Use when working with Timescaledb — timescaleDB hypertable analysis, chunk management, continuous aggregates, compression policies, and time-series optimization.
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Skills that do not fit the categories above (14.3K skills)
Use when working with Timescaledb — timescaleDB hypertable analysis, chunk management, continuous aggregates, compression policies, and time-series optimization.
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Use when working with Dynamodb — amazon DynamoDB table analysis, capacity mode evaluation, GSI/LSI usage, item access patterns, and cost optimization.
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Fast vector similarity search at billion scale.
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GRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). Load matrix, filter by TFs, infer TF-target-importance links, save network. Dask-parallelized to single-cell scale. Core SCENIC component.
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Engineering operating model for teams where AI agents generate a large share of implementation output.
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Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic search.
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Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
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Dispatch to the right problem-solving technique based on how you're stuck
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Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
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Run verification commands and confirm output before claiming success
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Manage Telegram channel access — approve pairings, edit allowlists, set DM/group policy. Use when the user asks to pair, approve someone, check who's allowed, or change policy for the Telegram channel.
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Search the web through Tavily with bounded depth, domains, dates, and result counts. Use when the user needs current information or source discovery and does not already have a specific URL.
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Understand how ideas evolved over time to find old solutions for new problems and avoid repeating past failures
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Systematically trace bugs backward through call stack to find original trigger
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Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z
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Contribute skills back to upstream via branch and PR
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Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.
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Capture a self-contained static HTML snapshot from a running app or mock component so it can be reviewed or uploaded to Stitch.
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Recognize when disagreements reveal valuable context, preserve multiple valid approaches instead of forcing premature resolution
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Sync local skills repository with upstream changes from obra/superpowers-skills
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Spot patterns appearing in 3+ domains to find universal principles
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Draft, prepare, publish, and verify personal or project LinkedIn posts through the user's signed-in Chrome session, including audience review, public-safe media uploads, links, action-time confirmation, and post-publication checks.
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Compact the current conversation into a handoff document for another agent to pick up.
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Execute detailed plans in batches with review checkpoints
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