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Found 161 Skills
Help developers build with Chainlink Data Streams, including credentials guidance, report decoding, REST and WebSocket report retrieval with official Go/Rust/TypeScript SDKs, High Availability streaming, on-chain report verification, real-time frontend displays, report schema guidance, SQLite persistence, and timestamp lookback. Use this skill whenever the user mentions Chainlink Data Streams, Streams Direct, Data Streams reports, report schemas, report decoding, data-streams-sdk, or real-time low-latency market data from Chainlink.
Pre-indexed code knowledge graph (MCP, SQLite + tree-sitter) for faster, lower-token exploration of brownfield codebases. Use when starting work on a repo larger than ~500 files or when the task involves cross-file traversal — "where is X used", "what calls Y", "what breaks if I change Z", "trace flow from A to B", "explain this subsystem". Skip for single-file edits or sessions shorter than the cold-start cost. Triggers include "codegraph", "code graph", "index this repo", "where is X defined", "find callers of", "callees of", "blast radius of changing X", "explore this codebase". Replaces grep + Read loops with O(1) SQLite lookups and FTS5 search via 8 MCP tools.
Query Apple Health SQLite database for vitals, activity, sleep, and workouts. Supports Markdown, JSON, and FHIR R4 output formats. This skill should be used when analyzing health metrics, generating health reports, answering questions about fitness or sleep patterns, or exporting health data in standard formats.
Automates Apple Voice Memos (Mac Catalyst, no dictionary) via JXA using filesystem/SQLite access and System Events UI scripting. Use when asked to "automate Voice Memos", "export voice recordings", "access Voice Memos database", or "transcribe voice memos".
Learn how to build and utilize a graph database within your Flutter applications using SQLite and the Drift package to model relationships between data.
Guide on Prisma, SQLite, and LiteFS for Epic Stack
Fetch and persist article full text for RSS entries already stored in SQLite by ai-tech-rss-fetch. Use when backfilling or incrementally syncing body text from entries.url or entries.canonical_url into a companion table for downstream indexing, retrieval, or summarization.
Full-stack hybrid memory system with vector + keyword search. Stores embeddings in SQLite with FTS5 for BM25 keyword search and cosine similarity. Enables semantic memory recall for agents.
Record transaction flow in accordance with unified rules. Save records by individual stock in Markdown format, and simultaneously write to SQLite for statistics and quantitative review.
Manage LLMem — structured memory system with SQLite-backed factual memory, semantic search, and background dreaming (decay, boost, promote, merge). Use when the user wants to: (1) add, search, update, or delete memories, (2) generate context for injection, (3) check memory stats, (4) run background consolidation/dream. Triggers on: "memory", "remember", "recall", "llmem", "memories", "forget", "consolidate memories", "dream".
Complete guide for using drift database library in Flutter applications. Use when building Flutter apps that need local SQLite database storage with type-safe queries, reactive streams, migrations, and efficient CRUD operations. Includes setup with drift_flutter package, StreamBuilder integration, Provider/Riverpod patterns, and Flutter-specific database management for mobile, web, and desktop platforms.
综合页搜索完成后，从本地 sqlite capture_results 聚类/阈值筛选盗版分组；并通过 feishu-bitable-task-manager 创建子任务、通过 group-webhook-dispatch upsert webhook 计划。用于 wechat-search-collector 综合页搜索后置流程（detect.json 产出/读取、子任务创建、webhook 计划写入）。