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Found 1,637 Skills
Workbench agent panel system — ef-edit CustomEvent pipeline, registry roll-up, selector grouping, and element property schema. Use when adding new GUI edit capture points, expanding the inspector schema, or continuing development of the EFAgentPanel feature.
Detector and proof-of-concept LPE toolkit for CVE-2026-31431 ("Copy Fail"), a Linux kernel algif_aead page-cache scratch-write vulnerability enabling local privilege escalation.
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package.
Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. Use when chunking PDFs, HTML, plain text, or Markdown; extracting entities and relationships from text with an LLM (SimpleKGPipeline, neo4j-graphrag); loading JSON via apoc.load.json; building Document→Chunk→Entity graph structures; or connecting LangChain/LlamaIndex document loaders to Neo4j. Covers neo4j-graphrag SimpleKGPipeline, LLM Graph Builder web UI, entity resolution, chunking strategies, and graph schema design for RAG pipelines. Does NOT handle structured CSV/relational import — use neo4j-import-skill. Does NOT handle GraphRAG retrieval after ingestion — use neo4j-graphrag-skill. Does NOT handle vector index creation — use neo4j-vector-search-skill.
TOC router for PyGraphistry tasks. Use when a request involves PyGraphistry and you need to choose the right workflow: loading/ETL shaping, visualization/layout/sharing, GFQL queries (Cypher, chain-lists, Let/DAG, GRAPH constructors), AI/UMAP/embed/semantic-search workflows, or connector-specific ingestion.
AI project intelligence system. Manages .ai/ directory for rules, behaviours, sessions, incidents, memory, snapshots, and learning loops. Use when: starting a session, switching behaviour, logging an incident, saving feedback, reviewing past sessions, checking active hotfixes, managing snapshots, creating snippets/prompts. Proactively suggest when: user corrects AI behavior ("no", "don't", "wrong", "stop", "always", "never"), session ends, a mistake pattern repeats, starting work on unfamiliar code, user says "remember this" or "learn this".
Execute Claude Code commands in the telegram_agent project directory. Use when the user wants to work on the telegram agent itself, fix bugs, add features, or modify the bot code. This is a COMMAND HANDLER, not a script executor.
Scaffold a new Claude Code plugin with proper directory structure, plugin.json, skills, commands, and agents
This skill is applicable when users explicitly request to 'write/generate NSFC budget specification', 'write budget explanation', 'generate budget.tex / budget.pdf', or 'write NSFC budget justification'. Based on the user's proposal text or supplementary materials, output a submittable budget specification LaTeX project and render `budget.pdf`. If the user does not specify a working directory, you must pause and ask them to specify it first. ⚠️ Not applicable: Users only want to understand budget principles; users only want budget table figures without writing the specification; or users are in the 2026 Youth A/B/C default lump-sum scenario where no budget specification is required.
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, structured data storage, S3 Tables, Iceberg, Athena table, partitioning strategy, access permissions. Do NOT use for: importing files (use ingesting-into-data-lake), vector storage (use storing-and-querying-vectors), querying existing tables (use querying-data-lake), or locating existing table (use finding-data-lake-assets).
ComfyUI custom node project structure - directory layout, __init__.py, registration, requirements.txt, publishing, WEB_DIRECTORY. Use when setting up a new custom node project, packaging nodes, or publishing to the registry.
Open Orbit briefing skill — selected by the Orbit pipeline when GitHub is the user's only connected connector, or when the user explicitly scopes their daily digest to GitHub. Pulls the past 24 hours of PRs, review requests, issues, CI runs, and merges from the user's authenticated GitHub connection and renders them in a layout that mirrors GitHub's native Notifications + PR-diff visual language. This skill should not be triggered manually — it is invoked by Orbit's daily-digest scheduler against live GitHub data.