Data analysis, machine learning, LLM apps, and prompt design (9.2K skills)
Top-level router for Exasol work. Use for any Exasol database, exapump, SQL, BucketFS, extension, integration, UDF, Script Language Container, or Exasol Personal setup task, then route to the narrowest specialized Exasol skill.
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Take ONE specific bookmark URL and explore the neighborhood around it — tags, SIMILAR_TO neighbors, community peers — plus optionally WebFetch the page itself to summarize it. Use whenever Ahmad pastes a single URL and asks "what's near this", "tell me about this one", "expand this bookmark", "dig into this", "what else did I save like this", "give me the context for this URL". Triggers on "expand", "neighbors of", "what else like this", "dig into this URL", "context for this", and any message that's just a URL plus a short prompt.
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Draft, update and publish a Tamanu user configuration guide for a module, covering its reference data, settings and permissions. Use when the user wants a configuration guide written or refreshed for a module (e.g. "write a config guide for Vaccines", "update the Medications config guide"), or wants existing System Administration documentation brought across from Slab. Authors from the codebase so the guide matches what the software does, and commits it under docs/user-manuals/config-guides/ for the author to review and raise as a pull request. Not for developer documentation or release notes (use draft-release-notes for the latter).
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Plan or implement retirement of a system, API, feature, persisted configuration, or database shape. Use for compatibility cutovers, explicit deprecation review, or an explicit unreleased replacement decision, including determining whether consumers or data exist; not ordinary dependency bumps, local renames, prose edits, or generic architecture discussion.
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Trace what an actual code change could break beyond its diff when interfaces, serialized data, database schemas, configuration, caches, lifecycle ordering, or cross-language consumers are involved. Use for explicit impact analysis; not local renames, prose edits, ordinary dependency bumps, or generic architecture discussion.
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Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
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Use when the user says /localstop, localstop, stop localhost for this app, /localstopall, localstopall, or asks to stop local development servers for this Teleprompt app.
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Seed or import data into the Convex database.
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Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.
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Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
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Explain an existing Convex app — data model + relationships, public vs internal functions, auth/ownership model, components, a request→data flow — read from the schema and function surface. Read-only.
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Plan and execute Convex schema migrations safely, including adding fields, creating tables, and data transformations. Use when schema changes affect existing data.
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Set up Convex backups and run a restore DRILL that proves recovery — snapshot, restore into a throwaway preview, assert the data came back — plus a schedule matched to your RPO and a gated recovery runbook.
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Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.
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Seed or import data into the Convex database.
The English summary is being prepared. Showing the original description.
Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.
The English summary is being prepared. Showing the original description.
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
The English summary is being prepared. Showing the original description.
Set up Convex backups and run a restore DRILL that proves recovery — snapshot, restore into a throwaway preview, assert the data came back — plus a schedule matched to your RPO and a gated recovery runbook.
The English summary is being prepared. Showing the original description.
Explain an existing Convex app — data model + relationships, public vs internal functions, auth/ownership model, components, a request→data flow — read from the schema and function surface. Read-only.
The English summary is being prepared. Showing the original description.
Plans Convex schema and data migrations with widen-migrate-narrow and @convex-dev/migrations. Use for breaking schema changes, backfills, table reshaping, or zero-downtime rollouts.
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Plan and execute Convex schema migrations safely, including adding fields, creating tables, and data transformations. Use when schema changes affect existing data.
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Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
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Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.
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AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
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