session-report

Conversation-handoff document generator. Compacts the current conversation into a markdown handoff so a fresh agent can continue. References existing artifacts (PRDs, plans, ADRs, issues, commits) by path/URL — does not duplicate them. Enhanced from Matt Pocock's MIT-licensed handoff skill (https://github.com/mattpocock/skills) with: (1) stdlib Python tools (template generator, artifact deduplicator, skill recommender), (2) 3 reference docs citing 5+ authoritative sources each (handoff structure, deduplication discipline, next-session skill matching), (3) cs-handoff-author persona agent + /cs:handoff slash command. Matt's no-duplication discipline preserved verbatim per MIT. Use when user wants to hand off the current conversation to a fresh agent or starts a new session that picks up prior work.

Easily create hooks to prevent unwanted behaviors by analyzing conversation patterns

Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers: 'research [topic]', 'look into [topic]', 'what do we know about [topic]', 'investigate [topic]', 'find me information on [topic]', 'do some research on [topic]', 'I need to understand [topic]', or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.

Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR classification, and multi-method outlier detector.

EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist for compliance teams. Three deterministic tools: AI system risk classifier (Article 5 prohibited / Article 6 + Annex III high-risk / Article 50 limited-risk / minimal-risk per the binding regulation), conformity assessment planner (Article 43 Module A vs Module H + notified-body routing + Annex IV technical documentation checklist), obligation tracker (provider/deployer/importer/distributor obligations matrix per Title III Chapter 3 + GPAI obligations per Articles 51-55). 4 in-depth references: Titles I-XII Article-by-Article walkthrough, Annex III 8 high-risk categories with Article 6(2) carve-outs, GPAI obligations including systemic-risk threshold, cross-framework mapping to ISO 42001 + NIST AI RMF + GDPR. Stdlib-only. Built for compliance officers executing Article-level conformity work — not for executive AI strategy (see chief-ai-officer-advisor for that).