netdata/ai-viewer

Read-only real-time explorer for AI coding-agent session snapshots (ai-agent v2/v3, claude-code, codex, opencode). Workstation-only, single static binary.

2Stars on the repository
14Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

project-adapters

01

netdata/ai-viewer

Skill Claude CodeCodex

Step-by-step workflow for adding, modifying, or debugging a source-format adapter. Use whenever editing an adapter under internal/adapters, internal/canonical, or related fixture files.

2 yesterday A 39 tokens original MIT

project-coding

02

netdata/ai-viewer

Skill Claude CodeCodex

Apply ai-viewer coding standards for production-quality Go and TypeScript changes. Use for implementation, refactoring, runtime behavior changes, and any change where clean code, separation of concerns, modularity, or maintainability matters.

2 yesterday A 49 tokens original MIT

project-delegation

03

netdata/ai-viewer

Skill Claude CodeCodex

Helper-subagent patterns for ai-viewer. Use when bounded read-only investigation, summarization, or parallel context gathering would help. Do not use this skill to delegate implementation by default, and do not use helper subagents as external reviewer gates.

2 yesterday A 54 tokens original MIT

project-deployment

04

netdata/ai-viewer

Skill Claude CodeCodex

Install, run, and operate ai-viewer on the operator's workstation — the system install (/opt/ai-viewer, runs-as-operator, explicit --source flags, systemd units), the user install alternative, build/run/upgrade/uninstall commands, and the threat-model reasoning behind the run-as-operator decision. Use when installing…

2 yesterday B 105 tokens original MIT

project-frontend

05

netdata/ai-viewer

Skill Claude CodeCodex

Apply React/TypeScript/Vite patterns used in ai-viewer's frontend. Use when editing frontend/ — pages, components, API client, SSE handling, D3 visualizations.

2 yesterday A 40 tokens original MIT

project-go-backend

06

netdata/ai-viewer

Skill Claude CodeCodex

Apply Go-specific patterns used in ai-viewer for fsnotify watching, SQLite access, SSE streaming, and structured logging. Use when editing internal/ingest, internal/store, internal/presenter, internal/adapters, internal/canonical, or internal/obs.

2 yesterday A 57 tokens original MIT

netdata/ai-viewer

Skill Claude CodeCodex

Catalog of every automated quality gate ai-viewer enforces — commands, thresholds, and what to do when a gate fails. Use before claiming any work done, before any commit, when adding a new gate, or when investigating a CI failure. The runtime companion to .agents/sow/specs/quality-gates.md.

2 yesterday A 70 tokens original MIT

netdata/ai-viewer

Skill Claude CodeCodex

Run ai-viewer's external reviewer gates. Use on meaningful chunks of work, at least per SOW and per substantial SOW milestone: gap analysis, implementation plan, and implementation review. Reviewers are glm, minimax, kimi, mimo, deepseek, and qwen. They are gates, not implementers.

2 yesterday A 70 tokens original MIT

project-specs-sync

09

netdata/ai-viewer

Skill Claude CodeCodex

Keep ai-viewer specs synchronized with code. Use whenever a code change touches runtime behavior, defaults, schemas, contracts, file layouts, or external interfaces.

2 yesterday A 36 tokens original MIT

project-testing

10

netdata/ai-viewer

Skill Claude CodeCodex

Run, write, and maintain ai-viewer tests across Go backend and React frontend. Use when adding or changing tests, debugging CI failures, managing fixtures, or running benchmarks.

2 yesterday A 38 tokens original MIT

project-workflow

11

netdata/ai-viewer

Skill Claude CodeCodex

Master orchestration cycle for ai-viewer work — gap→plan→spec→test→code→gates→review→commit. The CTO writes implementation directly. Helper subagents are optional for bounded investigation, not the implementation norm. External reviewers are three milestone gates per meaningful feature, substantial batch, or SOW, not…

2 yesterday A 72 tokens original MIT