Claude Skills by chrishuffman5

Create new Claude Code subagents (the .claude/agents/ kind, NOT skills). Use this skill whenever the user wants to create a subagent, agent, persona, specialist, role, or delegatable worker. Also use when the user says "create an agent", "make me an agent for X", "I need a specialist for Y", "set up a subagent", or wants to define a reusable AI persona with specific tool access, model selection, or permission boundaries. This skill ensures agents are created in the correct directory (.claude/...

Interactive orchestration pipeline that remodels an existing skills repo (or a pile of .claude/ assets) into a well-architected Claude Code plugin or marketplace repo, and plans greenfield plugins. Interviews the user on intent before acting, inventories existing skills/commands/agents/hooks, strategizes which components each plugin should ship (skill vs agent vs hook vs command vs MCP server), proposes an architecture for sign-off, scaffolds manifests and migrations, then delegates per-skill...

Multi-agent research-and-curation pipeline that builds or refreshes a technology skill for the domain-expert marketplace. The invoking session becomes a pure orchestrator: parallel Sonnet research agents WebFetch official documentation into a source-cited corpus under research/<skill>/, a gap audit closes coverage holes, then a single Opus curator distills the corpus into the skill (200–500 line SKILL.md, trigger-tuned frontmatter description, at least one references/ file, scripts/ when they...

Authoring Agent Skills — SKILL.md format and frontmatter, progressive disclosure and token budgeting, Anthropic's authoring best practices, bundling references/scripts, and packaging skills for Claude Code, claude.ai, and the Skills API. WHEN: \"write a SKILL.md\", \"create an Agent Skill\", \"skill frontmatter\", \"skill description isn't triggering\", \"progressive disclosure\", \"disable-model-invocation\", \"allowed-tools in a skill\", \"context: fork\", \"upload a custom skill\", \"conta...

Security engineering for LLM applications and AI agents: OWASP Top 10 for LLM Applications (2025), OWASP MCP Top 10 (Beta v0.1), prompt-injection and jailbreak defense, agent threat patterns (lethal trifecta, tool poisoning, confused deputy, exfiltration via tool results), the Claude Code trust/permission model, vendor guardrail and moderation options, and governance frameworks (Google SAIF, NIST AI RMF). WHEN: \"prompt injection\", \"indirect prompt injection\", \"jailbreak\", \"OWASP LLM To...

Building custom agents with the Claude Agent SDK (TypeScript `@anthropic-ai/claude-agent-sdk`, Python `claude-agent-sdk`): install/auth, `query()` vs multi-turn clients, the full Options surface, in-process custom tools, wiring external MCP servers, permission evaluation order and `canUseTool`, SDK hooks, sessions/resume/fork/SessionStore, programmatic subagents, structured outputs, hosting and multi-tenant isolation, cost tracking. WHEN: \"Agent SDK\", \"claude-agent-sdk\", \"@anthropic-ai/c...

Claude Messages API expert: current model IDs and pricing (Fable 5, Opus 5, Sonnet 5, Haiku 4.5 and legacy 4.x), context windows and max output, custom tool use and the tool_use/tool_result round trip, server tools (web search, web fetch, code execution, tool search, advisor, MCP connector) and client tools (bash, text editor, computer use, memory), SSE streaming and delta types, prompt caching breakpoints and TTLs, the Message Batches API, the Files API, token counting, rate limits and spend...

Claude Code harness operations end-to-end: install/auth precedence, settings.json scopes incl. server-managed settings, permission rules and all permission modes, hooks, subagents, skills, plugins/marketplaces, MCP client config, headless `claude -p` and GitHub Actions, enterprise deployment (Bedrock/Vertex/devcontainers), CLAUDE.md memory, slash commands, and OpenTelemetry monitoring. WHEN: \"Claude Code\", \"claude -p\", \"--bare\", \"settings.json\", \"managed-settings.json\", \"server-man...

OpenAI Codex harness operations end-to-end: CLI install and sign-in, layered `config.toml` (user/project/profile/system) and its key catalog, approval policies vs sandbox modes, `AGENTS.md` discovery and merge order, Codex Skills (`.agents/skills`, `$skill`), MCP server wiring, `codex exec` headless/CI and the Codex GitHub Action, Codex cloud tasks and environments, git worktrees, `/review` and `@codex` PR reviews, the IDE extension, model IDs and reasoning effort, and enterprise `requirement...

Cursor editor and its agents end-to-end: Agent/Plan/Ask modes and checkpoints, Run Modes and `.cursor/permissions.json`, sandboxing, the `.cursor/rules/*.mdc` rule format and AGENTS.md precedence, @-mention context and codebase indexing, Tab completions, `.cursor/mcp.json`, `.cursor/hooks.json` lifecycle hooks, Cloud/background agents and `.cursor/environment.json`, the `cursor-agent` CLI incl. headless CI, Agent Review/Bugbot, model pools and Max Mode, and enterprise SSO/SCIM/Privacy Mode. W...

Designing and maintaining evaluations for LLM prompts, agents, and Agent Skills: success criteria, test-set composition, code/LLM-judge/human graders, trajectory and tool-use grading, trigger evals, regression suites, eval saturation. WHEN: \"eval\", \"evaluation suite\", \"LLM-as-judge\", \"grader\", \"rubric grading\", \"pass@k\", \"pass^k\", \"test set for my prompt\", \"how do I know my agent got better\", \"trigger evals\", \"trace grading\", \"oaieval\", \"OpenAI Evals API\", \"benchmar...

Training and tuning LLMs — Unsloth LoRA/QLoRA/full fine-tuning, GRPO reinforcement learning, VRAM sizing, hyperparameters (rank, alpha, learning rate, epochs, batch), export to GGUF/vLLM/Ollama/merged weights, plus hosted tuning (OpenAI fine-tuning API, Vertex AI Gemini SFT). WHEN: \"fine-tune a model\", \"Unsloth\", \"LoRA\", \"QLoRA\", \"LoRA rank\", \"lora_alpha\", \"GRPO\", \"train a reasoning model\", \"reward function\", \"save_pretrained_gguf\", \"push_to_hub_merged\", \"merged_16bit\"...

GitHub Copilot end-to-end across every surface: IDE chat and agent mode (VS Code chat surfaces, `settings.json` keys, custom agents and handoffs, JetBrains cloud-agent integration), the asynchronous cloud/coding agent (issue assignment, `@copilot`, session limits, `copilot-setup-steps.yml`, the integrated firewall, runner selection, automations, MCP entry points), Copilot CLI (commands, slash commands, tool-approval flags), repository customization file formats with exact syntax (`.github/cop...

Building agents with Google ADK (Agent Development Kit): project scaffolding and `root_agent` conventions, LlmAgent parameters, workflow agents (Sequential/Parallel/Loop) and custom BaseAgent orchestration, function tools and `ToolContext`, `McpToolset` and `OpenAPIToolset`, multi-agent collaboration modes and sub-agent delegation, sessions/state prefixes/memory/artifacts, the six lifecycle callbacks, `adk run`/`adk web`/`adk api_server`, `adk eval` metrics and evalset format, deployment via ...

Operating LLM inference through clouds and aggregators rather than a vendor's own API: Amazon Bedrock (Converse/ConverseStream vs InvokeModel vs the bedrock-mantle endpoint, Marketplace entitlement and the Anthropic first-time-use form, cross-region inference profiles, Provisioned Throughput, Guardrails, PrivateLink), Google Cloud Vertex AI / Gemini Enterprise Agent Platform (publisher-model rawPredict endpoints, global vs multi-region vs regional hosts, Provisioned Throughput), Microsoft Fou...

TypeSafe AI's Jev System One model for typed software decisions: Choice/Score/Noul question primitives, state design, confidence gating, the direct api.typesafe.ai /v1/systemone API, typesafe-sdk (Python) and @typesafe-ai/sdk (JS), Cloudflare Workers AI typesafe/jev (binding, REST, AI Gateway), Vercel AI Gateway/OpenRouter/LiteLLM routes, errors incl. 401-vs-403, limits, pricing, Jev 1.13 weaknesses, prompt-injection risk. WHEN: \"jev\", \"Jev 1.13\", \"TypeSafe\", \"typesafe.ai\", \"typesafe...

Model Context Protocol expert: spec revisions (2025-11-25 stable, 2026-07-28 draft), client-host-server architecture, stdio and Streamable HTTP transports and message flow, server primitives (tools/resources/prompts), client capabilities (elicitation, deprecated sampling/roots), OAuth 2.1 authorization (RFC 9728 discovery, RFC 8707 audience binding), protocol-level security mitigations, building servers with the official SDKs, and consuming MCP from Claude Code, the Claude API MCP connector, ...

Cross-vendor frontier-model catalog and capability-tier choice as of 2026-08-05 — exact model IDs, per-MTok pricing, context/output limits, knowledge cutoffs, deprecation and retirement schedules, and Bedrock/Vertex/Foundry availability across Anthropic Claude, OpenAI GPT, and Google Gemini. WHEN: \"which model should I use\", \"Opus vs Sonnet vs Haiku\", \"GPT-5.6 Sol vs Terra vs Luna\", \"Gemini Pro vs Flash vs Flash-Lite\", \"what is the model ID for\", \"model pricing\", \"cost per millio...

Building agents with the OpenAI Agents SDK in Python (`openai-agents`) and TypeScript (`@openai/agents`): the Agent class and model defaults, function/hosted/built-in tools, human-in-the-loop approvals and RunState, MCP servers (stdio, Streamable HTTP, hosted), handoffs and manager/agents-as-tools orchestration, input/output/tool guardrails, Sessions vs conversationId vs previousResponseId, Runner/RunConfig, streaming events, tracing, error handling, realtime and voice agents, and deployment....

OpenAI platform API expert: the Responses API (`POST /v1/responses`) as the primary surface, Chat Completions migration posture and the Assistants API sunset, current model IDs and per-MTok pricing (GPT-5.6 sol/terra/luna, GPT-5.x, GPT-4.1, GPT-4o, o-series, embeddings, realtime, image, Sora), function tools and strict mode, built-in tools (web search, file search, code interpreter, computer use, image generation), Structured Outputs via `text.format`, SSE streaming events, conversation state...

Cross-technology entry point for agentic AI: choosing the implementation layer (harness vs Agent SDK vs raw model API vs managed agents), workflow-vs-agent architecture and the five workflow patterns, multi-agent orchestration, context engineering, comparing the coding-agent harness landscape (Claude Code, OpenAI Codex, GitHub Copilot, Cursor, pi, Google Gemini CLI), and enterprise agent rollout. WHEN: \"how should we build this agent\", \"agent or workflow\", \"agent architecture\", \"prompt...

pi (pi.dev) harness operations end-to-end — Earendil's minimal open-source coding agent: install/auth, the four modes (TUI, `-p`/`--mode json`, `--mode rpc`, embedded SDK), settings precedence and models.json, AGENTS.md/SYSTEM.md context, project trust, TypeScript extensions and packages, 15+ providers with mid-session switching, tree-structured sessions, compaction, and its deliberate exclusions (no MCP, sub-agents, plan mode, permission popups, to-dos, background bash) plus the extension-ba...

Claude Code plugin and marketplace engineering: `plugin.json` and `marketplace.json` manifests, component layout (skills, agents, hooks, MCP/LSP, monitors, themes, bin), plugin sources and hosting, team/enterprise rollout and lockdown, plugin dependencies, and versioning/release mechanics for a plugin and the skills and agents it ships. WHEN: \"plugin.json\", \"marketplace.json\", \"plugin marketplace\", \"claude plugin validate\", \"claude plugin install\", \"claude plugin init\", \"--plugin...

Isolation and egress control for running coding agents safely — Claude Code's Bash sandbox (Seatbelt/bubblewrap/socat proxy), @anthropic-ai/sandbox-runtime, dev containers with default-deny iptables firewalls, hardened Docker/gVisor/Firecracker, egress allowlists, and credential-injection proxies. WHEN: \"sandbox Claude Code\", \"/sandbox\", \"bubblewrap\", \"Seatbelt\", \"sandbox-runtime\", \"srt\", \"init-firewall.sh\", \"devcontainer firewall\", \"egress allowlist\", \"block agent network ...

Building the dataset that a fine-tune or preference-optimization run consumes: exact JSONL/chat-template shapes (OpenAI SFT + DPO, Hugging Face TRL type/format matrix, Unsloth Alpaca/ShareGPT/ChatML, Gemini/Vertex contents-parts), dataset types (instruction, conversational, preference, unpaired preference, stepwise/PRM), documented size floors, quality and split practices, synthetic-data generation, dedup/decontamination pipeline construction, PII taxonomies, and dataset licensing metadata. W...

DuckDB as an analytics and OLAP engine: analytical query patterns, Parquet/Arrow analytics, BI tool integration (Tableau, Power BI, Superset via JDBC/ODBC), local-first analytics, and data warehouse replacement at small-to-medium scale. Use when connecting DuckDB to a BI tool, running OLAP on files, or evaluating DuckDB as a warehouse replacement. WHEN: \"DuckDB analytics\", \"DuckDB OLAP\", \"DuckDB Parquet analytics\", \"DuckDB BI\", \"DuckDB Tableau\", \"DuckDB Power BI\", \"DuckDB Superse...

Grafana for analytics and BI-style dashboarding: dashboard design, data source configuration, alerting, provisioning as code, plugin management, and the LGTM stack, from the dashboarding/reporting angle. Use for building or troubleshooting Grafana dashboards, panels, alerting rules, or provisioning. WHEN: \"Grafana\", \"Grafana dashboard\", \"Grafana panel\", \"Grafana alerting\", \"Grafana data source\", \"Grafana Cloud\", \"Grafana provisioning\", \"Grafana Terraform\", \"PromQL\", \"LogQL\...

Google Cloud Looker expert. Deep expertise in LookML semantic modeling, Explores, derived tables, caching with datagroups, embedded analytics, governance, Git-based development workflows, and Gemini AI integration. WHEN: \"Looker\", \"LookML\", \"LookML model\", \"LookML view\", \"LookML explore\", \"LookML refinement\", \"LookML extends\", \"Looker Explore\", \"Looker dashboard\", \"Looker embed\", \"Looker SDK\", \"Looker API\", \"Looker Studio\", \"Looker Studio Pro\", \"Open SQL Interface...

Metabase expert. Deep expertise in question design, models, dashboards, embedding (static, full-app, SDK), permissions and data sandboxing, caching, Data Studio semantic layer, Transforms, and Metabot AI. WHEN: \"Metabase\", \"Metabase question\", \"Metabase query builder\", \"Metabase SQL\", \"Metabase model\", \"Metabase dashboard\", \"Metabase embed\", \"Metabase SDK\", \"Metabase embedding\", \"static embedding\", \"guest embed\", \"full-app embedding\", \"Metabase permissions\", \"data s...

Cross-platform data analytics, business intelligence, and reporting guidance: data visualization, OLAP, semantic modeling, dashboard design, technology selection, and reporting theory. Use for technology-agnostic questions (which BI tool, star schema design, chart selection); route to a specific tool's skill for tool-specific syntax or config. WHEN: \"analytics\", \"BI\", \"business intelligence\", \"dashboard\", \"reporting\", \"data visualization\", \"OLAP\", \"which BI tool\", \"star schem...

Microsoft Power BI expert. Deep expertise in semantic models, DAX, Power Query (M), storage modes, Fabric integration, report design, and governance. WHEN: \"Power BI\", \"Power BI Desktop\", \"Power BI Service\", \"DAX\", \"DAX formula\", \"DAX measure\", \"CALCULATE\", \"filter context\", \"row context\", \"Power Query\", \"M language\", \"query folding\", \"VertiPaq\", \"DirectQuery\", \"Direct Lake\", \"semantic model\", \"Power BI dataset\", \"Power BI report\", \"Power BI dashboard\", \...

Expert coverage of Qlik Sense across all deployment models (Cloud, Enterprise on Windows, Enterprise on Kubernetes). Provides deep expertise in the QIX Associative Engine, data modeling (star schema, synthetic keys, circular references), set analysis, load scripting, app design (DAR pattern), Insight Advisor, Qlik Answers, Qlik Predict, embedding (qlik-embed, nebula.js, enigma.js), section access, governance, and performance optimization. WHEN: \"Qlik\", \"Qlik Sense\", \"QIX Engine\", \"Qlik...

Expert coverage of SQL Server Analysis Services (SSAS) across all versions. Provides deep expertise in Tabular and Multidimensional models, VertiPaq engine, DAX/MDX, processing strategies, and deployment. WHEN: \"SSAS\", \"Analysis Services\", \"Tabular model\", \"Multidimensional model\", \"VertiPaq\", \"DAX query\", \"DAX measure\", \"MDX query\", \"OLAP cube\", \"DirectQuery\", \"calculation group\", \"SSAS processing\", \"SSAS partition\", \"row-level security RLS\", \"XMLA endpoint\", \"...

Expert coverage of SQL Server Reporting Services (SSRS) across all versions. Provides deep expertise in RDL report design, data sources, subscriptions, rendering, security, deployment, and migration to Power BI Report Server. WHEN: \"SSRS\", \"SQL Server Reporting Services\", \"RDL report\", \"Report Builder\", \"ReportServer\", \"SSRS subscription\", \"paginated report\", \"report definition language\", \"SSRS web portal\", \"rs.exe\", \"ReportingServicesTools\", \"SSRS migration\", \"Power ...

Expert coverage of Apache Superset (5.x through 6.x). Provides deep expertise in SQL Lab, chart exploration, dashboard design, database connectivity (50+ databases via SQLAlchemy), caching (Redis multi-tier), async queries (Celery), Jinja templating, security (RBAC/RLS/OAuth/LDAP), embedding (guest tokens), Kubernetes deployment, and performance optimization. WHEN: \"Superset\", \"Apache Superset\", \"SQL Lab\", \"Superset dashboard\", \"Superset chart\", \"Superset embedding\", \"superset_co...

Expert coverage of Tableau across all versions. Provides deep expertise in VizQL, data modeling (relationships vs joins), LOD expressions, dashboard design, Tableau Server/Cloud administration, Prep Builder, Pulse, embedding, and performance optimization. WHEN: \"Tableau\", \"VizQL\", \"Tableau Desktop\", \"Tableau Server\", \"Tableau Cloud\", \"Tableau Prep\", \"Tableau Pulse\", \"LOD expression\", \"FIXED expression\", \"INCLUDE expression\", \"EXCLUDE expression\", \"table calculation\", \...

Expert coverage of ThoughtSpot across all deployment models (Cloud and Software). Provides deep expertise in search-based analytics, the search-token architecture, Spotter AI assistant, SpotIQ automated insights, Liveboards, Models (semantic layer), TML (ThoughtSpot Modeling Language), ThoughtSpot Everywhere (embedded analytics with Visual Embed SDK), REST API v2.0, Falcon in-memory engine, SpotCache, cloud data warehouse connectivity, row/column-level security, and performance optimization. ...

GraphQL covering schema design, type system, execution model, Apollo Server/Client, Federation 2.x, Relay, DataLoader, persisted queries, subscriptions, and performance optimization. Use for \"GraphQL\", \"Apollo Server\", \"Apollo Client\", \"Federation\", \"subgraph\", \"supergraph\", \"DataLoader\", \"N+1\", \"schema design\", \"SDL\", \"resolver\", \"mutation\", \"subscription\", \"Relay\", \"Strawberry\", \"Hot Chocolate\", \"Mercurius\", \"graphql-yoga\", \"persisted queries\", \"intros...

gRPC 1.x covering Protocol Buffers, service definitions, streaming patterns, channels, interceptors, metadata, deadlines, error model, load balancing, health checking, retry policies, and performance tuning. Use for \"gRPC\", \"protobuf\", \"Protocol Buffers\", \"proto3\", \"protoc\", \"Buf\", \"gRPC streaming\", \"bidirectional streaming\", \"gRPC interceptor\", \"gRPC metadata\", \"gRPC deadline\", \"gRPC health check\", \"gRPC load balancing\", \"gRPC-Web\", \"Connect protocol\", \"grpc-ga...

OData 4.x covering Entity Data Model, system query options ($filter, $select, $expand, $orderby, $apply), CSDL metadata, batch requests, functions/actions, and Microsoft/SAP ecosystem integration. Use for \"OData\", \"$filter\", \"$select\", \"$expand\", \"$orderby\", \"$apply\", \"$count\", \"$search\", \"$batch\", \"EDM\", \"CSDL\", \"$metadata\", \"OData query\", \"lambda operator\", \"any\", \"all\", \"navigation property\", \"deep insert\", \"Power BI OData\", \"SAP OData\", \"OData acti...

Cross-protocol API and real-time communication strategy: protocol selection (REST vs GraphQL vs gRPC vs OData vs WebSocket vs SSE vs SignalR vs Socket.IO), API gateway design, versioning strategy, authentication across protocols, and multi-protocol architecture. Use when the question is strategic or comparative — \"API design\", \"which protocol\", \"REST vs GraphQL\", \"WebSocket vs SSE\", \"API gateway\", \"API versioning\", \"CORS\", \"protocol comparison\", \"real-time architecture\", \"m...

REST API design covering OpenAPI 3.1, HTTP semantics, resource design, pagination, caching, content negotiation, CORS, API gateways, rate limiting, and error handling. Use for \"REST API\", \"OpenAPI\", \"Swagger\", \"HTTP methods\", \"status codes\", \"CORS\", \"pagination\", \"API versioning\", \"rate limiting\", \"API gateway\", \"Kong\", \"APIM\", \"API design\", \"HATEOAS\", \"content negotiation\", \"ETag\", \"caching\", \"idempotency key\", \"RFC 9457\", \"Problem Details\", \"JSON:API...

ASP.NET Core SignalR covering .NET 8, 9, and 10. Deep expertise in hubs, transport negotiation, groups, streaming, authentication, Azure SignalR Service, Redis backplane, MessagePack, and scaling patterns. Use for \"SignalR\", \"hub\", \"HubContext\", \"SignalR group\", \"SignalR streaming\", \"Azure SignalR Service\", \"SignalR backplane\", \"SignalR Redis\", \"SignalR authentication\", \"SignalR reconnect\", \"MessagePack\", \"SignalR scale-out\", \"strongly typed hub\", \"IHubContext\", \"...

Socket.IO 4.x covering namespaces, rooms, acknowledgements, adapters, scaling, connection state recovery, middleware, TypeScript types, and multi-server deployment. Use for \"Socket.IO\", \"socket.io\", \"rooms\", \"namespaces\", \"Socket.IO adapter\", \"Redis adapter\", \"Socket.IO scaling\", \"Socket.IO middleware\", \"Socket.IO authentication\", \"Engine.IO\", \"Socket.IO reconnect\", \"emitWithAck\", \"Socket.IO admin\", \"connection state recovery\", \"volatile emit\", \"Socket.IO TypeSc...

Server-Sent Events covering the EventSource API, text/event-stream format, auto-reconnection, Last-Event-ID resumption, named events, server implementations across Node.js/Python/Go/.NET/Rust, LLM streaming patterns, and infrastructure configuration. Use for \"SSE\", \"Server-Sent Events\", \"EventSource\", \"text/event-stream\", \"Last-Event-ID\", \"event stream\", \"LLM streaming\", \"AI streaming\", \"token streaming\", \"server push\", \"live feed\", \"log streaming\", \"progress events\"...

WebSocket protocol covering RFC 6455, opening handshake, frame format, close codes, extensions (permessage-deflate), subprotocols, browser API, server implementations, authentication patterns, and reconnection strategies. Use for \"WebSocket\", \"ws\", \"wss\", \"RFC 6455\", \"WebSocket handshake\", \"WebSocket close code\", \"WebSocket frame\", \"ping pong\", \"permessage-deflate\", \"WebSocket subprotocol\", \"WebSocket authentication\", \"WebSocket reconnect\", \"bufferedAmount\", \"WebSoc...

Expert skill for ASP.NET Core Web API across .NET 8, 9, and 10. Covers middleware pipeline, dependency injection, Kestrel, routing, controllers vs Minimal APIs, model binding, filters, configuration, error handling, and deployment. WHEN: \"ASP.NET Core\", \"ASP.NET\", \".NET Web API\", \"Kestrel\", \"Minimal API\", \"controller API\", \"[ApiController]\", \"MapGet\", \"MapPost\", \"middleware pipeline\", \"UseRouting\", \"UseAuthorization\", \"ProblemDetails\", \"IExceptionHandler\", \"output...

Deep-dive skill for ASP.NET Core Minimal APIs across .NET 6-10. Covers architecture (RequestDelegateFactory, RDG), route handlers, route groups, parameter binding, endpoint filters, validation, TypedResults, OpenAPI integration, organizing at scale, and when controllers win. WHEN: \"Minimal API\", \"MapGet\", \"MapPost\", \"MapGroup\", \"route group\", \"endpoint filter\", \"IEndpointFilter\", \"TypedResults\", \"Results<T1,T2>\", \"parameter binding\", \"[AsParameters]\", \"[FromForm]\", \"[...

Expert skill for Django web framework across versions 4.2 LTS, 5.2 LTS, and 6.0. Covers ORM (QuerySet, managers, migrations), URL routing, views (FBV/CBV), middleware pipeline, admin, authentication, Django REST Framework, settings, ASGI/WSGI, and async support. WHEN: \"Django\", \"Django ORM\", \"QuerySet\", \"Django REST Framework\", \"DRF\", \"Django admin\", \"Django migrations\", \"makemigrations\", \"Django middleware\", \"Django views\", \"Django auth\", \"Django signals\", \"Django fo...

Expert skill for Express.js web framework development across Express 4.x and 5.x. Covers middleware chain, routing, error handling, request/response lifecycle, template engines, security (Helmet, CORS), body parsing, TypeScript setup, testing, and deployment. WHEN: \"Express\", \"express.js\", \"express middleware\", \"app.use\", \"app.get\", \"app.post\", \"express router\", \"middleware ordering\", \"express error handler\", \"req.params\", \"req.query\", \"req.body\", \"res.json\", \"res.s...