aria_skills/market_data/SKILL.md
📈 Cryptocurrency market data and analysis for Crypto Trader
npx skillsauth add najia-afk/aria_moltbot aria-marketdataInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Cryptocurrency market data and analysis. Get prices, OHLCV data, technical indicators, sentiment analysis, price alerts, and market overviews.
exec python3 /app/skills/run_skill.py market_data <function> '<json_args>'
Get current price for a trading pair.
exec python3 /app/skills/run_skill.py market_data get_price '{"symbol": "BTC/USDT"}'
Get OHLCV candlestick data.
exec python3 /app/skills/run_skill.py market_data get_ohlcv '{"symbol": "BTC/USDT"}'
Calculate technical indicators.
exec python3 /app/skills/run_skill.py market_data calculate_indicators '{"symbol": "BTC/USDT", "indicators": ["rsi", "macd"]}'
Analyze market sentiment for a symbol.
exec python3 /app/skills/run_skill.py market_data analyze_sentiment '{"symbol": "BTC"}'
Set a price alert.
exec python3 /app/skills/run_skill.py market_data set_alert '{"symbol": "BTC/USDT", "price": 50000, "direction": "above"}'
Get overall market overview.
exec python3 /app/skills/run_skill.py market_data get_market_overview '{}'
tools
# aria-working-memory Persistent short-term memory operations for Aria runtime context. ## Purpose - Store, retrieve, rank, checkpoint, and prune working memory. - Provide high-relevance context for decision and response flows. ## Main Tools - `remember` - `recall` - `get_context` - `checkpoint` - `restore_checkpoint` - `forget` - `update` - `reflect` - `sync_to_files`
development
```skill --- name: aria-unified-search description: "🔎 RRF-merged search across semantic + graph + memory backends" metadata: {"aria": {"emoji": "🔎"}} --- # aria-unified-search Unified search engine that queries semantic memories (pgvector cosine), knowledge graph (ILIKE), and traditional memories (text match), then merges results via Reciprocal Rank Fusion (RRF) with content-hash deduplication. ## Architecture ``` Query ↓ (parallel to 3 backends) ├── SemanticBackend (pgvector cosi
tools
# aria-telegram Telegram Bot API integration skill. ## Purpose - Send and reply to messages through bot credentials. - Fetch updates and basic bot metadata. ## Main Tools - `send_message` - `reply_to_message` - `get_updates` - `get_me`
tools
# aria-sprint-manager Sprint planning and board flow management skill. ## Purpose - Operate goal board as Product Owner. - Move, prioritize, and report sprint progress. ## Main Tools - `sprint_status` - `sprint_plan` - `sprint_move_goal` - `sprint_report` - `sprint_prioritize`