Anti-slop discipline for AI agent behavior across ALL domains — code, design/UI, security, writing, research, data, creative/media. Use whenever the agent risks doing unasked work, silently skipping part of what was asked, guessing instead of asking or checking, fabricating facts/citations/security claims, laundering unverified tool output as personal fact, hedging vaguely to dodge evidence, or letting an already-sent error stand uncorrected. Triggers: ai slop, slop, ngarang, jangan ngarang, unasked work, jangan kerjain yang belum diminta, kerja setengah, skip diam-diam, bukti bukan klaim, hallucination, halu, proofread, asal kerjain, klaim desain, klaim aman, ngarang sumber, ngarang riset, cacat logika, jawaban ngambang. Always read references/laws.md with this file; read the other references/ files when relevant.

Resolve common penetration testing issues in Ark. Use when fixing security vulnerabilities from pentest reports, security audits, or OWASP Top 10 issues.

Hyperflow memory manager. Use to view, search, add, edit, prune, or clear hyperflow project memory — "show memory", "search memory for X", "clear memory", "what does hyperflow remember about Y". CRUD over .hyperflow/memory/ only — never touches source code.

Lists Power Platform connections in the current environment. Use when you need a connection ID before adding a connector to a code app.

Apply IRQL graph functions to KQL or IRQL query results for Kusto Explorer visualization. Generates Lift_To_Graph mappings and composes Graph_Render_View, Graph_Fold_By_Property, Extract_Node_*, Enrich_Node_*, and Enrich_Graph_* calls. Accepts a supplied query or limited basic natural-language source request; it is not a general natural-language-to-KQL/IRQL skill. WHEN: Lift_To_Graph, Graph_Render_View, Graph_Fold_By_Property, IRQL graph enrichment, graph mapping for existing query results, icon-decorated graph, fold graph nodes. Use azure-kusto-graph for native make-graph analysis, graph-match, shortest paths, components, or persistent graphs.

Generate a FigJam project plan board from a PRD plus codebase context. Interactive flow: research → propose sections → per-section deep research → per-section content + block-shape proposal → create FigJam → skeleton → fill → diagrams → wrap. Each content block (section, nested section, intro callout, table, multi-column text, sticky column, diagram section, metadata strip) has its own subskill reference file. Use when the user asks for 'project plan in FigJam', 'interactive project plan', '/generate-project-plan', or provides a PRD and wants per-section confirmation on content + rendering.

Publish an IWSDK app to a public HTTPS origin so it can be installed as a PWA and packaged for the Meta Horizon Store. Use when deploying, hosting, or publishing the app, choosing a host, or when a file (web manifest, icons, .well-known/assetlinks.json) must reach an already-hosted site. Always asks first whether hosting already exists — recommends Vercel if not, and pauses with concrete upload steps if it does.

Create, run, schedule, and monitor Data Science Pipelines (Kubeflow Pipelines 2.0) on OpenShift AI. Use when: - "Run a pipeline in my project" - "Schedule a recurring pipeline" - "Check my pipeline run status" - "List pipeline runs and their logs" - "Set up the pipeline server" - "Delete a pipeline or pipeline run" Handles pipeline server setup, pipeline run submission from YAML, scheduling recurring runs, monitoring execution, and viewing step logs. NOT for creating data science projects (use /ds-project-setup). NOT for deploying models (use /model-deploy). NOT for model training jobs (use training skills).

Register, version, and manage ML models in the OpenShift AI Model Registry. Browse the Model Catalog, track model metadata, and promote models across environments. Use when: - "Register a new model in the registry" - "List registered models" - "What versions exist for my model?" - "Promote a model from dev to production" - "Show model artifacts and storage URIs" Handles model registration, versioning, metadata management, artifact tracking, and cross-environment promotion. NOT for deploying models (use /model-deploy). NOT for model performance monitoring (use /ai-observability).

Build typed, content-driven Nuxt applications with @nuxt/content. Use when working with content.config.ts, collections, queryCollection, Markdown or MDC rendering, content databases, hooks, custom sources, search, or Content v2 migrations.

Dylan's agent style on top of pstack: concise verified delivery, root causes over symptom patches, The Algorithm before design, plain /bro replies, live UI proof, reuse/simplify, and hard merge gates. Use for Dylan, /dyl-mode, or his style. "Get PR green" → /dyl-ready-pr. "Review this PR like me" → /dyl-review. Figma URL → /build-figma.

Write unit tests, component tests, and integration tests for AiderDesk using Vitest and React Testing Library. Use when creating new tests, adding test coverage, configuring mocks, setting up test files, or debugging failing tests.

Implements CSRF protection using synchronizer tokens, double-submit cookies, and SameSite attributes. Use when securing web forms, protecting state-changing endpoints, or implementing defense-in-depth authentication.

Survey a whole React codebase as a senior React engineer, using React Doctor's scan as evidence, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when the user asks to "improve the React code", "audit this codebase", "make this app faster / more robust", or wants a roadmap of fixes rather than a review of a single diff. For a regression check or a fix-it-now pass, use the `react-doctor` skill instead.

Use this skill when the user wants to convert a Prefect task that syncs Airbyte Cloud — AirbyteConnection block, trigger_sync_run_and_wait_for_completion, or AirbyteSyncResult — into an equivalent Orchestra pipeline task targeting Airbyte Cloud. Triggers: any mention of migrating or rewriting Prefect Airbyte tasks to Orchestra; any Prefect flow code importing from prefect_airbyte pointed at Airbyte Cloud.

Manage Coralogix SLO (Service Level Objective) definitions with the `cx slos` CLI — list and inspect SLOs, check whether targets and error budgets are healthy, and create, update, or delete SLO definitions from JSON. Use when the user asks to "list SLOs", "check SLO status", "is an SLO breaching", "error budget", "create an SLO", "update an SLO", "delete an SLO", or "service level objective".

Use when writing, changing, or reviewing Cucumber and Playwright tests under `e2e/`, including feature files, step definitions, support code, scenario tags, locators, and assertions. Do not use for Vitest, React Testing Library, backend tests, or generic browser automation outside the E2E suite.

Get account summary from Interactive Brokers including cash balance, buying power, and account value. Use when user asks about their account, balance, buying power, or available cash. Requires TWS or IB Gateway running locally.

Use when working with Harbor's `harbor exec` CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only verification; using map-reduce; writing or reviewing ExecConfig YAML/JSON/TOML; or debugging command behavior, config validation, and job outputs.

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.