Agent skills by ruvnet

Run a workflow — drive an MCP workflow lifecycle (execute/pause/resume/cancel) or invoke + resume a native .claude/workflows/*.js orchestration via the Workflow tool

Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add…

Create a new Architecture Decision Record with sequential numbering and AgentDB registration

Build or rebuild the ADR index + dependency graph by running scripts/import.mjs (handles v3-style and plugin-style ADR formats; one Bash call vs hundreds of MCP round-trips)

Review code changes against accepted ADRs for compliance violations

Read back adr-patterns + adr-edges namespaces, surface dangling refs / supersede cycles / status mismatches; exit 1 on cycles

Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search

Generate API documentation from source code with JSDoc and OpenAPI support

Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake

Use learned patterns and current state to predict the optimal next action

Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md

Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model

Fill a web form by mapping field-name → value, with optional template lookup from browser-templates for known forms

Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action

Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift

DEPRECATED in v0.2.0 -- use browser-extract instead; this is a thin shim for backward compatibility, removed in v0.3.0

Visual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verification

UI test recipe -- composes browser-record (capture) + browser-replay (verify) so every test produces a replayable RVF artifact, not an ephemeral run

Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval

Define and manage cognitive patterns for agent reasoning and decision-making

Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table

Apply a simple code transform via agent-booster's WASM engine — sub-millisecond, deterministic, $0 (no LLM call). Companion to cost-booster-route.

Route tasks through hooks_route, partition by Agent Booster availability, and report Tier 1 bypass utilization with $0 cost

Read accumulated cost-tracking spend + budget config, compute utilization, emit 50/75/90/100% alert ladder