skillfactor-pipeline/skills/database-administrator/references/ai-skills.md

External AI agent skills — database-administrator

Proven, publicly available AI agent skills mapped to this occupation. Nothing is copied from the sources: every entry is a name, a one-line summary and a link to the upstream skill package. Each section names its source repository, commit, license and retrieval date.

Tiers: core = the skill directly exercises a top-20 market hard skill or an essential ESCO competence of this occupation; adjacent = plausibly useful, secondary. Entries are capped at 10 per source (core first); everything beyond the cap is excluded and logged in the pipeline audit trail, not in this package.

Matched deterministically (ISCO group + title/competence keywords, tiered against market evidence + ESCO essentials) by pipeline/p5_enrich_ai_skills.py on 2026-07-07.

Source: anthropics/skills

• Repository: https://github.com/anthropics/skills (commit 9d2f1ae, retrieved 2026-07-07)
• License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder

Skill	Tier	What it adds	Upstream
claude-api	core	Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a …	source
mcp-builder	adjacent	Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python …	source
docx	adjacent	Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting …	source
pdf	adjacent	Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating …	source
webapp-testing	adjacent	Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.	source

Source: obra/superpowers

• Repository: https://github.com/obra/superpowers (commit d884ae0, retrieved 2026-07-07)
• License: MIT (c) Jesse Vincent

Skill	Tier	What it adds	Upstream
brainstorming	adjacent	You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.	source
finishing-a-development-branch	adjacent	Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup	source
subagent-driven-development	adjacent	Use when executing implementation plans with independent tasks in the current session	source
test-driven-development	adjacent	Use when implementing any feature or bugfix, before writing implementation code	source
receiving-code-review	adjacent	Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation	source
using-git-worktrees	adjacent	Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback	source
executing-plans	adjacent	Use when you have a written implementation plan to execute in a separate session with review checkpoints	source
dispatching-parallel-agents	adjacent	Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies	source
requesting-code-review	adjacent	Use when completing tasks, implementing major features, or before merging to verify work meets requirements	source
systematic-debugging	adjacent	Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes	source

Source: wshobson/agents

• Repository: https://github.com/wshobson/agents (commit 6fd3247, retrieved 2026-07-07)
• License: MIT (c) Seth Hobson

Skill	Tier	What it adds	Upstream
sql-optimization-patterns	core	Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application …	source
database-cloud-optimization-backend-architect (agent)	core	Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles …	source
database-cloud-optimization-database-optimizer (agent)	core	Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. …	source
database-migrations-database-optimizer (agent)	core	Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. …	source
database-admin (agent)	core	Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP/OCI database services, Infrastructure as Code, high availability, disaster recovery, performance …	source
database-cloud-optimization-cloud-architect (agent)	core	Expert cloud architect specializing in AWS/Azure/GCP/OCI multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, …	source
database-cloud-optimization-database-architect (agent)	core	Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalization strategies, migration …	source
auth-implementation-patterns	core	Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.	source
code-documentation-code-reviewer (agent)	core	Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with …	source
code-documentation-docs-architect (agent)	core	Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. Use PROACTIVELY for system documentation, …	source

Source: czlonkowski/n8n-skills

• Repository: https://github.com/czlonkowski/n8n-skills (commit 9ea3aa5, retrieved 2026-07-07)
• License: MIT

Skill	Tier	What it adds	Upstream
n8n-mcp-tools-expert	core	Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, managing credentials, auditing instance security, or using any n8n-mcp tool. Provides …	source
n8n-workflow-patterns	core	Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API …	source
n8n-code-javascript	core	Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node …	source
n8n-expression-syntax	core	Validate n8n expression syntax and fix common errors. Use when writing n8n expressions, using {{}} syntax, accessing $json/$node variables, troubleshooting expression errors, mapping data between nodes, or referencing webhook data in …	source
n8n-agents	adjacent	Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extractor — and whenever the user mentions AI agents, LLM with tools, tool …	source
n8n-validation-expert	adjacent	Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about …	source
n8n-binary-and-data	adjacent	Handle files and binary data in n8n correctly. Use when working with files, images, PDFs, attachments, uploads or downloads, base64, vision/multimodal input, or when an AI agent needs a file as tool input or output — and whenever the user …	source
n8n-code-python	adjacent	Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. Use this skill when the user specifically …	source
n8n-code-tool	adjacent	Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will …	source
n8n-error-handling	adjacent	Wire n8n error handling so failures are loud, structured, and recoverable. Use when building any webhook/API workflow, a scheduled or unattended workflow, or any path where a silent failure would drop user-visible work — and whenever the …	source

Source: NVIDIA/skills

• Repository: https://github.com/NVIDIA/skills (commit 153b14b, retrieved 2026-07-07)
• License: CC-BY-4.0 (skills/docs), Apache-2.0 (code)

Skill	Tier	What it adds	Upstream
nemo-rl-docs	core	Documentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or …	source
nemo-mbridge-multi-node-slurm	core	Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive …	source
tao-finetune-cosmos-reason	core	Cosmos3-Nano video QA supervised fine-tuning with FSDP parallelism. Use when training or evaluating video question-answering models, fine-tuning Cosmos3-Nano or compatible Cosmos Reason models with SFT/LoRA, or working with Cosmos-RL. …	source
earth2studio-discover	core	Find Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.	source
earth2studio-install	core	Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code, choosing models, or PhysicsNeMo questions.	source
nemo-automodel-model-onboarding	core	Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.	source
tilegym-monkey-patch-kernels-to-transformers	core	Integrate TileGym kernels into Hugging Face transformers models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weight methods prior to instantiating …	source
vss-manage-video-io-storage	core	Use to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams). Not for VLM inference or search.	source
cupynumeric-migration-readiness	core	Pre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer …	source
hsb-app	core	Discover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit …	source

Source: veniceai/skills

• Repository: https://github.com/veniceai/skills (commit de089fa, retrieved 2026-07-07)
• License: MIT

Skill	Tier	What it adds	Upstream
venice-characters	adjacent	Discover and use Venice public characters (persona-driven system prompts with a bound model). Covers GET /characters (search/filter/sort), /characters/{slug}, /characters/{slug}/reviews, the Character schema, and how to apply a character …	source
venice-api-keys	adjacent	Manage Venice API keys. Covers GET/POST/PATCH/DELETE /api_keys, GET /api_keys/{id}, GET /api_keys/rate_limits, GET /api_keys/rate_limits/log, the two-step /api_keys/generate_web3_key wallet flow, INFERENCE vs ADMIN key types, and per-key …	source
venice-api-overview	adjacent	High-level map of the Venice.ai API - base URL, authentication modes, endpoint categories, response headers, pricing model, error shape, and versioning. Load this first when starting any Venice integration.	source
venice-auth	adjacent	Authenticate to the Venice API with a Bearer API key or with an x402 / SIWE wallet. Covers header formats, the SIWE message fields, TTL and nonce rules, the venice-x402-client SDK, and how to choose between the two modes.	source
venice-embeddings	adjacent	Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practical usage for retrieval, clustering, and RAG.	source
venice-errors	adjacent	Handle Venice API errors correctly. Covers the StandardError / DetailedError / ContentViolationError / X402InferencePaymentRequired body shapes, every meaningful status code (400, 401, 402, 403, 415, 422, 429, 500, 503, 504), the 402 …	source
venice-image-edit	adjacent	Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose 1-3 images), /image/upscale (2-4x upscale + enhance), and /image/background-remove. Accepts base64, file upload, …	source
venice-image-generate	adjacent	Generate images with Venice. Covers POST /image/generate (Venice-native), POST /images/generations (OpenAI-compatible), GET /image/styles (style presets), request fields (prompt, dimensions, cfg_scale, seed, variants, style_preset, …	source
venice-responses	adjacent	Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported …	source