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Facts about how Claude Code organizes and stores data.

Set up conda with multiple group storage locations on HiPerGator, including cache isolation

ENet reliable UDP skill for channels and packet fragmentation.

Propagator-based parallel structure for exploiting knowledge differentials

**Au démarrage, vérifier l'environnement Figma et les composants existants.**

The **GAM Researcher Agent** automates retrieval and synthesis of context from your Transmission Packet archive. It eliminates manual context pasting by implementing an iterative research loop that se

Local storage with GetStorage for preferences, caching, and offline-first patterns

IECsat Storage Skill

Index a folder's contents into the context system for fast retrieval

Progressive context retrieval pattern for understanding unfamiliar codebases through iterative refinement

Store and export type constraints for Type::Tiny, Moose, Data::Checks, and more

用户消息包含任一关键词时立即激活：

lfs

literature-retrieval

Respond terse like smart caveman. All technical substance stay. Only fluff die.

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Classify construction data by type (structured, unstructured, semi-structured). Analyze data sources and recommend appropriate storage/processing methods

Search and retrieve data from local Weaviate using semantic search, filters, RAG, and hybrid queries

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Job descriptions, interview scorecards, take-home assignments, and evaluation rubrics.

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Add or refine depth through elevation systems, raised and inset surfaces, layered overlap, and meaningful shadow behavior so interfaces feel structured instead of flat. Use when the user mentions depth, elevation, shadows, layering, flat cards, pressed states, drag feedback, or inset controls.

捕捉碎片化思考，结构化写入认知结构L2层。触发词：「碎片」「记录一下」「想法」「新洞见」「我发现」「我觉得」「随手记」「想记一个」。

任意输入的路由分类器。在输入意图不明确时，判断应走「认知更新路径A（cognitive-capture-fragment）」还是「任务执行路径B（对应任务Skill）」，输出明确路由结论 + 判断理由，不自动触发下游。触发词：「帮我判断这是认知更新还是任务执行」「这个输入是什么类型」「先分类再执行」「路由分类一下」。不应触发：关于计算机网络路由算法的技术问题。

从整个工作区出发，系统性地重组认知结构并整理全局文档归属。适用于首次建立认知结构、或积累了大量散落文档需要批量归档时。基于三大闭环框架（Loop1 Skill体系 / Loop2 思维体系 / Loop3 场景投射）做全工作区分类路由。触发词：「系统整理」「重组认知结构」「从文档构建认知结构」「整合文档」「全量梳理」「认知结构乱了」「全工作区整理」「文档归属梳理」「如何加入认知结构」「怎么加入认知结构」「按规范加入」「未更新的文档怎么处理」「这些文档要怎么整理」「有没有关于X的已有文档」。注意：若用户仅询问流程而非执行重组，执行 Step 0.5（检查分类清单现状）后，先向用户展示已有文档状态和分类建议，再确认是否执行完整重组。

Imported skill __main__ from langchain

Run configuration handling for persistent command configuration storage

Standardizes date handling and timezone logic (UTC/PKT) for travel bookings. Use when displaying or saving tour dates.

Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, ingesting files, saving web content, or handling PDF, HTML, DOCX, TXT, Markdown.

mgrep is a semantic search tool that enables natural language queries across code, text, PDFs, and images. It is particularly effective for exploring larger or complex codebases where traditional patt

Evaluate and validate ground truths for Oak semantic search using the COMMIT protocol.

Announce: "I'm using the /brag skill to update your brag document with recent accomplishments."

name: supertag

Create a skill distribution system that enables AI agents (Claude Code, Codex) to use GNO perfectly.

feat: add iterative-retrieval skill for structured max-3-cycle agent spawning

> AI 原生 Tool Calling 架构 — 单 runtime，LLM 自主编排。

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Advanced semantic retrieval and concept matching across PAI history. USE WHEN you need to find conceptually related solutions or patterns, even if keywords don't match.

Eigenständige Dokumentsynthese aus RAG-Kontext. Generiert versionierte Markdown-Dokumente (Systemzustand, Grow-Zusammenfassung, Skill-Inventar etc.) via LLM auf Basis lokaler RAG-Retrieval-Ergebnisse. Kein RAG-Rückschreiben – nur Quell-Retrieval.

Growbox-Betrieb. Täglicher Diary-Eintrag, Tagesbericht via Telegram, Sensor-Snapshots aus Home Assistant. Deterministisch, kein LLM-Aufruf.