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Edit videos through conversation, from transcription and take selection to cuts, color adjustments, animated overlays, and subtitles. Confirm an editing plan, review a checked preview, and refine the result before the final render.
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Route enterprise research questions to specialized skills for clinical studies, R&D finance, market research, or user research. Receive a concise digest of findings, next actions, output files, and assumptions that need human review.
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Turn feature requests and customer interviews into product plans. Rank features with RICE, a scoring method for reach, impact, confidence, and effort, extract research findings, and draft requirements and roadmaps that reflect team capacity.
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Evaluate product ideas before committing development resources. Organize customer needs, rank uncertain assumptions, and plan interviews or prototype tests in a short discovery cycle that ends with evidence for proceeding, changing direction, or stopping.
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Route product questions to a specialist for prioritization, research, analytics, experiments, or implementation. Support recurring discovery by tracking interviews and assumption tests, checking how customer needs connect to proposed solutions, and returning results with a concise digest.
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Summarize customer interview transcripts into a consistent Markdown document. Capture what customers want to accomplish, their current solutions, satisfaction and problems, notable findings, and follow-up actions with dates and owners when available.
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Create a customer interview guide focused on past behavior, current problems, and desired outcomes. Adapt questions to research goals and available time, with follow-up prompts and a note-taking template to capture findings consistently.
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Turn an unclear idea into a specification with testable completion criteria. The skill supports discovery interviews, drafts from existing code, completeness checks, and records of decisions and verification in a shared project document.
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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.
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Prioritize feature requests, analyze customer interviews, and draft product requirements documents. Use RICE scoring—a method weighing reach, impact, confidence, and effort—alongside templates and team capacity planning to turn findings into a quarterly roadmap.
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Answer Python questions and write code using examples fetched from pythonsheets.com. Find patterns for syntax, asynchronous tasks, networking, databases, machine learning, and distributed computing, or use topic-based questions to prepare for Python interviews.
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Build a company research brief from public sources, covering executive statements, product strategy, organizational practices, and transformation initiatives. Use dated sources to prepare for interviews, understand competitors, assess potential partners, or explore market entry.
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Work through the move from product manager to Director with questions tailored to your stage. Get practical recommendations for promotion preparation, interviews, early leadership challenges, or persistent difficulties in the role.
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Register and search existing Git repositories and worktrees, then choose which projects Ouroboros interviews use as context. You can also generate a configuration containing verified build, test, and other check commands for the evaluation workflow.
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Set up Ouroboros inside Claude Code with a guided wizard. Check runtime requirements, configure the Claude runtime, optionally add project instructions to CLAUDE.md, and register existing repositories as context for future interviews.
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Bring external materials into a project’s Obsidian knowledge base as source notes organized by material type. Update the source registry, add important sources to the index, and record arrivals during active sessions in daily notes.
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Plan interviews and focus groups for qualitative research, which explores people’s experiences and views. Develop question guides, follow-up prompts, discussion plans, transcription conventions, and participant review procedures suited to the study.
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Design studies that combine quantitative data, such as surveys, with qualitative evidence, such as interviews. It recommends a suitable design and outlines study phases, participant selection, timing, and ways to combine findings into an integrated interpretation.
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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.
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Help users conduct high-impact customer interviews that move beyond surface-level feature requests to identify root emotional frustrations and specific causal triggers.
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Plan and execute user research including research planning, recruiting, interview design, qualitative synthesis, and translating findings into product decisions. Use this skill whenever the user wants to plan user research, design interviews, recruit participants, conduct discovery, run formative research, or synthesize qualitative findings. Triggers on user research, UX research, user interviews, discovery research, generative research, formative research, qualitative research, user insights, research synthesis, recruitment, interview guide, jobs to be done. Also triggers when product decisions are being made without user input and the user wants to fix that.
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Synthesize raw user research (interviews, surveys, tickets) into themed findings and decision-ready briefs. Use when synthesizing user interviews, building a findings brief, or communicating research to stakeholders.
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Talent acquisition across recruiting strategy, sourcing, interviews, and hiring analytics. Use when writing job descriptions, designing interview scorecards, analyzing hiring funnels, or improving offer acceptance rates.
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Turn a one-line description of a repetitive task into a reusable, self-guarding slash command. loop-forge diagnoses the task into one of 5 loop shapes (Batch / Pipeline / Refine / Watch / Explore), interviews for the blanks, and auto-injects two safety devices the user didn't know they needed — an independent verifier (maker ≠ checker) and a hardstop (a budget/count/cooldown ceiling) — then previews the result and stamps it as a `/command` they can run forever. Use when the user says "/loop", "/loop-forge", "/make-it-loop", "automate this", "make this repeatable", "turn this into a command", "do this for all 100 items", "do X every time Y happens", "generate several and pick the best", or otherwise wants to capture a recurring task as a reusable slash command instead of re-typing the prompt by hand. Works in any language: it interviews the user and writes the stamped command in the user's own language. Non-goal — it does not schedule unattended runs (launchd/cron) or publish externally on its own; it stamps the reusable command and stops there.
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