Hacker News post crafter — given a product, feature, or story produces a ready-to-post HN submission (title ≤80 chars, no marketing), honest body text with technical depth, no outbound links, predicted reception analysis, and comment-response templates for likely pushback. Use when asked to "write an HN post", "craft a Show HN", "prepare our Hacker News launch", or "help me post on HN".
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Design a data validation pipeline — schema checks, range validation, and quality metrics. Use when asked to "validate incoming data", "add schema checks", or "define data quality metrics".
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Deep clause-by-clause analysis of a contract with risk scores. Use when asked to "analyze this contract clause by clause", "score the risk in this agreement", or "what is dangerous in this contract".
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Design a caching strategy for an application — pattern selection, key design, TTL, and eviction policy. Use when asked to "add caching to this", "design a cache strategy", or "what should we cache".
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PR & Community engineer — press pitches, social media, open source community, DevRel, and coordinated launch moments. Use when asked to "write a press release", "plan a launch", "build a community", "draft a HN or Twitter post", or "get media coverage".
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Media and podcast outreach personalizer — takes a story angle and target journalist or host list and produces personalized pitch emails per target. Use when asked to "write media pitches", "pitch this story to journalists", "get us on podcasts", "write press outreach", or "personalize pitches for these contacts".
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Build a product roadmap with sequenced bets and explicit tradeoffs. Use when asked to "build a roadmap", "prioritize the backlog strategically", "what do we build next quarter", "sequence our bets", "what should we focus on", or "product strategy for the next N months".
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Strategic narrative — write a standalone strategy memo that frames product direction, bets, and rationale for a planning horizon. Use when asked to "write a strategy doc", "product vision", "strategic narrative", "company strategy memo", "planning memo", or "explain our product direction".
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Audit a proposed API change for breaking changes — classification and impact assessment. Use when asked "is this a breaking change", "will this break clients", or "assess the impact of this API change".
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Audit existing resilience — identify untested failure modes and chaos engineering gaps. Use when asked "how resilient are we", "what failure modes are untested", or "find our chaos engineering gaps".
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Audit existing caching implementation — find cache misses, stampedes, and key design issues. Use when asked to "audit our caching", "why is our hit rate low", or "find cache stampedes".
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Design a cache invalidation and eviction strategy — event-driven invalidation and thundering herd prevention. Use when asked to "design cache invalidation", "fix stale cache data", or "prevent a thundering herd".
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PR and community reconnaissance — audit current press coverage, social presence, community health, and competitor PR. Use when asked to "audit our PR", "what's our community state", "how do we compare in press", or before planning a launch or community initiative.
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Survey existing forecasting code or models in a codebase — find gaps, stale models, and missing validation. Use when asked "what forecasting models do we have", "audit our forecasts", or "find stale models".
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Validate and benchmark a forecasting model — walk-forward CV, error metrics, baseline comparison. Use when asked "is this forecast any good", "validate a forecasting model", or "backtest the forecast".
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Design a chaos engineering experiment — hypothesis, blast radius, steady state, and abort conditions. Use when asked to "design a chaos experiment", "inject a failure", or "test the resilience of this service".
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Audit existing data cleaning code — find missing validation, silent data loss, and quality gaps. Use when asked to "audit our data cleaning", "are we losing data silently", or "find data quality gaps".
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Design a data cleaning and transformation pipeline — missing values, outliers, and deduplication. Use when asked to "clean this dataset", "handle missing values", or "deduplicate this data".
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Audit UX copy in a product or codebase — find passive errors, generic labels, missing states. Use when asked to "audit our UX copy", "our error messages are bad", or "review the microcopy".
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Survey all user-facing strings in a codebase — map coverage and find gaps. Use when asked "what user-facing strings do we have", "map our copy coverage", or "find hardcoded strings".
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Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "model performance".
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Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost estimate. Use when asked to "add AI to this", "LLM integration", "add Claude/GPT", or "AI-powered feature".
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Build an ML pipeline — from data to trained model to serving endpoint. Use when asked to "build ML model", "train a model", "prediction pipeline", "classification", or "regression".
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Design an icon system spec or audit existing icons for consistency and accessibility. Use when asked to "design an icon system", "audit our icons", or "are our icons consistent".
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