Deep-dive preparation for 1:1 meetings with direct reports. Surfaces recent work, wins, friction, wellbeing signals, and development goal progress, anchored in the org's performance framework, organizational values, and management best practices. Produces a prep sheet with suggested conversation topics, not a script.
Evidence gathering for performance review cycles. Gathers goal completion evidence, peer feedback, development progress, scope changes, and values alignment, organised along the org's performance framework dimensions, with organizational values as the 'how' lens. Surfaces evidence gaps. Never suggests ratings, only…
Periodic check on team dynamics, engagement signals, and development trajectory for all direct reports. Surfaces patterns across the team: who might need more challenge, who might need more support, who hasn't had a 1:1 recently. Uses two universal lenses: performance & growth, and wellbeing & connection. Outputs are…
Use when applying, resolving, clearing, or inspecting pending open-press @openpress-comment markers, including requests like /apply-comments, apply comment, resolve comments, read comments and modify the document, or remove resolved comment markers.
Use when upgrading an OpenPress workspace, checking or applying a newer framework version, responding to update notices, preparing before migration, reading migration notes, generating or implementing a migration plan, or looping through migration QA checkpoints until the workspace passes.
A browser debugging guide for inspecting Service objects in applications built with React and @rabjs/react. It uses Chrome DevTools, the browser’s built-in developer tools, to access the application’s Service container.
A guide to using the @rabjs/react library for React applications with observable state. It explains components that update when state changes, service classes, dependency injection, asynchronous state, and events.
A debugging guide for checking and controlling React Native apps on real phones or simulators through a local service. React Native is a way to build mobile apps with JavaScript and React.
Load when building or reviewing a FastAPI backend service — endpoints, project structure, Annotated style, return types, async/sync rules, persistence, concurrency, transactions, testing.
Drive an hssd-governed repo as the interactive MAESTRO — run the governed engagement loop (intake → iteration → engineering loop → adversarial verification) conversationally, using Claude Code's native subagents for the AI work and the hssd CLI for state. Use whenever the user wants to drive any phase of the loop in a…
Navigate organizational redesign for AI with a structured 13-skill toolkit that produces persistent artifacts in $HOME/.ai-first-kit/. Routes founders and leaders to the right specialist skill — coordination audit, organizational genome, specification writing, quality gates, governance, role design, political…
Produce a structured organizational diagnostic that quantifies time spent on specification vs coordination vs execution, saved as a persistent audit artifact to $HOME/.ai-first-kit/. Conducts a guided 5-question interview, classifies every workflow structure by actual function, and identifies highest-ROI automation…
Run a structured organizational design health check — operationalizing the governance learning loop and decision ledger by collecting operational evidence, measuring gate effectiveness, detecting genome drift, and producing an evolution audit with routed recommendations saved to $HOME/.ai-first-kit/. Maintains the…
Create, inspect, refine, and redesign structured FormaSpec projects through the formaspec MCP server. Use for exact triggers such as “Use FormaSpec”, “Design this with FormaSpec”, “Refine this selection with FormaSpec”, and “Redesign this with FormaSpec” whenever a user asks an agent to produce or revise an editable…
Receives a capability gap, runs the AI-first decision tree (4 yes/no questions), and routes to either design-agent (AI route) or a human-hire job spec (human route). The AI-first kernel of OPOS — every gap is evaluated for AI suitability before human hire.