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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

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aws-dynamodb

a-pavithraa/aws-serverless-skill

Patterns and best practices for Amazon DynamoDB data modeling and access patterns. Use when the user asks about DynamoDB table design, single-table design, GSIs, multi-attribute composite keys, one-to-many relationships, cost optimization, or Terraform DynamoDB resources. Triggers on: DynamoDB, single-table design, GSI, partition key, sort key, access patterns, filter expressions, TTL, vertical sharding, composite keys, multi-attribute keys.

Skills

75

cloudflare/sandbox-sdk

Use when creating a changeset, preparing a release, or bumping versions. Covers which packages to reference, how to write user-facing changeset descriptions, the release automation flow, and the npm/Docker version sync requirement. (project)

Skills

75

coralogix/cx-cli

Creates GitHub pull requests with auto-generated summaries. Use this skill whenever the user wants to create a PR, open a pull request, submit changes for review, or push their branch for review - even if they don't explicitly say "PR".

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Set up Databricks agent development environment. Use when: (1) First time setup, (2) Configuring Databricks authentication, (3) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (4) No .env file exists.

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Create Databricks resources that agents connect to as tools. Use when: (1) User needs to create a Genie space, vector search index, UC function, or UC connection, (2) User says 'create tool', 'set up genie', 'create vector search', 'register MCP server', (3) Before add-tools when the resource doesn't exist yet, (4) User asks 'what do I need to create before adding this tool'.

Skills

75

databricks/app-templates

Set up Databricks agent development environment. Use when: (1) First time setup, (2) Configuring Databricks authentication, (3) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (4) No .env file exists.

Skills

75

sayed-moin-ahmed/code-comprehension

Deep, read-only code comprehension mode — understand how a codebase actually works by tracing real execution before any design, decision, or change. Produces a fixed deliverable set (high-level execution flow, call graph, call hierarchy tree, per-method dependency table, data flow, external interactions, error propagation, important methods, hotspots, and safe extension points), then STOPS and waits for approval. Use whenever the user wants to understand, map, trace, or explain existing code rather than modify it — "how does X work", "trace the execution of", "map the call graph", "walk me through this feature", "what calls this method", "where are the entry points", "how does data flow", "find the hotspots", "where can I safely extend this", or "understand this codebase before I touch it". Also triggers on "code understanding mode" and "analyze the actual code execution". Read-only by design — it never proposes implementation or refactoring, only understanding.

Skills

75

databricks/devhub

Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Invoke BEFORE starting implementation.

Skills

75

sayed/research-pipeline

v0.1.0

Produce a rigorous, verified, fully-cited research report on ANY topic by running a disciplined five-stage pipeline: CLARIFY the question, PLAN (an editable research plan), FAN-OUT parallel search subagents, VERIFY every key claim (cross-source + adversarial + cross-model), then SYNTHESIZE a cited report. Use this WHENEVER the user wants real research rather than a quick answer — "research X", "do a deep dive on Y", "write me a report / brief / literature review on Z", "compare A vs B and back it with sources", "what's the state of the art in …", "investigate …", "find evidence for/against …", "give me a market/landscape/competitor analysis", or any question where being wrong is costly and the answer needs citations. Trigger even when the user does not say the word "research" but clearly needs multi-source, fact-checked, cited output. This is the general-topic web-research orchestrator — not the codebase-to-wiki `deep-research` skill. For a fast single-fact lookup, answer directly instead.

Contains:

research-pipeline

Produce a rigorous, verified, fully-cited research report on ANY topic by running a disciplined five-stage pipeline: CLARIFY the question, PLAN (an editable research plan), FAN-OUT parallel search subagents, VERIFY every key claim (cross-source + adversarial + cross-model), then SYNTHESIZE a cited report. Use this WHENEVER the user wants real research rather than a quick answer — "research X", "do a deep dive on Y", "write me a report / brief / literature review on Z", "compare A vs B and back it with sources", "what's the state of the art in …", "investigate …", "find evidence for/against …", "give me a market/landscape/competitor analysis", or any question where being wrong is costly and the answer needs citations. Trigger even when the user does not say the word "research" but clearly needs multi-source, fact-checked, cited output. This is the general-topic web-research orchestrator — not the codebase-to-wiki `deep-research` skill. For a fast single-fact lookup, answer directly instead.

Skills

75

oxidecomputer/claude-plugins

Generates a plan to coordinate a dependency upgrade across multiple Oxide repos with cyclic dependencies. Triggered when upgrading a shared dependency (like progenitor, reqwest, dropshot) that must be synchronized across omicron, crucible, propolis, dendrite, maghemite, lldp, or other repos. Produces a reviewable plan document rather than executing directly.

Skills

75

leboncoin/spark-web

Generate code using nx generators. INVOKE IMMEDIATELY when user mentions scaffolding, setup, structure, creating apps/libs, or setting up project structure. Trigger words - scaffold, setup, create a ... app, create a ... lib, project structure, generate, add a new project. ALWAYS use this BEFORE calling nx_docs or exploring - this skill handles discovery internally.

Skills

75

camunda/camunda

Prepares act-testable GitHub Actions workflow scenarios for this monorepo. Use when validating workflow logic locally, generating temporary test harnesses, checking logic drift, assessing local act feasibility, and proposing reproducible user-run test cases.

Skills

75

netlify/context-and-tools

Create and manage Netlify deploys — Git continuous deployment, CLI manual/anonymous deploys, Deploy to Netlify buttons, drag-and-drop, and per-context netlify.toml build settings. Use when linking a repo, deploying from the CLI, setting up Deploy Previews or branch deploys, configuring deploy contexts, adding skew protection, fixing a failed or secrets-flagged deploy, or wiring build hooks and Deploy to Netlify buttons.

Skills

75

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