958 skills · sorted by relevance
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.
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.
Turn long articles, reports, papers, and transcripts into summaries at the reader’s preferred depth. Lead with the main conclusion, preserve essential figures and qualifications, and extract action items when the source supports them.
Turn rough meeting notes or a transcript into a structured recap with decisions, assigned tasks, stated deadlines, and open questions. Include a brief summary and flag missing or uncertain details so readers can identify the next steps.
Share the current coding session transcript with the Convex team, with explicit consent, for an AI review that identifies unclear setup instructions, tooling failures, and successful patterns to help improve the quickstart system.
Retrieve video subtitles and turn them into a clean paragraph, with optional timestamps and bracketed cues. Download video, audio, or subtitle files, inspect available formats, and choose a language or specific download format.
Preserve the context of long Claude Code sessions across compaction, which shortens conversation history. Create a restore map linking decisions, files, and next steps, then use ranked readings and targeted transcript lookups to rebuild working context.
Query gnomAD for variant frequencies, gene constraint measures, and effects on gene transcripts. Get concise Markdown summaries from focused requests, with options to return machine-readable JSON or save the full response to a file.
Turn articles, transcripts, or notes into a structured talk summary. Identify whether the material centers on practical experience or ideas, then extract its narrative, themes, sourced metrics, and gaps to guide further preparation.
Investigate unexpected Claude Code output by matching a session’s local transcript with production router logs. Identify the serving model and trace response conversion code to explain empty blocks, tool output, or other rendering symptoms.
Shape Markdown notes, fragments, or transcripts into a separate article through a collaborative drafting session. Choose an opening, establish what readers already know, and develop each paragraph or block in an order that introduces concepts before relying on them.
Analyze interviews, focus groups, and open-ended survey responses using Braun and Clarke's six-phase framework. Label meaningful passages, develop and review themes, and produce an academic Word report with an annotated map showing theme relationships.
Investigate product demand through Reddit, social posts, transcripts, and comments. Get sourced customer pain points, buying signals, existing alternatives, and objections, plus messaging angles and product tests grounded in the language people actually use.
Adapt an article, script, or transcript into posts for multiple social platforms. Extract the central message, supporting points, quotes, and data, then rewrite each version to suit its platform and suggest a publishing sequence.
Keep lengthy agent transcripts out of the main conversation by using synchronous Task calls that return summaries. This skill sets a specific execution rule intended to preserve separate agent contexts and avoid triggering conversation compaction.
Coordinate background agents through saved files, keeping lengthy work transcripts out of the main conversation. It defines how to pass results between agents, monitor progress, and verify completed work with tests.
Coordinate background agents using system progress reminders while continuing other work. Read their output files after completion signals, avoiding repeated status checks and full transcripts that consume tokens and crowd the main conversation.
Search local session histories across Codex, Claude Code, OpenCode, and other coding agents. Find earlier requests, inspect transcripts and child sessions, and reconstruct past work using recorded evidence, with filters for dates, projects, platforms, and models.
Turn speech from audio or video recordings into text using OpenAI. Save transcripts as text or JSON, with optional speaker labels and reference recordings to help identify known speakers in meetings or interviews.
Convert documents, spreadsheets, images, and audio into structured Markdown for AI processing. Extract tables, recognize text in images, transcribe audio, and batch convert files using command-line tools or Python.
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
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Work with the user's meetings through the Vexa MCP tools — send a bot to a call, follow the transcript while it runs, and write meetings into their notes (Obsidian, Notion, plain markdown) with speakers and action items. Use whenever the user mentions a meeting, a call, a transcript, meeting notes, or asks what was said.
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Analyze and triage AssemblyAI REST, transcript, Streaming v3, webhook, and LLM Gateway failures without leaking customer content. Use when an integration errors or stalls. Trigger with "AssemblyAI error" or "failed transcript".
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Analyze and operate a production AssemblyAI pre-recorded pipeline with explicit models, Speech Understanding, callbacks, and retention controls. Use when running asynchronous transcription. Trigger with "AssemblyAI async transcription" or "pre-recorded pipeline".
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