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creepyblues AI Skills

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Browse published AI skills maintained by creepyblues. Compare skill descriptions and follow each source repository for setup instructions.

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Indexed skills

15

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

15 skills

Browse skills

GitHub

batch-comps

creepyblues

Batch generation of Hollywood comparable titles using GPT-4o. This skill should be used for generating comps on multiple titles at once, filling gaps in catalog coverage, or running overnight batch processing.

GitHub

deploy-staging

creepyblues

Deploys specified app(s) to Vercel staging environment with build verification, smoke tests, and multi-channel notifications. This skill should be used when the user wants to deploy to staging, test a staging d...

GitHub

safe-migrate

creepyblues

Safely creates and applies database migrations with automatic destructive operation detection, backup creation, and rollback generation. This skill should be used when creating database migrations, applying sch...

GitHub

deploy-functions

creepyblues

Deploys Supabase edge functions individually or in groups (auth, payments, ai, data, email) with health verification and notifications. This skill should be used when deploying edge functions to Supabase, updat...

GitHub

cost-report

creepyblues

Tracks and reports API costs for OpenAI, Stripe, and other paid services used by edge functions. This skill should be used when monitoring API spending, identifying cost optimization opportunities, tracking cos...

GitHub

title-intelligence

creepyblues

Orchestrates data collection from Korean webtoon/webnovel platforms (Naver, Kakao, Manta, etc.) and fan engagement sources (Reddit, AO3). This skill should be used when collecting platform metrics for titles, u...

GitHub

regenerate-embeddings

creepyblues

Manages OpenAI embeddings for title vector search, including batch regeneration, single title updates, verification, and cost estimation. This skill should be used when regenerating embeddings for new titles, f...

GitHub

test-e2e

creepyblues

Runs Playwright E2E tests with smart targeting by app and feature, supports multiple environments (local/staging/production), and can generate new E2E test files. This skill should be used when running E2E test...

GitHub

pr-production

creepyblues

Creates a streamlined pull request from v2 (staging) to main (production) with change summary, affected apps detection, and deployment checklist. This skill should be used when ready to deploy staging changes t...

GitHub

title-pipeline

creepyblues

Orchestrates full title processing workflow (collect → embed → comps → format-fit). This skill should be used for processing new titles end-to-end, running overnight batch processing on recent additions, or ens...

GitHub

batch-format-fit

creepyblues

Batch format suitability analysis using GPT-4o across 5 content formats (Film, TV Series, Animation, Microdrama, Audio Drama). This skill should be used for analyzing format fit on multiple titles, generating c...

GitHub

analytics

creepyblues

Generate GA4 analytics reports for KStoryBridge dashboard. Use for daily summaries, weekly deep-dives, funnel analysis, traffic source breakdowns, and realtime monitoring. Priority focus on user acquisition and...

GitHub

batch-intelligence

creepyblues

Batch data collection from Korean webtoon/webnovel platforms (Naver, Kakao, Manta) with auto-ingest to titles table. This skill should be used for collecting metrics on multiple titles, refreshing stale data, o...

GitHub

health-check

creepyblues

Verifies system health across all apps, edge functions, and database connectivity. This skill should be used for quick deployment verification, debugging service issues, daily operations checks, or before/after...

GitHub

funnel-report

creepyblues

Generate comprehensive signup funnel analysis for KStoryBridge. Analyzes the complete user journey from first visit through trial to signup completion, identifies drop-off points, and provides actionable recomm...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.