Development

Programmeertaal kiezen voor Nederlandse overheidssoftware: Python, Java, Go, JavaScript, TypeScript, taalkeuze, dev environment, best practices.

Expert knowledge base of team organization patterns for multi-agent AI systems and software engineering. Provides pattern selection guidance for scenarios including incident response, greenfield design, legacy migration, security audits, performance optimization, API design, data pipelines, testing, documentation, and code migration. This skill should be used when designing agent teams, selecting team topologies, choosing communication patterns, sizing teams, or determining optimal team struc...

Frontend voor Nederlandse overheid: NL Design System (NLDS), WCAG toegankelijkheid, digitoegankelijk, axe, screenreader, formulieren, kaartcomponenten.

API ontwerpen voor Nederlandse overheid: REST, OpenAPI, ADR (API Design Rules), webhooks, event-driven, OAS, API-gateway, NL GOV API.

Use when receiving feedback on code you implemented, responding to reviewer comments, deciding which review suggestions to implement, or pushing back on incorrect review feedback.

This skill should be used when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality".

Use when building React components, optimizing performance, analyzing bundle sizes, scaffolding projects, implementing accessibility, reviewing frontend code quality, performing visual overhauls, or designing UI/UX systems.

Use when users want to install or set up the atelier-pipeline multi-agent orchestration system in their project. Bootstraps all agent personas, rules, commands, references, and pipeline state files. Works for new and existing projects.

Use when reviewing pull requests, analyzing code quality, identifying issues, or generating review checklists. Covers TypeScript, JavaScript, Python, Go, Swift, and Kotlin.

This skill should be used when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs".

This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design".

Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the CLI skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.

Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.

Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.0.0, API version 2026-07). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string / dense_vector / sparse_vector), or compose with text-match filters ($match_phrase / $match_all / $match_any). Ships `scripts/ingest.py` for safe bulk ingestion...

Scan a state snapshot's memory dumps with YARA signatures to detect packers, crypto constants, malware, and more

Hunt for vulnerabilities in a running debuggee by analyzing imports/exports, triaging attack surface, and iteratively testing for bugs with PoC generation.

Use when the user specifies a task and a duration, and the work should be done iteratively by subagents over that time period

Trace execution (into or over calls) for N steps or until a condition, then analyze the recorded instruction log

Capture a full debuggee state snapshot (all committed memory regions + processor state) to disk for offline analysis

Manage .facts files — atomic, validatable truth statements about a project. Install, check, list, add, edit, remove, and lint facts via the CLI. ALWAYS read this skill when the user mentions facts in any capacity.

Operate on @draft facts — collaboratively refine them into precise, actionable @spec facts. Resolve ambiguities, fill gaps, eliminate contradictions, and sharpen labels until every fact is ready to implement. Use when asked to refine facts, clarify the spec, review facts for quality, or "work on facts" with the user.

Compare two state snapshots to identify register and memory changes between two points in time

Operate on @spec facts — implement them in code, then tag @implemented. Use when asked to implement facts, implement the spec, build from the fact sheet, make facts true, or work through unimplemented requirements.

Load, unpack, and analyze shellcode in x64dbg. Use this skill when the user wants to analyze shellcode, load a shellcode blob into a debugger, unpack encoded/encrypted shellcode, or perform static/dynamic analysis of shellcode payloads.