Transform repository evidence into narrated AutoQEC demo presentations.
npx skills add https://github.com/qualit527/qec-ai-decoder --skill demo-presenter
Please help me install this Agent Skill. Skill: demo-presenter Source: https://github.com/qualit527/qec-ai-decoder/tree/main/.claude/skills/demo-presenter Command: npx skills add https://github.com/qualit527/qec-ai-decoder --skill demo-presenter
Create accurate, evidence-backed AutoQEC demos by turning repository evidence into persuasive narrated presentations that explain why results are correct and what was done.
Run the Demo Presenter to generate a narrated AutoQEC demo using repository evidence.
High-intent search queries and answers about installing and using this skill.
To create evidence-backed demos from repository documentation, this tool transforms README files, demo docs, and artifacts into narrated presentations. It assembles findings with a clear audit trail to generate both live and scripted walkthroughs.
AI narration for demo presentations works by using script-driven TTS via the OpenAI API. It processes repository evidence to produce natural-sounding narration with optional AI voices and flexible playback options for live or recorded sessions.
Yes, you can generate JSON manifests and narration audio from README files. The presentation workflow parses YAML frontmatter and repository artifacts to produce auditable outputs alongside the generated audio tracks.
Yes, you need an OpenAI dependency to generate narrated demo walkthroughs. The script-driven TTS functionality relies on the OpenAI API to synthesize natural-sounding audio for your evidence-backed presentations.
To distinguish mainline results from PR branches in a demo presentation, this tool uses provenance-aware storytelling. It highlights what was verified across different repository branches to ensure the narrative accurately reflects the evidence.
A limitation of using scripted TTS for AutoQEC demo generation is that narration quality depends entirely on the OpenAI API voice outputs. Additionally, the accuracy of the auditable artifacts is constrained by the evidence present in the parsed YAML frontmatter and repository docs.
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