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.
Design, run, or repair a resumable source-to-wiki publishing workflow across recordings, interviews, articles, documentation, papers or social-post corpora, producing source readers…
Install Media To Wiki Pipeline
$ npx skills add swyxio/skills --skill media-to-wiki-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install swyxio/skills media-to-wiki-pipeline --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/swyxio/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/media-to-wiki-pipeline .claude/skills/media-to-wiki-pipeline && 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 "media-to-wiki-pipeline" agent skill from https://github.com/swyxio/skills/tree/main/media-to-wiki-pipeline into .claude/skills/media-to-wiki-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-to-wiki-pipeline", 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/swyxio/skills/tree/main/media-to-wiki-pipelineType 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 swyxio/skills --skill media-to-wiki-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install swyxio/skills media-to-wiki-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/media-to-wiki-pipeline .agents/skills/media-to-wiki-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "media-to-wiki-pipeline" agent skill from https://github.com/swyxio/skills/tree/main/media-to-wiki-pipeline into .agents/skills/media-to-wiki-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-to-wiki-pipeline", 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 swyxio/skills --skill media-to-wiki-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install swyxio/skills media-to-wiki-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/media-to-wiki-pipeline .cursor/skills/media-to-wiki-pipeline && 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 "media-to-wiki-pipeline" agent skill from https://github.com/swyxio/skills/tree/main/media-to-wiki-pipeline into .cursor/skills/media-to-wiki-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-to-wiki-pipeline", 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/swyxio/skills.git --path media-to-wiki-pipeline--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 swyxio/skills --skill media-to-wiki-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install swyxio/skills media-to-wiki-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/media-to-wiki-pipeline .gemini/skills/media-to-wiki-pipeline && 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 "media-to-wiki-pipeline" agent skill from https://github.com/swyxio/skills/tree/main/media-to-wiki-pipeline into .gemini/skills/media-to-wiki-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-to-wiki-pipeline", 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 swyxio/skills media-to-wiki-pipelineInstalls 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 swyxio/skills --skill media-to-wiki-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/media-to-wiki-pipeline .github/skills/media-to-wiki-pipeline && 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 "media-to-wiki-pipeline" agent skill from https://github.com/swyxio/skills/tree/main/media-to-wiki-pipeline into .github/skills/media-to-wiki-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-to-wiki-pipeline", 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 swyxio/skills --skill media-to-wiki-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install swyxio/skills media-to-wiki-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/swyxio/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/media-to-wiki-pipeline .opencode/skills/media-to-wiki-pipeline && 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 "media-to-wiki-pipeline" agent skill from https://github.com/swyxio/skills/tree/main/media-to-wiki-pipeline into .opencode/skills/media-to-wiki-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-to-wiki-pipeline", 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
media-to-wiki-pipeline- GitHub stars
- 176
- Token cost
- ~1.1k tokens
- SKILL.md length
- 520 words
- Files
- 4 (incl. references)
- Skills in repo
- 89
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design, run, or repair a resumable source-to-wiki publishing workflow across recordings, interviews, articles, documentation, papers or social-post corpora, producing source readers…
- Connected corpus ingestion
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Generation and subset refreshes
- Not isolated transcription
What it does
Media To Wiki Pipeline is an agent skill from swyxio/skills. Design, run, or repair a resumable source-to-wiki publishing workflow across recordings, interviews, articles, documentation, papers or social-post corpora, producing source readers, person/organization profiles and topic pages. Use for connected corpus ingestion, generation and subset refreshes, not isolated transcription or single-page editing.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/page-contracts.md`, `references/pipeline-contract.md` and `references/source-adapters.md`).
It sits in Media & Creative, covering Social media posts and Transcription. The repository describes itself as: Agent skills for Claude Code and other AI agents. The licence is MIT.
When your agent uses it
- Connected corpus ingestion
- Generation and subset refreshes
- Not isolated transcription
- Single-page editing
Example prompts
- “/media-to-wiki-pipeline”
What it can do on your machine
Read from SKILL.md and the folder at commit 038ef34. 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
Media To Wiki Pipeline loads about 1.1k tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 93 tokens; SKILL.md has 520 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
The full file from swyxio/skills at commit 038ef34, republished under its MIT licence (© swyxio). 520 words, ~1,117 tokens.
Download SKILL.mdSave it as
.claude/skills/media-to-wiki-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- media-to-wiki-pipeline
- description
- Design, run, or repair a resumable source-to-wiki publishing workflow across recordings, interviews, articles, documentation, papers or social-post corpora, producing source readers, person/organization profiles and topic pages. Use for connected corpus ingestion, generation and subset refreshes, not isolated transcription or single-page editing.
Media to wiki pipeline
Preserve accepted content, update affected entities, publish once, and verify the release at the required coverage. Use this existing workflow for written and mixed-media corpora too; neither a conference archive nor a particular site's output is a prerequisite.
Read the references relevant to the task:
- Page contracts and quality before selecting page types, drafting or accepting a new corpus. It supplies portable editorial defaults, including organization and topic pages; examples illustrate quality rather than substitute for these criteria.
- Source adapters when selecting or normalizing sources. Recording clocks and media recovery apply only to recorded input.
- Stage and release contracts when implementing, operating, resuming or refreshing a corpus. Map actual project drivers before repairing them; intended behavior is not proof of implementation.
Decisions that govern progression
- Freeze source IDs and versions per batch or subset refresh; queue later arrivals separately.
- Resolve identities early, then let source readers, person, organization and topic work proceed independently where their dependencies permit.
- For visual person/organization pages, qualify portraits or official identity images alongside writing, including cached accepted profiles. Preserve image provenance through assembly and loaders; see the image contract in the stage and release reference.
- Overlap ready-item rendering and QA with unfinished source/profile work; retain the user’s chosen publication batching.
- Enroll supported identities and relations early; public page readiness is a separate content decision. Brief supported writing is valid; placeholder identity pages are not complete profiles.
- Keep dated source/event roles separate from independently sourced current employment. Research disputed identity within budget; do not guess a canonical link.
- Keep accepted writing visible while replacements are reviewed. Holds attach to disputed fields or replacements; correct demonstrated falsehoods or privacy defects locally.
- Reuse accepted stages whose relevant inputs remain valid. Select a corpus subset explicitly and expand only to its affected dependents, not unrelated pages.
- Recover from existing evidence first. Targeted paid transcription requires an authorized provider and available budget; written sources need no ASR.
- Use one per-entity ledger with receipts as evidence. Retain interrupted work and reconcile ambiguous deliveries before retrying.
- Completion requires settled required generation/publication and live checks at the requested coverage. A subset's completion is not whole-corpus completion; sampled verification is not individual proof or full acoustic certification.
Show full SKILL.md (153 more words)Show less
Use the project's existing canonical path with the portable page contracts as defaults. Batch scripts select entities and supply evidence, not alternate narrow writing prompts. Projects specialize audience, schemas, presentation and release mechanics without replacing source fidelity or editorial usefulness. Archive guides are a distinct requested artifact, not the default organization profile.
Pair research-grounded-writing and swyx-writing for evidence and prose, video-talk-to-essay for recorded-source readers, person-profile-writing for biographies, and smart-entity-resolution only for ambiguous identities. Do not copy project-specific routes, models, paragraph counts or examples into unrelated corpora.
Use configured models, concurrency, providers and spending limits. Stream useful ready jobs; concurrency ceilings are not quotas. This skill does not authorize additional providers, spending, cloud services or publication.
Stop when the frozen scope has settled outcomes and required checks pass. Report exact completed and unresolved counts; continue independent work when one entity is blocked. Optional polish or repeated fruitless recovery should not prolong the critical path.
© swyxio, 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 3 other files (references) in media-to-wiki-pipeline of swyxio/skills.
- SKILL.md
- references/page-contracts.md
- references/pipeline-contract.md
- references/source-adapters.md
Open the folder on GitHubat commit 038ef34
Compare with similar skills
Media To Wiki Pipeline 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 |
|---|---|---|---|---|---|---|
| Media To Wiki Pipeline this skillswyxio/skills | 176 | — | ~1.1k | Automated safety check: Pass | 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 |
Similar skills
Native Subtitle Quote Image
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…
Edu Chem Video
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…
Transcription Memory Reconstruction
NxcoreAI/EverRoom
Reconstruct a complete, searchable memory from an untrusted meeting or conversation transcript.
Edu Math Video
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…
- Official
Transcribe
JetBrains/skills
Transcribe audio files to text with optional diarization and known-speaker hints.
More from swyxio/skills
All 89 skills in this repoProgrammatic Agents
swyxio/skills
Run a selected coding-agent CLI programmatically, with latency, error, usage, cost, and trace logging.
Reserved Handle Policy
swyxio/skills
Design, implement, audit, or refresh protected username and handle namespaces for public products.
New Mac Setup
swyxio/skills
Fully automated new Mac setup for fullstack web developers and AI engineers.
Youtube API
swyxio/skills
Manage YouTube videos programmatically via the YouTube Data API v3 — upload video files, upload custom thumbnails, update video metadata (titles, descriptions, tags), and query video/channel info…
Youtube Studio Batch Upload
swyxio/skills
Batch YouTube Studio upload workflow for videos sourced from Airtable, Google Drive, Loom, YouTube, or local files.
Deep Trajectory Analysis
swyxio/skills
Reconstruct and visually analyze paired agent, game, or policy trajectories to determine whether changed actions produced their intended effects.
Related
Categories
Questions about Media To Wiki Pipeline
What does Media To Wiki Pipeline do?
Design, run, or repair a resumable source-to-wiki publishing workflow across recordings, interviews, articles, documentation, papers or social-post corpora, producing source readers…. Media To Wiki Pipeline is an agent skill from swyxio/skills. Design, run, or repair a resumable source-to-wiki publishing workflow across recordings, interviews, articles, documentation, papers or social-post corpora, producing source readers, person/organization profiles and topic pages.
When should I use Media To Wiki Pipeline?
Media To Wiki Pipeline fits situations like: connected corpus ingestion; generation and subset refreshes; not isolated transcription; single-page editing.
How do I install Media To Wiki Pipeline in Claude Code?
Run `npx skills add swyxio/skills --skill media-to-wiki-pipeline -a claude-code`. Or copy the skill folder (media-to-wiki-pipeline in swyxio/skills) into .claude/skills/media-to-wiki-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Media To Wiki Pipeline in Codex?
Run `npx skills add swyxio/skills --skill media-to-wiki-pipeline -a codex`. Or copy the skill folder (media-to-wiki-pipeline in swyxio/skills) into .agents/skills/media-to-wiki-pipeline in your project. Codex loads it when a task matches its description.
Can I use Media To Wiki Pipeline 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 swyxio/skills --skill media-to-wiki-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/media-to-wiki-pipeline, .gemini/skills/media-to-wiki-pipeline, .github/skills/media-to-wiki-pipeline and .opencode/skills/media-to-wiki-pipeline in your project.
What does Media To Wiki Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Media To Wiki Pipeline is instructions for the agent only.
Does Media To Wiki Pipeline 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 Media To Wiki Pipeline 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 Media To Wiki Pipeline use?
Media To Wiki Pipeline 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 Media To Wiki Pipeline use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 6.4k tokens, read only when the agent opens those files.
What are the alternatives to Media To Wiki Pipeline?
Skills that share tags, products or a category with Media To Wiki Pipeline: 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.
Who maintains Media To Wiki Pipeline?
swyxio (a GitHub user) maintains it in swyxio/skills, which has 176 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 5, 2026.
Source: swyxio/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.