Skill UI

Structured internal communication log for tracking meetings, town halls, and announcements. Covers channels, cadence, ownership, and action items. Generates CSV, SQL, JSON, or Notion templates on request to standardize comms processes.

Run a local process inside a live Kubernetes cluster's network, environment and traffic with mirrord, so code changes are tested against real services, databases and queues without building or deploying an image.

Builds the smallest useful employee master data setup for a business. Produces CSV, SQL DDL, JSON Schema, and Notion mapping on request from one field list. Never holds or processes real employee data.

Designs a minimal performance review system for SMEs, capturing cycle, content, and process. Generates CSV, SQL, JSON Schema, or Notion artifacts on request, referencing KPI and OKR data. Ideal for appraisals, review cycles, and employee evaluation tracking.

The Recruitment Pipeline skill helps businesses track the full hiring process: candidates, positions, stages, sources, applied and interview dates, interview scores, notice periods, and offers. It provides minimal recommendations first, then builds artifacts like CSV, SQL, JSON, or Notion mappings on request, ideal for SME hiring tracking.

Generates and registers standard operating procedure (SOP) and company wiki templates with fields like title, category, department, owner, version and review dates. Produces CSV, SQL, JSON or Notion outputs for process documentation.

This skill helps identify explanatory attributes or hypotheses for variations in process metrics such as duration, waiting time, utilization, and rework. It involves checking metadata correlations, statistical evidence, and cohort comparisons to distinguish competing explanations. The method emphasizes evidence-based analysis, avoiding silent assumptions, and framing findings as testable hypotheses rather than definitive causal claims. It supports structured investigation of process efficiency and bottlenecks using specific analytical tools and frozen baseline scopes.

Guides analysis of object-centric processes using OCPM tools, including object types, executions, and edges. Provides filter construction for timeframes and delays, emphasizing evidence-based conclusions.

Guides investigating common or slow process variants, cases with repeated work, and exact-case queries in Process Mining. Provides step-by-step tool calls for variant metrics, rework filtering, and attribute-based case selection, adhering to shared contracts and investigation methods.

This skill enables comparing process cohorts, departments, or time periods using matched definitions. It involves fixing outcome definitions, metrics, and aggregations while freezing baselines. Users should use specific API calls to retrieve metrics and statistics for matched pairs, ensuring reproducibility and avoiding data leakage between exploratory and baseline filters. It supports analyzing before-and-after results with strict time window controls.

Guides investigation of broad process mining questions, observed patterns, or competing explanations across analytical perspectives, using an evidence loop to test claims and route to specialists.

Security hardening guidance for AI agent frameworks processing untrusted content, invoking tools, writing files, managing identifiers, or handling credentials. Use when building or reviewing agent runtimes, autonomous workers, tool gateways, memory services, or multi-tenant deployments.