HyperFrames Media Use
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
Transcribe video and audio files to SRT subtitles with speaker diarization using the Soniox (default) or AssemblyAI API.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard video-transcription --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/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/video-transcription/.pi/skills/video-transcription .claude/skills/video-transcription && 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 "video-transcription" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/video-transcription into .claude/skills/video-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-transcription", 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/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/video-transcriptionType 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 BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard video-transcription --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/video-transcription/.pi/skills/video-transcription .agents/skills/video-transcription && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-transcription" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/video-transcription into .agents/skills/video-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-transcription", 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 BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard video-transcription --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/video-transcription/.pi/skills/video-transcription .cursor/skills/video-transcription && 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 "video-transcription" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/video-transcription into .cursor/skills/video-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-transcription", 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/BlackBeltTechnology/pi-agent-dashboard.git --path packages/video-transcription/.pi/skills/video-transcription--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 BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard video-transcription --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/video-transcription/.pi/skills/video-transcription .gemini/skills/video-transcription && 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 "video-transcription" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/video-transcription into .gemini/skills/video-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-transcription", 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 BlackBeltTechnology/pi-agent-dashboard video-transcriptionInstalls 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 BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/video-transcription/.pi/skills/video-transcription .github/skills/video-transcription && 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 "video-transcription" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/video-transcription into .github/skills/video-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-transcription", 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 BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard video-transcription --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/video-transcription/.pi/skills/video-transcription .opencode/skills/video-transcription && 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 "video-transcription" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/video-transcription/.pi/skills/video-transcription into .opencode/skills/video-transcription/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-transcription", 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.
video-transcriptionTranscribe video and audio files to SRT subtitles with speaker diarization using the Soniox (default) or AssemblyAI API.
Video Transcription is an agent skill from BlackBeltTechnology/pi-agent-dashboard. Transcribe video and audio files to SRT subtitles with speaker diarization using the Soniox (default) or AssemblyAI API. Use when the user wants to transcribe meetings, videos, or audio files. Supports MKV, MP4, MOV, M4A, MP3. Triggers on "/transcribe", "transcribe my meetings", "transcribe videos in ~/Movies", or any request to convert audio/video to text.
Its SKILL.md is about 1.6k 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 Transcription. The repository describes itself as: Real-time web dashboard for pi coding-agent sessions. Multi-session view, live chat mirroring, integrated terminal, diff viewer, pi-flows execution, and mobile-first remote… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 7a2d171. 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 (its code samples are bash).
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 these keys or tokens, usually read from environment variables:
ASSEMBLY_AI_KEYSONIOX_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Transcription loads about 1.6k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 718 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 noted patterns worth knowing about, such as sudo or a known installer.
first, then an optional gitignored `.env` (current directory, then the skillAutomated 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 BlackBeltTechnology/pi-agent-dashboard at commit 7a2d171, republished under its MIT licence (© BlackBeltTechnology). 718 words, ~1,555 tokens.
.claude/skills/video-transcription/SKILL.md (or your agent's skills folder).Transcribe video and audio files in-place to SRT subtitle format with speaker
diarization. Backed by the pi-transcribe CLI (a TypeScript port of the
original standalone skill — no Python).
Two backends. Soniox is the default and writes <name>.srt. AssemblyAI is
opt-in via TRANSCRIBE_BACKEND=assemblyai, uses the EU endpoint, and writes
<name>.diarize.srt — a different suffix, so both can transcribe the same file
and you can compare diarization side by side.
TRANSCRIBE_BACKEND=both runs them in one pass: audio is extracted once and
fed to both APIs, producing <name>.srt and <name>.diarize.srt together. Use
this when the user asks to compare diarization or wants both transcripts.
Run the pi-transcribe bin, optionally passing a directory or file paths.
Output .mp3 (extracted audio) and .srt (subtitles) files are placed
alongside the source files.
pi-transcribe [directory | file ...]~/Movies (default).m4a export folder)Examples:
/transcribe — transcribe all untranscribed files in ~/Movies/transcribe /path/to/recordings — transcribe files in a specific directorypi-transcribe "~/Movies/May 28 at 4-04 PM.m4a" "~/Movies/Feb 2 at 5-05 PM.m4a" — transcribe specific filesTRANSCRIBE_BACKEND=assemblyai pi-transcribe ~/Movies — use AssemblyAI instead of Soniox (writes .diarize.srt, needs ASSEMBLY_AI_KEY)TRANSCRIBE_BACKEND=both pi-transcribe ~/Movies — run BOTH backends in one pass (writes .srt + .diarize.srt; needs both keys)TRANSCRIBE_BACKEND=assemblyai TRANSCRIBE_LANGUAGE=hu pi-transcribe file.m4a — pin Hungarian instead of auto-detectingMAX_CHUNK_HOURS=4 pi-transcribe ~/Movies — change the long-recording chunk size (default 4.5h Soniox / 9h AssemblyAI)TRANSCRIBE_CONCURRENCY=4 pi-transcribe ~/Movies — change how many files transcribe in parallel (default 8)Files transcribe through a bounded worker pool: up to TRANSCRIBE_CONCURRENCY
files (default 8) are in flight at once, overlapping the Soniox wait that
dominates each file's wall-clock time. Files are dispatched oldest-first but may
complete in any order. Set TRANSCRIBE_CONCURRENCY=1 for serial, deterministic
behavior. The value is clamped to 1–100 (100 = the Soniox pending-job cap).
pi-transcribe, passing the user's directory/file arguments (if any).srt)Each provider enforces a HARD per-request limit on audio duration,
independent of file size: Soniox 18000 s / 5 h, AssemblyAI 10 h. Recordings
longer than the limit are automatically split into MAX_CHUNK_HOURS-sized
chunks (default 4.5 h on Soniox, 9 h on AssemblyAI), transcribed separately, and
merged into a single SRT with correct absolute timestamps — full coverage, no
truncation. Override the chunk size with the MAX_CHUNK_HOURS env var.
Note: the limit is on duration, not megabytes — a long low-bitrate recording can be small in size yet still exceed the cap, so the guard probes duration via ffprobe.
pi.tools
manifest and resolved through the dashboard tool registry (PATH or
the static npm packages: ffmpeg-static for ffmpeg,
@ffprobe-installer/ffprobe for ffprobe — both optionalDependencies
here). When absent, video files are skipped with a warning; audio-only
files still process. pi-dashboard-ensure <package-root>/package.json
reports both.SONIOX_API_KEY or ASSEMBLY_AI_KEY,
both declared as env probes in pi.tools. Same resolver: environment
first, then an optional gitignored .env (current directory, then the skill
dir). Only the active backend's key is required. No secret ships in the
package; the bin fails fast with a clear message if the key is unresolved.| Variable | Default | Meaning |
|---|---|---|
TRANSCRIBE_BACKEND | soniox | soniox, assemblyai, both/all, or a comma list. Unknown values fall back to soniox. |
SONIOX_API_KEY | (required for soniox) | Soniox API key. |
ASSEMBLY_AI_KEY | (required for assemblyai) | AssemblyAI API key. |
MAX_CHUNK_HOURS | 4.5 / 9 | Chunk size for long recordings; default follows the backend's duration cap. |
MAX_AUDIO_MB | 200 | Reserved size guard; 0 disables. |
TRANSCRIBE_CONCURRENCY | 8 | Files transcribed in parallel. Clamped to 1–100; 1 = serial. |
TRANSCRIBE_SRT_SUFFIX | per backend | Override the sibling subtitle suffix (.srt / .diarize.srt). |
TRANSCRIBE_LANGUAGE | (unset) | AssemblyAI only: pin a language (e.g. hu) instead of auto-detecting. |
TRANSCRIBE_MAX_SPEAKERS | (unset) | AssemblyAI only: hard cap on speaker labels. |
EU endpoint (api.eu.assemblyai.com) for data residency. Runs
speech_models: ["universal-3-5-pro", "universal-2"] with speaker_labels and
language_detection on: universal-3-5-pro natively covers 18 languages and
anything outside that set (Hungarian included) automatically falls back to
universal-2 (99 languages). Speaker letters A/B/C are normalised to
Speaker 1/Speaker 2/Speaker 3, so the SRT format is identical to Soniox's.
© BlackBeltTechnology, 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 packages/video-transcription/.pi/skills/video-transcription of BlackBeltTechnology/pi-agent-dashboard.
Open the folder on GitHubat commit 7a2d171
Video Transcription 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 |
|---|---|---|---|---|---|---|
| Video Transcription this skillBlackBeltTechnology/pi-agent-dashboard | 315 | — | ~1.6k | Automated safety check: Notes | MIT | |
| HyperFrames Media Useheygen-com/hyperframes | 60k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.6k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Edu Chem Videowy51ai/edulab | 1.4k | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | |
| Transcription Memory ReconstructionNxcoreAI/EverRoom | 3k | — | ~714 | Automated safety check: Pass | Custom licence | |
| Edu Math Videowy51ai/edulab | 1.4k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 |
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
chengyi-ai/native-subtitle-quote-image
将本地视频或用户有权处理的在线视频,经过来源获取、文字稿定位、选题选句、精确取帧、紧凑裁切、拼图和逐张质检,制作成 3:4 或保留画面原比例的视频字幕长图。支持两种明确分开的输出:保留画面内已烧录字幕的原生字幕模式,以及把已审核的时间点与台词绘制到真实视频帧上的脚本字幕模式。用户要求原生字幕截图、字幕帧拼图、YouTube…
wy51ai/edulab
A skill your agent uses when asked to make an explainer / walkthrough video (讲解视频、解题视频、例题精讲、微课) for a chemistry problem (化学题: 氧化还原配平 双线桥 电子守恒, 物质的量计算, 化学平衡 三段式 平衡常数 转化率 反应速率, 离子反应, 电化学, 溶液 滴定…
NxcoreAI/EverRoom
Reconstruct a complete, searchable memory from an untrusted meeting or conversation transcript.
wy51ai/edulab
A skill your agent uses when asked to make an explainer / walkthrough video (讲解视频、解题视频、例题精讲、微课) for a math problem (数学题, geometry, algebra, functions, motion/行程 problems), from a problem screenshot…
JetBrains/skills
Transcribe audio files to text with optional diarization and known-speaker hints.
BlackBeltTechnology/pi-agent-dashboard
Browser automation via the agent-browser CLI. An agent skill from BlackBeltTechnology/pi-agent-dashboard.
BlackBeltTechnology/pi-agent-dashboard
Diagnose failed GitHub Actions runs for pi-agent-dashboard: the 11-file workflow taxonomy, affected-test selection, the release pipeline, known failure modes, and how to read gh run logs and…
BlackBeltTechnology/pi-agent-dashboard
Diagnose problems in the running pi-agent-dashboard system: server.log, /api/health, bridge WebSocket connectivity, vitest triage, known-issue FAQ entries.
BlackBeltTechnology/pi-agent-dashboard
Disciplined implementation in pi-agent-dashboard: the rebuild matrix (extension→reload, server→restart, client→build+restart, openspec-apply→full rebuild) plus the project's code discipline rules.
BlackBeltTechnology/pi-agent-dashboard
Monitor and control the pi-dashboard server. An agent skill from BlackBeltTechnology/pi-agent-dashboard.
BlackBeltTechnology/pi-agent-dashboard
Turn a pi session into a Markdown "how-we-did-it" collaboration guideline: reads the session's JSONL transcript and synthesizes a reusable playbook of which prompts worked, what had to be steered…
Categories
Transcribe video and audio files to SRT subtitles with speaker diarization using the Soniox (default) or AssemblyAI API. Video Transcription is an agent skill from BlackBeltTechnology/pi-agent-dashboard. Transcribe video and audio files to SRT subtitles with speaker diarization using the Soniox (default) or AssemblyAI API.
Video Transcription fits situations like: the user wants to transcribe meetings; transcribe my meetings; transcribe videos in ~/Movies; any request to convert audio/video to text.
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a claude-code`. Or copy the skill folder (packages/video-transcription/.pi/skills/video-transcription in BlackBeltTechnology/pi-agent-dashboard) into .claude/skills/video-transcription in your project. Claude Code loads it when a task matches its description.
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a codex`. Or copy the skill folder (packages/video-transcription/.pi/skills/video-transcription in BlackBeltTechnology/pi-agent-dashboard) into .agents/skills/video-transcription 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 BlackBeltTechnology/pi-agent-dashboard --skill video-transcription -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-transcription, .gemini/skills/video-transcription, .github/skills/video-transcription and .opencode/skills/video-transcription in your project.
Going by SKILL.md and its folder, Video Transcription needs credentials named ASSEMBLY_AI_KEY and SONIOX_API_KEY. Our summary lists: A credential in ASSEMBLY_AI_KEY; A credential in SONIOX_API_KEY.
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 notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Video Transcription is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.2k 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 Video Transcription: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Edu Chem Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
BlackBeltTechnology (a GitHub organization) maintains it in BlackBeltTechnology/pi-agent-dashboard, which has 315 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 10, 2026.
Source: BlackBeltTechnology/pi-agent-dashboard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.