GitHub
alphavantage-earnings
Consensus estimates and earnings data from Alpha Vantage.
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编程开发 AI 技能
发现 编程开发 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
skill-update
Self-improvement protocol for Neo4j agents. Instructs agents to report skill updates needed.
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GitHub
neo4j-transcript
Query earnings call transcripts, Q&A exchanges, and prepared remarks from Neo4j. Use when fetching transcript or earnings call data.
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GitHub
agent-run
Run prompt with OpenAI or Gemini provider via agent CLI
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GitHub
perplexity-research
Exhaustive multi-source research reports. Use for deep investigation.
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GitHub
filtered-data
Passthrough filter agent. Calls data sub-agents, validates responses, returns only clean data.
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GitHub
test-resume
Test subagent resumption - call agent twice, verify context preserved
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GitHub
neo4j-report
Query SEC filings (8-K, 10-K, 10-Q), extracted sections, exhibits, and financial statements from Neo4j. Use when fetching report/filing data.
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GitHub
evidence-standards
Evidence citation and domain scope standards for Neo4j subagents. Prevents hallucination and ensures audit trail.
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GitHub
multi-compare
Run the same prompt with Claude, OpenAI, and Gemini in parallel, then return back exact replies you got back without modifying the results one bit.
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GitHub
perplexity-search
Raw web search results (URLs, snippets). Use when you need a list of sources, not a synthesized answer.
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GitHub
earnings-attribution
Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.
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GitHub
neo4j-schema
Core Neo4j schema reference with all labels, relationships, data types, and indexes. Use when exploring database structure, checking field types, or understanding the financial knowledge graph schema.
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GitHub
perplexity-ask
Quick factual Q&A with citations. Use for simple lookups and single facts.
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GitHub
earnings-prediction
Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.
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GitHub
perplexity-reason
Multi-step reasoning with Chain-of-Thought. Use for 'why' questions and comparisons.
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GitHub
neo4j-xbrl
Query XBRL financial metrics (EPS, Revenue, etc.) from Neo4j. Use when fetching structured financial data from 10-K/10-Q filings.
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GitHub
guidance-inventory
Builds and maintains cumulative guidance inventory for a company. Use when collecting historical guidance, updating guidance after earnings, preparing context for prediction/attribution workflows, or when user...
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GitHub
earnings-attribution
Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.
☆ 2查看技能
GitHub
neo4j-news
Query news articles from Neo4j with fulltext and vector search. Use when fetching news data or searching news content.
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GitHub
earnings-orchestrator
Master orchestrator for batch earnings analysis. Processes all 8-Ks for a company chronologically, running prediction→attribution loop with accuracy tracking.
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GitHub
neo4j-entity
Query companies, sectors, industries, price series, dividends, and splits from Neo4j. Use when fetching entity data or market information.
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GitHub
blockbench-hytale
Create Hytale models and animations using Blockbench MCP tools. Use when working with Hytale character/prop formats, creating attachments, setting shading modes, using quads, or animating with visibility keyfra...
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GitHub
blockbench-modeling
Create and edit 3D models in Blockbench using MCP tools. Use when building geometry with cubes, creating meshes, placing spheres/cylinders, editing vertices, extruding faces, or organizing models with groups. C...
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。