356 skills · sorted by relevance
Create evaluation drafts for existing skills using actual conversations and user corrections. Produce criteria and repeatable test cases, distinguish evidence from specification assumptions, and prepare an anonymized draft for human review.
Process large email, document, and transcript archives by routing items to AI models according to their importance. Rule-based privacy checks run before model calls, while extracted information becomes linked knowledge pages with progress checkpoints.
Turn voice calls into GBrain records containing transcripts, summaries, audio links, and references to people or companies. The workflow also sends summaries to a configured messaging service; automatic processing when calls end requires additional implementation.
Turn exported AI chats and agent session logs into dated, searchable pages in gbrain. Check for missing conversations, extract facts, and trace when a topic first appeared or how an idea developed, with quotes and dated references.
Route articles, meeting notes, videos, documents, and conversations to specialized workflows for saving in GBrain. Preserve sources, add citations, and update related people, companies, concepts, and timelines with links back to the saved material.
Guide AI agents through Zoom MCP, a tool connection for searching meeting content and retrieving recordings, related assets, and transcript resources. Covers tool selection, authentication requirements, troubleshooting, and routing Docs or Whiteboard requests to separate services.
Build transcription workflows for uploaded or stored audio and video using Zoom AI Services Scribe. Consult guidance on authentication, single-file requests, batch jobs, completion notifications, and saving transcript results for further processing.
Develop C++ bots that join existing Zoom meetings from Linux servers without a graphical interface. Follow guidance for recording raw audio and video, feeding transcription or AI workflows, and handling authentication, recording permissions, and Docker audio setup.
Build a single brief on an existing customer using available sales records, emails, documents, call notes, and internal chat. Understand the current situation, key contacts, recent discussions, and gaps that may need attention.
Turn sales call transcripts or notes into a customer follow-up draft, an internal team summary, and proposed customer record updates. Capture decisions, concerns, and commitments, with source references supporting the suggested changes.
Turn call notes, meeting transcripts, or email exchanges into completed CRM activities linked to the relevant account, deal, and contacts. Review the entry with its sources, save it on request, and check past activity.
Prepare a one-page customer call brief with attendee profiles, account history, open deals, and context from earlier conversations. Use available connected sources or uploaded files to build a sourced call plan and relevant discovery questions.
Build or refresh a strategic customer account plan from sales records, emails, and meeting transcripts. Organize goals, stakeholders, growth opportunities, risks, and dated actions into a document, then sync approved highlights to the customer relationship management system.
Turn interviews, surveys, usability notes, and customer feedback into shared themes, user groups, and prioritized recommendations. Findings include supporting quotes and participant counts, helping teams connect research evidence to concrete product improvements.
Search Screenpipe recordings, screen text, audio transcripts, and synced-device history through its local API. Use the evidence to review activity, find meeting details, and inspect saved workflows, including recorded steps that can inform automation.
Turn a meeting transcript into structured notes and one Linear ticket per action item. Assign owners from the discussion or the team’s ownership map, and flag unclear assignments in unassigned tickets for follow-up.
Compare options through a debate among agents given distinct expertise and positions for the topic. Choose a three-round discussion with a visible transcript and synthesis, or a one-round check that presents initial perspectives.
Evaluate AI agent outputs with code checks and model-based grading. Run repeated trials to measure reliability, compare prompts or models, and check whether changes reduce quality, with saved transcripts for reviewing the results.
Build and run computer-use-demo in Docker, then use Playwright to test its Streamlit interface without opening a visible browser. Save conversation transcripts, API exchanges, and screenshots to inspect behavior after changes.
Answer questions about videos from URLs or local files using timestamped visual and spoken evidence. Choose extracted frames and transcripts, or let Gemini view the full video with a configured API key.
Review past local Cursor sessions, identify recurring tasks, and propose changes to a project skill. Changes are tested on separate validation tasks and staged for review before adoption, with backups of existing files.
Find statements, decisions, and commitments in Circleback meeting records. Search by people, company, tags, or dates, then use notes and transcripts to distinguish discussion from agreement and identify the meeting behind each answer.
Find what people said, decided, or promised in Granola meetings. The skill narrows meetings by date and participants, checks notes before transcripts, distinguishes decisions from discussion, and supports each finding with its meeting title and date.
Turn interviews, surveys, usability notes, and customer feedback into shared themes, user groups, and prioritized recommendations. Findings include supporting quotes and participant counts, helping teams connect research evidence to concrete product improvements.