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HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.
4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.
4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
Generate Xiaohongshu (小红书) style cover images based on user topics. Use when the user wants to create a social media cover image in Xiaohongshu style, or mentions keywords like "小红书封面", "Xiaohongshu cover", "封面生成", or provides a topic for cover image generation. The generated image will be saved to the current project directory.
ICT-based MNQ futures trading analysis system for MFFU prop firm evaluation. Use when user provides market data (PDH, PDL, FVG levels, liquidity sweeps) and asks for trade analysis, entry/exit points, or bias confirmation. Also handles advanced concepts: breaker blocks, rejection blocks, SMT divergence, Power of 3, Judas Swing, OTE, NWOG, NDOG. Triggers on keywords like "trade setup", "NQ analysis", "entry", "SL", "TP", "bias", "liquidity sweep", "FVG", "order block", "ICT", "MMXM", "MMBM", "MMSM", "market maker model", "smart money reversal", "SMR", "breaker", "rejection block", "SMT", "Power of 3", "Judas swing", "OTE", "opening gap", "NWOG", "NDOG".
ICT-based MNQ futures trading analysis system for MFFU prop firm evaluation. Use when user provides market data (PDH, PDL, FVG levels, liquidity sweeps) and asks for trade analysis, entry/exit points, or bias confirmation. Also handles advanced concepts: breaker blocks, rejection blocks, SMT divergence, Power of 3, Judas Swing, OTE, NWOG, NDOG. Triggers on keywords like "trade setup", "NQ analysis", "entry", "SL", "TP", "bias", "liquidity sweep", "FVG", "order block", "ICT", "MMXM", "MMBM", "MMSM", "market maker model", "smart money reversal", "SMR", "breaker", "rejection block", "SMT", "Power of 3", "Judas swing", "OTE", "opening gap", "NWOG", "NDOG".
Use this skill when users want to generate images using OpenAI's image generation API (DALL-E or gpt-image-1), or extract text from images using OCR. Invoke when users request AI-generated images, artwork, logos, illustrations, visual content from text prompts, or need to extract text/data from images.
Tamper-evident, hash-chained audit logging for AI agents.
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
Architectural standards and coding practices for the Go backend.
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
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ICT-based MNQ futures trading analysis system for MFFU prop firm evaluation. Use when user provides market data (PDH, PDL, FVG levels, liquidity sweeps) and asks for trade analysis, entry/exit points, or bias confirmation. Also handles advanced concepts: breaker blocks, rejection blocks, SMT divergence, Power of 3, Judas Swing, OTE, NWOG, NDOG. Triggers on keywords like "trade setup", "NQ analysis", "entry", "SL", "TP", "bias", "liquidity sweep", "FVG", "order block", "ICT", "MMXM", "MMBM", "MMSM", "market maker model", "smart money reversal", "SMR", "breaker", "rejection block", "SMT", "Power of 3", "Judas swing", "OTE", "opening gap", "NWOG", "NDOG".
**Name:**
Tamper-evident, hash-chained audit logging for AI agents.