Skills.
Give your AI a better way to work.
A skill is a set of written instructions that teaches an AI how to do one job the way it should be done: review a pull request, plan a migration, write the release notes.
Install one here and it travels with your account into Claude, Claude Code, Cursor and every other client you sign in with.
Category: Databases & data
2,461 results · page 76 of 83
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agentclash-dataset-workflowsSkillDatabases & data
Use when managing AgentClash datasets via CLI — create versions, import/export examples, run evals, CI gates, synthetic generation, trace import, candidate review, and regression suite sync.
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prisma-workflowSkillDatabases & data
Prisma ORM best practices, schema design, migrations, seeding, and query optimization for PostgreSQL. Use when working with database schemas, migrations, or Prisma queries.
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security-checklistSkillDatabases & data
OWASP Top 10, input validation, SQL injection prevention, rate limiting, CORS. Use when reviewing code for security issues, setting up a new API, or doing a pre-deploy security audit.
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xlsx-officialSkillDatabases & data
Lets your agent create and edit Excel spreadsheet files.
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agami-connectSkillDatabases & data
End-to-end database connection for agami: sets up credentials on first run (DB-type picker → writes <artifacts_dir>/local/credentials.example for the user to fill in), then introspects the live DB directly into the agami semantic model (subject areas, tables, columns, relationships with join cardina
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agami-evalSkillDatabases & data
Runs the golden evaluation harness for a profile. Picks one golden dataset, regenerates SQL for every question in it, executes each statement against the org's own warehouse, scores the result against the confirmed answer key, and reports the verdicts — failures first, with the errored, the unscored
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agami-querySkillDatabases & data
Answers natural-language questions about the user's database. Loads the agami semantic model (subject areas, tables, columns, relationships with join cardinality, entities, metrics) and few-shot examples from <artifacts_dir>/<profile>/, generates SQL via the examples-first traversal (pick subject ar
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agami-save-goldenSkillDatabases & data
Writes golden-dataset items for a profile through two doors. The import door turns a question bank — a CSV, or a table pasted into chat — into items after the parsed rows have been shown and agreed to: a row that already carries a statement is written confirmed, a bare question is written unconfirme
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agami-serveSkillDatabases & data
Wires the local agami MCP server (python -m mcp_harness) into the Claude Desktop app in one step, so you can ask your database questions from Claude Desktop — not just inside Claude Code. Auto-detects the right Python interpreter (the one with your DB driver), installs the agami-core package into it
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agent-run-data-collectionSkillDatabases & data
Use when collecting NPA agent work for fine-tuning or evaluation so every goal-level episode emits a sanitized, outcome-linked trajectory to an append-only S3 dataset in an operator-specified Nebius tenant and bucket.
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alpamayo2-superSkillDatabases & data
Package, preflight, run, validate, or troubleshoot NVIDIA Alpamayo 2 Super 34B VLA inference in NPA, including its OpenMDW model terms, separately gated PhysicalAI-AV dataset, public runtime-fetch image, B200/RTX PRO 6000 routing, workflow artifacts, and real-GPU evidence.
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artifact-viz-shareSkillDatabases & data
Use to turn run outputs into something a human can look at and to hand it to someone else — `npa adapter convert` (sim demos to LeRobotDataset), `npa convert lerobot-to-rrd|lerobot-to-mp4`, and `npa rerun host|share|list-shares|revoke` for time-boxed presigned links.
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cosmos3-post-trainingSkillDatabases & data
Use when planning, reviewing, or explaining Cosmos3 supervised fine-tuning and post-training in NPA, including upstream recipes, dataset/checkpoint preparation, and why NPA does not expose post-training as a fake skill command.
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fiftyoneSkillDatabases & data
Use when deploying, launching, loading data into, or reviewing the FiftyOne workbench dataset curation and visualization tool.
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gap-foerderantragSkillDatabases & data
Support and defense of the consolidated application under GAP 2023–2027 – direct payments (basic income support, redistribution, young farmer premium, coupled support), eco-schemes, conditionality (GLÖZ 1–9, GAB), sanction assessment, appeal and litigation. Statutory anchors: VO (EU) 2021/2115, 2021
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implement-incremental-extractionSkillDatabases & data
Expert guidance for implementing incremental metadata extraction in a new SQL-based connector app using the Application SDK. Covers the full implementation: activities class (build_incremental_column_sql, SQL placeholders, fetch overrides), workflow class, SQL templates (extract_table_incremental.sq
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incremental-migrateSkillDatabases & data
Orchestrates adding incremental extraction to any Atlan connector app. Handles both SQL connectors (delegates to SDK's implement-incremental-extraction skill) and REST/GraphQL connectors (uses the Tableau pattern as reference). Runs as isolated sub-agents: reconnaissance -> feasibility -> implementa
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lerobotSkillDatabases & data
Use when working on LeRobot workbench training, evaluation, serving, inference, dataset conversion, or robot policy workflows.
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migrate-off-daftSkillDatabases & data
Migrate a connector app across the SDK 3.20.0 daft cliff. In v3.20.0 (commit 41f32e1d, PR #2300) the SDK removed daft entirely and rerouted the transformation layer to DuckDB + pyarrow + orjson, in one cut — any app whose lockfile crosses 3.19.x → 3.20.0+ hits every break at once. The skill resolves
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scaffold-appSkillDatabases & data
Bootstrap a new Atlan app repo from scratch. Generates pyproject.toml, Dockerfile, atlan.yaml, app/ package skeleton (contracts, handler, connector, clients), .env.example, and an initial run_dev.py. Branches on connector type (SQL vs REST) and auth type (basic, api_key, bearer, oauth).
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solution-licensingSkillDatabases & data
Use when adding, onboarding, or repackaging any solution, tool, container image, model, weights, dataset, or runtime cache; classify each artifact separately, keep restricted weights out of images, design safe runtime caching, and record redistribution decisions where guards enforce them.
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third-party-eula-preflightSkillDatabases & data
Use before provisioning, building, downloading, or submitting a workload whose image, software, model, or data requires third-party EULAs or gated terms; apply the scoped Isaac ACCEPT_EULA default and explicit opt-out correctly without conflating credentials, privacy, telemetry, or redistribution ri
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busic-databaseSkillDatabases & data
BuSic数据层规范。用于Drift表定义、迁移、Repository实现和Domain模型映射时快速确认主真源与联动检查项
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cf-analyticsSkillDatabases & data
Render an ASCII analytics dashboard of ContentForge production history — quality score trends, phase-by-phase pipeline timing, brand and content-type comparisons, compliance and citation metrics, outlier detection, and triggered alerts over a 7/30/90-day window. Triggers on \"/contentforge:cf-analyt
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chatkit-integrationSkillDatabases & data
Foundation skill for integrating OpenAI ChatKit framework with custom backends. This skill should be used for initial ChatKit setup including server implementation, React component integration, authentication, context injection, and database persistence. For streaming UI patterns use chatkit-streami
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chemblSkillDatabases & data
Query the ChEMBL database web services for measured bioactivity data, compound records and calculated properties, targets, assays, mechanisms of action, drug indications and warnings. Use this skill to build curated SAR or QSAR datasets for a target, look compounds up by SMILES, InChIKey, name, or C
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data-transformation-etlSkillDatabases & data
Practical ETL rules for parsing, validation, transformation, and safe loading.
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database-optimizationSkillDatabases & data
Practical rules for query tuning, schema choices, and safe database performance work.
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dotnet-testing-advanced-testcontainers-databaseSkillDatabases & data
使用 Testcontainers 進行容器化資料庫測試的專門技能。當需要測試真實資料庫行為、使用 SQL Server/PostgreSQL/MySQL 容器、測試 EF Core/Dapper 時使用。涵蓋容器啟動、資料庫遷移、測試隔離、容器共享等。 Make sure to use this skill whenever the user mentions Testcontainers database, SQL Server container, PostgreSQL container, EF Core integration test, Dapper testing, or Col
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dotnet-testing-advanced-testcontainers-nosqlSkillDatabases & data
Testcontainers NoSQL 整合測試完整指南。當需要對 MongoDB 或 Redis 進行容器化整合測試時使用。涵蓋 MongoDB 文件操作、Redis 五種資料結構、Collection Fixture 模式。包含 BSON 序列化、索引效能測試、資料隔離策略與容器生命週期管理。 Make sure to use this skill whenever the user mentions Testcontainers MongoDB, Testcontainers Redis, NoSQL integration test, BSON serialization, or R
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What is a skill?
A skill is plain text, usually a SKILL.md file and the scripts it refers to, written for an AI rather than for a person. It carries the steps, the house rules and the examples a good answer needs, so you stop pasting the same briefing into every new chat.
54,764 of the 55,196 skills listed here can be served through ahel today, and they come from public repositories. Each one has its own page with the instructions themselves on it, so you can read what a skill will tell your AI to do before you install it.
Install one and every AI you use gets it
Installing a skill adds it to your gateway and turns it on in the same step. Claude Code surfaces it as a slash command; any client can read the full instructions with the skill_read tool.
Nothing is copied into a project folder. The instructions are served from your account, so the same skill is there in every AI you connect, and turning it off removes it from all of them at once.