Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 ruvnet/ruflo에서 316개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
ruvnet/ruflo수집된 skill 316개 중 40개를 표시합니다.
Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
원문 언어: 영어
Route tasks via the 3-tier model selector and learned patterns; emits a routing rationale via hooks_explain
원문 언어: 영어
Publish or fetch learned patterns across projects via IPFS (Pinata) -- the cross-project pattern transfer that hooks_transfer enables
원문 언어: 영어
Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline
원문 언어: 영어
Detect and classify telemetry anomalies on Cognitum Seed devices. Use when investigating a device that's reporting odd metrics, before approving a firmware canary advancement, or when triaging fleet-wide health alerts.
원문 언어: 영어
Orchestrate firmware rollouts with canary deployment and anomaly-gated advancement
원문 언어: 영어
Create and manage Cognitum Seed device fleets with firmware policies
원문 언어: 영어
Register a Cognitum Seed device by endpoint and establish agent bridge
원문 언어: 영어
Verify witness chain integrity and detect provenance gaps
원문 언어: 영어
Analyze git diffs for risk scoring, reviewer recommendations, and change classification. Use when preparing a PR, reviewing a large or cross-module change, or before merging to assess risk and pick reviewers.
원문 언어: 영어
Advanced git workflows with branch management, conflict resolution, and PR lifecycle
원문 언어: 영어
Extract entities and relations from source files to build a knowledge graph
원문 언어: 영어
Pathfinder traversal of the knowledge graph starting from a seed entity
원문 언어: 영어
Schedule persistent background workers via CronCreate
원문 언어: 영어
Run Ruflo background workers using Claude Code native /loop scheduling
원문 언어: 영어
Ingest and normalize market data into OHLCV vectors with HNSW indexing
원문 언어: 영어
Detect and classify candlestick patterns from ingested OHLCV data
원문 언어: 영어
ADR-152 — weighted similarity between two harness fingerprints (genome + score JSON). Returns overall score in [0,1] plus per-component breakdown (cosine over 9 numerics, categorical agreement over 4 enums, jaccard over agent_topology). Unblocks ADR-151 §3.2…
원문 언어: 영어
Create a new sequentially numbered database migration with up/down SQL files
원문 언어: 영어
Validate pending migrations for foreign key consistency, rollback safety, and best practices
원문 언어: 영어
Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)
원문 언어: 영어
Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally
원문 언어: 영어
Regulator-grade feature attribution for any LSTM/Transformer signal — single-entry PageRank ranks the top-K features that drove the prediction (ADR-126 Phase 6, ADR-123 single-entry PR)
원문 언어: 영어
Mean-variance portfolio optimization via Conjugate Gradient — 40-60× faster than the legacy Neumann path (ADR-126 Phase 3, ADR-123 Wedge 8)
원문 언어: 영어
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
원문 언어: 영어
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal…
원문 언어: 영어
Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status
원문 언어: 영어
Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction
원문 언어: 영어
Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
원문 언어: 영어
Aggregate and display system metrics with anomaly detection for a time period
원문 언어: 영어
Trace agent execution by collecting spans and building a trace tree for a task
원문 언어: 영어
Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents
원문 언어: 영어
Validate a Claude Code plugin structure, frontmatter, and MCP tool references
원문 언어: 영어
Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search
원문 언어: 영어
SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
원문 언어: 영어
Cluster code by graph community detection via npx ruvector@0.2.25 hooks graph-cluster (spectral / Louvain)
원문 언어: 영어
Generate embeddings via npx ruvector@0.2.25 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index
원문 언어: 영어
Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in 0.2.25)
원문 언어: 영어
Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
원문 언어: 영어
Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
원문 언어: 영어