查找技能

Records browser sessions via Playwright and converts video to GIF. Use when creating web UI tutorials or demos showing browser interactions.

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Runs multi-source research across GitHub, HN, Reddit, arXiv, and Semantic Scholar. Use when surveying a technical topic across multiple channels.

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Generates phased, dependency-ordered implementation tasks from specifications. Use after spec is complete and before starting implementation.

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Searches academic literature via arXiv, Semantic Scholar, and open-access PDFs. Use when building literature reviews or finding formal research on a topic.

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Searches GitHub for existing implementations, libraries, or patterns. Use when finding code examples or prior art on a topic during a research session.

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Runs parallel prose and craft review agents against a voice profile. Use when checking generated content for AI patterns and voice drift before publishing.

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Converts webm/mp4 video files to optimized GIFs via ffmpeg with configurable quality settings. Use when post-processing recordings into shareable GIFs.

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Orchestrates Spec Driven Development by coordinating spec, plan, and task skills. Use when running the full speckit workflow from spec to implementation.

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Generate diverse solution candidates with category-spanning ideation methods and rotation. Use when stuck on a design or fighting repetitive LLM output.

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Searches the open web for docs, comparisons, and news via You.com MCP or WebSearch. Use when a topic needs knowledge beyond GitHub, forums, or academia.

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Generates terminal recordings using VHS tape scripts and produces GIF outputs. Use when creating demo GIFs or documenting CLI workflows for tutorials.

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Scans HN, Lobsters, Reddit, and tech blogs for community experience reports. Use when gathering practitioner opinions on a technology or approach.

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Applies TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. Use when stuck on a problem and needing inventive perspectives.

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Extracts a user's writing voice from text samples via SICO comparative analysis. Use when building a voice profile for consistent generation.

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Generates text in a learned writing voice. Use when drafting content that must match a specific author's style profile extracted by voice-extract.

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Improves a voice profile by learning from manual edits. Use after editing generated text to refine registers and close voice drift over time.

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Combines GIFs and videos into composite tutorials with vertical or grid layouts via ffmpeg. Use when assembling multi-part media into a single output.

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Creates clear, testable specifications from feature descriptions with user stories. Use when starting a new feature and needing a spec before planning.

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Refines an active research session by drilling deeper into a subtopic. Use after tome:research to narrow results to a specific channel or angle.

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Export a research session into knowledge-intake compatible markdown. Use after a research session to hand findings to memory-palace.

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Plans, drafts, and refines technical tutorials for developers. Use when writing step-by-step guides or getting-started walkthroughs backed by working code.

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Merges, dedupes, ranks, and formats research findings into a report. Use after research agents return results from multiple channels to produce a ranked report.

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Runs a three-tier codebase audit (git history, targeted scans, full review) with gating. Use when auditing a codebase before release or after incidents.

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Orchestrates multi-domain review (code, arch, tests, security) in a single pass. Use when thorough pre-release review is needed.

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