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Found 10,546 Skills
Review test quality and audit test coverage for any module. This skill should be used when reviewing existing tests, auditing test gaps, writing new tests, or when asked to assess test health. It pipelines testing standards into the audit workflow to produce a prioritized gap report. The output is a report, not code — do not write test implementations until the report is reviewed.
Use when the user wants to initialize, switch, inspect, optimize, export, or diagnose a role bundle with /roleMe.
Apply Benjamin Graham's value investing framework to evaluate stocks, portfolio allocation, and investment vs. speculation decisions. Trigger on: "Is this stock worth buying?", "Is this investment or speculation?", "How should I allocate my portfolio?", "Is this company a good value?", "should I sell in a downturn?", "evaluate this stock for a defensive investor".
Edit existing videos using AI — remix style, upscale, remove background, and add audio via fal.ai's hosted video models.
Virtual try-on — see how clothes look on a person via fal.ai's hosted try-on models. Useful for ecommerce, lookbooks, and styling experiments.
Convert photos into animated GIF stickers in Funko Pop / Pop Mart style via the MiniMax API. Useful for personalized chat stickers and avatar packs.
Build a complete design system from scratch with creative risks and realistic product mockups. Useful for kickoff workshops and brand-from-zero work.
Extract structured data from multiple documents into comparison matrix with citations. Use for bulk document review.
Extracts transcripts from podcasts or videos and synthesizes actionable takeaways.
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.