meeting-insights-analyzer
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
conversation-analyzer
Analyzes your Claude Code conversation history to identify patterns, common mistakes, and opportunities for workflow improvement. Use when user wants to understand usage patterns, optimize workflow, identify automation opportunities, or check if they're following best practices.
reflect
Self-improving skills system. Analyzes conversation for corrections and learnings, proposes skill updates. Use when saying "reflect on this session", "what did we learn", or after completing significant work. Also triggered by /reflect command.
complete-spec
Interactive conversation to resolve [NEEDS CLARIFICATION] markers using /speckit.clarify command. Claude asks questions about missing features, UX/UI details, behavior, and priorities. Updates specs in .specify/memory/ with answers to create complete, unambiguous documentation. This is Step 5 of 6 in the reverse engineering process.
interview
Interview me about anything in depth
transcript-analyzer
This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, extract action items from meetings, find decisions in conversations, build glossaries from discussions, or summarize key points from recorded meetings.
session-search
Search past conversations by keywords, timeframe, or ID. Triggers on "search sessions", "find that conversation", "what did we work on", "look up past discussion about X", "where were we", "what did I learn", "knowledge gaps", "retrospective". Also trigger on: "what did we discuss...", "you mentioned...", past tense verbs referring to prior work, possessives without context ("my project", "my auth system"), and assumptive questions that reference unshared context. Extracts clean conversation data and applies analytical lenses for structured insights.
