bibi▌
jimmylv/bibigpt-skill · updated Apr 8, 2026
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Summarize videos, audio, and podcasts directly from the terminal using BibiGPT.
- ›Supports YouTube, Bilibili, podcasts, and other media URLs with multiple output formats: Markdown, JSON, raw subtitles, or chapter-by-chapter breakdowns
- ›Requires BibiGPT desktop app with active login or BIBI_API_TOKEN environment variable for authentication
- ›Includes async mode for long videos (>30 min) to avoid timeouts, plus commands for checking auth status, managing tokens, and self-updating
- ›Output
BibiGPT — AI Video & Audio Summarizer
Environment Check
Run scripts/bibi-check.sh first. It detects which mode is available:
| Mode | When to use | Auth |
|---|---|---|
CLI (bibi command) |
macOS / Windows / Linux with desktop app | Desktop login or BIBI_API_TOKEN |
| OpenAPI (HTTP calls) | Containers, CI, or any env without CLI | BIBI_API_TOKEN only |
If neither mode is available, see references/installation.md for setup instructions.
Intent Routing
Route the user's request to the appropriate workflow:
| User Intent | Workflow |
|---|---|
| Summarize a video/audio URL | → workflows/quick-summary.md |
| Chapter-by-chapter breakdown, detailed analysis | → workflows/deep-dive.md |
| Get subtitles, extract transcript, raw text | → workflows/transcript-extract.md |
| Turn into article, blog post, 公众号图文, 小红书 | → workflows/article-rewrite.md |
| Process multiple URLs, batch summarize | → workflows/batch-process.md |
| Research a topic across multiple videos | → workflows/research-compile.md |
| Save to Notion, Obsidian, export notes | → workflows/export-notes.md |
| Analyze visual content, slides, on-screen text | → workflows/visual-analysis.md |
Disambiguation
- If the user's intent matches more than one workflow, ask one clarifying question before routing.
- If it matches none, ask what they are trying to accomplish. Do not guess.
- If the user just pastes a URL with no context, default to
workflows/quick-summary.md.
Local File Support
The bibi CLI directly accepts local file paths (no upload needed):
bibi summarize "/path/to/video.mp4"
bibi summarize "/path/to/podcast.mp3"
For API mode (no CLI), guide the user to upload the file to a publicly accessible URL (OSS, S3, etc.) first, then pass that URL to the API. See references/supported-platforms.md for details.
Direct CLI Operations
Use progressive help to discover options: bibi --help → bibi summarize --help → run.
For simple, single-command requests that don't need a full workflow:
bibi summarize "<URL>" # Quick summary (URL or local file path)
bibi summarize "<URL>" --chapter # Chapter summary
bibi summarize "<URL>" --subtitle # Transcript only
bibi summarize "<URL>" --json # Full JSON response
bibi auth check # Check auth status
See references/cli.md for all commands and flags.
References
| Document | Contents |
|---|---|
references/cli.md |
All CLI commands, flags, output formats |
references/api.md |
OpenAPI endpoints, curl examples, response schemas |
references/installation.md |
Desktop app install, skill install, auth setup, MCP config |
references/supported-platforms.md |
Supported URL types, platform notes, duration limits |
How to use bibi 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 bibi
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches bibi from GitHub repository jimmylv/bibigpt-skill 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 bibi. Access the skill through slash commands (e.g., /bibi) 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
4.6★★★★★54 reviews- ★★★★★Zara Patel· Dec 24, 2024
bibi fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Soo Gupta· Dec 20, 2024
bibi has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakshi Patil· Dec 12, 2024
Useful defaults in bibi — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Zara Rao· Dec 4, 2024
bibi is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Zara Thomas· Nov 27, 2024
Solid pick for teams standardizing on skills: bibi is focused, and the summary matches what you get after install.
- ★★★★★Hana Ramirez· Nov 23, 2024
Useful defaults in bibi — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aanya Ramirez· Nov 19, 2024
bibi has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Min Sethi· Nov 15, 2024
Registry listing for bibi matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Nov 3, 2024
bibi is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Piyush G· Oct 22, 2024
Keeps context tight: bibi is the kind of skill you can hand to a new teammate without a long onboarding doc.
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