Skill UI

Builds evidence-linked slide registers and structured business stories for SMEs. Handles context-first intake, validates data sources, and produces CSV, SQL DDL, JSON Schema, or Notion mappings on request.

Reviews diffs, branches, and PRs for correctness, contract breaks, and operational risk, or performs evidence-based cleanup that preserves authorized behavior, public contracts, and domain ownership. Produces the smallest coherent change that belongs naturally in the target repository.

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.

Geolocates and chronolocates photos with tool-verified reasoning: metadata and OCR intake, reverse image search, candidate ranking, satellite and street-view matching, sun and shadow math. Outputs coordinates with error radius, evidence images and tiered confidence.

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.

A sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources. Use for multi-step CTF challenges, geolocation, event reconstruction, account verification, artifact interpretation, and infrastructure research.

This skill enables investigation of shipped applications, binaries, and packages by tracing features with evidence. It supports decompilation, version comparison, and reconstruction guidance, bypassing standard source-code analysis. Requires specific analysis engines or CLI fallbacks for static and runtime analysis.

Perform evidence-backed impact analysis before changing code, data, interfaces, or governance documents, and compare planned impact with actual diff after implementation. Covers call paths, data/schema, API contracts, tests, docs, ADRs, deployment, migration, and rollback. Use for cross-module or high-risk changes, database migrations, authentication, public interfaces, blast-radius questions, pre-change checks, and post-implementation alignment.

Manage stable domain terminology and separate business semantics from architecture decisions. Create CONTEXT.md for ambiguous terms or repeated explanations, and route irreversible decisions to existing Architecture Decision Records. Prevents implementation drift by clarifying language and ensuring traceability to code or business evidence.

Govern cross-module regression in large repositories with a REGRESSION.md ledger recording each module's downstream consumers and executable acceptance commands, then run affected modules and use exit codes as regression evidence.

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing test registry or TESTS.md. Use for test inventory, test gap analysis, unit/integration/contract/E2E/smoke classification, bug-to-test regression protection, consumer/provider contract testing, test-necessity review, and pre-delivery evidence review.