AI Agent Skills

Analyze code changes and update KNOWLEDGE_BASE.md with architectural and feature changes.

把 AI 对话中有价值的内容沉淀到 Obsidian 知识库。 检索知识库内容回答问题，只基于已有内容，不杜撰。 触发方式：/jacky-wiki、「存到知识库」「沉淀一下」「这个记下来」「知识库里有没有…」 Save valuable AI conversation content to the Obsidian knowledge…

Unified OKF Harness entrypoint for Claude Code. Use when the user asks to create, find, select, repair, check, ingest into, reconcile, answer from, or graph an OKF Harne…

Maintain a project-local, version-pinned wiki of every external dependency. Use whenever a new library is being added, an existing one is being upgraded, an idiom for us…

Prove that a knowledge base actually works before trusting it — after building or adopting docs, a knowledge graph, or a wiki, verify it can orient a fresh agent and res…

在风险分析完成后、写测试代码之前，生成中文业务用例并等待用户确认。这是整个 QA 流程中唯一的强制人工门禁——确认后不可回头改用例。 从 context、risk-analysis、已有用例索引出发，生成只含业务行为的 test-cases.json（不含技术检查如 Maven/build/安装）， 渲染 test-cases.html…

Sensitivity registry for PolicyEngine microsim results — maps {program x deviation signature} to the calibration target or imputed variable most likely driving a mismatc…

Master orchestrator for preparing research proposals and funding-application proposals in food, nutrition & agricultural science. Like food-pipeline, but for proposals:…

Multi-reviewer peer-review system for food & nutrition manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology/statistics,…

Knowledge base for finding cryptographic failures - weak hashing/encryption, insecure randomness, hardcoded/static keys and IVs, ECB mode, missing integrity, and predict…

Use the notebook knowledge base (the local SQLite RAG /agy:notebook builds from a folder of documents) to do precise, grounded, cited work — total amounts by category, f…

Entry point / dispatcher for the security-harness. Use when the user asks for any application-security work - 'security review', 'audit this codebase', 'pentest', 'find…

Use when a task depends on tech you don't actually know, an unfamiliar library, a fast-moving framework, a tricky API, an unfamiliar codebase: or whenever "I think it wo…

Theoretical foundations of Working, Semantic, and Episodic memory systems for autonomous agents.

Poison a RAG/knowledge-base pipeline so retrieved content hijacks the model (indirect prompt injection at scale) or exfiltrates data. Load when the app does retrieval ov…

Guides designing retrieval-augmented generation (RAG) pipelines: document chunking, embedding, indexing, retrieval, and grounding LLM output in retrieved content. Use wh…