Automatically analyze Bilibili videos, extract frames, and generate structured documentation or tutorials using AI.
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
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
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
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
Submit your Claude Code skill and start earning
epx add aidotnet/moyucode --skill bilibili-analyzerCompatible with
Supported agents
Downloads videos via Bilibili API, extracts frames using FFmpeg at configurable rates (1 fps for short videos, 0.5 fps for medium, 0.2 fps for long), and deduplicates similar adjacent frames
Batch-analyzes extracted frames in parallel using the Task tool, with dynamic batching strategy based on total frame count (1–5 batches)
Reorganizes analysis results into polished m
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbilibili-analyzerExecute the skills CLI command in your project's root directory to begin installation:
epx add aidotnet/moyucode --skill bilibili-analyzerFetches bilibili-analyzer from aidotnet/moyucode and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/bilibili-analyzer
Restart Cursor to activate bilibili-analyzer. Access via /bilibili-analyzerin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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bilibili-analyzer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
bilibili-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added bilibili-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: bilibili-analyzer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for bilibili-analyzer matched our evaluation — installs cleanly and behaves as described in the markdown.
bilibili-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
bilibili-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added bilibili-analyzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
bilibili-analyzer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
bilibili-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.
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