loom-transcript▌
n8n-io/n8n · updated Apr 9, 2026
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Fetch the transcript from a Loom video using Loom's GraphQL API.
Loom Transcript Fetcher
Fetch the transcript from a Loom video using Loom's GraphQL API.
Instructions
Given the Loom URL: $ARGUMENTS
1. Extract the Video ID
Parse the Loom URL to extract the 32-character hex video ID. Supported URL formats:
https://www.loom.com/share/<video-id>https://www.loom.com/embed/<video-id>https://www.loom.com/share/<video-id>?sid=<session-id>
The video ID is the 32-character hex string after /share/ or /embed/.
2. Fetch Video Metadata
Use the WebFetch tool to POST to https://www.loom.com/graphql to get the video title and details.
Use this curl command via Bash:
curl -s 'https://www.loom.com/graphql' \
-H 'Content-Type: application/json' \
-H 'Accept: application/json' \
-H 'x-loom-request-source: loom_web_45a5bd4' \
-H 'apollographql-client-name: web' \
-H 'apollographql-client-version: 45a5bd4' \
-d '{
"operationName": "GetVideoSSR",
"variables": {"id": "<VIDEO_ID>", "password": null},
"query": "query GetVideoSSR($id: ID!, $password: String) { getVideo(id: $id, password: $password) { ... on RegularUserVideo { id name description createdAt owner { display_name } } } }"
}'
3. Fetch the Transcript URLs
Use curl via Bash to call the GraphQL API:
curl -s 'https://www.loom.com/graphql' \
-H 'Content-Type: application/json' \
-H 'Accept: application/json' \
-H 'x-loom-request-source: loom_web_45a5bd4' \
-H 'apollographql-client-name: web' \
-H 'apollographql-client-version: 45a5bd4' \
-d '{
"operationName": "FetchVideoTranscript",
"variables": {"videoId": "<VIDEO_ID>", "password": null},
"query": "query FetchVideoTranscript($videoId: ID!, $password: String) { fetchVideoTranscript(videoId: $videoId, password: $password) { ... on VideoTranscriptDetails { id video_id source_url captions_source_url } ... on GenericError { message } } }"
}'
Replace <VIDEO_ID> with the actual video ID extracted in step 1.
The response contains:
source_url— JSON transcript URLcaptions_source_url— VTT (WebVTT) captions URL
4. Download and Parse the Transcript
Fetch both URLs returned from step 3 (if available):
- VTT captions (
captions_source_url): Download withcurl -sL "<url>". This is a WebVTT file with timestamps and text. - JSON transcript (
source_url): Download withcurl -sL "<url>". This is a JSON file with transcript segments.
Prefer the VTT captions as the primary source since they include proper timestamps. Fall back to the JSON transcript if VTT is unavailable.
5. Present the Transcript
Format and present the full transcript to the user:
Video: [Title from metadata] Author: [Owner name] Date: [Created date]
0:00 - First transcript segment text...
0:14 - Second transcript segment text...
(continue for all segments)
Error Handling
- If the GraphQL response contains a
GenericError, report the error message to the user. - If both
source_urlandcaptions_source_urlare null/missing, tell the user that no transcript is available for this video. - If the video URL is invalid or the ID cannot be extracted, ask the user for a valid Loom URL.
Notes
- No authentication or cookies are required — Loom's transcript API is publicly accessible.
- Only English transcripts are available through this API.
- Transcripts are auto-generated and may contain minor errors.
How to use loom-transcript on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add loom-transcript
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches loom-transcript from GitHub repository n8n-io/n8n and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate loom-transcript. Access the skill through slash commands (e.g., /loom-transcript) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★34 reviews- ★★★★★Ama Bansal· Dec 28, 2024
Keeps context tight: loom-transcript is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hiroshi Garcia· Nov 19, 2024
Registry listing for loom-transcript matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Sakura Verma· Nov 11, 2024
Useful defaults in loom-transcript — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hiroshi Liu· Oct 10, 2024
loom-transcript reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sakura Srinivasan· Oct 2, 2024
I recommend loom-transcript for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hana Park· Sep 21, 2024
Solid pick for teams standardizing on skills: loom-transcript is focused, and the summary matches what you get after install.
- ★★★★★Oshnikdeep· Sep 17, 2024
loom-transcript is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Dev Gill· Sep 1, 2024
loom-transcript has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Min Gill· Aug 20, 2024
Solid pick for teams standardizing on skills: loom-transcript is focused, and the summary matches what you get after install.
- ★★★★★Sakura Robinson· Aug 12, 2024
loom-transcript has been reliable in day-to-day use. Documentation quality is above average for community skills.
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