remotion-video
Use when the user wants to generate a rendered promotional video (not just a script) for a PR, feature, or product change — produces a Remotion project, iterates with preview, and outputs mp4 + poster for X/LinkedIn/social.
Asset-Profil
Coding- und Entwickler-Agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Szenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent-Fit
Claude Code + Browser agents + CLI
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add AlemTuzlak/skills --skill remotion-video
Wartung
Aktuell
3 Tage seit dem letzten Push
Risiko
Prüfung nötig
Lizenz ist unklar
GitHub-Qualität
39
57/100 Qualität · 62/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Lizenz ist unklar · Dependency or permission surface needs review
Agent-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
39 GitHub-Stars
Repository-Aktivität
39 Stars und 0 Forks
Wartung
3 Tage seit dem letzten Push
Lizenz
Unbekannt
Installieren
npx skills add AlemTuzlak/skills --skill remotion-video
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
shell or command execution, filesystem or document access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Starker README/SKILL.md-Kontext
Risikoübersicht
Vor Produktion prüfen
- Repository license is 'Unknown' — this may be a compliance concern for redistribution or reuse.
- Financial research output is not financial advice; require human review before any live investment decision.
- Lizenz ist unklar
- Low GitHub adoption signal
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist unklar
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add AlemTuzlak/skills --skill remotion-video
- Richtlinie
- Prüfen
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 54/100
- Audit
- 70/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add AlemTuzlak/skills --skill remotion-videoNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is 'Unknown' — this may be a compliance concern for redistribution or reuse.
- Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
Alternative
Frontend Design
170.9K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
Taste Skill: Anti-Slop Frontend
79.0K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
Canvas Design
170.9K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
Anthropic Brand Guidelines
170.9K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent-Sicherheit v2
34/100 · Automatische Installation vermeiden
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Hoch
Shell- oder Befehlsausführung
Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.
Mittel
Browser automation
Skill may drive a browser or interact with web pages.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
- Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
- Lizenz ist unklar
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install alemtuzlak-remotion-videoAgent-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/api/agent/resolve?task=Use%20remotion-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20remotion-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/alemtuzlak-remotion-video/install
Agent sollte prüfen
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Prompt kopieren
Task: Use remotion-video in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20remotion-video%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alemtuzlak-remotion-video/install
Install command: npx skills add AlemTuzlak/skills --skill remotion-video
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/alemtuzlak-remotion-video/install
LLM-Textformat
/api/skills/alemtuzlak-remotion-video/install?format=text
Alternativen finden
/api/skills/search?q=remotion-video&limit=3
Agent-Prompt
Use remotion-video for this task. Review https://www.openagentskill.com/api/skills/alemtuzlak-remotion-video/install, then install with: npx skills add AlemTuzlak/skills --skill remotion-videoRegistry-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/alemtuzlak-remotion-video
LLM-Text
/api/registry/manifest/alemtuzlak-remotion-video?format=text
Installationsalias
/api/registry/install/alemtuzlak-remotion-video
Empfehlen
/api/registry/recommend?task=Use%20remotion-video%20in%20an%20agent%20workflow&limit=3
Agent-Fit
GitHub automation
Use-Case-Tags
Plattformen
Claude Code, Browser agents
Audit-Bericht
Prüfung nötig · 70/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Needs validation for GitHub automation
Do a manual repository review before adding this to an agent workflow.
Rolle im Stack
Validierung nötig
Primäre Eignung
GitHub automation
Vertrauenslabel
Manuelle Prüfung nötig
Installationspfad
Befehl bereit
Verwenden wenn
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
Evidenz
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 57/100
- 3 OpenAgentSkill-Interaktionen
zuerst prüfen
- Low GitHub adoption signal
- Repository license is 'Unknown' — this may be a compliance concern for redistribution or reuse.
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine GitHub automation-Aufgabe vollständig aus.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Vertrauensprofil
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub-Akzeptanz
Prüfen39 GitHub-Stars
Star-/Fork-Aktivität
Prüfen39 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden3 Tage seit dem letzten Push
Lizenzklarheit
PrüfenUnbekannt
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- Repository license is 'Unknown' — this may be a compliance concern for redistribution or reuse.
- Financial research output is not financial advice; require human review before any live investment decision.
- Lizenz ist unklar
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 39 GitHub stars
- Stars/forks activity: 39 stars, 0 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, network or browser surface
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Choose a stronger alternative or inspect the source manually before any install attempt.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Publish consistently
Content automation
I need my agent to turn research and product updates into useful content drafts.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternativen-Shortlist
Vor Installation vergleichen
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Übersicht
--- name: remotion-video description: Use when the user wants to generate a rendered promotional video (not just a script) for a PR, feature, or product change — produces a Remotion project, iterates with preview, and outputs mp4 + poster for X/LinkedIn/social. ---
# Remotion Video
Turn a PR into a rendered short-form promo video with a hook, code moments, and CTA, using Remotion. Iterate with live preview in Remotion Studio, then render `video.mp4` and `poster.jpg` for X/LinkedIn/social.
Unlike `/video-script` (which produces a textual script), this skill produces the actual video file.
## Triggers
Invoke when the user says: "make a video for this PR", "remotion video", "render a promo video", "video for X/LinkedIn", or when selected from `/marketing-pipeline`.
## Process Flow
``` Resolve input → Phase 1: Discovery → Phase 2: Configuration → Phase 3: Narrative planning → Phase 4: Scaffold → Phase 5: First draft + iterate → Phase 6: Render → Phase 7: Cleanup ```
Phases 1, 3, 5, and 7 have explicit approval gates. Phase 2 is an interactive Q&A. Phase 5 is a freeform iteration loop that can run many rounds.
## "Use Sane Defaults" / "Don't Ask Questions" — What It Does and Doesn't Override
When the user invokes the skill with phrasing like *"use sane defaults"*, *"don't ask questions"*, *"non-interactive"*, *"just ship it"*, or any equivalent — interpret it precisely:
**It DOES override (skip the prompt, pick the default):**
- Q2.1 duration → derive from scope using the ladder in Q2.1 (still in the 15–60s window); pick the midpoint of the matched scope band and proceed without asking - Q2.2 aspect ratio → 16:9 landscape - Q2.3 project location → `marketing/<feature-slug>/remotion/` - Q2.4 brand *confirmation* (the "use these / customize / provide your own?" question) - Phase 1.4 scope confirmation - Phase 3.0 motif confirmation - Phase 3.1 story-pattern confirmation - Phase 3.3 scene-plan approval - Phase 5 freeform iteration loop (the "what would you like to change?" prompt)
**It does NOT override (must always run regardless):**
- Brand color/font/logo **scanning** (Q2.4 detection — see HARD-GATE in Q2.4). Hardcoding colors from training-data assumptions about a project is a forbidden shortcut. - Phase 5 **preview** (Remotion Studio must start and the studio URL must be opened in the browser before the render runs). Even in fully unattended mode, the user can interrupt; the agent must not pre-decide for them. - Phase 6 pre-render audits (storytelling, hook rules, motif presence, pacing variance, value-prop timing, contrast). These exist to prevent shipping a generic video. - Phase 7 cleanup question (the user owns project disposition).
If you're tempted to skip a HARD-GATE because the user "said no questions" — re-read this section. The user said no *questions*, not no *gates*.
## Input Resolution
Resolve the argument (if provided) in this order:
1. Path to a marketing brief (`.md` containing "Executive Summary" or "Key Messages") → **marketing brief** 2. Path to a blog post (`.md` with blog post structure) → **blog post** 3. Path to a changelog → **changelog** 4. GitHub PR URL or `#\d+` pattern → **PR** 5. Matches `<ref>..<ref>` or `<ref>...<ref>` (alphanumeric + `/`, `_`, `.`, `-` on each side) → **git ref range** 6. Resolves to an existing file/directory → **codebase feature** 7. Otherwise → **freeform text**
If no argument is provided, ask: "What should the video be about? You can provide a PR URL/number, marketing brief, blog post, changelog, git ref range, file/directory path, or just describe the feature."
When invoked from the pipeline with a PR *and* upstream marketing-brief/blog-post paths, read both: PR for technical accuracy, upstream content for positioning/tone.
(Detailed phase specs begin below — see Phase 1.)
## Phase 1: Discovery
### Step 1.1 — Check `remotion-best-practices` availability
Attempt to invoke the `remotion-best-practices` skill via the Skill tool. If unavailable, present:
> "The `remotion-best-practices` skill isn't installed. Options: > a) proceed with baseline Remotion knowledge (quality may be reduced) > b) wait while you install it > c) cancel"
If the user picks (a), emit a warning in the final summary noting reduced quality.
### Step 1.2 — Analyze input
| Input type | What to read | |---|---| | Marketing brief | positioning, key messages, audience | | Blog post | headline, narrative, examples | | Changelog | highest-impact entry | | PR | `gh pr view <n> --json title,body,files,labels`, diff (`gh pr diff`), commit messages, linked issues | | Git refs | `git diff <range>` + `git log <range> --oneline` | | Codebase path | read the specified files/directories | | Freeform | parse the user's description |
For PRs with 20+ files, filter to user-facing changes only — skip `tests/`, `ci/`, `.github/`, lockfile changes, dep bumps.
**Error handling:** - `gh` not available → tell the user, ask for an alternative (diff file, freeform description) - Invalid PR/ref → ask user to verify - File not found → ask for the correct path
### Step 1.2a — PR deep analysis (when input is a PR)
When the input is a PR, the brief table in Step 1.2 is not enough. PR bodies are routinely vague, outdated, or focused on implementation rather than user value, and a video built off the body alone tends to overclaim or miss the headline angle entirely. Before continuing to Step 1.3, run this structured analysis and produce a written **PR analysis block** that becomes the source of truth for Steps 1.4 (scope confirmation), Q2.1 (duration ladder), and Phase 3 (narrative planning).
**Mandatory steps — do all of them:**
1. **Pull metadata and identify the base branch.** ``` gh pr view <n> --json number,title,body,baseRefName,headRefName,files,labels,commits,additions,deletions ``` Record `baseRefName` (usually `main` / `master` / `develop`) — that is the diff reference. `gh pr diff <n>` automatically compares the PR head against this base.
2. **Pull the full diff against the base.** ``` gh pr diff <n> ``` For very large PRs (>500 lines or >20 files), also list changed files via `gh pr view <n> --json files`.
3. **Filter to user-facing surfaces.** Ignore (do not let these shape the headline angle): `tests/`, `__tests__/`, `*.test.*`, `*.spec.*`, `__mocks__/`, `ci/`, `.github/`, lockfiles, dep bumps without behavior change, generated/build artifacts (`dist/`, `build/`, `.next/`), and formatting-only diffs. What remains is the user-facing surface of the PR.
4. **Enumerate the public-API delta.** From the filtered diff, list every change a user could observe or write code against: - New, renamed, or removed `export`s (functions, types, components, hooks, classes, constants) - New CLI commands, flags, or environment variables - New routes, endpoints, or event names - New config keys or schema fields - Changed default values for existing public surfaces - Changed error messages, log shapes, or response shapes the user could rely on
Grep the diff for added lines beginning with `export `, new top-level `function`/`class`/`const` in `src/` / `lib/` / `packages/*/src/`, new files in those trees, and changes to public type signatures. **If you cannot point at a line in the diff for a claimed API, the claim is wrong — drop it.**
5. **Enumerate the behavior delta.** Beyond API surfaces, list user-visible behavior changes: UI elements added/changed (with file references), CLI / network output that looks different, side effects firing under new conditions, removed limitations, performance characteristics that changed.
6. **Write the before / after value statement.** Exactly two sentences, both grounded in concrete diff evidence: - **Before:** *"Before this PR, a user who wanted to ___ had to ___."* - **After:** *"After this PR, the same user can ___."*
The "had to" half must be a real prior workflow you can describe — copy-pasting an adapter from the docs, installing a second package, writing boilerplate, hitting an error, switching to a different tool. If the honest "Before" sentence is *"they could already do this"*, the PR has no user-visible value delta — see step 8.
7. **Cross-check the PR body against the diff.** Walk the body's claims and the diff side-by-side: - **Body claims a feature → does the diff confirm?** If the body says "added X" and the diff has no public surface for X (only tests, only docs, only internal helpers), flag it: *"PR body claims X but the diff doesn't expose X to users — should I shift the angle to <what the diff actually shows>?"* - **Diff shows multiple distinct features → body emphasizes one?** Flag the others as candidate angles: *"The body emphasizes A, but the diff also adds B and C. Which is the headline angle?"* - **Body is empty / boilerplate / `[BLANK]`?** Infer from the diff; make the inferred angle explicit and confirm with the user at Step 1.4. - **List "surprises"** — anything in the diff *not* mentioned in the body that affects user-visible behavior. Surprises are often the real story.
8. **Bail-out check: is this PR actually user-visible?** If after steps 4–6 you cannot name a single new thing the user can do or observe, the PR is not video-worthy as a feature launch. **Stop and ask the user:** > "This PR looks like an internal refactor / test-only / dep-bump PR — I can't find a user-visible value delta. Options: > a) shift to a performance / DX / cleanup angle if numbers support it > b) pick a different PR or input > c) cancel"
Do not invent a feature angle to fill the gap. A confabulated angle wastes a full iteration round and destroys user trust on the very first draft.
9. **Produce the PR analysis block.** Write the result as a short structured block before continuing to Step 1.3. This block — not the PR body — is the source of truth for everything downstream:
``` PR analysis — #1234 "Add fromZodSchema support" Base: main · Head: feature/zod-schema · Author: <login> User-facing files: 3 (packages/core/src/index.ts, packages/core/src/zod.ts, packages/core/src/types.ts) Filtered out: 5 test files, 2 doc files, lockfile
Public-API delta: + export function fromZodSchema(schema: ZodSchema): StandardSchema + export type ZodCompatibleSchema ~ default error code for ZodError changed: 'invalid_type' → 'STANDARD/type'
Behavior delta: - Users importing zod schemas no longer need a manual adapter. - Error messages from zod paths now use the StandardError shape.
Before / after: Before: copy a 15-line adapter from the docs into every project that mixes zod with this library. After: one import + one call.
Surprises (in diff but not in PR body): - Default error shape change (above) — could be the headline angle for migration-aware audiences.
Headline angle: "drop the 15-line adapter — one import, one call" Scope band for Q2.1: one idea (15–25s) ```
The "Headline angle" line feeds Phase 3.0's motif derivation and Phase 3.3's hook copy. The "Scope band" line feeds Q2.1's scope-derived duration proposal.
10. **Forbidden shortcuts** (each is a fast path to a wrong video): - Writing the analysis block from the PR title alone — **fail**; you must read the diff. - Skipping the cross-check because the body "looks complete" — bodies often look complete and are wrong. - Treating the PR body as truth when it conflicts with the diff — **the diff wins**. - Filling in a plausible "Before" sentence when the diff doesn't support one — run the bail-out check instead. - Collapsing two genuinely distinct user-visible features into one "feature X" bullet to make the scope band look smaller — record both and pick a headline angle at Step 1.4.
**For git-ref-range and codebase-path inputs**, apply the same structure with the diff coming from `git diff <range>` / direct file reads in place of `gh pr diff`. Steps 4–9 (public-API delta →
Technische Details
- Version
- 1.0.0
- Lizenz
- Unknown
- Letzte Aktualisierung
- 19. Aug. 2026
- Veröffentlicht
- 19. Aug. 2026
Entscheidungsübersicht
Validierung nötig
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 65/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für remotion-video, bereit für einen manuellen X-Post.
remotion-video: Use when the user wants to generate a rendered promotional video (not just a script) for a PR... 39 stars https://www.openagentskill.com/skills/alemtuzlak-remotion-video?ref=x
Optionale Antwort mit Installationsbefehl
Listing + install path for remotion-video: https://www.openagentskill.com/skills/alemtuzlak-remotion-video?ref=x Install: npx skills add AlemTuzlak/skills --skill remotion-video
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- AlemTuzlak
- Quelle
- AlemTuzlak/skills
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird AlemTuzlak zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/alemtuzlak-remotion-video)
[](https://www.openagentskill.com/skills/alemtuzlak-remotion-video)
[](https://www.openagentskill.com/skills/alemtuzlak-remotion-video/audit)
[](https://www.openagentskill.com/skills/alemtuzlak-remotion-video)Autor
AlemTuzlak
@alemtuzlak
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 39
- Qualitätswert
- 34/100
- Letzter GitHub-Push
- 19. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 3
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
Vertrauen & Sicherheit
Do not auto-install
- GitHub-Akzeptanz39 GitHub-StarsPrüfen
- Star-/Fork-Aktivität39 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
- Aktuelle Wartung3 Tage seit dem letzten PushBestanden
- LizenzklarheitUnbekanntPrüfen
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikocommand execution surface, network or browser surfacePrüfen
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