zsxq-summary
Knowledge Planet content aggregation and investment analysis — automatically scrape Planet posts + parse PDF attachments, provide summary digests and investment reference suggestions
Skills
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Updated 11-05 00:16
Data & analytics
17,418 results
oh-my-demo
Instrument and rehearse a dedicated demo branch of a real web, desktop, mobile, or CLI application with deterministic data while preserving production UI and…
stock-analysis
Run daily and weekly stock market analysis covering AGI buildout (data centers, semiconductors, cloud, power, cooling, networking) and defense/cyber sectors.…
data-ingest
Ingest any raw text data, conversation logs, chat exports, or unstructured documents into the Obsidian wiki. Use this skill when the user wants to process data…
volcengine-ai-search-rag
Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search…
resplite-ft-search-workbench
Builds or refines RESPLite `FT.*` behavior and RediSearch migration mapping on top of SQLite FTS5. Use when the user says "add FT command support", "fix…
bitcoin-fee-estimation
Fee estimation strategies: local mempool-based (estimatesmartfee), external APIs (mempool.space, BlockCypher), bitcoind's smart-fee algorithm, replacement…
bitcoin-infrastructure-esplora
Esplora: Blockstream's HTTP-based block explorer + indexer. REST API at /api/<endpoint>. Powers blockstream.info, mempool.space's earlier versions, and…
bitcoin-rbf-cpfp
Replace-by-Fee (BIP125, full-RBF) and Child-Pays-For-Parent fee bumping. Cluster mempool policy (Core 31.0+), package CPFP via submitpackage, TRUC v3 (BIP431).…
distributed-ledger
Distributed-ledger / blockchain architecture in general (engine-agnostic): when a ledger beats a database, consensus families (PoW/PoS/BFT), L1 vs L2 (rollups,…
lightning-onion
Sphinx onion routing for Lightning (BOLT 4): packet structure, per-hop encryption, payload TLV, blinded paths, attribution data, onion messages. USE WHEN:…
pgvector-advanced
Advanced pgvector 0.7+ on PostgreSQL. HNSW vs IVFFlat tuning, halfvec / bit / sparsevec types, binary quantization, hybrid search with pg_trgm + tsvector,…
rag-architecture
RAG system architecture and design decisions. Covers naive vs advanced vs agentic RAG, decision trees for RAG vs fine-tuning vs long context, production…
systems-networking
Systems-level networking architecture: kernel-bypass (DPDK, io_uring, eBPF/XDP), zero-copy, the network stack data path, NIC offloads, congestion control,…
weaviate-advanced
Advanced Weaviate 1.27+ features. Native hybrid (BM25+vector) search, modules (reranker, generative), multi-tenancy, replication, compression (PQ / BQ /…
content-extractor
Extract structured content from web pages using CF Browser MCP tools
smart-bed
Control Eight Sleep Pod smart bed via CLI. Check bed status, set mattress temperature for each side, manage alarm schedules, and view sleep data. Use when user…
data-visualisation-uplift
Override default chart aesthetics. Replaces grey gridlines, rainbow palettes, and legend-heavy layouts with spectral data semantics, OLED-optimised dark…
data-validation
Zod and Pydantic validation patterns for input sanitisation, schema definition, and type-safe data contracts across the Next.js frontend and FastAPI backend.…
vector-search
pgvector embedding queries, similarity search, hybrid search, and multi-provider embedding generation for Supabase/PostgreSQL. Codifies the project's existing…
data-analyst
Act as an interactive data analyst for ClickHouse-backed analytics. Use when the user asks questions about internal data, metrics, dashboards, telemetry,…
analyzer
Analyze queried data for trends, week-over-week comparisons, distributions, funnels, cohorts, top-N lists, anomalies, sanity checks, and report-ready findings.…
artifact-management
Save, organize, and describe reusable analysis artifacts such as SQL, result snapshots, CSV exports, summaries, caveats, plots, and report-ready files. Use…
reading-data-dict
Read project data documentation (data dictionaries, dbt manifests, model docs, column descriptions, lineage, metric definitions) before writing analytics SQL.…