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Found 35 Skills
Use this skill when the user says "fill in data", "supplement data", "sync data", "update stats sheet", "fill in the data", or "sync". The core action is **batch sync**: Scan `01-Content Production/Pending Content/Short & Mid-length Videos/`, write all videos with complete YAML data to the stats sheet in one go and archive them to `02-Published Content/`. The data source is the YAML within the script files themselves (users have already filled in platform data in the files in advance), so there's no need for users to report numbers again in the conversation. Do NOT trigger this skill for: pattern analysis/review/viral content analysis (use li-analyzer), recording new topics (use li-recorder). Use when the user wants to "sync platform data" or "fill in stats" — the skill scans the pending folder and processes every video whose YAML is complete.
Build reliable third-party API integrations including OAuth, webhooks, rate limiting, error handling, and data sync. Use when integrating with external services (Slack, Stripe, Gmail, etc.), building API connections, handling webhooks, or implementing OAuth flows.
Expert in data persistence, local-first architectures, and synchronization strategies for Capacitor/Android applications.
Automatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect.
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports. Use when user asks to query NotebookLM, 'ask my notebook', shares NotebookLM notebook URLs, wants to list/create notebooks, manage sources, do bulk folder sync, dedupe, or audit exports.
Read Product Hunt from your terminal — works token-free for the daily skim, unlocks a launch-day cockpit and a marketer research desk in one onboarding step. Trigger phrases: `what launched on product hunt today`, `find ai launches on product hunt this week`, `how is my product hunt launch tracking`, `compare these product hunt launches`, `summarize the comments on this product hunt post`, `what does a good product hunt launch look like at hour 6`, `use producthunt`, `run producthunt`.
Best practices for handling Evernote data. Use when implementing data storage, processing notes, handling attachments, or ensuring data integrity. Trigger with phrases like "evernote data", "handle evernote notes", "evernote storage", "process evernote content".
Understands the Metabase Database Metadata Format — a YAML-based on-disk representation of databases, tables, and fields synced from a Metabase instance. Use when the user needs to read, edit, or understand metadata files produced by `@metabase/database-metadata`, or when reasoning about a project's schema (columns, types, FK relationships) through the `.metadata/databases` folder.
Stores and retrieves persistent memory about records — contacts, companies, employees, members, and more. Handles memorization (single and batch with per-property AI extraction), semantic recall, entity digests, and data export. Use when storing data, syncing records, querying memory, or assembling context for personalization.
CRM integration patterns for Close CRM, HubSpot, and Salesforce. Use when: Close CRM, HubSpot, Salesforce, CRM API, lead sync, deal sync, activity logging, CRM webhook, pipeline automation, contact enrichment.
Keeps HubSpot current without the owner opening it: creates and updates contacts and deals from email and calendar context, logs notes and calls, and flags stale records. The "stop doing data entry" skill. Use when the user asks to update the CRM, log a call, clean up HubSpot, or add context to a deal.