Launch a local web UI to render PDCA pipeline artifacts and session state.
npx skills add https://github.com/unclejobs-ai/second-claude-code --skill viewer
Please help me install this Agent Skill. Skill: viewer Source: https://github.com/unclejobs-ai/second-claude-code/tree/main/skills/viewer Command: npx skills add https://github.com/unclejobs-ai/second-claude-code --skill viewer
This Skill helps you verify and review PDCA pipeline outputs visually, so you can trust the rendered artifacts instead of relying only on JSON correctness.
state.json and artifacts/*.json and updates the UI via WebSocket.Start the viewer for your current PDCA session using the start-server command for the session directory and then open the returned URL in your browser.
High-intent search queries and answers about installing and using this skill.
To view PDCA pipeline artifacts in a browser, you can launch a local web UI that reads session state and renders markdown, charts, code, and flow diagrams. It watches state.json and artifacts JSON files to update the display in real time.
Inspecting PDCA research outputs requires a valid session directory containing state.json, artifacts/*.json, server-info, and server.pid. Without these files, the local web UI cannot render the session's research, draft, and analysis outputs correctly.
Real-time artifact rendering for PDCA session outputs works by watching state.json and artifacts/*.json files for changes. When updates are detected, the local web UI synchronizes via WebSocket to immediately display the latest markdown, charts, and diagrams.
Rendering PDCA flow diagrams and code inspection outputs requires a local web server. You must use the start-server command to launch the UI and open the returned URL, as the WebSocket connection needs an active server to display artifacts.
Markdown and chart artifacts may not render if the session directory lacks state.json, artifacts/*.json, server-info, or server.pid files. Ensure the PDCA run completed successfully and the correct session directory path is provided to the viewer.
The best way to visually verify analysis outputs from a PDCA pipeline is to open an interactive artifact viewer. This local web UI displays rendered markdown, charts, code, and flow diagrams, letting you visually trust outputs rather than checking JSON correctness.
CygnusfearQuery Axiom logs via APL to identify and prioritize errors and warnings.
enclawedGenerate shareable diffs from text or unified patches with viewer URLs and PNG or PDF artifacts.
samuelross99Audit React/Next.js components and data-fetching patterns for performance issues.
Wike-CHIManage MCP servers and tools via the mcporter CLI.