
The brightness gradually leaves her eyes. She lets out one low breath, her shoulders loosen and sink, and her body shifts a small step backward. She says “滚。” quietly, clearly, and without dragging the word out. Afterward she does not add anything or move to recover the moment.
She fixes her gaze on the other person. Her jaw tightens, her breathing becomes heavier, and her upper body presses forward almost imperceptibly. Instead of shouting, she says “滚。” in a low, tight, hard voice with clean articulation. After speaking she keeps staring, while a small involuntary tremor passes through her tense body.
Her gaze begins to lose stability and her breathing turns uneven. She retreats slightly, and her hands fail to find a natural resting position. She forces out “滚……” through a tense voice carrying restrained sobbing, the ending unable to close cleanly. Only after the line does one clear tear finally run down her cheek.
She never fully looks at the other person. Her gaze remains hollow and unfocused, her breathing shallow but stable, and her shoulders hang slightly lower than before. She says “滚。” evenly and decisively, without emphasis or sobbing. As she speaks, one tear slips silently from her lower eyelid while the rest of her face barely reacts.
A successful output should pass four questions:
If the answer to question 4 is yes, remove it before returning the prompt.
© kangarooking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in emotion-performance-director of kangarooking/director-skills.
Open the folder on GitHubat commit 459deba
Emotion Performance Director 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 |
|---|---|---|---|---|---|---|
| Emotion Performance Director this skillkangarooking/director-skills | 175 | — | ~2.4k | Automated safety check: Pass | MIT | |
| Film Creatorhappycapy-ai/Happycapy-skills | 137 | — | ~3k | Automated safety check: Notes | MIT | |
| Novel Artsuihe1/short-drama-production | 180 | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | |
| Seedance Interview1370998960-del/https-github.com-Emily2040-seedance-2.0 | 241 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Storyboard Managerailabs-393/ai-labs-claude-skills | 454 | 1 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Seedance Brand Storybeshuaxian/higgsfield-seedance2-jineng | 950 | — | ~14k | Automated safety check: Pass | None |
happycapy-ai/Happycapy-skills
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Categories
A skill your agent uses when the user wants to design, rewrite, refine, or vary emotional acting prompts for live-action AI video characters. Emotion Performance Director is an agent skill from kangarooking/director-skills. Use when the user wants to design, rewrite, refine, or vary emotional acting prompts for live-action AI video characters.
Emotion Performance Director fits situations like: the user wants to design; vary emotional acting prompts for live-action AI video characters; general story writing; action choreography.
Run `npx skills add kangarooking/director-skills --skill emotion-performance-director -a claude-code`. Or copy the skill folder (emotion-performance-director in kangarooking/director-skills) into .claude/skills/emotion-performance-director in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kangarooking/director-skills --skill emotion-performance-director -a codex`. Or copy the skill folder (emotion-performance-director in kangarooking/director-skills) into .agents/skills/emotion-performance-director 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 kangarooking/director-skills --skill emotion-performance-director -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/emotion-performance-director, .gemini/skills/emotion-performance-director, .github/skills/emotion-performance-director and .opencode/skills/emotion-performance-director in your project.
SKILL.md names no scripts, command-line tools or credentials: Emotion Performance Director is instructions for the agent only.
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.
Emotion Performance Director is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.4k 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 Emotion Performance Director: Film Creator (happycapy-ai/Happycapy-skills, 137 stars), Novel Art (suihe1/short-drama-production, 180 stars), Seedance Interview (1370998960-del/https-github.com-Emily2040-seedance-2.0, 241 stars) and Storyboard Manager (ailabs-393/ai-labs-claude-skills, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
kangarooking (a GitHub user) maintains it in kangarooking/director-skills, which has 175 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 7, 2026.
Source: kangarooking/director-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.